diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2544\347\253\240 \346\217\222\345\200\274/ThrSample2.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2544\347\253\240 \346\217\222\345\200\274/ThrSample2.m" index ccdd18f7e1b937830892362ce4a9ceb70bd3e030..b751311840338a564058f79aaa777841534106a6 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2544\347\253\240 \346\217\222\345\200\274/ThrSample2.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2544\347\253\240 \346\217\222\345\200\274/ThrSample2.m" @@ -1,3 +1,51 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:d28d6aa66649955368e3b7c92223bcff0a32f3bb95f36f1d9f413cc5cee38488 -size 1466 +function [f,f0] = ThrSample2 (x,y,y2_1, y2_N,x0) +syms t; +f = 0.0; +f0 = 0.0; + +if(length(x) == length(y)) + n = length(x); +else + disp('x和y的维数不相等!'); + return; +end %维数检查 + +for i=1:n + if(x(i)<=x0)&& (x(i+1)>=x0) + index = i; + break; + end +end %找到x0所在区间 + +for i=1:n + if(x(i)<=x0)&& (x(i+1)>=x0) + index = i; + break; + end +end %找到x0所在区间 + +A = diag(2*ones(1,n)); %求解m的系数矩阵 +A(1,2) = 1; +A(n,n-1) = 1; +u = zeros(n-2,1); +lamda = zeros(n-1,1); +c = zeros(n,1); +for i=2:n-1 + u(i-1) = (x(i)-x(i-1))/(x(i+1)-x(i-1)); + lamda(i) = (x(i+1)-x(i))/(x(i+1)-x(i-1)); + c(i) = 3*lamda(i)*(y(i)-y(i-1))/(x(i)-x(i-1))+ ... + 3*u(i-1)*(y(i+1)-y(i))/(x(i+1)-x(i)); + A(i, i+1) = u(i-1); + A(i, i-1) = lamda(i); %形成系数矩阵及向量c +end +c(1) = 3*(y(2)-y(1))/(x(2)-x(1))-(x(2)-x(1))*y2_1/2; +c(n) = 3*(y(n)-y(n-1))/(x(n)-x(n-1))-(x(n)-x(n-1))*y2_N/2; + +m = followup(A,c); %用追赶法求解方程组 +h = x(index+1) - x(index); %x0所在区间长度 +f = y(index)*(2*(t-x(index))+h)*(t-x(index+1))^2/h/h/h + ... + y(index+1)*(2*(x(index+1)-t)+h)*(t-x(index))^2/h/h/h + ... + m(index)*(t-x(index))*(x(index+1)-t)^2/h/h - ... + m(index+1)*(x(index+1)-t)*(t-x(index))^2/h/h; + %x0所在区间的插值函数 +f0 = subs(f,'t',x0); %x0处的插值 diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2544\347\253\240 \346\217\222\345\200\274/ThrSample3.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2544\347\253\240 \346\217\222\345\200\274/ThrSample3.m" index 63715bf86af66d7c961517a676f2a138844322bb..edae7cf33013b733d3e8a905f3dd5d4fbba750d9 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2544\347\253\240 \346\217\222\345\200\274/ThrSample3.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2544\347\253\240 \346\217\222\345\200\274/ThrSample3.m" @@ -1,3 +1,57 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:6f8000d9d2a9f9aa94a9e4db120bf5b1e599329e2d8db2b631f0888acdaf7b92 -size 1573 +function [f,f0] = ThrSample3 (x,y,x0) +syms t; +f = 0.0; +f0 = 0.0; + +if(length(x) == length(y)) + n = length(x); +else + disp('x和y的维数不相等!'); + return; +end %维数检查 + +for i=1:n + if(x(i)<=x0)&& (x(i+1)>=x0) + index = i; + break; + end +end %找到x0所在区间 + +for i=1:n + if(x(i)<=x0)&& (x(i+1)>=x0) + index = i; + break; + end +end %找到x0所在区间 + +A = diag(2*ones(1,n-1)); %求解m的系数矩阵 +h0 = x(2)-x(1); +h1 = x(3)–x(2); +he = x(n)-x(n-1); +A(1,2) = h0/(h0+h1); +A(1,n-1) = 1 - A(1,2); +A(n-1,1) = he/(h0+he); +A(n-1,n-2) = 1 - A(n-1,1); + +c = zeros(n-1,1); +c(1) = 3* A(1,n-1)*(y(2)-y(1))/h0 + 3* A(1,2)*(y(3)-y(2))/h1; +for i=2:n-2 + u = (x(i)-x(i-1))/(x(i+1)-x(i-1)); + lamda = (x(i+1)-x(i))/(x(i+1)-x(i-1)); + c(i) = 3*lamda*(y(i)-y(i-1))/(x(i)-x(i-1))+ ... + 3*u*(y(i+1)-y(i))/(x(i+1)-x(i)); + A(i, i+1) = u; + A(i, i-1) = lamda; %形成系数矩阵及向量c +end +c(n-1) = 3*( he*(y(2)-y(1))/h0+h0*( y(n)-y(n-1))/he)/(h0+he); + +m = zeros(n,1); +[m(2:n),Q,R] = qrxq(A,c); %用qr分解法法求解方程组 +m(1) = m(n); +h = x(index+1) - x(index); %x0所在区间长度 +f = y(index)*(2*(t-x(index))+h)*(t-x(index+1))^2/h/h/h + ... + y(index+1)*(2*(x(index+1)-t)+h)*(t-x(index))^2/h/h/h + ... + m(index)*(t-x(index))*(x(index+1)-t)^2/h/h - ... + m(index+1)*(x(index+1)-t)*(t-x(index))^2/h/h; + %x0所在区间的插值函数 +f0 = subs(f,'t',x0); %x0处的插值 diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/Chebyshev.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/Chebyshev.m" index f483c3467979a341dedbe4fce988cf8f48228157..0e0a641e0183398c55721793e1559c582d54c036 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/Chebyshev.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/Chebyshev.m" @@ -1,3 +1,25 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:744983abe28e924f1fc5e40ec8e77e7d05c4bb349e164ad76bcccfe19edad289 -size 575 +function f = Chebyshev(y,k,x0) +syms t; +T(1:k+1) = t; +T(1) = 1; +T(2) = t; +c(1:k+1) = 0.0; + +c(1)=int(subs(y,findsym(sym(y)),sym('t'))*T(1)/sqrt(1-t^2),t,-1,1)/pi; +c(2)=2*int(subs(y,findsym(sym(y)),sym('t'))*T(2)/sqrt(1-t^2),t,-1,1)/pi; +f = c(1)+c(2)*t; + +for i=3:k+1 + T(i) = 2*t*T(i-1)-T(i-2); + c(i) = 2*int(subs(y,findsym(sym(y)),sym('t'))*T(i)/sqrt(1-t^2),t,-1,1)/2; + f = f + c(i)*T(i); + f = vpa(f,6); + + if(i==k+1) + if(nargin == 3) + f = subs(f,'t',x0); + else + f = vpa(f,6); + end + end +end \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/DFF.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/DFF.m" index f3078639beffc71a2c8f96f3eed37655cd503e21..6c4e00d6fabc690e3ccef1b865a0182dee3ab263 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/DFF.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/DFF.m" @@ -1,3 +1,8 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:2c5220c80afc3ecd451ea7cfc689a35e4bf95833b1fc91a016d452882cd78c80 -size 136 +function c = DFF(f,N) +c(1:N)=0; +for(m=1:N) + for(n=1:N) + c(m)=c(m)+f(n)*exp(-i*m*n*2*pi/N); + end + c(m)=c(m)/N; +end \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/FZZ.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/FZZ.m" index bd1a7ebb87ce7a6ccbd21112aff2b62ddb8ba805..639aa7d2658068dcc1a78c856b1f8151ea0aa5b0 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/FZZ.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/FZZ.m" @@ -1,3 +1,11 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:04e895cb4d427ec23fb76d6cf6d3ab98c61f59404c7e250153a42c7fbad0a7a9 -size 303 +function [A0,A,B]=FZZ(func,T, n) +syms t; +func = subs(sym(func), findsym(sym(func)),sym('t')); +A0=int(sym(func),t,-T/2,T/2)/T; +for(k=1:n) + A(k)=int(func*cos(2*pi*k*t/T), t,-T/2,T/2)*2/T; + A(k)=vpa(A(k),4); + B(k)=int(func*sin(2*pi*k*t/T), t,-T/2,T/2)*2/T; + B(k)=vpa(B(k),4); +end + \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/LZXEC.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/LZXEC.m" index b4b244fff73d1af844b8b7bf62e2744c48cb58f4..5433b9b9898a1226a861d2982eb350f2b779c5e7 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/LZXEC.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/LZXEC.m" @@ -1,3 +1,22 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:4657e781854a873e1a3886176200f91b20bda752c6943b49a997ed1ab259e6e9 -size 408 +function [a,b]=LZXEC(x,y) +if(length(x) == length(y)) + n = length(x); +else + disp('x和y的维数不相等!'); + return; +end %维数检查 + +A = zeros(2,2); +A(2,2) = n; +B = zeros(2,1); +for i=1:n + A(1,1) = A(1,1) + x(i)*x(i); + A(1,2) = A(1,2) + x(i); + B(1,1) = B(1,1) + x(i)*y(i); + B(2,1) = B(2,1) + y(i); +end +A(2,1) = A(1,2); + +s = A\B; +a = s(1); +b = s(2); diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/Legendre.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/Legendre.m" index 39ba294dccb856d822742bfa7c8cdd5d3733bc27..ee9ea48305585ed02f6c5c57a3ead8ddc795054d 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/Legendre.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/Legendre.m" @@ -1,3 +1,24 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:b58a9bba317f4b32e59a4fd8d78589e2d8116610d1694b7a9ab971b35c116b48 -size 526 +function f = Legendre(y,k,x0) +syms t; +P(1:k+1) = t; +P(1) = 1; +P(2) = t; +c(1:k+1) = 0.0; + +c(1)=int(subs(y,findsym(sym(y)),sym('t'))*P(1),t,-1,1)/2; +c(2)=int(subs(y,findsym(sym(y)),sym('t'))*P(2),t,-1,1)/2; +f = c(1)+c(2)*t; + +for i=3:k+1 + P(i) = ((2*i-3)*P(i-1)*t-(i-2)*P(i-2))/(i-1); + c(i) = int(subs(y,findsym(sym(y)),t)*P(i),t,-1,1)/2; + f = f + c(i)*P(i); + + if(i==k+1) + if(nargin == 3) + f = subs(f,'t',x0); + else + f = vpa(f,6); + end + end +end \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/Pade.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/Pade.m" index c5952bb8d338127d7f3cfeba2400055f4e9756c0..790b793b2c39fc7b3bcdb03214dd4ad1ae091e20 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/Pade.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/Pade.m" @@ -1,3 +1,48 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:8731a5f6d804a4da9b34825c7e3307cb0e4c9e31a8a889d77236377143178584 -size 780 +function f = Pade(y,n,x0) +syms t; + +A = zeros(n,n); +q = zeros(n,1); +p = zeros(n+1,1); +b = zeros(n,1); +yy = 0; +a(1:2*n) = 0.0; + +for(i=1:2*n) + yy = diff(sym(y),findsym(sym(y)),n); + a(i) = subs(sym(yy), findsym(sym(yy)), 0.0)/factorial(i); +end; + +for(i=1:n) + for(j=1:n) + A(i,j)=a(i+j-1); + end; + b(i,1) = -a(n+i); +end; + +q = A\b; +p(1) = subs(sym(y),findsym(sym(y)),0.0); +for(i=1:n) + p(i+1) = a(n)+q(i)*subs(sym(y),findsym(sym(y)),0.0); + for(j=2:i-1) + p(i+1)=p(i+1)+q(j)*a(i-j); + end +end + +f_1 = 0; +f_2 = 1; +for(i=1:n+1) + f_1 = f_1 + p(i)*(t^(i-1)); +end + +for(i=1:n) + f_2 = f_2 + q(i)*(t^i); +end + +if(nargin == 3) + f = f_1/f_2; + f = subs(f,'t',x0); +else + f = f_1/f_2; + f = vpa(f,6); +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/SmartBJ.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/SmartBJ.m" index 172d41dcfed8f579dae9ab3685d6f2ba2dc17eb3..ad35158d447fb553c903659841ec3553fa258c44 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/SmartBJ.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/SmartBJ.m" @@ -1,3 +1,64 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:84e0d55abb83831270b6bb2e75328e320f844cba1cb5b7f7739415f8cf22846b -size 1728 +function [node,err] = SmartBJ(func,a,b,maxtol) +format long; +node(1) = a; +node(2) = b; +num = 2; +if(b-a)<10 + n = 5; +else + n = 10; +end +err = 0; +bSign = 1; +while (bSign) + bSign = 0; + knode = node; + tnum = num; + insert_num = 0; + for i=1:(tnum-1) + [mx,mv] = FindMX(func,knode(i),knode(i+1),n); + %找到区间[knode(i),knode(i+1)]上的误差最大的点 + if mv > maxtol + %如果误差超过给定精度,在此点将区间[knode(i),knode(i+1)]分为两段 + d(1:(i+insert_num)) = node(1:(i+insert_num)); + d(i+insert_num+1) = mx; + num = num+1; + d((i+insert_num+2):num) = node((i+insert_num+1):(num-1)); + node = d; + bSign = 1; + insert_num = insert_num + 1; + else + if(mv>err) + err = mv; %记录所有分段线性插值区间上的最大误差 + end + end + end +end +format short; + +function [max_x,max_v] = FindMX(func,a,b,n) +format long; +eps = 1.e-3; +max_v = 0; +max_x = a; +fa = subs(sym(func), findsym(sym(func)),a); %左端点函数值 +fb = subs(sym(func), findsym(sym(func)),b); %右端点函数值 +step = n/5; +tol = 1; +tmp = 0; +while tol>eps + t = a; + for j=0:(n/step) %此循环找出取最大值的x + t = a + j*step*(b-a)/n; + pt = fa + (t-a)*(fb-fa)/(b-a); %线性插值得出的函数值 + ft = subs(sym(func), findsym(sym(func)),t); + if abs(ft-pt)>max_v %abs(f(x)-p(x)) + max_v = abs(ft-pt); %记录最大误差 + max_x = t; %记录此点坐标 + end + end + tol = abs(max_x-tmp); + tmp = max_x; + step = step/2; +end +format short; diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/SmartYTBJ.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/SmartYTBJ.m" index c3987a18a19542d2cd289b51c5b711f889528263..c33655a47221f0ccd7ff4bb8771053944644b58c 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/SmartYTBJ.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/SmartYTBJ.m" @@ -1,3 +1,70 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f0e1c41450dff43029a5af2d65b8a716dbcd580e61ce4c8f6c6a056a9e0e3878 -size 1991 +function [node,err] = SmartYTBJ(func,a,b,y_s,y_e,maxtol) +format long; +node(1) = a; +node(2) = b; +num = 2; +if(b-a)<10 + n = 5; +else + n = 10; +end +err = 0; +bSign = 1; +while (bSign) + bSign = 0; + for l=1:num + y(l) = subs(subs(sym(func), findsym(sym(func)),node(l))); + end + knode = node; + tnum = num; + insert_num = 0; + for i=1:(tnum-1) + pfx = ThrSample1(knode,y,y_s,y_e,((knode(i)+knode(i+1))/2)); + %上式给出每个分段区间上的样条插值函数 + [mx,mv] = FindMX(func,pfx,knode(i),knode(i+1),n); + %找到区间[knode(i),knode(i+1)]上的误差最大的点 + if mv > maxtol + %如果误差超过给定精度,在此点将区间[knode(i),knode(i+1)]分为两段,即将此点加 + %入结点数组中 + d(1:(i+insert_num)) = node(1:(i+insert_num)); + d(i+insert_num+1) = mx; + num = num+1; + d((i+insert_num+2):num) = node((i+insert_num+1):(num-1)); + node = d; + bSign = 1; + insert_num = insert_num + 1; + else + if(mv>err) + err = mv; %记录所有样条插值区间上的最大误差 + end + end + end +end +format short; + +function [max_x,max_v] = FindMX(func,pfx,a,b,n) +format long; +eps = 1.e-3; +max_v = 0; +max_x = a; +fa = subs(sym(func), findsym(sym(func)),a); %左端点函数值 +fb = subs(sym(func), findsym(sym(func)),b); %右端点函数值 +step = n/5; +tol = 1; +tmp = 0; +while tol>eps + t = a; + for j=0:(n/step) %此循环找出取最大值的x + t = a + j*step*(b-a)/n; + pt = subs(sym(pfx), findsym(sym(pfx)),t); %样条插值得出的函数值 + ft = subs(sym(func), findsym(sym(func)),t); + if abs(ft-pt)>max_v %abs(f(x)-p(x)) + max_v = abs(ft-pt); %记录最大误差 + max_x = t; %记录此点坐标 + end + end + tol = abs(max_x-tmp); + tmp = max_x; + step = step/2; +end +format short; diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/ZJPF.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/ZJPF.m" index 64dd469117e13942ab87805bcc76d7e93facf153..15eb0150b2c0c92e67878bc9fd25d3e8cb961b42 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/ZJPF.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/ZJPF.m" @@ -1,3 +1,17 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5af4f34a836591f79125ed43a871bb1e3ba9d0fcde562ad9d78128fd8f8a7b60 -size 492 +function coff=ZJPF(func,n,a,b) +C = zeros(n+1,n+1); +var = findsym(sym(func)); +func = func/var; +for i=1:n+1 + C(1,i)=(power(b,i)-power(a,i))/i; %算法中的C矩阵的第一行 + func = func*var; + d(i,1)=int(sym(func),var,a,b); %算法中的D向量的第一行 +end + +for i=2:n+1 + C(i,1:n)=C(i-1,2:n+1); + f1 = power(b,n+i); + f2 = power(a,n+i); + C(i,n+1)=(f1-f2)/(n+i); %形成C矩阵 +end +coff = C\d; %求解逼近多项式的系数 diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/ZJZXEC.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/ZJZXEC.m" index 05f05dcc68b0fc4b4240ef1dbf250d7c2b3665f4..ef534cb48fa327ccc439647d62b08fda872f060f 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/ZJZXEC.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/ZJZXEC.m" @@ -1,3 +1,61 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:b60ab187a4949ac9b4a8d8d5631feb3372f02d5d247da7542e684452570cc1fb -size 1350 +function a=ZJZXEC(x,y,m) +if(length(x) == length(y)) + n = length(x); +else + disp('x和y的维数不相等!'); + return; +end %维数检查 + +syms v; +d = zeros(1,m+1); +q = zeros(1,m+1); +alpha = zeros(1,m+1); +for k=0:m + px(k+1)=power(v,k); +end %x的幂多项式 +B2 = [1]; +d(1) = n; +for l=1:n + q(1) = q(1) + y(l); + alpha(1) = alpha(1) + x(l); +end +q(1) = q(1)/d(1); +alpha(1) = alpha(1)/d(1); +a(1) = q(1); +B1 = [-alpha(1) 1]; +for l=1:n + d(2) = d(2) + (x(l)-alpha(1))^2; + q(2) = q(2) + y(l)*(x(l)-alpha(1)); + alpha(2) = alpha(2) + x(l)*(x(l)-alpha(1))^2; +end +q(2) = q(2)/d(2); +alpha(2) = alpha(2)/d(2); +a(1) = a(1)+q(2)*(-alpha(1)); +a(2) = q(2); +beta = d(2)/d(1); + +for i=3:(m+1) + B = zeros(1,i); + B(i) = B1(i-1); + B(i-1) = -alpha(i-1)*B1(i-1)+B1(i-2); + for j=2:i-2 + B(j) = -alpha(i-1)*B1(j)+B1(j-1)-beta*B2(j); + end + B(1) = -alpha(i-1)*B1(1)-beta*B2(1); + BF = B*transpose(px(1:i)); + for l=1:n + Qx = subs(BF,'v',x(l)); + d(i) = d(i) + (Qx)^2; + q(i) = q(i) + y(l)*Qx; + alpha(i) = alpha(i) + x(l)*(Qx)^2; + end + alpha(i) = alpha(i)/d(i); + q(i) = q(i)/d(i); + beta = d(i)/d(i-1); + for k=1:i-1 + a(k) = a(k)+q(i)*B(k); + end + a(i) = q(i)*B(i); + B2 = B1; + B1 = B; +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/lmz.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/lmz.m" index 69f5bc806270a24afb15237a959375eee5c2fa0e..73886b2147c26ca4bca02b53a8c55aa851665021 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/lmz.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/lmz.m" @@ -1,3 +1,101 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:bdb73dff13de67c0feb69924fd464245701b07e9f9d6164b30710a21a7d0df9d -size 2997 +function [coff,err]= lmz(func,m,a,b,eps) +if(nargin == 4) + eps=1.0e-6; +end +syms v; +maxv = 0.0; +max_x = a; %记录abs(f(x)-p(x))取最大值的x +for k=0:m + px(k+1)=power(v,k); +end %p(x)多项式 +for i=1:m+2 + x(i)=0.5*(a+b+(b-a)*cos(3.14159265*(m+2-i)/(m+1))); + fx(i)=subs(sym(func), findsym(sym(func)),x(i)); +end %初始的x和f(x) +A = zeros(m+2,m+2); +for i=1:m+2 + for j=1:m+1 + A(i,j)=power(x(i),j-1); + end + A(i,m+2)=(-1)^i; +end +c =A\transpose(fx); %p(x)的初始系数 +u = c(m+2); %算法中的u +tol = 1; %精度 + +while(tol>eps) + t = a; + while(tmaxv + maxv = abs(ft-pt); + max_x = t; + end + end + if max_x>b + max_x = b; + end + %以下可参考算法的三个确定新点集的情况 + if (a<=max_x)&&(max_x<=x(2)) %第一种情况 + f0 = subs(sym(func), findsym(sym(func)),x(2)); + px1 = subs(px,'v',x(2)); + pt = px1*c(1:m+1); + d1 = f0 - pt; + fm = subs(sym(func), findsym(sym(func)),max_x); + pm1 = subs(px,'v',max_x); + pm = pm1*c(1:m+1); + d2 = fm - pm; + if d1*d2>0 + x(2) = max_x; + end + else + if (x(m+1)<=max_x)&&(max_x<=b) %第二种情况 + f0 = subs(sym(func), findsym(sym(func)),x(m+1)); + px1 = subs(px,'v',x(m+1)); + pt = px1*c(1:m+1); + d1 = f0 - pt; + fm = subs(sym(func), findsym(sym(func)),max_x); + pm1 = subs(px,'v',max_x); + pm = pm1*c(1:m+1); + d2 = fm - pm; + if d1*d2>0 + x(m+1) = max_x; + end + else %第三种情况 + for i=2:m + if(x(i)<=max_x)&& (x(i+1)>=max_x) + index_x = i; + break; + end + end %找到max_x所在区间 + f0 = subs(sym(func), findsym(sym(func)),x(index_x)); + px1 = subs(px,'v',x(index_x)); + pt = px1*c(1:m+1); + d1 = f0 - pt; + fm = subs(sym(func), findsym(sym(func)),max_x); + pm1 = subs(px,'v',max_x); + pm = pm1*c(1:m+1); + d2 = fm - pm; + if d1*d2>0 + x(index_x) = max_x; + end + end + end + for i=1:m+2 %重新计算f(x) + fx(i)=subs(sym(func), findsym(sym(func)),x(i)); + end + for i=1:m+2 + for j=1:m+1 + A(i,j)=power(x(i),j-1); + end + A(i,m+2)=(-1)^i; + end + c =A\transpose(fx); %重新计算p(x)的系数 + tol = abs(c(m+2)-u); + u = c(m+2); +end +coff = c(1:m+1); +err = u; diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/multifit.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/multifit.m" index cd64491ba9921af9f1284bf5df6edd87e757d55b..8b7c49d09d9696a12f3bf79b3526d802f07d7e7e 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/multifit.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2545\347\253\240 \345\207\275\346\225\260\351\200\274\350\277\221/multifit.m" @@ -1,3 +1,28 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:7c7114ce01ec338f77a0b7d1ee4a8f677ef30dc61ff39057ccf08d51f7f03f16 -size 472 +function A=multifit(X,Y,m) +%A--输出的拟合多项式的系数 +N=length(X); +M=length(Y); +if(N ~= M) + disp('数据点坐标不匹配!'); + return; +end + +c(1:(2*m+1))=0; +b(1:(m+1))=0; + +for j=1:(2*m+1) %求出c和b + for k=1:N + c(j)=c(j)+X(k)^(j-1); + if(j<(m+2)) + b(j)=b(j)+Y(k)*X(k)^(j-1); + end + end +end + +C(1,:)=c(1:(m+1)); +for s=2:(m+1) + C(s,:)=c(s:(m+s)); +end + +A=b'\C; %直接求解法求出拟合系数 + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2546\347\253\240 \347\237\251\351\230\265\347\211\271\345\276\201\345\200\274\350\256\241\347\256\227/Chapoly.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2546\347\253\240 \347\237\251\351\230\265\347\211\271\345\276\201\345\200\274\350\256\241\347\256\227/Chapoly.m" index f7fc1f2c148216425fd7cc045cdf0f91f38cbf9f..f6dec6b1c52e05a2c686dc2ac9dbf8d66dc09c0b 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2546\347\253\240 \347\237\251\351\230\265\347\211\271\345\276\201\345\200\274\350\256\241\347\256\227/Chapoly.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2546\347\253\240 \347\237\251\351\230\265\347\211\271\345\276\201\345\200\274\350\256\241\347\256\227/Chapoly.m" @@ -1,3 +1,9 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f3b9e59fed41cd64c7a677b337855ce01ff77aaa42c36e2a02e3a35196fb381c -size 142 +function l = Chapoly(A) +syms t; + +N = size(A); +n = N(1,1); + +y = det(A-t*eye(n,n)); +l = solve(y); +l = vpa(l, 5); %结果取五位精度 \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2546\347\253\240 \347\237\251\351\230\265\347\211\271\345\276\201\345\200\274\350\256\241\347\256\227/dimethod.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2546\347\253\240 \347\237\251\351\230\265\347\211\271\345\276\201\345\200\274\350\256\241\347\256\227/dimethod.m" index d0f4d589553f43bdc2b3b5ad90b1cf8bfd9ea047..8fee7c4541b94f6e551c807a251a54e80b3ee087 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2546\347\253\240 \347\237\251\351\230\265\347\211\271\345\276\201\345\200\274\350\256\241\347\256\227/dimethod.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2546\347\253\240 \347\237\251\351\230\265\347\211\271\345\276\201\345\200\274\350\256\241\347\256\227/dimethod.m" @@ -1,3 +1,31 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:c2949abcfb9abdf153c35963be343cfec45916ef00feb559ecda6b3c7dde2260 -size 574 +function [l,v]=dimethod(A,x0,u,eps) +if nargin==3 + eps = 1.0e-6; +end + +N = size(A); +n = N(1,1); %n为A的阶 +v = x0; +M = 5000; %迭代步数限制 +m = 0; +l = 0; +for(k=1:M) + y = (A-u*eye(n,n))\v; + m = max(y); %m为按模最大的分量 + v = y/m; + + if(abs(m - l)1) + m=(y*v')/(v*v'); + end + v = y/m; + + if(abs(m - l)eps + n=n+1; + h=(b-a)/n; + I1=I2; + I2=0; + for i=0:n-1 + x=a+h*i; + x1=x+h; + I2=I2+(h/2)*(subs(sym(f),findsym(sym(f)),x)+subs(sym(f),findsym(sym(f)),x1)); + end +end + +I=I2; +step=n; + + \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DDBuer.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DDBuer.m" index 431d4ee940a6dd78b3cf842c0be6b65d817ff4fc..a9e6bcefda2b87db7efa27935ba59bdad0cd9d2a 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DDBuer.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DDBuer.m" @@ -1,3 +1,30 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:b2bbb635a0f36f61afcf3740b6e12289fd76543a8a252854259ccddeb4c6e7b8 -size 673 +function [I,step] = DDBuer(f,a,b,eps) +if(nargin==3) + eps=1.0e-4; +end; +n=1; +h=b-a; +I1=0; +I2=(subs(sym(f),findsym(sym(f)),a)+subs(sym(f),findsym(sym(f)),b))/h/2; +tol=1; +while tol>eps + n=n+1; + h=h/4; + I1=I2; + I2=0; + for i=0:(4^(n-1)-1) + x=a+h*4*i; + x1=x+h; + x2=x1+h; + x3=x2+h; + x4=x3+h; + I2=I2+(2*h/45)*(7*subs(sym(f),findsym(sym(f)),x)+... + 32*subs(sym(f),findsym(sym(f)),x1)+... + 12*subs(sym(f),findsym(sym(f)),x2)+... + 32*subs(sym(f),findsym(sym(f)),x3)+... + 7*subs(sym(f),findsym(sym(f)),x4)); + end + tol=abs(I2-I1); +end +I=I2; +step=n; \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DDSimpson.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DDSimpson.m" index 5a7c5fb01790e2a5f6cb22171f4f25cd118be075..e1b0ddf14c24db81c4cfbc0af60df876aebdef96 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DDSimpson.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DDSimpson.m" @@ -1,3 +1,27 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f7e19d1dad409599a4a3dbca8a4211e17c316a2696c97d0f790baa6ac74f0e70 -size 537 +function [I,step] = DDSimpson(f,a,b,eps) +if(nargin==3) + eps=1.0e-4; +end; +n=1; +h=b-a; +I1=0; +I2=(subs(sym(f),findsym(sym(f)),a)+... + subs(sym(f),findsym(sym(f)),b))/h/2; +tol=1; +while tol>eps + n=n+1; + h=h/2; + I1=I2; + I2=0; + for i=0:(2^(n-1)-1) + x=a+h*2*i; + x1=x+h; + x2=x1+h; + I2=I2+(h/3)*(subs(sym(f),findsym(sym(f)),x)+... + 4*subs(sym(f),findsym(sym(f)),x1)+... + subs(sym(f),findsym(sym(f)),x2)); + end + tol=abs(I2-I1); +end +I=I2; +step=n; \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DDTraprl.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DDTraprl.m" index bb7c6429db9243c57e1765521c6890997dd10570..97a1de8a99f429cc43a75aa1cf7f2874eccc8246 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DDTraprl.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DDTraprl.m" @@ -1,3 +1,24 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:87c6dbceaa0dfeaeb56e3a924cd2936aaa90abcbb6807b0786937ef5987fd506 -size 497 +function [I,step] = DDTraprl(f,a,b,eps) +if(nargin==3) + eps=1.0e-4; +end; +n=0; +h=(b-a); +I2=(subs(sym(f),findsym(sym(f)),a)+subs(sym(f),findsym(sym(f)),b))/h/2; +tol=1; +while tol>eps + n=n+1; + h=h/2; %区间逐次分半 + I1=I2; + I2=0; + for i=0:(2^n-1) + x=a+h*i; + x1=x+h; + I2=I2+(h/2)*(subs(sym(f),findsym(sym(f)),x)+... + subs(sym(f),findsym(sym(f)),x1)); %梯形公式 + end + tol=abs(I2-I1); +end + +I=I2; +step=n; \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DblSimpson.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DblSimpson.m" index a9da5fd83051fa51f7fa8b2457e0ed4511efda3e..62eb1df7e36188d3e49541aa1537ae915af1fd07 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DblSimpson.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DblSimpson.m" @@ -1,3 +1,37 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:2c4f093879a0c64ff489c3a7ec36a74db4822627b42a9c027a88cc69bc173d1e -size 1483 +function q=DblSimpson(f,a,A,b,B,m,n) +if(m==1 && n==1) %辛普森公式 + q=((B-b)*(A-a)/9)*(subs(sym(f),findsym(sym(f)),{a,b})+... + subs(sym(f),findsym(sym(f)),{a,B})+... + subs(sym(f),findsym(sym(f)),{A,b})+... + subs(sym(f),findsym(sym(f)),{A,B})+... + 4*subs(sym(f),findsym(sym(f)),{(A-a)/2,b})+... + 4*subs(sym(f),findsym(sym(f)),{(A-a)/2,B})+... + 4*subs(sym(f),findsym(sym(f)),{a,(B-b)/2})+... + 4*subs(sym(f),findsym(sym(f)),{A,(B-b)/2})+... + 16*subs(sym(f),findsym(sym(f)),{(A-a)/2,(B-b)/2})); + +else %复合辛普森公式 + q=0; + for i=0:n-1 + for j=0:m-1 + x=a+2*i*(A-a)/2/n; + y=b+2*j*(B-b)/2/m; + x1=a+(2*i+1)*(A-a)/2/n; + y1=b+(2*j+1)*(B-b)/2/m; + x2=a+2*(i+1)*(A-a)/2/n; + y2=b+2*(j+1)*(B-b)/2/m; + + q=q+subs(sym(f),findsym(sym(f)),{x,y})+... + subs(sym(f),findsym(sym(f)),{x,y2})+... + subs(sym(f),findsym(sym(f)),{x2,y})+... + subs(sym(f),findsym(sym(f)),{x2,y2})+... + 4*subs(sym(f),findsym(sym(f)),{x,y1})+... + 4*subs(sym(f),findsym(sym(f)),{x2,y1})+... + 4*subs(sym(f),findsym(sym(f)),{x1,y})+... + 4*subs(sym(f),findsym(sym(f)),{x1,y2})+... + 16*subs(sym(f),findsym(sym(f)),{x1,y1}); + end + end +end + +q=((B-b)*(A-a)/36/m/n)*q; \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DblTraprl.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DblTraprl.m" index 4a7278736086d55fb0c994c5f4dbb71b215784d9..bdb5eb7bf348a45954b858178858c7dac83fdf7d 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DblTraprl.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/DblTraprl.m" @@ -1,3 +1,31 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:db9423d111cbcc8ee3d627881b8c5b93cd6a98238834ab5ad10c46ed25cb8540 -size 733 +function q=DblTraprl(f,a,A,b,B,m,n) +if(m==1 && n==1) %梯形公式 + q=((B-b)*(A-a)/4)*(subs(sym(f),findsym(sym(f)),{a,b})+... + subs(sym(f),findsym(sym(f)),{a,B})+... + subs(sym(f),findsym(sym(f)),{A,b})+... + subs(sym(f),findsym(sym(f)),{A,B})); + +else %复合梯形公式 + C=4*ones(n+1,m+1); + C(1,:)=2; + C(:,1)=2; + C(n+1,:)=2; + C(:,m+1)=2; + C(1,1)=1; + C(1,m+1)=1; + C(n+1,1)=1; + C(n+1,m+1)=1; %C矩阵 +end + +F=zeros(n+1,m+1); +q=0; +for i=0:n + for j=0:m + x=a+i*(A-a)/n; + y=b+j*(B-b)/m; + F(i+1,j+1)=subs(sym(f),findsym(sym(f)),{x,y}); + q=q+F(i+1,j+1)*C(i+1,j+1); + end +end + +q=((B-b)*(A-a)/4/m/n)*q; \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntDBGauss.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntDBGauss.m" index 6cd7be099712c3d35e47c1aca0e1f3b9dc916458..134d2fd928e9778d56a85134b26c2bf6d3249a51 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntDBGauss.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntDBGauss.m" @@ -1,3 +1,23 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:2329c20c12dba2a33311abc291afdad4224fbb5ddc3d6959506c83178e98deb8 -size 797 +function q = IntDBGauss(func,a,b,c,d,m,n) +format long; +ta = (b-a)/2; +tb = (a+b)/2; +tc = (d-c)/2; +td = (c+d)/2; +f = zeros(n,m); +node_x = [0 0 0 0 0;-0.5773503 0.5773503 0 0 0;-0.7745967 0 0.7745967 0 0; + -0.8611363 -0.3398810 0.3398810 0.8611363 0; + -0.9061793 -0.5384693 0 0.5384693 0.9061793]; %高斯积分点坐标矩阵 +node_A = [2 0 0 0 0;1 1 0 0 0;0.5555556 0.8888889 0.5555556 0 0; + 0.3478548 0.6521453 0.6521453 0.3478548 0; + 0.2369269 0.4786287 0.5688889 0.4786287 0.2369269]; + %高斯积分系数矩阵 +for i=1:m + for j=1:n + f(j,i) = subs(sym(func),findsym(sym(func)),[ta*node_x(m,i)+tb tc*node_x(n,i)+td]); + end +end +Am = transpose(node_A(m,1:m)); +An = node_A(n,1:n); +q =ta*tc* An*f*Am; +format short; diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGauss.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGauss.m" index de031275b256371787fd182d175fee127525437a..ad0dd75da313c9b02df7077f8ac6d077fe2a2181 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGauss.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGauss.m" @@ -1,3 +1,41 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:0f8d62b90e3601b672fa2924d19beb8254bf18a6a43321ca38e6dccb7f542860 -size 1386 +function I = IntGauss(f,a,b,n,AK,XK) +if(n<5 && nargin == 4) + AK = 0; + XK = 0; +else + XK1=((b-a)/2)*XK+((a+b)/2); + I=((b-a)/2)*sum(AK.*subs(sym(f),findsym(f),XK1)); +end + +ta = (b-a)/2; +tb = (a+b)/2; +switch n + case 0, + I=2*ta*subs(sym(f),findsym(sym(f)),tb); + + case 1, + I=ta*(subs(sym(f),findsym(sym(f)),ta*0.5773503+tb)+... + subs(sym(f),findsym(sym(f)),-ta*0.5773503+tb)); + + case 2, + I=ta*(0.55555556*subs(sym(f),findsym(sym(f)),ta*0.7745967+tb)+... + 0.55555556*subs(sym(f),findsym(sym(f)),-ta*0.7745967+tb)+... + 0.88888889*subs(sym(f),findsym(sym(f)),tb)); + + case 3, + I=ta*(0.3478548*subs(sym(f),findsym(sym(f)),ta*0.8611363+tb)+... + 0.3478548*subs(sym(f),findsym(sym(f)),-ta*0.8611363+tb)+... + 0.6521452*subs(sym(f),findsym(sym(f)),ta*0.3398810+tb)... + +0.6521452*subs(sym(f),findsym(sym(f)),-ta*0.3398810+tb)); + + + case 4, + I=ta*(0.2369269*subs(sym(f),findsym(sym(f)),ta*0.9061793+tb)+... + 0.2369269*subs(sym(f),findsym(sym(f)),-ta*0.9061793+tb)+... + 0.4786287*subs(sym(f),findsym(sym(f)),ta*0.5384693+tb)... + +0.4786287*subs(sym(f),findsym(sym(f)),-ta*0.5384693+tb)+... + 0.5688889*subs(sym(f),findsym(sym(f)),tb)); +end + + + \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGaussHermite.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGaussHermite.m" index be1ece833b62ba7f3d894634d7d3d61d6e963ff8..f366add9e1a6c36398c9ea7f1b0f0a822934c795 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGaussHermite.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGaussHermite.m" @@ -1,3 +1,31 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:d54acb989c2d14ee0e014b08c55f2a1f823255e7e46d3e7fd8a4a31e1aaf654c -size 1079 +function I = IntGaussHermite(f,n,AK,XK) +if(n<6 && nargin == 2) + AK = 0; + XK = 0; +else + I=sum(AK.*subs(sym(f),findsym(sym(f)),XK)); +end + +switch n + case 2, + I=0.886227*(subs(sym(f),findsym(sym(f)),-0.707107)+... + subs(sym(f),findsym(sym(f)),0.707107)); + + case 3, + I=1.181636*subs(sym(f),findsym(sym(f)),0)+... + 0.295409*(subs(sym(f),findsym(sym(f)),1.224745)+... + subs(sym(f),findsym(sym(f)),-1.224745)); + + case 4, + I=0.544444*(subs(sym(f),findsym(sym(f)),0.524648)+... + subs(sym(f),findsym(sym(f)),-0.524648))+... + 0.100000*(subs(sym(f),findsym(sym(f)),1.650680)+... + subs(sym(f),findsym(sym(f)),-1.650680)); + + case 5, + I=0.945309*subs(sym(f),findsym(sym(f)),0)+... + 0.393619*(subs(sym(f),findsym(sym(f)),0.958572)+... + subs(sym(f),findsym(sym(f)),-0.958572))+... + 0.199532*(subs(sym(f),findsym(sym(f)),2.020183)+... + subs(sym(f),findsym(sym(f)),-2.020183)); +end \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGaussLada.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGaussLada.m" index 5f2399907619bc8c2fbbacb3dc3b0d5f3f36ed0b..070c59cb74148c3d9c5b15178c9af400dcc70fa6 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGaussLada.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGaussLada.m" @@ -1,3 +1,35 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:61332ada613e1c995585aa048e7c0f8eb4a59cbe3ea129d3ec57238a3297aef9 -size 1338 +function I = IntGaussLada(f,a,b,n,AK,XK) +if(n<6 && nargin == 4) + AK = 0; + XK = 0; +else + XK1=((b-a)/2)*XK+((a+b)/2); + I=((b-a)/2)*((2/n/n)*subs(sym(f),findsym(sym(f)),a)+... + sum(AK.*subs(sym(f),findsym(sym(f)),XK1))); +end + +ta = (b-a)/2; +tb = (a+b)/2; +switch n + case 2, + I=ta*0.5*subs(sym(f),findsym(sym(f)),ta*(-1)+tb)+... + 1.5*ta*subs(sym(f),findsym(sym(f)),ta*(1/3)+tb); + + case 3, + I=ta*((2/9)*subs(sym(f),findsym(sym(f)),ta*(-1)+tb)+... + 0.752806*subs(sym(f),findsym(sym(f)),ta*(-0.289898)+tb)+... + 1.024972*subs(sym(f),findsym(sym(f)),ta*0.689898+tb)); + + case 4, + I=ta*(0.125*subs(sym(f),findsym(sym(f)),ta*(-1)+tb)+... + 0.657689*subs(sym(f),findsym(sym(f)),-ta*0.575319+tb)+... + 0.776387*subs(sym(f),findsym(sym(f)),ta*0.181066+tb)+... + 0.440925*subs(sym(f),findsym(sym(f)),ta*0.822824+tb)); + + case 5, + I=ta*(0.08*subs(sym(f),findsym(sym(f)),ta*(-1)+tb)+... + 0.446207*subs(sym(f),findsym(sym(f)),-ta*0.720480+tb)+... + 0.623653*subs(sym(f),findsym(sym(f)),-ta*0.167181+tb)+... + 0.562712*subs(sym(f),findsym(sym(f)),ta*0.446314+tb)+... + 0.287427*subs(sym(f),findsym(sym(f)),ta*0.885792+tb)); +end \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGaussLager.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGaussLager.m" index 3a9cf39db98df3615834687e16b8de2390640649..05915cb49cfe60883bcf23f9b012094a952cedf3 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGaussLager.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGaussLager.m" @@ -1,3 +1,31 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:0e2ffc28cb4e47e6a14e04525ab33bf2e21b3f69bb49fe013263dc7fc86c47e2 -size 1141 +function I = IntGaussLager(f,n,AK,XK) +if(n<6 && nargin == 2) + AK = 0; + XK = 0; +else + I=sum(AK.*subs(sym(f),findsym(sym(f)),XK)); +end + +switch n + case 2, + I=0.853553*subs(sym(f),findsym(sym(f)),-0.585786)+... + 0.146447*subs(sym(f),findsym(sym(f)),3.414214); + + case 3, + I=0.711093*subs(sym(f),findsym(sym(f)),0.415575)+... + 0.278518*subs(sym(f),findsym(sym(f)),2.294280)+... + 0.0103893*subs(sym(f),findsym(sym(f)),6.289945); + + case 4, + I=0.603154*subs(sym(f),findsym(sym(f)),0.322548)+... + 0.357419*subs(sym(f),findsym(sym(f)),1.745761)+... + 0.0388879*subs(sym(f),findsym(sym(f)),4.536620)+... + 0.000539295*subs(sym(f),findsym(sym(f)),9.395071); + + case 5, + I=0.521756*subs(sym(f),findsym(sym(f)),0.263560)+... + 0.398667*subs(sym(f),findsym(sym(f)),1.413403)+... + 0.0759424*subs(sym(f),findsym(sym(f)),3.596426)+... + 0.00361176*subs(sym(f),findsym(sym(f)),7.085810)+... + 0.0000233700*subs(sym(f),findsym(sym(f)),12.640801); +end \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGaussLobato.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGaussLobato.m" index 511a1888d191424dfeac918cc2a25aa97392ec9e..8fcdfeb31bd38091595dab5bf579babab16d7d6b 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGaussLobato.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntGaussLobato.m" @@ -1,3 +1,38 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:123c955d0949a96767b7960a7d0fc728412c886cc011eefd643425e912b50309 -size 1483 +function I = IntGaussLobato(f,a,b,n,AK,XK) +if(n<7 && nargin == 4) + AK = 0; + XK = 0; +else + XK1=((b-a)/2)*XK+((a+b)/2); + I=((b-a)/2)*((2/n/(n-1))*(subs(sym(f),findsym(sym(f)),a)+... + subs(sym(f),findsym(sym(f)),b))+sum(AK.*subs(sym(f),findsym(sym(f)),XK1))); +end + +ta = (b-a)/2; +tb = (a+b)/2; +switch n + case 3, + I=ta*((1/3)*(subs(sym(f),findsym(sym(f)),a)+... + subs(sym(f),findsym(sym(f)),b))+1.333333*subs(sym(f),findsym(sym(f)),tb)); + + case 4, + I=ta*((1/6)*(subs(sym(f),findsym(sym(f)),a)+... + subs(sym(f),findsym(sym(f)),b))+0.833333*... + (subs(sym(f),findsym(sym(f)),ta*0.447214+tb)+... + subs(sym(f),findsym(sym(f)),-ta*0.447214+tb))); + + case 5, + I=ta*((1/10)*(subs(sym(f),findsym(sym(f)),a)+... + subs(sym(f),findsym(sym(f)),b))+0.544444*... + (subs(sym(f),findsym(sym(f)),ta*0.654654+tb)+... + subs(sym(f),findsym(sym(f)),-ta*0.654654+tb))+... + 0.711111*subs(sym(f),findsym(sym(f)),tb)); + + case 6, + I=ta*((1/15)*(subs(sym(f),findsym(sym(f)),a)+... + subs(sym(f),findsym(sym(f)),b))+0.554858*... + (subs(sym(f),findsym(sym(f)),ta*0.285232+tb)+... + subs(sym(f),findsym(sym(f)),-ta*0.285232+tb))+... + 0.378475*(subs(sym(f),findsym(sym(f)),ta*0.765055+tb)+... + subs(sym(f),findsym(sym(f)),-ta*0.765055+tb))); +end \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntPWC.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntPWC.m" index b4db20ef5d546b6e93584f3cc28f8ca42df3d05d..bbd82ae175c9383adc1224bd9d376a68d20428fd 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntPWC.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntPWC.m" @@ -1,3 +1,22 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:a2faa03632a4b6f259422b1f061f055d1289e1c3c5e9ba6344deb5417bbcd623 -size 680 +function q = IntPWC(X,Y,n) +format long; +h = zeros(n-1,1); +lamda = zeros(n,1); +L = zeros(n-2,1); +R = zeros(n-2,1); +Dlta = zeros(n-2,1); +h(1) = X(2)-X(1); +for j=1:n-2 %计算每个子区间的积分参数 + h(j+1) = X(j+2)-X(j+1); + lamda(j) = h(j)/h(j+1); + Dlta(j) = h(j+1)/h(j); + L(j) = (Dlta(j)*Dlta(j))*Y(j)/(1+Dlta(j))-Dlta(j)*Y(j+1)+... + +Dlta(j)*Y(j+2)/(1+Dlta(j)); + R(j) = (lamda(j)*lamda(j))*Y(j+2)/(1+lamda(j))-lamda(j)*Y(j+1)+... + +lamda(j)*Y(j)/(1+lamda(j)); +end +q = h(1)*(3*Y(1)+3*Y(2)-R(1))/6+h(n-1)*(3*Y(n-1)+3*Y(n)-L(n-2))/6; +for k=2:n-2 + q = q + h(k)*(3*Y(k)+3*Y(k+1)-0.5*R(k)-0.5*L(k-1))/6; +end +format short; diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntQBXF1.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntQBXF1.m" index 638cc66b8f0bfeb3e0415598d22c4b9e577697d4..f338a148027f82f275148ec01dfc724309289c39 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntQBXF1.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntQBXF1.m" @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:546ecc80282dd1ae498c8f0c7585d7fdcc2c185f2bf5b5fcb4839c3fb6823245 -size 253 +function q = IntQBXF1(func,n) +format long; +pi = 3.1415926535; +q = 0; +A = zeros(n,1); +x = zeros(n,1); +for i=1:n + A(i) = pi/n; + x(i) = cos(pi*(2*i-1)/2/n); + y(i) = subs(sym(func), findsym(sym(func)), x(i)); + q = q + A(i)*y(i); +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntQBXF2.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntQBXF2.m" index 224befd2665d12004f8d7130f1c74b987f145f2b..bf86695747d347d9a1c71b56ba91033d91d3c46e 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntQBXF2.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntQBXF2.m" @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:8f17044d192f2e943226a35ecf08eb9d79620737ab6119a125576c1f3f5917ef -size 289 +function q = IntQBXF2(func,n) +format long; +pi = 3.1415926535; +q = 0; +A = zeros(n,1); +x = zeros(n,1); +for i=1:n + A(i) = sin((i*pi)/(n+1))*sin((i*pi)/(n+1))*pi/(n+1); + x(i) = cos(pi*i/(n+1)); + y(i) = subs(sym(func), findsym(sym(func)), x(i)); + q = q + A(i)*y(i); +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntSample.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntSample.m" index e19584ef3dd1c622626f017b1e5ce4f5f8b034c2..5b0a5c55995f2818847c328d1785838e9fa4a08a 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntSample.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntSample.m" @@ -1,3 +1,37 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:9e8a9662f0194217accfc678939674bde5209a016ce753b4f23e581f5a9a89d3 -size 992 +function q = IntSample(func,a,b,n) +format long; +node_num = n + 3; %加上延拓的2个节点共n+3个节点 +h = (b-a)/n; +for i=1:node_num + y(i) = subs(sym(func), findsym(sym(func)), a+i*h-2*h); +end + +y_1 = (-3*y(1)+4*y(2)-y(3))/(2*h); +y_N = (3*y(node_num)-4*y(node_num-1)+3*y(node_num-2))/(2*h); +c = SubBSample(h,node_num-1,y,y_1,y_N); %用样条逼近法求出样条系数 +q = h*(c(1)+c(node_num+2))/24+h*(c(2)+c(node_num+1))/2+23*h*(c(3)+c(node_num))/24;; +for j=4:node_num-1 + q = q+h*c(j); +end +format short; + +function c = SubBSample(h,n,y,y_1,y_N) +f0 = 0.0; +c = zeros(n+3,1); +b = zeros(n+1,1); + + +A = diag(4*ones(n+1,1)); +I = eye(n+1,n+1); +AL = [I(2:n+1,:);zeros(1,n+1)]; +AU = [zeros(1,n+1);I(1:n,:)]; +A = A+AL+AU; %形成系数矩阵 +for i=2:n + b(i,1) = 6*y(i); +end +b(1) = 6*y(1)+2*h*y_1; +b(n+1) = 6*y(n+1)-2*h*y_N; +d = followup(A,b); %用追赶法求出系数 +c(2:n+2) = d; +c(1) = c(2) - 2*h*y_1; %c(-1) +c(n+3) = c(3)+2*h*y_N; %c(n+1) diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntSimpson.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntSimpson.m" index 23e5cfcaca1daaf9478f4357e75e69631d753bdb..6daf36562526a59d66be067f68b535a48629af7e 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntSimpson.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/IntSimpson.m" @@ -1,3 +1,46 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:839267cede9c77280dafb9bc3be63656861ada34460acb9d1238680179d3b79d -size 1262 +function [I,step] = IntSimpson(f,a,b,type,eps) +%type = 1 辛普森公式 +%type = 2 辛普森3/8公式 +%type = 3 复合辛普森公式 + +if(type==3 && nargin==4) + eps=1.0e-4; %缺省精度为0.0001 +end + +I=0; +switch type + case 1, + I=((b-a)/6)*(subs(sym(f),findsym(sym(f)),a)+... + 4*subs(sym(f),findsym(sym(f)),(a+b)/2)+... + subs(sym(f),findsym(sym(f)),b)); + step=1; + + case 2, + I=((b-a)/8)*(subs(sym(f),findsym(sym(f)),a)+... + 3*subs(sym(f),findsym(sym(f)),(2*a+b)/3)+ ... + 3*subs(sym(f),findsym(sym(f)),(a+2*b)/3)+subs(sym(f),findsym(sym(f)),b)); + step=1; + + case 3, + n=2; + h=(b-a)/2; + I1=0; + I2=(subs(sym(f),findsym(sym(f)),a)+subs(sym(f),findsym(sym(f)),b))/h; + while abs(I2-I1)>eps + n=n+1; + h=(b-a)/n; + I1=I2; + I2=0; + for i=0:n-1 + x=a+h*i; + x1=x+h; + I2=I2+(h/6)*(subs(sym(f),findsym(sym(f)),x)+... + 4*subs(sym(f),findsym(sym(f)),(x+x1)/2)+... + subs(sym(f),findsym(sym(f)),x1)); + end + end + I=I2; + step=n; +end + + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/NewtonCotes.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/NewtonCotes.m" index ae732a91b033420123b4cb2fdeab3f4030cc8792..455bb010cf578655f866beeb85f99b171c7a735d 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/NewtonCotes.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/NewtonCotes.m" @@ -1,3 +1,28 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:d6ef2bee6712f692c0a0202d465ca2327f17ab912d3d865cf90aa868c95606f7 -size 1193 +function I = NewtonCotes(f,a,b,type) +%type = 1 科茨公式 +%type = 2 牛顿-科茨六点公式 +%type = 3 牛顿-科茨七点公式 + +I=0; +switch type + case 1, + I=((b-a)/90)*(7*subs(sym(f),findsym(sym(f)),a)+... + 32*subs(sym(f),findsym(sym(f)),(3*a+b)/4)+... + 12*subs(sym(f),findsym(sym(f)),(a+b)/2)+... + 32*subs(sym(f),findsym(sym(f)),(a+3*b)/4)+7*subs(sym(f),findsym(sym(f)),b)); + + case 2, + I=((b-a)/288)*(19*subs(sym(f),findsym(sym(f)),a)+... + 75*subs(sym(f),findsym(sym(f)),(4*a+b)/5)+... + 50*subs(sym(f),findsym(sym(f)),(3*a+2*b)/5)+... + 50*subs(sym(f),findsym(sym(f)),(2*a+3*b)/5)+... + 75*subs(sym(f),findsym(sym(f)),(a+4*b)/5)+19*subs(sym(f),findsym(sym(f)),b)); + + case 3, + I=((b-a)/840)*(41*subs(sym(f),findsym(sym(f)),a)+... + 216*subs(sym(f),findsym(sym(f)),(5*a+b)/6)+... + 27*subs(sym(f),findsym(sym(f)),(2*a+b)/3)+... + 272*subs(sym(f),findsym(sym(f)),(a+b)/2)+... + 27*subs(sym(f),findsym(sym(f)),(a+2*b)/3)+... + 216*subs(sym(f),findsym(sym(f)),(a+5*b)/6)+41*subs(sym(f),findsym(sym(f)),b)); +end \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/Roberg.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/Roberg.m" index c37dbf7b5e83881f86a82ead88967fd60b5f56ab..9c5183767036026afa9fb2bb02f65c2c56b46189 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/Roberg.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/Roberg.m" @@ -1,3 +1,28 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f54c6c27d78a677b4779ea8b929b48fc722b3bad532a52403f9482b541a1ee0a -size 524 +function [I,step]=Roberg(f,a,b,eps) +if(nargin==3) + eps=1.0e-4; +end; +M=1; +tol=10; +k=0; +T=zeros(1,1); +h=b-a; +T(1,1)=(h/2)*(subs(sym(f),findsym(sym(f)),a)+subs(sym(f),findsym(sym(f)),b)); + +while tol>eps + k=k+1; + h=h/2; + Q=0; + for i=1:M + x=a+h*(2*i-1); + Q=Q+subs(sym(f),findsym(sym(f)),x); + end + T(k+1,1)=T(k,1)/2+h*Q; + M=2*M; + for j=1:k + T(k+1,j+1)=T(k+1,j)+(T(k+1,j)-T(k,j))/(4^j-1); + end + tol=abs(T(k+1,j+1)-T(k,j)); +end +I=T(k+1,k+1); +step=k; diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/SmartSimpson.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/SmartSimpson.m" index f75dce8d3724e328e95841d3bf9e9a91efccb9a7..666b81a32619cbc267ffe770165351e83deffe24 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/SmartSimpson.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/SmartSimpson.m" @@ -1,3 +1,19 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:b1ff3cc4f3bebede6e45dd2ca1877e6e10c424b9a0166d8b5fb6d5003669c012 -size 393 +function I=SmartSimpson(f,a,b,eps) +if(nargin==3) + eps=1.0e-4; +end; +e=5*eps; +I=SubSmartSimpson(f,a,b,e); + +function q=SubSmartSimpson(f,a,b,eps) +QA=IntSimpson(f,a,b,1,eps); +QLeft=IntSimpson(f,a,(a+b)/2,1,eps); +QRight=IntSimpson(f,(a+b)/2,b,1,eps); + +if(abs(QLeft+QRight-QA)<=eps) + q=QA; +else + q=SubSmartSimpson(f,a,(a+b)/2,eps)+SubSmartSimpson(f,(a+b)/2,b,eps); +end + + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/followup.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/followup.m" index 5a8b97805cfc3dac8c9adfe6707d180f9baf57e7..955cb44527eb39df808c1cde6c744c64d41aea68 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/followup.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2548\347\253\240 \346\225\260\345\200\274\347\247\257\345\210\206/followup.m" @@ -1,3 +1,32 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5eb568e1ef362f0a20864aa292645b4b4be6bfde31eca3fe78937c61b33fe2f6 -size 765 +function x=followup(A,b) +%采用追赶法求线性方程组Ax=b的解 +%线性方程组的系数矩阵:A +%线性方程组中的常数向量:b +%线性方程组的解:x + +n = rank(A); +for(i=1:n) + if(A(i,i)==0) + disp('Error: 对角有元素为0!'); + return; + end +end; +d = ones(n,1); +a = ones(n-1,1); +c = ones(n-1); +for(i=1:n-1) + a(i,1)=A(i+1,i); + c(i,1)=A(i,i+1); + d(i,1)=A(i,i); +end +d(n,1) = A(n,n); +%求解Ly=b的解y,解保存在b中, +for(i=2:n) + d(i,1)=d(i,1) - (a(i-1,1)/d(i-1,1))*c(i-1,1); + b(i,1)=b(i,1) - (a(i-1,1)/d(i-1,1))*b(i-1,1); +end +%求解Ux=y的解x, +x(n,1) = b(n,1)/d(n,1); +for(i=(n-1):-1:1) + x(i,1) = (b(i,1)-c(i,1)*x(i+1,1))/d(i,1); +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/AtkenStablePoint.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/AtkenStablePoint.m" index 7f1924305a311e9bd6682d52deb4caf6ee392ace..a0bf8b9b866f64577ca7ffd4dc45dc05ae38e195 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/AtkenStablePoint.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/AtkenStablePoint.m" @@ -1,3 +1,24 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:aa772065eb6926397cfd6b8c0f24324374d34ed195aac9c3da748cf78432c79f -size 387 +function [root,n]=AtkenStablePoint(f,x0,eps) +if(nargin==2) + eps=1.0e-4; +end + +tol=1; +root=x0; +x(1:2)=0; +n=0; +m=0; +a2=x0; +while(tol>eps) + n=n+1; + a1=a2; + r1=root; + root=subs(sym(f),findsym(sym(f)),r1)+r1; + x(n)=root; + if(n>2) + m=m+1; + a2=x(m)-(x(m+1)-x(m))^2/(x(m+2)-2*x(m+1)+x(m)); + tol=abs(a2-a1); + end +end +root=a2; \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/BenvliMAX.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/BenvliMAX.m" index 4193fe481026a42514582eb81be75ae69dd06205..695f176d6c489e57188cd3861f80205959fb68af 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/BenvliMAX.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/BenvliMAX.m" @@ -1,3 +1,18 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:ce3eb88b0b64157b161abb9dec70bb895adacccdc33c399293ba54be11aaf095 -size 299 +function xm = BenvliMAX(a,eps) +format long; +if(nargin==1) + eps=1.0e-4; +end +n = length(a); +y = zeros(n+1,1); +y(n) =1; +tol = 1; +xm = inf; +while tol>eps + xm1 = xm; + y(n+1) =dot(-a,y(1:n)); + y(1:n) = y(2:n+1); + xm = y(n)/y(n-1); + tol = abs(xm-xm1); +end +format short; diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/BenvliMIN.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/BenvliMIN.m" index 4677114d45f25b32606bd72a660a8b2a32f60c52..fd7faf8613406b7c1ea46df4854a21a78418ed89 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/BenvliMIN.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/BenvliMIN.m" @@ -1,3 +1,23 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:a0f864705ccd825ed581dad6a2646e4d934e3853a57643cddc873305668ea6d6 -size 389 +function xm = BenvliMIN(a,eps) +format long; +if(nargin==1) + eps=1.0e-4; +end +n = length(a); +y = zeros(n+1,1); +y(n) =1; +am(1:n) = a(n:-1:1); +c = am(n); +am(2:n) = am(1:n-1); +am(1) = 1; +am(1:n) = -am(1:n)/c; +tol = 1; +xm = inf; +while tol>eps + xm1 = xm; + y(n+1) =dot(am,y(1:n)); + y(1:n) = y(2:n+1); + xm =y(n-1)/y(n); + tol = abs(xm-xm1); +end +format short; diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/DblSecant.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/DblSecant.m" index f7125d0dff4f386acd0d85f289fa0808f3b9ee42..0265a501bded143c23b413d42413e6255a71aa52 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/DblSecant.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/DblSecant.m" @@ -1,3 +1,39 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:a35b8deb0fc8146d20fe978e703d7936ab7908fda824b3dad241d7cc5f82c906 -size 767 +function root=DblSecant(f,a,b,eps) +if(nargin==3) + eps=1.0e-4; +end + +f1=subs(sym(f),findsym(sym(f)),a); +f2=subs(sym(f),findsym(sym(f)),b); +if(f1==0) + root=a; +end +if(f2==0) + root=b; +end + +if(f1*f2>0) + disp('两端点函数值乘积大于0!'); + return; +else + tol=1; + root=b; + r2=a; %迭代初始值 + while(tol>eps) + n = n+1; + r1 = r2; + r2 = root; + f1=subs(sym(f),findsym(sym(f)),r1); + f2=subs(sym(f),findsym(sym(f)),r2); + if(f1==0) + root=r1; + else + if(f2==0) + root = r2; + else + root=r2-(r2-r1)*f2/(f2-f1); + end + end + tol=abs(root-r2); + end +end \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/HalfInterval.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/HalfInterval.m" index 61e2ac1c33ce7afa63fb9e7e67324e431ee9c9ee..af9270013c337d358cc46f64116cc831f359639c 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/HalfInterval.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/HalfInterval.m" @@ -1,3 +1,42 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:cfba27c9f5784a8b791478f38692037cdd1173631c846e2eabb7c9c88fee9bbb -size 744 +function root=HalfInterval(f,a,b,eps) +if(nargin==3) + eps=1.0e-4; +end + +f1=subs(sym(f),findsym(sym(f)),a); +f2=subs(sym(f),findsym(sym(f)),b); +if(f1==0) + root=a; +end +if(f2==0) + root=b; +end + +if(f1*f2>0) + disp('两端点函数值乘积大于0!'); + return; +else + root=FindRoots(f,a,b,eps); +end + + +function r=FindRoots(f,a,b,eps) +f_1=subs(sym(f),findsym(sym(f)),a); +f_2=subs(sym(f),findsym(sym(f)),b); +mf=subs(sym(f),findsym(sym(f)),(a+b)/2); +if(f_1*mf>0) + t=(a+b)/2; + r=FindRoots(f,t,b,eps); +else + if(f_1*mf==0) + r=(a+b)/2; + else + if(abs(b-a)<=eps) + r=(b+3*a)/4; + else + s=(a+b)/2; + r=FindRoots(f,a,s,eps); + end + end +end + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/ModifSecant.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/ModifSecant.m" index 389bd76d2a419f8e85db379d83df7ba6b44dae07..e4faef083b82717e8e58fa498e36ee1801a7a5bc 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/ModifSecant.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/ModifSecant.m" @@ -1,3 +1,40 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:d0a648c89c2b1643eaf1dbd061d5eaf47f7f6f723cf5829f4681aa0e0749f593 -size 886 +function root=ModifSecant(f,a,b,eps) +format long; +if(nargin==3) + eps=1.0e-4; +end + +f1=subs(sym(f),findsym(sym(f)),a); +f2=subs(sym(f),findsym(sym(f)),b); +if(f1==0) + root=a; +end +if(f2==0) + root=b; +end + +if(f1*f2>0) + disp('两端点函数值乘积大于0!'); + return; +else + tol = 1; + r1 = a; %迭代初始值 + r2 = b; + fv = subs(sym(f),findsym(sym(f)),a); + while(tol>eps) + f2=subs(sym(f),findsym(sym(f)),r2); + root=r2-(r2-r1)*f2/(f2-fv); + fr=subs(sym(f),findsym(sym(f)),root); + if(f2*fr<0) + tol=abs(root-r2); + r1 = r2; + r2 = root; + fv = subs(sym(f),findsym(sym(f)),r1); + else + tol=abs(root-r2); + r2 = root; + fv = 0.5*subs(sym(f),findsym(sym(f)),r1); + end + end +end +format short; diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Montecarlo.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Montecarlo.m" index c24a7f39ff89b0dd4402d4903fef7e98d35aaff3..88b4aec979f3b2ef48980b69fc5c0395c2b4bced 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Montecarlo.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Montecarlo.m" @@ -1,3 +1,19 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:a499992016f27e39d8f160a39a8bdfa44bcbc08d9c7d24c0c5b17676e7c08190 -size 414 +function root = Montecarlo(f,B,x0,eps) +format long; +if(nargin==3) + eps=1.0e-4; +end +Fx = subs(sym(f),findsym(sym(f)),x0); + +while abs(Fx)>eps + Fx = subs(sym(f),findsym(sym(f)),x0); + Fx1 = abs(Fx) + 10; + while (abs(Fx1) >= abs(Fx)) + r = 2*B*rand()-B; + x1 = x0 + r; + Fx1 = subs(sym(f),findsym(sym(f)),x1); + end + x0 = x1; +end +root = x1; +format short; \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/MultiRoot.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/MultiRoot.m" index 3c19e194dabb7922d22a2506a9823f463d514d19..219d6ef4067d6dde3738ce0b2a8e259af97de18d 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/MultiRoot.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/MultiRoot.m" @@ -1,3 +1,39 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:bbb4804fa80df0d1838a2881e9b9b1c0f94d1d6bf54de9a0491f67caab510e80 -size 845 +function root=MultiRoot(f,a,b,eps) +if(nargin==3) + eps=1.0e-4; +end + +f1=subs(sym(f),findsym(sym(f)),a); +f2=subs(sym(f),findsym(sym(f)),b); +if(f1==0) + root=a; +end +if(f2==0) + root=b; +end + +if(f1*f2>0) + disp('两端点函数值乘积大于0!'); + return; +else + tol=1; + fun=diff(sym(f)); + ddf=diff(sym(fun)); + fa=subs(sym(f),findsym(sym(f)),a); + fb=subs(sym(f),findsym(sym(f)),b); + dfa=subs(sym(fun),findsym(sym(fun)),a); + dfb=subs(sym(fun),findsym(sym(fun)),b); + if(dfa>dfb) + root=a; + else + root=b; + end + while(tol>eps) + r1=root; + fx=subs(sym(f),findsym(sym(f)),r1); + dfx=subs(sym(fun),findsym(sym(fun)),r1); + ddfx=subs(sym(ddf),findsym(sym(ddf)),r1); + root=r1-fx*dfx/(dfx*dfx-fx*ddfx); + tol=abs(root-r1); + end +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/NewtonDown.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/NewtonDown.m" index 3a2161782186ff7946069262ec6dc6098206517f..fd6deddaad66d1c0c5469fe769a17e913eafdd5e 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/NewtonDown.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/NewtonDown.m" @@ -1,3 +1,44 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:8a4a0f0c358683de44096962310f204fda594e625e1275ffb672dba083647ca9 -size 956 +function root=NewtonDown(f,a,b,eps) +if(nargin==3) + eps=1.0e-4; +end + +f1=subs(sym(f),findsym(sym(f)),a); +f2=subs(sym(f),findsym(sym(f)),b); +if(f1==0) + root=a; +end +if(f2==0) + root=b; +end + +if(f1*f2>0) + disp('两端点函数值乘积大于0!'); + return; +else + tol=1; + fun=diff(sym(f)); + fa=subs(sym(f),findsym(sym(f)),a); + fb=subs(sym(f),findsym(sym(f)),b); + dfa=subs(sym(fun),findsym(sym(fun)),a); + dfb=subs(sym(fun),findsym(sym(fun)),b); + if(dfa>dfb) + root=a; + else + root=b; + end + while(tol>eps) + r1=root; + fx=subs(sym(f),findsym(sym(f)),r1); + dfx=subs(sym(fun),findsym(sym(fun)),r1); + toldf=1; + alpha=2; + while toldf>0 + alpha=alpha/2; + root=r1-alpha*fx/dfx; + fv=subs(sym(f),findsym(sym(f)),root); + toldf=abs(fv)-abs(fx); + end + tol=abs(root-r1); + end +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/NewtonRoot.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/NewtonRoot.m" index 0bf9db7ebb8152da16aebf013e4d0f88c0660529..d6bf97b57e0b17f15859f310701974196cb79b8f 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/NewtonRoot.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/NewtonRoot.m" @@ -1,3 +1,33 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:8bddf1e3c2448e952cd644aa2ab4035821ee98ad75ae08f04f4ebf1d37576e09 -size 810 +function root=NewtonRoot(f,a,b,eps) +if(nargin==3) + eps=1.0e-4; +end + +f1=subs(sym(f),findsym(sym(f)),a); +f2=subs(sym(f),findsym(sym(f)),b); +if(f1==0) + root=a; +end +if(f2==0) + root=b; +end + +tol=1; +fun=diff(sym(f)); %求导数 +fa=subs(sym(f),findsym(sym(f)),a); +fb=subs(sym(f),findsym(sym(f)),b); +dfa=subs(sym(fun),findsym(sym(fun)),a); +dfb=subs(sym(fun),findsym(sym(fun)),b); +if(dfa>dfb) %初始值取两端点导数较大者 + root=a-fa/dfa; +else + root=b-fb/dfb; +end +while(tol>eps) + r1=root; + fx=subs(sym(f),findsym(sym(f)),r1); + dfx=subs(sym(fun),findsym(sym(fun)),r1); %求该点的导数值 + root=r1-fx/dfx; %迭代的核心公式 + tol=abs(root-r1); +end + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/PYZ.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/PYZ.m" index b3b062c3358be87e2f0cb3619ac2e4e319fc5957..3fbf034d53104c4e5e78b33de3ca77b175c7a8c4 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/PYZ.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/PYZ.m" @@ -1,3 +1,35 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:857117db7e731335144aa926776a22be71521f8255b0cdbcd7d82b6d7f710bcd -size 629 +function [p,q]=PYZ(a,M,p0,q0) +format long; +n = length(a); +b = zeros(n,1); +c = zeros(n-1,1); +p = p0; +q = q0; + +for k=1:M + b(1) = 0; + b(2) = 1; + for i=3:n + b(i) = a(i-2) - p*b(i-1)-q*b(i-2); + end + r1 = a(n-1) - p*b(n)-q*b(n-1); + r2 = a(n) - q*b(n); + + c(1) = 0; + c(2) = 1; + for i=3:n-1 + c(i) = b(i) - p*c(i-1)-q*c(i-2); + end + R11 = b(n) - p*c(n-1)-q*c(n-2); + R12 = -q*c(n-1); + + R21 = b(n-1) - p*c(n-2)-q*c(n-3); + R22 = b(n)-q*c(n-2); + + A = [R11 R21;R22 R12]; + B = [r1;r2]; + u = A\B; + p = p+u(1); + q = q+u(2); +end +format short; diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/PallSecant.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/PallSecant.m" index b31614c9a7b192216fd8723b7204f41444298995..7add7b89eb2263491ffa06e76481ea7447a92da3 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/PallSecant.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/PallSecant.m" @@ -1,3 +1,34 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:fe938d389965398556370f26a6e2a1eb537d25cad61dbf74fff12c9892062929 -size 627 +function root=PallSecant(f,a,b,eps) +format long; +if(nargin==3) + eps=1.0e-4; +end + +f1=subs(sym(f),findsym(sym(f)),a); +f2=subs(sym(f),findsym(sym(f)),b); +if(f1==0) + root=a; +end +if(f2==0) + root=b; +end + +if(f1*f2>0) + disp('两端点函数值乘积大于0!'); + return; +else + tol=1; + root=a; %迭代初始值 + c = (b-a)/(f2-f1); + while(tol>eps) + r1 = root; + fx=subs(sym(f),findsym(sym(f)),r1); + if(f1==0) + root=r1; + else + root=r1-c*fx; + end + tol=abs(root-r1); + end +end +format short; diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Parabola.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Parabola.m" index 4cec79e60b06310b69c93141befb342d08a4f954..4dbe1026a698d54715150c41531dc7eb390e1f30 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Parabola.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Parabola.m" @@ -1,3 +1,46 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:072d1cdd2c353040494b03943ae6dbe41487a2073bfcc4cc4b7f48a4bd2c188f -size 1053 +function root=Parabola(f,a,b,x,eps) +if(nargin==4) + eps=1.0e-4; +end + +f1=subs(sym(f),findsym(sym(f)),a); +f2=subs(sym(f),findsym(sym(f)),b); +if(f1==0) + root=a; +end +if(f2==0) + root=b; +end + +if(f1*f2>0) + disp('两端点函数值乘积大于0!'); + return; +else + tol=1; + fa=subs(sym(f),findsym(sym(f)),a); + fb=subs(sym(f),findsym(sym(f)),b); + fx=subs(sym(f),findsym(sym(f)),x); + d1=(fb-fa)/(b-a); + d2=(fx-fb)/(x-b); + d3=(d2-d1)/(x-a); + B=d2+d3*(x-b); + root=x-2*fx/(B+sign(B)*sqrt(B^2-4*fx*d3)); + t=zeros(3); + t(1)=a; + t(2)=b; + t(3)=x; + while(tol>eps) + t(1)=t(2); + t(2)=t(3); + t(3)=root; + f1=subs(sym(f),findsym(sym(f)),t(1)); + f2=subs(sym(f),findsym(sym(f)),t(2)); + f3=subs(sym(f),findsym(sym(f)),t(3)); + d1=(f2-f1)/(t(2)-t(1)); + d2=(f3-f2)/(t(3)-t(2)); + d3=(d2-d1)/(t(3)-t(1)); + B=d2+d3*(t(3)-t(2)); + root=t(3)-2*f3/(B+sign(B)*sqrt(B^2-4*f3*d3)); + tol=abs(root-t(3)); + end +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/QBS.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/QBS.m" index 079c7e7fced65b8da257387a2f3177ae32b52375..91bbf9ad279565d38d50e8fd0a0604e623489d12 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/QBS.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/QBS.m" @@ -1,3 +1,70 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5631ca510e7a161787e663758a7a27007da0ca871c65c99e42615d94a860a40c -size 1720 +function root=QBS(f,a,b,x,eps) +format long; +if(nargin==4) + eps=1.0e-6; +end + +fa=subs(sym(f),findsym(sym(f)),a); +fb=subs(sym(f),findsym(sym(f)),b); +fx=subs(sym(f),findsym(sym(f)),x); +if(fa==0) + root=a; + return; +end +if(fb==0) + root=b; + return; +end + +if(fx == 0) + root = x; + return; +else + tol=1; + t=zeros(3); + t(1)=a; + t(2)=x; + t(3)=b; + while(tol>eps) + f1=subs(sym(f),findsym(sym(f)),t(1)); %计算三点的函数值 + f2=subs(sym(f),findsym(sym(f)),t(2)); + f3=subs(sym(f),findsym(sym(f)),t(3)); + d1=f2-f1; + d2=f3-f2; + d3=f3-f1; + if (d1 == 0 || d2 == 0 || d3 == 0) + disp('除0错误,请重新选择三个初始点!'); + root = NaN; + return; + end + root=t(1)*f2*f3/d1/d3+t(2)*f1*f3/d1/d2+t(3)*f2*f1/d2/d3; + tol=abs(root-t(3)); + ft = subs(sym(f),findsym(sym(f)),root); + if( f2*ft < 0) + if root > t(2) + t(1)=t(2); + t(2)=root; + else + t(3) = t(2); + t(2) = root; + end + else + if f2 < 0 + if root > t(2) + t(1)=t(2); + t(2)=root; + else + t(1) = root; + end + else + if root > t(2) + t(3) = root; + else + t(3) = t(2); + t(2) = root; + end + end + end + end +end +format short; diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/QBS2.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/QBS2.m" index a18ffa79bc97a881aedf23ae5679fa7ab242d196..1b81543f133e8c653b2676bc62c10778f1d33d4f 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/QBS2.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/QBS2.m" @@ -1,3 +1,40 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:bf991c530db752e7f64e24fa59c418e647a7b5e31d6062a2f43d46e1d7f37d80 -size 917 +function root=QBS2(f,a,b,x,eps) +format long; +if(nargin==4) + eps=1.0e-6; +end + +fa=subs(sym(f),findsym(sym(f)),a); +fb=subs(sym(f),findsym(sym(f)),b); +if(fa==0) + root=a; +end +if(fb==0) + root=b; +end + +if(fa*fb>0) + disp('两端点函数值乘积大于0!'); + return; +else + tol=1; + t=zeros(3); + t(1)=a; + t(2)=b; + t(3)=x; + while(tol>eps) + f1=subs(sym(f),findsym(sym(f)),t(1)); %计算三点的函数值 + f2=subs(sym(f),findsym(sym(f)),t(2)); + tx = (t(3)+t(2))/2; + f3=subs(sym(f),findsym(sym(f)),tx); + d1=f2-f1; + d2=f3-f2; + d3=f3-f1; + root=t(1)*f2*f3/d1/d3+t(2)*f1*f3/d1/d2+tx*f2*f1/d2/d3; + tol=abs(root-tx); + t(1)=t(2); %保存三个点 + t(2)=t(3); + t(3)=root; + end +end +format short; \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Secant.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Secant.m" index c6f1177eeec3ddf61236731d568e7b459d08a1c8..5a324e9dc6c9bce53713eccb4f9a7278a5a4ea88 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Secant.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Secant.m" @@ -1,3 +1,38 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:fb9ecc7e8e2e91748587be4c99dd0fbf15444b3417e0c490c7d86408f05649b6 -size 748 +function root=Secant(f,a,b,eps) +if(nargin==3) + eps=1.0e-4; +end + +f1=subs(sym(f),findsym(sym(f)),a); +f2=subs(sym(f),findsym(sym(f)),b); +if(f1==0) + root=a; +end +if(f2==0) + root=b; +end + +if(f1*f2>0) + disp('两端点函数值乘积大于0!'); + return; +else + tol=1; + fa=subs(sym(f),findsym(sym(f)),a); + fb=subs(sym(f),findsym(sym(f)),b); + root=a-(b-a)*fa/(fb-fa); + while(tol>eps) + r1=root; + fx=subs(sym(f),findsym(sym(f)),r1); + s=fx*fa; + if(s==0) + root=r1; + else + if(s>0) + root=b-(r1-b)*fb/(fx-fb); + else + root=a-(r1-a)*fa/(fx-fa); + end + end + tol=abs(root-r1); + end +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/SimpleNewton.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/SimpleNewton.m" index b73bc8b457f4ed175a650e19223b76b8b832f048..fc3eb58e3c1ead50c36d03656c2193a82953169d 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/SimpleNewton.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/SimpleNewton.m" @@ -1,3 +1,39 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:33bf5cccf11fef77ab35c768b64ad663684b0de30fea0796470834d7c1176c29 -size 766 +function root=SimpleNewton(f,a,b,eps) +if(nargin==3) + eps=1.0e-4; +end + +f1=subs(sym(f),findsym(sym(f)),a); +f2=subs(sym(f),findsym(sym(f)),b); +if(f1==0) + root=a; +end +if(f2==0) + root=b; +end + +if(f1*f2>0) + disp('两端点函数值乘积大于0!'); + return; +else + tol=1; + fun=diff(sym(f)); + fa=subs(sym(f),findsym(sym(f)),a); + fb=subs(sym(f),findsym(sym(f)),b); + dfa=subs(sym(fun),findsym(sym(fun)),a); + dfb=subs(sym(fun),findsym(sym(fun)),b); + + if(dfa>dfb) + df0=1/dfa; + root=a-df0*fa; + else + df0=1/dfb; + root=b-df0*fb; + end + while(tol>eps) + r1=root; + fx=subs(sym(f),findsym(sym(f)),r1); + root=r1-df0*fx; + tol=abs(root-r1); + end +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/SinleSecant.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/SinleSecant.m" index badb7518ee84b863eba4008a4e7bbc7641e2009f..2a3381c3e178d60b80449ffeea42cb34bd8f7d02 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/SinleSecant.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/SinleSecant.m" @@ -1,3 +1,35 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:929dbec384e2bc7187d9ada85ef95b6f4cdbc94b6d982e7436f5b1b232eafd00 -size 711 +function root=SinleSecant(f,a,b,eps) +if(nargin==3) + eps=1.0e-4; +end + +f1=subs(sym(f),findsym(sym(f)),a); +f2=subs(sym(f),findsym(sym(f)),b); +if(f1==0) + root=a; +end +if(f2==0) + root=b; +end + +if(f1*f2>0) + disp('两端点函数值乘积大于0!'); + return; +else + tol=1; + fa=subs(sym(f),findsym(sym(f)),a); + fb=subs(sym(f),findsym(sym(f)),b); + root=b; %迭代初始值 + while(tol>eps) + n = n+1; + r1=root; + fx=subs(sym(f),findsym(sym(f)),r1); + s=fx*fa; + if(s==0) + root=r1; + else + root=r1-(r1-a)*fx/(fx-fa); %用递推公式1 + end + tol=abs(root-r1); + end +end \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/StablePoint.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/StablePoint.m" index 3b484d9df47a883eeada63d6cea96e32b9657b16..390047001fcc9b6bc4fb96550c2d687d2371fabf 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/StablePoint.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/StablePoint.m" @@ -1,3 +1,15 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:64844ac30fc54ae0cb0c5a29638d5d6084f657a4897ba26d963f7cc8d9394645 -size 222 +function [root,n]=StablePoint(f,x0,eps) +if(nargin==2) + eps=1.0e-4; +end + +tol=1; +root=x0; +n=0; +while(tol>eps) + n=n+1; + r1=root; + root=subs(sym(f),findsym(sym(f)),r1)+r1; + tol=abs(root-r1); +end + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/StevenSecant.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/StevenSecant.m" index 94d9a640b079902d3b4c09b05e93c642edf0af12..b84734ac15f6c0cdd108f12a4b08d494abdfa358 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/StevenSecant.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/StevenSecant.m" @@ -1,3 +1,32 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:a46c6c2b0df50f86133da5b08d6e38586437d66172989a0a63fe448f79bf7622 -size 664 +function root=StevenSecant(f,a,b,eps) +if(nargin==3) + eps=1.0e-4; +end + +f1=subs(sym(f),findsym(sym(f)),a); +f2=subs(sym(f),findsym(sym(f)),b); +if(f1==0) + root=a; +end +if(f2==0) + root=b; +end + +if(f1*f2>0) + disp('两端点函数值乘积大于0!'); + return; +else + tol=1; + fa=subs(sym(f),findsym(sym(f)),a); + fb=subs(sym(f),findsym(sym(f)),b); + faa=subs(sym(f),findsym(sym(f)),fa+a); + root=a-fa*fa/(faa-fa); + while(tol>eps) + r1=root; + fx=subs(sym(f),findsym(sym(f)),r1); + v=fx+r1; + fxx=subs(sym(f),findsym(sym(f)),v); + root=r1-fx*fx/(fxx-fx); + tol=abs(root-r1); + end +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/StevenStablePoint.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/StevenStablePoint.m" index 9aa85a1e57661788c7da0598c35a1c02a5cf4996..069fd6904bfa7088676ad28021f8db02082cc369 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/StevenStablePoint.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/StevenStablePoint.m" @@ -1,3 +1,16 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:50eef68d5236c043072f0f26ff3286059b29f32dcac1bc3501667324a1a09034 -size 296 +function [root,n]=StevenStablePoint(f,x0,eps) +if(nargin==2) + eps=1.0e-4; +end + +tol=1; +root=x0; +n=0; +while(tol>eps) + n=n+1; + r1=root; + y=subs(sym(f),findsym(sym(f)),r1)+r1; + z=subs(sym(f),findsym(sym(f)),y)+y; + root=r1-(y-r1)^2/(z-2*y+r1); + tol=abs(root-r1); +end \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/TwoStep.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/TwoStep.m" index c2bc87f42978650788a5e4633e60d451b39fe27a..6efa6281db77e2292120a789d88a850a38e46488 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/TwoStep.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/TwoStep.m" @@ -1,3 +1,49 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:2237b737adb7db11d64036c273e73f4c39f7e2cff50c1306ced667ecdefc0bf3 -size 1183 +function root=TwoStep(f,a,b,type,eps) +if(nargin==4) + eps=1.0e-4; +end + +f1=subs(sym(f),findsym(sym(f)),a); +f2=subs(sym(f),findsym(sym(f)),b); +if(f1==0) + root=a; +end +if(f2==0) + root=b; +end + +if(f1*f2>0) + disp('两端点函数值乘积大于0!'); + return; +else + tol=1; + fun=diff(sym(f)); + fa=subs(sym(f),findsym(sym(f)),a); + fb=subs(sym(f),findsym(sym(f)),b); + dfa=subs(sym(fun),findsym(sym(fun)),a); + dfb=subs(sym(fun),findsym(sym(fun)),b); + if(dfa>dfb) + root=a; + else + root=b; + end + while(tol>eps) + if(type==1) + r1=root; + fx1=subs(sym(f),findsym(sym(f)),r1); + dfx=subs(sym(fun),findsym(sym(fun)),r1); + r2=r1-fx1/dfx; + fx2=subs(sym(f),findsym(sym(f)),r2); + root=r2-fx2/dfx; + tol=abs(root-r1); + else + r1=root; + fx1=subs(sym(f),findsym(sym(f)),r1); + dfx=subs(sym(fun),findsym(sym(fun)),r1); + r2=r1-fx1/dfx; + fx2=subs(sym(f),findsym(sym(f)),r2); + root=r2-fx2*(r2-r1)/(2*fx2-fx1); + tol=abs(root-r1); + end + end +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Union1.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Union1.m" index c42bcece45b0be4d4138cb1d8d596054b6a5639f..e97477a6201a10e6802c896b46df085b148f8f8f 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Union1.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Union1.m" @@ -1,3 +1,33 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:da1a990e12eea70e48b4b7023279e15e16d3ffd87339054bb8c8948aa6c56d65 -size 689 +function root = Union1(f,a,b,eps) +format long; +if(nargin==3) + eps=1.0e-6; +end + +fa=subs(sym(f),findsym(sym(f)),a); +fb=subs(sym(f),findsym(sym(f)),b); +if(fa==0) + root=a; +end +if(fb==0) + root=b; +end + +tol=1; +df=diff(sym(f)); %求导数 +dfa=subs(sym(df),findsym(sym(df)),a); +x1 = a - fa/dfa; +x1_s = b - fb*(b-a)/(fb-fa); + +while tol>eps + fn=subs(sym(f),findsym(sym(f)),x1); + dfn=subs(sym(df),findsym(sym(df)),x1); + fn_s=subs(sym(f),findsym(sym(f)),x1_s); + x2 = x1 - fn/dfn; + x2_s = x1_s - (x1 - x1_s)*fn_s/(fn - fn_s); + tol = abs(x2_s - x1_s); + x1 = x2; + x1_s = x2_s; +end +root = x2_s; +format short; \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Union2.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Union2.m" index ff07f8910d307c5f2b291c855211e22315ebe77d..472ed654cd0d92ffc1dee0f665de06c9919551fa 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Union2.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/Union2.m" @@ -1,3 +1,33 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:fb7e0fb762686f1a8b1c80c23552992d9978df3bb784aa9d3980b862a36f0ef0 -size 699 +function root = Union2(f,a,b,eps) +format long; +if(nargin==3) + eps=1.0e-4; +end + +fa=subs(sym(f),findsym(sym(f)),a); +fb=subs(sym(f),findsym(sym(f)),b); +if(fa==0) + root=a; +end +if(fb==0) + root=b; +end + +tol=1; +df=diff(sym(f)); %求导数 +dfb=subs(sym(df),findsym(sym(df)),b); +x1 = a - (b-a)*fa/(fb-fa); +x1_s = b - fb/dfb; + +while tol>eps + fn = subs(sym(f),findsym(sym(f)),x1); + dfn_s = subs(sym(df),findsym(sym(df)),x1_s); + fn_s = subs(sym(f),findsym(sym(f)),x1_s); + x2 = x1 - (x1_s - x1)*fn/(fn_s - fn); + x2_s = x1_s - fn_s/dfn_s ; + tol = abs(x2_s - x1_s); + x1 = x2; + x1_s = x2_s; +end +root = x2_s; +format short; \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/YSNewton.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/YSNewton.m" index d0c6d92969b040642e7a78936bb734e4c45945c8..8bbf968e62a8b18b3c9ec886f8df27b8586758ea 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/YSNewton.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/YSNewton.m" @@ -1,3 +1,25 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:97eb3da8b5b60aa23667757fda67b32c637e801a3e0d608b21366b9e348ea291 -size 459 +function x=YSNewton(a) +format long; +n = length(a); +max_X = BenvliMAX(a); +b = zeros(n,1); +x = zeros(n,1); +syms t real; +f = power(t,n); +m = 0:n-1; +s = power(t,m); +f = f + dot(s, a(n:-1:1)); + +for k=1:n + x(k) = NewtonRoot(f,-max_X,max_X); + b = 0; + b(1) = 1; + for i=2:n-k+1 + b(i) = a(i-1) + x(k)*b(i-1); + end + m = 0:n-k; + s = power(t,m); + f = dot(s, b(n-k+1:-1:1)); + a = b(2:length(b)); +end +format short; diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/hj.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/hj.m" index 089f721b401581fe482a3314c66886739d84e1ec..51ba86820441c73ebc747777d524202804a3e4fb 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/hj.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/MATLAB\350\257\255\350\250\200\345\270\270\347\224\250\347\256\227\346\263\225\347\250\213\345\272\217\351\233\206/\347\254\2549\347\253\240 \346\226\271\347\250\213\346\261\202\346\240\271/hj.m" @@ -1,3 +1,45 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:908f92144c29e0a11dc51e8cccccc19d1d60d57ee4136fb7ecd5cb2a26014ec9 -size 979 +function root=hj(f,a,b,eps) +if(nargin==3) + eps=1.0e-4; +end + +f1=subs(sym(f),findsym(sym(f)),a); +f2=subs(sym(f),findsym(sym(f)),b); +if(f1==0) + root=a; +end +if(f2==0) + root=b; +end + +if(f1*f2>0) + disp('两端点函数值乘积大于0!'); + return; +else + t1=a+(b-a)*0.382; + t2=a+(b-a)*0.618; + f_1=subs(sym(f),findsym(sym(f)),t1); + f_2=subs(sym(f),findsym(sym(f)),t2); + tol=abs(t1-t2); + while(tol>eps) %精度控制 + if(f_1*f_2<0) + a=t1; + b=t2; + else + fa=subs(sym(f),findsym(sym(f)),a); + if(f_1*fa>0) + a=t2; + else + b=t1; + end + end + t1=a+(b-a)*0.382; + t2=a+(b-a)*0.618; + f_1=subs(sym(f),findsym(sym(f)),t1); + f_2=subs(sym(f),findsym(sym(f)),t2); + tol=abs(t2-t1); + end + root=(t1+t2)/2; %输出根 +end + + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\345\277\205\347\234\213\357\274\201\357\274\201\357\274\201\357\274\201\357\274\201\357\274\201\357\274\201.docx" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\345\277\205\347\234\213\357\274\201\357\274\201\357\274\201\357\274\201\357\274\201\357\274\201\357\274\201.docx" index 6b661447f39a315c6375029d23c0edf5dc0e5189..4d39ee364302bad77b738ff4f5e58e0c50f9c11c 100644 Binary files "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\345\277\205\347\234\213\357\274\201\357\274\201\357\274\201\357\274\201\357\274\201\357\274\201\357\274\201.docx" and "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\345\277\205\347\234\213\357\274\201\357\274\201\357\274\201\357\274\201\357\274\201\357\274\201\357\274\201.docx" differ diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM96A.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM96A.M" index f6a5c0ccafed2de99375abf849e75b223701861c..db2909e2d15daf507f31049420539bfdfd8fdd86 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM96A.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM96A.M" @@ -1,3 +1,54 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:7df12d337a27d498d95497de8238f2800d29eed2aec02241a4bdf54c62f1e621 -size 1636 +%96年中国大学生数学建模竞赛A题:捕鱼 +%参考:《数学的实践与认识》1997,1,50-57 +%x1,x2,x3,x4--各龄鱼的数量 +%k--4龄鱼捕捞系数 +%y3,y4--各龄鱼的捕捞数量 +%y--鱼的捕获重量 +%n--产卵数量 + +%L.J.HU +clear; +%微分方程求解 +x1=dsolve('Dx1=-0.8*x1','x1(0)=a','t'); +x11=subs(x1,'t',1); +x2=dsolve('Dx2=-0.8*x2','x2(0)=b','t'); +x21=subs(x2,'t',1); +x21=subs(x21,'b',x11); +x3a=dsolve('Dx3a=-0.8*x3a-0.42*k*x3a','x3a(0)=c','t'); +x3a=subs(x3a,'c',x21); +x3a2=subs(x3a,'t',2/3); +x3b=dsolve('Dx3b=-0.8*x3b','x3b(2/3)=x3b0','t'); +x3b=subs(x3b,'x3b0',x3a2); +x3b=simple(x3b); +x31=subs(x3b,'t',1); +x4a=dsolve('Dx4a=-0.8*x4a-k*x4a','x4a(0)=d','t'); +x4a2=subs(x4a,'t',2/3); +x4b=dsolve('Dx4b=-0.8*x4b','x4b(2/3)=x4b0','t'); +x4b=subs(x4b,'x4b0',x4a2); +x4b=simple(x4b); +x41=subs(x4b,'t',1); +%捕获量产卵量 +syms k;dy3=0.42*k*x3a;dy4=k*x4a; +y3=int(dy3,'t',0,2/3); +y4=int(dy4,'t',0,2/3); +y=17.86*y3+22.99*y4; +n=1.109e5*3*int(0.5*x3b+x4b,'t',2/3,1); +x10=122*n/(122+n); +%优化 +y=subs(y,{'a','d',k},{'x(1)','x(2)','x(3)'}); +x10=subs(x10,{'a','d',k},{'x(1)','x(2)','x(3)'}); +x31=subs(x31,{'a',k},{'x(1)','x(3)'}); +x41=subs(x41,{'a','d',k},{'x(1)','x(2)','x(3)'}); +funf = ['f =',char(-y),';']; +fung = ['g =[x(1)-',char(x10),';x(2)-',char(x31+x41),'];']; +funn = [funf fung]; +options(13)=2; +[x,options]=constr(funn,[122,3.29,1],options); +y=-options(8); +x11=vpa(subs(x11,'a',x(1)),4); +x21=vpa(subs(x21,'a',x(1)),4); +%输出 +disp(['可持续捕获3,4龄鱼捕捞系数:',num2str([x(3)*0.42,x(3)])]); +disp(['每年捕获重量(10^9):',num2str(y)]); +disp(['年初各龄鱼分布(10^9):',num2str(x(1)),' ',char(x11),... + ' ',char(x21),' ',num2str(x(2))]); diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM96B.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM96B.M" index 3698a4a0371aa45e861d1aff492e597fa57085f8..a882a3b6fcacbc63f9ac088fb297c778b542fd93 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM96B.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM96B.M" @@ -1,3 +1,22 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:03160d754d382b044845311410fc6671116a240e956cbfac79bf340551c14ed4 -size 495 +%96年中国大学生数学建模竞赛B题:洗衣机 +%主程序 +%参考:《数学的实践与认识》1997,1,67-70 +%相关M文件:jm96bfun + +%L.J.HU +clear;vmin0=inf; +for t=2:5 + vini=30*ones(1,t); + vlb=20*ones(1,t);%最小水量 + vub=40*ones(1,t);%最大水量 + opt([2:3,14])=[1e-8,1e-8,500]; + [vmin,options]=constr('washfun',vini,opt,vlb,vub); + vmin %每轮水量 + if sum(vmin)options(8) + minfee=options(8); + grad=VARI;mark=x0; + end; + end; + end; + end; + end; +end; +disp(['标定值:',num2str(mark)]); +disp(['容差等级:',num2str(grad)]); +disp(['费用:',num2str(minfee)]); diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM97Afun.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM97Afun.m" index 9045c0e132b53aa428e7e3f2e3c8b92fec3b4f92..ee44b3843beee8a506354019cdd78f89c77885d8 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM97Afun.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM97Afun.m" @@ -1,3 +1,11 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:74941615371de4c13461a87b71ccc24a8fafa75ca8d799dd69ca3da7c917f4fe -size 314 +function y=jm97afun(x) +% 97年中国大学生数学建模竞赛A题函数关系 +% 用法: y=jm97afun(x) +% x--7个零件参数 +% y--分离器参数 +% 相关M文件:jm97a, jm97aoptim + +% L.J.HU +y=174.42*(x(1)/x(5))*(x(3)/(x(2)-x(1)))^... +0.85*((1-2.62*(1-0.36*(x(4)/x(2))^(-0.56))^... +1.5*(x(4)/x(2))^1.16)/(x(6)*x(7)))^0.5; diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM97Aoptim.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM97Aoptim.m" index ad2965af27be5cac34f4fc3c89a716aa4636d0ee..40fa6cf6d414251be352f43b578d92f20d5ad195 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM97Aoptim.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM97Aoptim.m" @@ -1,3 +1,25 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f932744f87cdbd52365621bd725c9a47dc495c830aa5a390cef3849ef6e41830 -size 631 +function [f,g]=JM97Aoptim(x) +% 97年中国大学生数学建模竞赛A题目标函数 +% 用法: [f,g]=jm97aoptim(x) +% x--7个零件参数 +% f--目标函数 +% g--虚拟参数,优化工具箱实用 +% 全程变量:COST(成本矩阵),VARI(容差等级) +% 相关M文件:jm97a, jm97afun + +global COST VARI; +y=jm97afun(x); +sig=0;h=0.0001; +for i=1:7 + xh=x;xh(i)=x(i)+h; + dy=(jm97afun(xh)-jm97afun(x))/h; + sig=sig+dy^2*(VARI(i)/300*x(i))^2; +end +sig=sig^0.5; +f=9000-8000*(normcdf(1.8,y,sig)-normcdf(1.2,y,sig))... + -1000*(normcdf(1.6,y,sig)-normcdf(1.4,y,sig)); +gra=[10 5 1]; +for i=1:7 + f=f+sum((VARI(i)==gra).*COST(i,:)); +end +g=-1; \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM97B.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM97B.M" index 5a68658865bab7726978db122aee02caa9c4bdc3..141597bc12d2dedad0ccb5f48063a66302a38a30 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM97B.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM97B.M" @@ -1,3 +1,211 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:6f2bf2f6d49d5f627f8de909ce13c69e76f2918190ca4a5098858c6848f4c288 -size 4353 +function [mincost,bestorder]=jm97b(r,e) +%97年中国大学生数学建模竞赛B题(枚举法) +%《数学的实践与认识》1998,1 +%费用函数计算采用迭代算法 +%用法:[mincost,bestorder]=jm97bcount(r,e) +% mincost--最小费用 +% bestorder--最优次序 +% r--水平切割费用比 +% e--垂直换刀费用 +%结果说明:1-左,2-右,3-前,4-后,5-上,6-下 +%相关M文件:jm97brule + +% L.J.HU +mincost=inf;minorder=[]; +p=perms(1:6); +for i=1:length(p) + order=p(i,:); + cost=jm97bcostf(order,r,e); + if cost0,则按照EXP(-D/T)的概率进行调整 +步8:T*0.9-->T,降温 +*/ + +#include +#include +#define TFACTR 0.9 +#define MAX 10000.0 +#define MBIG 1000000000 +#define MSEED 161803398 +#define MZ 0 +#define FAC (1.0/MBIG) +float weight[54][54]; +int iorder[54]; +void anneal (int ncity) + +{ int irbit(unsigned long *iseed); + +int metrop(float de,float t); +float ran(long *idum); +float reverse_len(int ncity,int n[]); +void reverse(int ncity,int n[]); +float transe_len(int ncity,int n[]); +void transe(int ncity,int n[]); +int ans,nover,nlimit,i1,i2; +int i,j,nsucc,nn,idec; +unsigned long k; +static int n[7]; +long idum; +unsigned long iseed; +float path,de,t,T; +nlimit=100*ncity;/*max succ try numbers */ +path =0.0; + +for(i=1;i=n[1]) ++n[2]; + nn=1+((n[1]-n[2]+ncity-1)%ncity); + } while (nn<3); + idec=irbit(&iseed); + + if(idec==0){ + n[3]=n[2]+(int) (abs(nn-2)*ran(&idum))+1; + n[3]=1+((n[3]-1)%ncity); + de=transe_len(ncity,n); + ans=metrop(de,T); + if (ans){ ++nsucc; + path+=de; + transe(ncity,n); + } + } + else { + de=reverse_len(ncity,n); + ans=metrop(de,T); + if (ans) {++nsucc; + path+=de; + reverse(ncity,n); + } + } + if(nsucc>=nlimit) break; + } + + printf("\n %s %10.6f %s %10.6f j=%d","T=",T,"path len=",path,j); + printf("successful moves: %6d\n",nsucc); + + for(i=1;i<=53;i++) printf("\%5d",iorder[i]); + + + + + T*=TFACTR; + if(nsucc==0) return; + } + + + } + +float reverse_len(int ncity,int n[]) + { + float de; + int xx[5],yy[5]; + int j,ii; + n[3]=1+((n[1]+ncity-2)%ncity); + n[4]=1+(n[2]%ncity); + for(j=1;j<=4;j++) { + xx[j]=iorder[n[j]]; + } + de=-weight[xx[1]][xx[3]]; + de-=weight[xx[2]][xx[4]]; + de+=weight[xx[1]][xx[4]]; + de+=weight[xx[2]][xx[3]]; + + return de; + } + + void reverse (int ncity,int n[]) + { int nn,j,k,l,itmp; + nn=(1+((n[2]-n[1]+ncity)%ncity))/2; + for(j=1;j<=nn;j++){ k=1+((n[1]+j-2)%ncity); + l=1+((n[2]-j+ncity)%ncity); + itmp=iorder[k]; + iorder[k]=iorder[l]; + iorder[l]=itmp; + } + } + + float transe_len(int ncity,int n[]) + { + float /*xx[7],yy[7],*/ de; + int j,ii,xx[7]; + n[4]=1+(n[3]%ncity); + n[5]=1+((n[1]+ncity-2)%ncity); + n[6]=1+(n[2]%ncity); + for(j=1;j<=6;j++){ + /*ii=iorder[n[j]]; + xx[j]=x[ii]; + yy[j]=y[ii];*/ + xx[j]=iorder[n[j]]; + } + de=-weight[xx[2]][xx[6]]; + de-=weight[xx[1]][xx[5]]; + de-=weight[xx[3]][xx[4]]; + de+=weight[xx[1]][xx[3]]; + de+=weight[xx[2]][xx[4]]; + de+=weight[xx[5]][xx[6]]; + return de; + } + void transe(int ncity,int n[]) + { + int m1,m2,m3,nn,j,jj,jorder[100]; + m1=1+((n[2]-n[1]+ncity) %ncity); /* n[1] to n[2] city numbers*/ + m2=1+((n[5]-n[4]+ncity) %ncity); /*n[4] to n[5] */ + + m3=1+((n[3]-n[6]+ncity) %ncity); /*n[3].. n[6] .....*/ + nn=1; + for(j=1;j<=m1;j++) + {jj=1+((j+n[1]-2)%ncity); + jorder[nn++]=iorder[jj]; + } + if(m2>0) for(j=1;j<=m2;j++) + { jj=1+((j+n[4]-2)%ncity); + jorder[nn++]=iorder[jj]; + } + if(m3>0) for(j=1;j<=m3;j++){ jj=1+((j+n[6]-2)%ncity); + jorder[nn++]=iorder[jj]; + } + for(j=1;j<=ncity;j++) + iorder[j]=jorder[j]; + } + int metrop(float de,float t) + { + float ran(long *idum); + static long gljdum=1; + return de<0.0 ||ran(&gljdum)>17 + ^(*iseed&16)>>4 + ^(*iseed &2)>>1 + ^(*iseed &1); + *iseed=(*iseed<<1)|newbit; + return newbit; +} +main() +{ + + int ncity=53; + int i,j,k,l; + for(i=0;i<=53;i++) iorder[i]=i; + for(i=1;i<=53;i++) + for(j=1;j<=53;j++) + weight[i][j]=0; + +weight[53][1]=6; +weight[53][50]=10.1; +weight[1][38]=11.2; +weight[3][39]=8.2; + weight[5][39]=11.3; + weight[6][48]=9.5; + weight[8][40]=8; +weight[11][40]=14.2; +weight[12][42]=7.8; +weight[13][44]=16.4; +weight[15][44]=8.8; +weight[17][46]=9.8; +weight[19][20]=9.3; +weight[20][25]=6.5; +weight[21][46]=4.1; +weight[23][49]=7.9; +weight[25][49]=8.8; +weight[27][28]=7.9; +weight[29][51]=7.2; +weight[31][32]=8.1; +weight[33][35]=20.3; +weight[34][37]=17.6; +weight[44][45]=15.8; +weight[53][2]=9.2; +weight[53][52]=12.9; +weight[2][3]=4.8; +weight[4][8]=20.4; +weight[5][48]=11.4; +weight[7][39]=15.1; +weight[9][40]=7.8; +weight[11][42]=6.8; +weight[12][43]=10.2; +weight[13][45]=9.8; +weight[16][17]=6.8; +weight[18][44]=8.2; +weight[19][45]=8.1; +weight[20][47]=5.5; +weight[22][23]=10; +weight[24][27]=18.8; +weight[26][27]=7.8; +weight[28][50]=12.1; +weight[29][52]=7.9; +weight[31][33]=7.3; +weight[33][36]=7.4; +weight[36][37]=12.2; +weight[48][49]=14.2; +weight[53][38]=11.5; +weight[1][36]=10.3; +weight[2][5]=8.3; +weight[4][39]=12.7; +weight[6][7]=7.3; +weight[7][40]=7.2; +weight[9][41]=5.6; +weight[11][45]=13.2; +weight[13][14]=8.6; +weight[14][15]=15; +weight[16][44]=11.8; +weight[18][45]=8.2; +weight[19][47]=7.2; +weight[21][23]=9.1; +weight[22][46]=10.1; +weight[24][49]=13.2; +weight[26][49]=10.5; +weight[28][51]=8.3; +weight[30][32]=10.3; +weight[31][52]=9.2; +weight[34][35]=8.2; +weight[36][52]=8.8; +weight[53][48]=19.8; +weight[1][37]=5.9; +weight[3][38]=7.9; +weight[5][6]=9.7; +weight[6][47]=11.8; +weight[7][47]=14.5; +weight[10][41]=10.8; +weight[12][41]=12.2; +weight[13][42]=8.6; +weight[14][43]=9.9; +weight[17][22]=6.7; +weight[18][46]=9.2; +weight[20][21]=7.9; +weight[21][25]=7.8; +weight[23][24]=8.9; +weight[25][48]=12; +weight[26][50]=10.5; +weight[29][50]=15.2; +weight[30][51]=7.7; +weight[32][35]=14.9; +weight[34][36]=11.5; +weight[37][38]=11; +for(i=1;i<=53;i++) +for(j=1;j<=53;j++) +if(weight[i][j]!=0)weight[j][i]=weight[i][j]; +for(i=1;i<=53;i++) +for(j=1;j<=53;j++) +if(weight[i][j]==0) weight[i][j]=MAX; + for(k=1;k<=53;k++) + for(i=1;i<=53;i++) + for(j=1;j<=53;j++) + +if(!(i==j)&&!(i==k)&&!(k==j)) + if( weight[i][k]+weight[k][j]0,则按照EXP(-D/T)的概率进行调整 +%步8:T*0.9-->T,降温 + +%本程序用C语言编写jm98b.c diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM99A.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM99A.M" index 34c14d45c5b8b1da57e8e3c132da7a2390efe36e..3f8a1bd5581ba8e50452cd6a4441e9c501841621 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM99A.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/JM99A.M" @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:6808f39d7e0d67bbea793febc4329da8b140cc69599aba4acc0dcd7c5c9e35d9 -size 272 +function [x,opt]=jm99a(n,m) +%99年中国大学生数学建模竞赛a题:自动化车床问 +%参见《数学的实践与认识》2000.1.p36-40 +opt=inf; +for n=10:5:30 + for m=300:10:400 + [x0,op]=fmins('jm99afun',[n m]); + if op(8)100*eps).*(x=u/M/100).*max(x,u/M); +y=y.*p; +f=lemda*xx(len)-(1-lemda)*sum(r.*x-y); +g(1)=sum(x+y)-1; +g(2:(len-1))=q(1:(len-2)).*x(1:(len-2))-xx(len);g=g(:); diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/jm99a1simu.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/jm99a1simu.m" index 9debe0411cd49a3758ce4b6253f14b03797f8fb8..1d9064898751efcaa62070c2447f0e4cd5e18a60 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/jm99a1simu.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/jm99a1simu.m" @@ -1,3 +1,21 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:a784f087037a1eb8f6cea9db934c72e38030850725ab43f6bcfe3e0fe4ea3bf3 -size 412 +%99年中国大学生数学建模竞赛a题:自动化车床管理模型一 +%参见《数学的实践与认识》2000.1.p36-40 +%随机模拟 +clear; +data=normrnd(600*0.95,196.6292*0.95,1,10000); +out=find((data>1200)|(data<=0)); +data(out)=[]; +leng=length(data); +minfee=inf; +for n=1:20 + for m=310:10:390 + f=jm99asmfun(data,n,m); + if fnum_prod)+1000*(x==num_prod).*(num_prod==m); +loss=bad_prod*200+exam_times*10+knife_fee; +f=mean(loss)/mean(num_prod); + + + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/\346\226\260\345\273\272 \346\226\207\346\234\254\346\226\207\346\241\243.txt" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/\346\226\260\345\273\272 \346\226\207\346\234\254\346\226\207\346\241\243.txt" index 65466627f14489f5d0692d77f1317859ad82c35b..77d9312cb505f4c7c638af72a54a0ef678e79413 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/\346\226\260\345\273\272 \346\226\207\346\234\254\346\226\207\346\241\243.txt" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\344\270\255\345\233\275\345\244\247\345\255\246\347\224\237\346\225\260\345\255\246\345\273\272\346\250\241\347\253\236\350\265\233\351\242\230\350\247\243/\346\226\260\345\273\272 \346\226\207\346\234\254\346\226\207\346\241\243.txt" @@ -1,3 +1,19 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:c3660ff86857f7afd66459e6b0156fdd30469f77c1c7b8b08f3b82e21303d8cb -size 592 +%中国大学生数学建模竞赛题解 +% jm96a - 捕鱼策略 +% jm96b - 节水洗衣机 +% jm96bfun - 节水洗衣机优化函数 +% jm97a - 零件参数设计 +% jm97afun - 零件参数函数 +% jm97aoptim - 零件参数设计优化函数 +% jm97b - 截断切割 +% jm97bcount - 截断切割枚举法 +% jm97brule - 截断切割优化准则 +% jm98a1 - 风险投资模型求解 +% jm98a2 - 风险投资模型讨论 +% jm98a3 - 收益与风险非线性模型求解 +% jm98a3fun - 收益与风险非线性模型优化函数 +% jm98b - 灾情巡视路线(C程序) +% jm99a1 - 自动化车床模型一 +% jm99a1fun - 自动化车床模型目标函数 +% jm99a1simu - 自动化车床模型随机模拟 +% jm99asmfun - 自动化车床模型费用函数 \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\233\276\345\275\242/DRAW.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\233\276\345\275\242/DRAW.M" index 8adb66bd2528b26c8551ddd5f8d18193dc4d299f..ce252589598284dbec3098cdbaccf785c7adf018 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\233\276\345\275\242/DRAW.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\233\276\345\275\242/DRAW.M" @@ -1,3 +1,178 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f26ea281bc3ed65d316c2789f7f4cf5404870d2d5f8089568a7d99667a71ee86 -size 5528 +function fig = draw() +% 手画光滑曲线图形界面 +% 先用Range确定大致范围;然后用ginput用鼠标单击大致数据点;最后用Draw it画图。 +% 本程序采用样条拟合 + +% By L. J. Hu, 2000 +% This is the machine-generated representation of a Handle Graphics object +% and its children. Note that handle values may change when these objects +% are re-created. This may cause problems with any callbacks written to +% depend on the value of the handle at the time the object was saved. +% +% To reopen this object, just type the name of the M-file at the MATLAB +% prompt. The M-file and its associated MAT-file must be on your path. + +load draw + +h0 = figure('Color',[0.8 0.8 0.8], ... + 'Colormap',mat0, ... + 'Name','Smooth Draw', ... + 'NumberTitle','off', ... + 'PointerShapeCData',mat1, ... + 'Position',[40 45 560 375], ... + 'Resize','off', ... + 'Tag','drawfig', ... + 'UserData',mat2); +h1 = axes('Parent',h0, ... + 'Units','pixels', ... + 'Box','on', ... + 'CameraUpVector',[0 1 0], ... + 'CameraUpVectorMode','manual', ... + 'Color',[1 1 1], ... + 'ColorOrder',mat3, ... + 'HandleVisibility','callback', ... + 'Position',[52 135 347 218], ... + 'Tag','Axes1', ... + 'XColor',[0 0 0], ... + 'XGrid','on', ... + 'XLimMode','manual', ... + 'YColor',[0 0 0], ... + 'YGrid','on', ... + 'YLimMode','manual', ... + 'ZColor',[0 0 0], ... + 'ZGrid','on'); +h2 = text('Parent',h1, ... + 'Color',[0 0 0], ... + 'HandleVisibility','off', ... + 'HorizontalAlignment','center', ... + 'Position',[0.4971098265895954 -0.1105990783410138 9.160254037844386], ... + 'Tag','Axes1Text4', ... + 'VerticalAlignment','cap'); +set(get(h2,'Parent'),'XLabel',h2); +h2 = text('Parent',h1, ... + 'Color',[0 0 0], ... + 'HandleVisibility','off', ... + 'HorizontalAlignment','center', ... + 'Position',[-0.08959537572254335 0.4930875576036867 9.160254037844386], ... + 'Rotation',90, ... + 'Tag','Axes1Text3', ... + 'VerticalAlignment','baseline'); +set(get(h2,'Parent'),'YLabel',h2); +h2 = text('Parent',h1, ... + 'Color',[0 0 0], ... + 'HandleVisibility','off', ... + 'HorizontalAlignment','right', ... + 'Position',[-0.1502890173410405 1.101382488479263 9.160254037844386], ... + 'Tag','Axes1Text2', ... + 'Visible','off'); +set(get(h2,'Parent'),'ZLabel',h2); +h2 = text('Parent',h1, ... + 'Color',[0 0 0], ... + 'HandleVisibility','off', ... + 'HorizontalAlignment','center', ... + 'Position',[0.4971098265895954 1.032258064516129 9.160254037844386], ... + 'Tag','Axes1Text1', ... + 'VerticalAlignment','bottom'); +set(get(h2,'Parent'),'Title',h2); +h1 = uicontrol('Parent',h0, ... + 'Units','points', ... + 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... + 'ListboxTop',0, ... + 'Position',[325.5 3 85.5 263.25], ... + 'Style','frame', ... + 'Tag','Frame1'); +h1 = uicontrol('Parent',h0, ... + 'Units','points', ... + 'Callback','clear;[x,y]=ginput;', ... + 'FontSize',14, ... + 'ListboxTop',0, ... + 'Position',[333 222 72 25.5], ... + 'String','Ginput', ... + 'Tag','Pushbutton1'); +h1 = uicontrol('Parent',h0, ... + 'Units','points', ... + 'Callback','pp=csaps(x,y,0.9999);fnplt(pp,''b'',2);', ... + 'FontSize',14, ... + 'ListboxTop',0, ... + 'Position',[333.75 192 72 24.75], ... + 'String','Draw It', ... + 'Tag','Pushbutton2'); +h1 = uicontrol('Parent',h0, ... + 'Units','points', ... + 'Callback','gline', ... + 'FontSize',14, ... + 'ListboxTop',0, ... + 'Position',[333.75 163.5 72 24.75], ... + 'String','Line', ... + 'Tag','Pushbutton3'); +h1 = uicontrol('Parent',h0, ... + 'Units','points', ... + 'Callback',mat4, ... + 'FontSize',14, ... + 'ListboxTop',0, ... + 'Position',[334.5 102 72 25.5], ... + 'String','Range', ... + 'Tag','Pushbutton4'); +h1 = uicontrol('Parent',h0, ... + 'Units','points', ... + 'Callback','cla;axis([0 1 0 1]);hold off', ... + 'FontSize',14, ... + 'ListboxTop',0, ... + 'Position',[334.5 13.5 71.25 26.25], ... + 'String','Erase', ... + 'Tag','Pushbutton5'); +h1 = uicontrol('Parent',h0, ... + 'Units','points', ... + 'Callback','grid', ... + 'FontSize',14, ... + 'ListboxTop',0, ... + 'Position',[334.5 133.5 72 25.5], ... + 'String','Grid', ... + 'Tag','Pushbutton6'); +h1 = uicontrol('Parent',h0, ... + 'Units','points', ... + 'ListboxTop',0, ... + 'Position',[21.75 9 273 63.75], ... + 'Style','frame', ... + 'Tag','Frame2'); +h1 = uicontrol('Parent',h0, ... + 'Units','points', ... + 'BackgroundColor',[1 1 1], ... + 'Callback','eval(get(gcbo,''string''))', ... + 'ListboxTop',0, ... + 'Position',[32.25 9.75 261 46.5], ... + 'Style','edit', ... + 'Tag','EditText1'); +h1 = uicontrol('Parent',h0, ... + 'Units','points', ... + 'Callback',mat5, ... + 'FontSize',14, ... + 'ListboxTop',0, ... + 'Position',[334.5 73.5 71.25 23.25], ... + 'String','Labels', ... + 'Tag','Pushbutton7'); +h1 = uicontrol('Parent',h0, ... + 'Units','points', ... + 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... + 'ListboxTop',0, ... + 'Position',[27 57.75 81 12], ... + 'String','Command Window', ... + 'Style','text', ... + 'Tag','StaticText1'); +h1 = uicontrol('Parent',h0, ... + 'Units','points', ... + 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... + 'ListboxTop',0, ... + 'Position',[332.25 248.25 75.75 15], ... + 'String','Control Panel', ... + 'Style','text', ... + 'Tag','StaticText2'); +h1 = uicontrol('Parent',h0, ... + 'Units','points', ... + 'Callback','hold', ... + 'FontSize',14, ... + 'ListboxTop',0, ... + 'Position',[334.5 43.5 70.5 24.75], ... + 'String','Hold', ... + 'Tag','Pushbutton8'); +if nargout > 0, fig = h0; end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\233\276\345\275\242/MESH.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\233\276\345\275\242/MESH.M" index da8eb525219cb749471b08a314e245ba18f76ac0..400039b5acf6af6e3b591d1c375cce9741c9f594 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\233\276\345\275\242/MESH.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\233\276\345\275\242/MESH.M" @@ -1,3 +1,99 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:df6ca8fde901a0f2d5920b1d76b201be124eba28398cbb89e6f7b65a037c41fb -size 3626 +function h = mesh(x,y,z,c) +%空间曲面图 +% mesh(x,y,z)其中x,y,z为同阶矩阵,每一组对应元素代表一个网格点。 +% +%例如 曲面 z=x.*exp(-x^2-y^2),-2 右三角形 +% h 六角形 +% p 五角形 +%例如 +% x=0:0.2:2*pi;y=sin(x); +% plot(x,y,'r*') +% +%PLOT Linear plot. +% PLOT(X,Y) plots vector Y versus vector X. If X or Y is a matrix, +% then the vector is plotted versus the rows or columns of the matrix, +% whichever line up. +% +% PLOT(Y) plots the columns of Y versus their index. +% If Y is complex, PLOT(Y) is equivalent to PLOT(real(Y),imag(Y)). +% In all other uses of PLOT, the imaginary part is ignored. +% +% Various line types, plot symbols and colors may be obtained with +% PLOT(X,Y,S) where S is a character string made from one element +% from any or all the following 3 colunms: +% +% y yellow . point - solid +% m magenta o circle : dotted +% c cyan x x-mark -. dashdot +% r red + plus -- dashed +% g green * star +% b blue s square +% w white d diamond +% k black v triangle (down) +% ^ triangle (up) +% < triangle (left) +% > triangle (right) +% p pentagram +% h hexagram +% +% For example, PLOT(X,Y,'c+:') plots a cyan dotted line with a plus +% at each data point; PLOT(X,Y,'bd') plots blue diamond at each data +% point but does not draw any line. +% +% PLOT(X1,Y1,S1,X2,Y2,S2,X3,Y3,S3,...) combines the plots defined by +% the (X,Y,S) triples, where the X's and Y's are vectors or matrices +% and the S's are strings. +% +% For example, PLOT(X,Y,'y-',X,Y,'go') plots the data twice, with a +% solid yellow line interpolating green circles at the data points. +% +% The PLOT command, if no color is specified, makes automatic use of +% the colors specified by the axes ColorOrder property. The default +% ColorOrder is listed in the table above for color systems where the +% default is yellow for one line, and for multiple lines, to cycle +% through the first six colors in the table. For monochrome systems, +% PLOT cycles over the axes LineStyleOrder property. +% +% PLOT returns a column vector of handles to LINE objects, one +% handle per line. +% +% The X,Y pairs, or X,Y,S triples, can be followed by +% parameter/value pairs to specify additional properties +% of the lines. +% +% See also SEMILOGX, SEMILOGY, LOGLOG, GRID, CLF, CLC, TITLE, +% XLABEL, YLABEL, AXIS, AXES, HOLD, COLORDEF, and SUBPLOT. + +% If the NextPlot axes property is "replace" (HOLD is off), PLOT resets +% all axes properties, except Position, to their default values, +% deletes all axes children (line, patch, text, surface, and +% image objects), and sets the View property to [0 90]. + +% Copyright (c) 1984-98 by The MathWorks, Inc. +% $Revision: 5.7 $ $Date: 1997/11/21 23:33:07 $ +% Built-in function. + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\233\276\345\275\242/PLOT3.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\233\276\345\275\242/PLOT3.M" index 2bce8c9a310b39e12c0a7cce8582254e2b71f90a..d63514bd116eed8474c457b1a731fe3ca7100415 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\233\276\345\275\242/PLOT3.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\233\276\345\275\242/PLOT3.M" @@ -1,3 +1,50 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:b3ca4b4713386f0e0241a233ecfbb9b68a36c392d1a9a52ecce213e55b23185a -size 1937 +%空间曲线图 +% PLOT3(x,y,z,s)其中x,y,z为向量,每一组分量代表一个数据点。 +% s为表示颜色、连线和标记选择的字符串 +%例如 曲线x=exp(-0.2*z)*cos(0.5*pi*z),y=exp(-0.2*z)*sin(0.5*pi*z), 0= size(X,DIM), DIFF takes +% successive differences along the next non-singleton dimension. +% DIFF(X,N,DIM) is the Nth difference function along dimension DIM. +% If N >= size(X,DIM), DIFF returns an empty array. +% +% Examples: +% h = .001; x = 0:h:pi; +% diff(sin(x.^2))/h is an approximation to 2*cos(x.^2).*x +% diff((1:10).^2) is 3:2:19 +% +% If X = [3 7 5 +% 0 9 2] +% then diff(X,1,1) is [-3 2 -3], diff(X,1,2) is [4 -2 +% 9 -7], +% diff(X,2,2) is the 2nd order difference along the dimension 2, and +% diff(X,3,2) is the empty matrix. +% +% See also GRADIENT, SUM, PROD. + +% Copyright (c) 1984-98 by The MathWorks, Inc. +% $Revision: 5.20 $ $Date: 1997/11/21 23:23:41 $ +% Built-in function. diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/DSOLVE.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/DSOLVE.M" index 9dd1299f9777063da6ad4d627be8a36e5f5b6700..93604c1dad755f97357138bc0b46809e732d8bc0 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/DSOLVE.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/DSOLVE.M" @@ -1,3 +1,290 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:60120bd1976bb5addb16a00a9f8a0f9857527965b56f5760c595127c272a9e80 -size 9680 +function varargout = dsolve(varargin) +%s=dsolve('方程1','方程2',...,'初始条件1','初始条件2',...,'自变量'). +% 均用字符串方式表示,自变量缺省值为t. +% 导数用D表示,2阶导数用D2表示,以此类推. +% s返回解析解.方程组情形,s为一个符号结构. +% +%DSOLVE Symbolic solution of ordinary differential equations. +% DSOLVE('eqn1','eqn2', ...) accepts symbolic equations representing +% ordinary differential equations and initial conditions. Several +% equations or initial conditions may be grouped together, separated +% by commas, in a single input argument. +% +% By default, the independent variable is 't'. The independent variable +% may be changed from 't' to some other symbolic variable by including +% that variable as the last input argument. +% +% The letter 'D' denotes differentiation with respect to the independent +% variable, i.e. usually d/dt. A "D" followed by a digit denotes +% repeated differentiation; e.g., D2 is d^2/dt^2. Any characters +% immediately following these differentiation operators are taken to be +% the dependent variables; e.g., D3y denotes the third derivative +% of y(t). Note that the names of symbolic variables should not contain +% the letter "D". +% +% Initial conditions are specified by equations like 'y(a)=b' or +% 'Dy(a) = b' where y is one of the dependent variables and a and b are +% constants. If the number of initial conditions given is less than the +% number of dependent variables, the resulting solutions will obtain +% arbitrary constants, C1, C2, etc. +% +% Three different types of output are possible. For one equation and one +% output, the resulting solution is returned, with multiple solutions to +% a nonlinear equation in a symbolic vector. For several equations and +% an equal number of outputs, the results are sorted in lexicographic +% order and assigned to the outputs. For several equations and a single +% output, a structure containing the solutions is returned. +% +% If no closed-form solution is found, a warning is given. +% +% Examples: +% +% dsolve('Dx = -a*x') returns +% +% ans = exp(-a*t)*C1 +% +% x = dsolve('Dx = -a*x','x(0) = 1','s') returns +% +% x = exp(-a*s) +% +% y = dsolve('(Dy)^2 + y^2 = 1','y(0) = 0') returns +% +% y = +% [ sin(t)] +% [ -sin(t)] +% +% S = dsolve('Df = f + g','Dg = -f + g','f(0) = 1','g(0) = 2') +% returns a structure S with fields +% +% S.f = exp(t)*cos(t)+2*exp(t)*sin(t) +% S.g = -exp(t)*sin(t)+2*exp(t)*cos(t) +% +% dsolve('Df = f + sin(t)', 'f(pi/2) = 0') +% dsolve('D2y = -a^2*y', 'y(0) = 1, Dy(pi/a) = 0') +% S = dsolve('Dx = y', 'Dy = -x', 'x(0)=0', 'y(0)=1') +% S = dsolve('Du=v, Dv=w, Dw=-u','u(0)=0, v(0)=0, w(0)=1') +% w = dsolve('D3w = -w','w(0)=1, Dw(0)=0, D2w(0)=0') +% +% See also SOLVE, SUBS. + +% Copyright (c) 1993-98 by The MathWorks, Inc. +% $Revision: 1.26 $ $Date: 1997/11/29 01:06:23 $pj costa + +narg = nargin; + +% The default independent variable is t. +x = 't'; +% Pick up the independent variable, if specified. +if all(varargin{narg} ~= '='), + x = varargin{narg}; narg = narg-1; +end; + +% Concatenate equation(s) and initial condition(s) inputs into SYS. +sys = varargin{1}; +for k = 2: narg + sys = [sys ', ' varargin{k}];; +end + +% Break SYS into pieces. Each such piece, Dstr, begins with the first +% character following a "D" and ends with the character preceding the +% next consecutive "D". Loop over each Dstr and do the following: +% o add to the list of dependent variables +% o replace derivative notation. E.g., "D3y" --> "(D@@3)y" +% +% A dependent variable is defined as a variable that is preceded by "Dk", +% where k is an integer. +% +% new_sys looks like: eqn(s), initial condition(s) (i.e., no brackets) +% var_set looks like: { x(t), y2(t), ... } (i.e., with brackets) + +var_set = '{'; % string representing Maple set of dependent variables + +% Add dummy "D" so that last Dstr acts like all Dstr's +d = [find(sys == 'D') length(sys)+1]; + +new_sys = sys(1:d-1); % SYS rewritten with (D@@k)y notation + +for kd = 1:length(d)-1 + Dstr = sys(d(kd)+1:d(kd+1)-1); + iletter = find(isletter(Dstr)); % index to letters in Dstr + + % Replace Dky with (D@@k)y + if iletter(1)==1 % First derivative case (Dy) + new_sys = [new_sys '(D' Dstr(1:iletter(1)-1) ')' Dstr(iletter(1):end)]; + else + new_sys = [new_sys '(D@@' Dstr(1:iletter(1)-1) ')' Dstr(iletter(1):end)]; + end + + % Store the dependent variable. Find this variable by looking at the + % characters following the derivative order and pulling off the first + % consecutive chunk of alphanumeric characters. + Dstr1 = Dstr(iletter(1):end); + ialphanum = find(~isletter(Dstr1) & (Dstr1 < '0' | Dstr1 > '9')); + var_set = [var_set Dstr1(1:ialphanum(1)-1) ',']; +end + +% Get rid of duplicate entries in var_set +var_set(end) = '}'; +var_set = maple([var_set ' intersect ' var_set]); + +% Generate var_str, the Maple string representing the set of dependent +% variables. +% Replace all dependent variables with their functional equivalents, +% i.e., replace y -> (y)(x). + +% Break the system string into its equation and initial condition parts. +% This is done by looking for the first occurrence of "y(", where y is a +% dependent variable. +indx_ic = length(new_sys); % points to starting character of ic string +ic_str = []; % initialize the initial condition string +eq_str = new_sys; % initialize the equation string +var_str = '{'; % Maple set of dependent variables +vars = [',' var_set(2:end-1) ',']; % preceding comma delimits variable +vars(find(vars==' '))=[]; % deblank +kommas = find(vars==','); + +for k = 1: length(kommas)-1 + v = vars(kommas(k)+1:kommas(k+1)-1); % v is a dependent variable + + % Add to set of dependent variables. + var_str = [var_str v '(' x '),']; + + % Look for first occurrence of "v(". If it's before the first occurrence + % of the previous dependent variable, change value of indx_ic and + % shorten the equation string. + indx = findstr(eq_str, [v '(']); % index to current dependent var. + if isempty(indx), indx = indx_ic; end + indx_ic = min(indx_ic,indx(1)); + eq_str = new_sys(1:min(indx_ic)); +end + +% Finish var_str +var_str(end) = '}'; + +% Stuff after the last comma belongs in the initial condition string +if indx_ic < length(new_sys) + last_comma = max(find(eq_str==',')); + ic_str = new_sys(last_comma:end); + eq_str = eq_str(1: last_comma-1); +end + +% In the equation string, replace all occurrences of "y" with "(y)(x)". +for j = 1:length(kommas)-1 + v = vars(kommas(j)+1:kommas(j+1)-1); + m = length(v); + e = length(eq_str); + for k = fliplr(findstr(v,eq_str)) + if k+m > e | ~isvarname(eq_str(k:k+m)) + eq_str = [eq_str(1:k-1) '(' v ')(' x ')' eq_str(k+m:end)]; + end + end +end + +% In the ic string, replace all occurrences of "y" with "(y)". +for j = 1:length(kommas)-1 + v = vars(kommas(j)+1:kommas(j+1)-1); + m = length(v); + e = length(ic_str); + for k = fliplr(findstr(v,ic_str)) + if k+m > e | ~isvarname(ic_str(k:k+m)) + ic_str = [ic_str(1:k-1) '(' v ')' ic_str(k+m:end)]; + end + end +end + +% Convert system to rational form and solve +[R,stat] = maple('dsolve', ... + ['convert({',eq_str,ic_str,'},fraction)'], var_str, 'explicit'); +if stat + error(R) +end + +% If no solution, give up. + +if isempty(R) | ~isempty(findstr(R,'DESol')) + warning('Explicit solution could not be found.'); + varargout = cell(1,nargout); + varargout{1} = sym([]); + return +end + +% Eliminate underscores in constants. + +R(findstr(R,'_C')) = []; + +% Parse the result. + +if R(1) ~= '{', R = ['{' R '}']; end +vars(1) = '['; vars(end) = ']'; +vars = maple('sort',vars); +vars(1) = '{'; vars(end) = '}'; +nvars = sum(commas(vars))+1; + +if nvars == 1 & nargout <= 1 + + % One variable and at most one output. + % Return a single scalar or vector sym. + + S = sym([]); + c = find(commas(R) | R == '}'); + for p = find(R == '=') + q = min(c(c>p)); + t = trim(R(p+1:q-1)); + S = [S; sym(t)]; + end + varargout{1} = S; + +else + + % Several variables. + % Create a skeleton structure. + + c = [1 find(commas(vars)) length(vars)]; + S = []; + for j = 1:nvars + v = trim(vars(c(j)+1:c(j+1)-1)); + S = setfield(S,v,[]); + end + + % Complete the structure. + + c = [1 find(commas(R) | R == '{' | R == '}') length(R)]; + for p = find(R == '=') + q = max(c(cp)); + t = trim(R(p+1:q-1)); + S = setfield(S,v,[getfield(S,v); sym(t)]); + end + + if nargout <= 1 + + % At most one output, return the structure. + varargout{1} = S; + + elseif nargout == nvars + + % Same number of outputs as variables. + % Match results in lexicographic order to outputs. + v = fieldnames(S); + for j = 1:nvars + varargout{j} = getfield(S,v{j}); + end + + else + error([int2str(nvars) ' variables does not match ' ... + int2str(nargout) ' outputs.']) + end +end + +function s = trim(s); +%TRIM TRIM(s) deletes any leading or trailing blanks. +while s(1) == ' ', s(1) = []; end +while s(end) == ' ', s(end) = []; end + + +function c = commas(s) +%COMMAS COMMAS(s) is true for commas not inside parentheses. +p = cumsum((s == '(') - (s == ')')); +c = (s == ',') & (p == 0); diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/INT.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/INT.M" index c61c7b5b132e8b6f80b329bbc6d4e237d9b95e70..876b568413c76211b769d69d543b3ef905564a09 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/INT.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/INT.M" @@ -1,3 +1,78 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:752ecfe3baeb84941fe566a8e90d9052fa593a239bf31acd0e4e50fd0caabea6 -size 2579 +function r = int(f,x,a,b) +%符号积分法 +% int(s)符号表达式s的不定积分. +% int(s,v)符号表达式s关于变量v的不定积分. +% int(s,a,b)符号表达式s的定积分, a,b分别为上﹑下限. +% int(s,v,a,b)符号表达式s关于变量v从 a到b的定积分. +% 当int求不出符号解,会自动转求数值解. +%例( 求不出符号解,会自动转求数值解) +% syms x;t=int(exp(-x^sin(x)),0,1),vpa(t,5) +% 结果为 +% Warning: Explicit integral could not be found. +% > In D:\MATLAB5\toolbox\symbolic\@sym\int.m at line 58 +% t = +% int(exp(-x^sin(x)),x = 0 .. 1)%表示无解析解 +% ans = +% .45491 %数值解 +%更多的例子见下列英文部分 +% +%INT Integrate. +% INT(S) is the indefinite integral of S with respect to its symbolic +% variable as defined by FINDSYM. S is a SYM (matrix or scalar). +% If S is a constant, the integral is with respect to 'x'. +% INT(S,v) is the indefinite integral of S with respect to v. v is a +% scalar SYM. +% INT(S,a,b) is the definite integral of S with respect to its +% symbolic variable from a to b. a and b are each double or +% symbolic scalars. +% INT(S,v,a,b) is the definite integral of S with respect to v +% from a to b. +% +% Examples: +% syms x x1 alpha u t; +% A = [cos(x*t),sin(x*t);-sin(x*t),cos(x*t)]; +% int(1/(1+x^2)) returns atan(x) +% int(sin(alpha*u),alpha) returns -cos(alpha*u)/u +% int(besselj(1,x),x) returns -besselj(0,x) +% int(x1*log(1+x1),0,1) returns 1/4 +% int(4*x*t,x,2,sin(t)) returns 2*sin(t)^2*t-8*t +% int([exp(t),exp(alpha*t)]) returns [exp(t), 1/alpha*exp(alpha*t)] +% int(A,t) returns [sin(x*t)/x, -cos(x*t)/x] +% [cos(x*t)/x, sin(x*t)/x] + +% Copyright (c) 1993-98 by The MathWorks, Inc. +% $Revision: 1.15 $ $Date: 1997/11/29 01:05:44 $pj costa + +f = sym(f); + +if nargin <= 2 + % Indefinite integral + if nargin < 2 + x = findsym(f,1); + if isempty(x), x = 'x'; end + else + x = char(sym(x)); + end + r = maple('map','int',f,x); +else + % Definite integral + if nargin < 4 + b = a; + a = x; + x = findsym(f,1); + if isempty(x), x = 'x'; end + end + x = sym(x); + b = sym(b); + a = sym(a); + r = maple('map','int',f,[x.s '=' a.s '..' b.s]); +end + +if ~isempty(findstr('int(',char(r))) + for k = 1:prod(size(r)); + rc = char(r(k)); + if length(rc) >= 4 & isequal(rc(1:4),'int(') + warning('Explicit integral could not be found.') + end + end +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/ODE45.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/ODE45.M" index bcaef47fa0439ee79b2445c6760d2716c7ba2796..8135794108ddf70d83bee0d5e32e015995e7ff89 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/ODE45.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/ODE45.M" @@ -1,3 +1,567 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:8f7d0e056c15c81d6ea9d6ae90c2f26a3ca065598c2594f753eab8d77f1b5f1a -size 19036 +function [tout,yout,varargout] = ode45(odefile,tspan,y0,options,varargin) +%[tout,yout] = ode45('ypfun', tspan, y0, options) +%这里字符串ypfun是用以表示f(t, y)的M文件名, +%tspan=[t0, tfinal]表示自变量初值t0和终值tf +% y0表示初值向量y0,可选参数options为用odeset设置精度等参数。 +% 输出列向量tout表示节点 (t0 , t1 , … , tn)' +% 输出矩阵yout 表示数值解,每一列对应y的一个分量 +% 若无输出参数,则作出图形。 +%例 解微分方程 +% y' = y-2t/y, y(0)=1, 0 0 + outfun = odeget(options,'OutputFcn'); +else + outfun = odeget(options,'OutputFcn','odeplot'); +end +if isempty(outfun) + haveoutfun = false; +else + haveoutfun = true; + outputs = odeget(options,'OutputSel',1:neq); +end +refine = odeget(options,'Refine',4); % Necessary for smooth plots. +printstats = strcmp(odeget(options,'Stats','off'),'on'); + +if strcmp(odeget(options,'Mass','off'),'on') | ... + strcmp(odeget(options,'MassConstant','off'),'on') + error(['Solver does not handle mass matrices, M*y'' or M(t)*y''. '... + 'See ODE15S, ODE23S, ODE23T, or ODE23TB.']); +end + +% Set the output flag. +if ntspan > 2 + outflag = 1; % output only at tspan points +elseif refine <= 1 + outflag = 2; % computed points, no refinement +else + outflag = 3; % computed points, with refinement + S = (1:refine-1)' / refine; +end + +% Allocate memory if we're generating output. +if nargout > 0 + if ntspan > 2 % output only at tspan points + tout = zeros(ntspan,1); + yout = zeros(ntspan,neq); + else % alloc in chunks + chunk = max(ceil(128 / neq),refine); + tout = zeros(chunk,1); + yout = zeros(chunk,neq); + end + nout = 1; + tout(nout) = t; + yout(nout,:) = y.'; +end + +% Initialize method parameters. +pow = 1/5; +A = [1/5; 3/10; 4/5; 8/9; 1; 1]; +B = [ + 1/5 3/40 44/45 19372/6561 9017/3168 35/384 + 0 9/40 -56/15 -25360/2187 -355/33 0 + 0 0 32/9 64448/6561 46732/5247 500/1113 + 0 0 0 -212/729 49/176 125/192 + 0 0 0 0 -5103/18656 -2187/6784 + 0 0 0 0 0 11/84 + 0 0 0 0 0 0 + ]; +E = [71/57600; 0; -71/16695; 71/1920; -17253/339200; 22/525; -1/40]; +f = zeros(neq,7); + +% The input arguments of odefile determine the args to use to evaluate f. +if nargin(odefile) == 2 + args = {}; % odefile accepts only (t,y) +else + args = [{''} varargin]; % use (t,y,'',p1,p2,...) +end + +f0 = feval(odefile,t,y,args{:}); +nfevals = nfevals + 1; % stats +[m,n] = size(f0); +if n > 1 + error([upper(odefile) ' must return a column vector.']) +elseif m ~= neq + msg = sprintf('an initial condition vector of length %d.',m); + error(['Solving ' upper(odefile) ' requires ' msg]); +end + +hmin = 16*eps*abs(t); +if isempty(htry) + % Compute an initial step size h using y'(t). + absh = min(hmax, abs(tspan(next) - t)); + if normcontrol + rh = (norm(f0) / max(normy,threshold)) / (0.8 * rtol^pow); + else + rh = norm(f0 ./ max(abs(y),threshold),inf) / (0.8 * rtol^pow); + end + if absh * rh > 1 + absh = 1 / rh; + end + absh = max(absh, hmin); +else + absh = min(hmax, max(hmin, htry)); +end +f(:,1) = f0; + +% Initialize the output function. +if haveoutfun + feval(outfun,[t tfinal],y(outputs),'init'); +end + +% THE MAIN LOOP + +done = false; +while ~done + + % By default, hmin is a small number such that t+hmin is only slightly + % different than t. It might be 0 if t is 0. + hmin = 16*eps*abs(t); + absh = min(hmax, max(hmin, absh)); % couldn't limit absh until new hmin + h = tdir * absh; + + % Stretch the step if within 10% of tfinal-t. + if 1.1*absh >= abs(tfinal - t) + h = tfinal - t; + absh = abs(h); + done = true; + end + + % LOOP FOR ADVANCING ONE STEP. + nofailed = true; % no failed attempts + while true + hA = h * A; + hB = h * B; + f(:,2) = feval(odefile, t + hA(1), y + f*hB(:,1), args{:}); + f(:,3) = feval(odefile, t + hA(2), y + f*hB(:,2), args{:}); + f(:,4) = feval(odefile, t + hA(3), y + f*hB(:,3), args{:}); + f(:,5) = feval(odefile, t + hA(4), y + f*hB(:,4), args{:}); + f(:,6) = feval(odefile, t + hA(5), y + f*hB(:,5), args{:}); + tnew = t + hA(6); + ynew = y + f*hB(:,6); + f(:,7) = feval(odefile, tnew, ynew, args{:}); + nfevals = nfevals + 6; % stats + + % Estimate the error. + if normcontrol + normynew = norm(ynew); + err = absh * (norm(f * E) / max(max(normy,normynew),threshold)); + else + err = absh * norm((f * E) ./ max(max(abs(y),abs(ynew)),threshold),inf); + end + + % Accept the solution only if the weighted error is no more than the + % tolerance rtol. Estimate an h that will yield an error of rtol on + % the next step or the next try at taking this step, as the case may be, + % and use 0.8 of this value to avoid failures. + if err > rtol % Failed step + nfailed = nfailed + 1; % stats + if absh <= hmin + msg = sprintf(['Failure at t=%e. Unable to meet integration ' ... + 'tolerances without reducing the step size below ' ... + 'the smallest value allowed (%e) at time t.\n'],t,hmin); + warning(msg); + if haveoutfun + feval(outfun,[],[],'done'); + end + if printstats % print cost statistics + fprintf('%g successful steps\n', nsteps); + fprintf('%g failed attempts\n', nfailed); + fprintf('%g function evaluations\n', nfevals); + fprintf('%g partial derivatives\n', npds); + fprintf('%g LU decompositions\n', ndecomps); + fprintf('%g solutions of linear systems\n', nsolves); + end + if nargout > 0 + tout = tout(1:nout); + yout = yout(1:nout,:); + if haveeventfun + varargout{1} = teout; + varargout{2} = yeout; + varargout{3} = ieout; + varargout{4} = [nsteps; nfailed; nfevals; npds; ndecomps; nsolves]; + else + varargout{1} = [nsteps; nfailed; nfevals; npds; ndecomps; nsolves]; + end + end + return; + end + + if nofailed + nofailed = false; + absh = max(hmin, absh * max(0.1, 0.8*(rtol/err)^pow)); + else + absh = max(hmin, 0.5 * absh); + end + h = tdir * absh; + done = false; + + else % Successful step + break; + + end + end + nsteps = nsteps + 1; % stats + + if haveeventfun + [te,ye,ie,valt,stop] = ... + odezero('ntrp45',odefile,valt,t,y,tnew,ynew,t0,varargin,h,f); + nte = length(te); + if nte > 0 + if nargout > 2 + teout = [teout; te]; + yeout = [yeout; ye.']; + ieout = [ieout; ie]; + end + if stop % stop on a terminal event + tnew = te(nte); + ynew = ye(:,nte); + done = true; + end + end + end + + if nargout > 0 + oldnout = nout; + if outflag == 3 % computed points, with refinement + nout = nout + refine; + if nout > length(tout) + tout = [tout; zeros(chunk,1)]; % requires chunk >= refine + yout = [yout; zeros(chunk,neq)]; + end + i = oldnout+1:nout-1; + tout(i) = t + (tnew-t)*S; + yout(i,:) = ntrp45(tout(i),t,y,[],[],h,f).'; + tout(nout) = tnew; + yout(nout,:) = ynew.'; + elseif outflag == 2 % computed points, no refinement + nout = nout + 1; + if nout > length(tout) + tout = [tout; zeros(chunk,1)]; + yout = [yout; zeros(chunk,neq)]; + end + tout(nout) = tnew; + yout(nout,:) = ynew.'; + elseif outflag == 1 % output only at tspan points + while next <= ntspan + if tdir * (tnew - tspan(next)) < 0 + if haveeventfun & done + nout = nout + 1; + tout(nout) = tnew; + yout(nout,:) = ynew.'; + end + break; + elseif tnew == tspan(next) + nout = nout + 1; + tout(nout) = tnew; + yout(nout,:) = ynew.'; + next = next + 1; + break; + end + nout = nout + 1; % tout and yout are already allocated + tout(nout) = tspan(next); + yout(nout,:) = ntrp45(tspan(next),t,y,[],[],h,f).'; + next = next + 1; + end + end + + if haveoutfun + i = oldnout+1:nout; + if ~isempty(i) & (feval(outfun,tout(i),yout(i,outputs).') == 1) + tout = tout(1:nout); + yout = yout(1:nout,:); + if haveeventfun + varargout{1} = teout; + varargout{2} = yeout; + varargout{3} = ieout; + varargout{4} = [nsteps; nfailed; nfevals; npds; ndecomps; nsolves]; + else + varargout{1} = [nsteps; nfailed; nfevals; npds; ndecomps; nsolves]; + end + return; + end + end + + elseif haveoutfun + if outflag == 3 % computed points, with refinement + tinterp = t + (tnew-t)*S; + yinterp = ntrp45(tinterp,t,y,[],[],h,f); + if feval(outfun,[tinterp; tnew],[yinterp(outputs,:), ynew(outputs)]) == 1 + return; + end + elseif outflag == 2 + if feval(outfun,tnew,ynew(outputs)) == 1 + return; + end + elseif outflag == 1 % output only at tspan points + ninterp = 0; + while next <= ntspan + if tdir * (tnew - tspan(next)) < 0 + if haveeventfun & done + ninterp = ninterp + 1; + tinterp(ninterp,1) = tnew; + yinterp(:,ninterp) = ynew; + end + break; + elseif tnew == tspan(next) + ninterp = ninterp + 1; + tinterp(ninterp,1) = tnew; + yinterp(:,ninterp) = ynew; + next = next + 1; + break; + end + ninterp = ninterp + 1; + tinterp(ninterp,1) = tspan(next); + yinterp(:,ninterp) = ntrp45(tspan(next),t,y,[],[],h,f); + next = next + 1; + end + if ninterp > 0 + if feval(outfun,tinterp(1:ninterp),yinterp(outputs,1:ninterp)) == 1 + return; + end + end + end + end + + % If there were no failures compute a new h. + if nofailed + % Note that absh may shrink by 0.8, and that err may be 0. + temp = 1.25*(err/rtol)^pow; + if temp > 0.2 + absh = absh / temp; + else + absh = 5.0*absh; + end + end + + % Advance the integration one step. + t = tnew; + y = ynew; + if normcontrol + normy = normynew; + end + f(:,1) = f(:,7); % Already evaluated odefile(tnew,ynew) + +end + +if haveoutfun + feval(outfun,[],[],'done'); +end + +if printstats % print cost statistics + fprintf('%g successful steps\n', nsteps); + fprintf('%g failed attempts\n', nfailed); + fprintf('%g function evaluations\n', nfevals); + fprintf('%g partial derivatives\n', npds); + fprintf('%g LU decompositions\n', ndecomps); + fprintf('%g solutions of linear systems\n', nsolves); +end + +if nargout > 0 + tout = tout(1:nout); + yout = yout(1:nout,:); + if haveeventfun + varargout{1} = teout; + varargout{2} = yeout; + varargout{3} = ieout; + varargout{4} = [nsteps; nfailed; nfevals; npds; ndecomps; nsolves]; + else + varargout{1} = [nsteps; nfailed; nfevals; npds; ndecomps; nsolves]; + end +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/POLYINT.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/POLYINT.M" index c06ff4ff40a7b98d7c6958d630a0def190eab9cf..283c6c650866f57bc85f1452c7224adaece717a3 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/POLYINT.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/POLYINT.M" @@ -1,3 +1,14 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:1ba0e0ff32b5f5242e84024738236f9a554ce0b50eaa14a45d41d3b0f0675419 -size 300 + function q = polyint(p,a,b) + %POLYINT 多项式积分快速算法 + %polyint(p)返回多项式p的不定积分,常数项用0; + %polyint(p,a,b) 返回多项式p在[a,b]的定积分. + + %by L.J. Hu 1999 + + p=p(:)'; + n=length(p); + q=p./[n:-1:1]; + q=[q,0]; + if nargin>2, + q=polyval(q,b)-polyval(q,a); + end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/QUAD2DG.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/QUAD2DG.M" index 168cfb8342dc4ff4698f0576f68bb0b714bc3384..89b7fef61419029cfe83964983e72064bf248396 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/QUAD2DG.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/QUAD2DG.M" @@ -1,3 +1,140 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e451d1f76fd5ac72919d1b54767c6cc62cb50360748e947a096e37220a352d0f -size 4843 +function [int, tol1,k] = quad2dg(fun,xlow,xhigh,ylow,yhigh,tol,p1,p2,p3,p4,p5,p6,p7,p8,p9) +%矩形区域GAUSS积分法 +%用法: int = quad2dg('Fun',xlow,xhigh,ylow,yhigh) +% +% int -- 积分值 +% Fun -- 二元被积函数Fun(x,y) +% xlow -- x 下限 +% xhigh -- x 上限 +% ylow -- y 下限 +% yhigh -- y 上限 +% +%usage: [int tol] = quad2dg('Fun',xlow,xhigh,ylow,yhigh) +%or +% [int tol] = quad2dg('Fun',xlow,xhigh,ylow,yhigh,reltol,p1,p2,...) +% +%This function is similar to QUAD or QUAD8 for 2-dimensional integration, +%but it uses a Gaussian quadrature integration scheme. +% int -- value of the integral +% tol -- absolute tolerance abs( int-intold) +% Fun -- Fun(x,y) (function to be integrated) +% xlow -- lower x limit of integration +% xhigh -- upper x limit of integration +% ylow -- lower y limit of integration +% yhigh -- upper y limit of integration +% reltol -- relative tolerance parameter (optional) +%Note that if there are discontinuities the region of integration +%should be broken up into separate pieces. And if there are singularities, +%a more appropriate integration quadrature should be used +%(such as the Gauss-Chebyshev for a specific type of singularity). +% +%modified by Per A. Brodtkorb 17.11.98 : +% -accept multiple integrations limits +% -optimized by saving the weights as global constants and only +% computing the integrals which did not converge +% -enabled the integration of directly given functions enclosed in +% parenthesis +% +%Example: integration from 0 to 2 and from 2 to 4 for both x and y is done by: +% +% quad2dg('(x.^2.*y)',[0 2],[2 4],[0 2],[2 4]) +% + +global bpx2 bpy2 wfxy2; + + +if isempty(bpx2)| isempty(bpy2)| isempty(wfxy2) + [bpx2,bpy2,wfxy2] = grule2d(2,2); +end + + +if exist('tol')~=1, + tol=1e-3; +elseif isempty(tol), + tol=1e-3; +end +[errorcode ,xlow,xhigh,ylow,yhigh]=distchck(4,xlow,xhigh,ylow,yhigh); +if errorcode > 0 + error('Requires non-scalar arguments to match in size.'); +end +%size(xlow),size(xhigh), size(ylow),size(yhigh) +%if prod(size(xlow))==1, +% xlow=xlow(ones(size(xhigh)));; +%elseif prod(size(xhigh))==1, +% xhigh=xhigh(ones(size(xlow)));; +%elseif any( size(xhigh)~=size(xlow) ) +% error('The input must have equal size!') +%end + + +[N M]=size(xlow); +%setup mapping parameters & make sure they all are column vectors +xlow=xlow(:); xhigh=xhigh(:);ylow=ylow(:);yhigh=yhigh(:); +nk=N*M; + + +%Map to x +qx=(xhigh-xlow)/2; +px=(xhigh+xlow)/2; +x=permute(qx(:,ones(1,2), ones(1,2) ),[ 2 3 1]).*bpx2(:,:,ones(1,nk)) ... + +permute(px(:,ones(1,2), ones(1,2) ),[2 3 1]); +%Map to y +qy=(yhigh-ylow)/2; +py=(yhigh+ylow)/2; +y=permute(qy(:,ones(1,2), ones(1,2) ),[ 2 3 1]).*bpy2(:,:,ones(1,nk)) ... + +permute(py(:,ones(1,2), ones(1,2) ),[2 3 1]); + + +if any(fun=='(') & any(fun=='y')& any(fun=='x'), + exec_string=['fv=', fun, ';']; %the call function is already setup +else%set up the call function + exec_string=['fv=', fun, ' (x,y']; + num_parameters=nargin-6; + for i=1:num_parameters, + exec_string=[exec_string,',p',int2str(i)]; + end + exec_string=[exec_string,');']; +end +eval(exec_string); +int_old = squeeze(sum(sum(wfxy2(:,:,ones(1,nk)).*fv))).*qx.*qy; +int=zeros(size(int_old));tol1=int; +k=1:nk; + + +% Break out of the iteration loop for three reasons: +% 1) the last update is very small (compared to int) +% 2) the last update is very small (compared to tol) +% 3) There are more than 8 iterations. This should NEVER happen. + + +converge='n'; +for i=1:8, + gnum=int2str(2^(i+1)); + eval(['global bpx',gnum,' wfxy',gnum,' bpy',gnum,';']); + if isempty(eval(['bpx',gnum]))| isempty(eval(['bpy',gnum])) , + eval(['[bpx',gnum,',bpy',gnum,',wfxy',gnum,']=grule2d(',gnum,',', gnum,');']); + end + eval(['x=permute(qx(k,ones(1,',gnum,'), ones(1,',gnum,') ),[ 2 3 1]).*bpx',gnum,'(:,:,ones(1,nk)) +permute(px(k,ones(1,',gnum,'), ones(1,',gnum,') ),[2 3 1]);']); + + + eval(['y=permute(qy(k,ones(1,',gnum,'), ones(1,',gnum,') ),[ 2 3 1]).*bpy',gnum,'(:,:,ones(1,nk)) +permute(py(k,ones(1,',gnum,'), ones(1,',gnum,') ),[2 3 1]);']); + eval(exec_string); + eval(['int(k) = squeeze(sum(sum((wfxy',gnum,'(:,:,ones(1,nk)).*fv)))).*qx(k).*qy(k);']); + tol1(k)=abs(int_old(k)-int(k)); % absolute tolerance + k=find(tol1 > abs(tol*int)|tol1 > abs(tol));%indices to integrals which did not converge + + if any(k), % compute integrals again + nk=length(k);%# of integrals we have to compute again + else + converge='y'; + break; + end + + int_old(k)=int(k); +end +int=reshape(int,[N M]); % reshape int to the same size as input arguments +if converge=='n', + disp('Integral did not converge--singularity likely') +end + + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/QUAD8.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/QUAD8.M" index b9a8cdc47ec2c8008116d0249875105cb93657d0..b5d10695f5147bde797b54d56f18a0bdd35d93d6 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/QUAD8.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/QUAD8.M" @@ -1,3 +1,148 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5776ae8718b8e9216c46ffd243823282702ba9d63c7db350f5d43d14213e5aab -size 5084 +function [Q,cnt] = quad8(funfcn,a,b,tol,trace,varargin) +%数值积分 +%z=quad8('Fun',A,B,Tol,trace,p1,p2,L) +% 其中:"Fun"-表示被积函数的M函数名. +% A,B-上﹑下限. +% Tol-精度,缺省值为1e-3. +% trace-非零时显示计算过程,缺省值为0. +% p1,p2,L-参变量,一般缺省. +%例如求 exp(-x^2)在[-1,1]积分 +% 先写M函数quadeg3fun.m +% function y=quadeg3fun(x) +% y=exp(-x.^2); +% 用 +% z=quad8('quadeg3fun',-1,1) +% +%QUAD8 Numerically evaluate integral, higher order method. +% Q = QUAD8('F',A,B) approximates the integral of F(X) from A to B to +% within a relative error of 1e-3 using an adaptive recursive Newton +% Cotes 8 panel rule. 'F' is a string containing the name of the +% function. The function must return a vector of output values if +% given a vector of input values. Q = Inf is returned if an excessive +% recursion level is reached, indicating a possibly singular integral. +% +% Q = QUAD8('F',A,B,TOL) integrates to a relative error of TOL. Use +% a two element tolerance, TOL = [rel_tol abs_tol], to specify a +% combination of relative and absolute error. +% +% Q = QUAD8('F',A,B,TOL,TRACE) integrates to a relative error of TOL and +% for non-zero TRACE traces the function evaluations with a point plot +% of the integrand. +% +% Q = QUAD8('F',A,B,TOL,TRACE,P1,P2,...) allows coefficients P1, P2, ... +% to be passed directly to function F: G = F(X,P1,P2,...). +% To use default values for TOL or TRACE, you may pass in the empty +% matrix ([]). +% +% See also QUAD, DBLQUAD. + +% Cleve Moler, 5-08-88. +% Copyright (c) 1984-98 by The MathWorks, Inc. +% $Revision: 5.16 $ $Date: 1997/11/21 23:31:14 $ + +% [Q,cnt] = quad8(F,a,b,tol) also returns a function evaluation count. + +if nargin < 4, tol = [1.e-3 0]; trace = 0; end +if nargin < 5, trace = 0; end +if isempty(tol), tol = [1.e-3 0]; end +if length(tol)==1, tol = [tol 0]; end +if isempty(trace), trace = 0; end +% QUAD8 usually does better than the default 1e-3. +h = b - a; + +% Top level initialization, Newton-Cotes weights +w = [3956 23552 -3712 41984 -18160 41984 -3712 23552 3956]/14175; +x = a + (0:8)*(b-a)/8; +y = feval(funfcn,x,varargin{:}); + +yllow = min([min(real(y)) min(imag(y))]); +ylhi = max([max(real(y)) max(imag(y))]); +lims = [min(x) max(x) yllow ylhi]; +ind = find(~isfinite(lims)); +if ~isempty(ind) + [mind,nind] = size(ind); + lims(ind) = 1.e30*(-ones(mind,nind) .^ rem(ind,2)); +end +if trace + axis(lims); +% doesn't take care of complex case + plot([a b],[real(y(1)) real(y(9))],'.'), hold on + if ~isreal(y) + plot([a b],[imag(y(1)) imag(y(9))],'+') + end + drawnow +end +lev = 1; + +% Adaptive, recursive Newton-Cotes 8 panel quadrature +if ~isreal(y) + Q0 = 1e30; +else + Q0 = inf; +end +recur_lev_excess = 0; +[Q,cnt,recur_lev_excess] = quad8stp(funfcn,a,b,tol,lev,w,x,y,Q0,trace,recur_lev_excess,varargin{:}); +cnt = cnt + 9; +if trace + hold off + axis('auto'); +end +if (recur_lev_excess > 1) + warning(sprintf('Recursion level limit reached %d times.', ... + recur_lev_excess )) +end + +%------------------------------------------------------------------ +function [Q,cnt,recur_lev_excess] = quad8stp(FunFcn,a,b,tol,lev,w,x0,f0,Q0,trace,recur_lev_excess,varargin) +%QUAD8STP Recursive function used by QUAD8. +% [Q,cnt] = quad8stp(F,a,b,tol,lev,w,f,Q0) tries to approximate +% the integral of f(x) from a to b to within a relative error of tol. +% F is a string containing the name of f. The remaining arguments are +% generated by quad8 or by the recursion. lev is the recursion level. +% w is the weights in the 8 panel Newton Cotes formula. +% x0 is a vector of 9 equally spaced abscissa is the interval. +% f0 is a vector of the 9 function values at x. +% Q0 is an approximate value of the integral. +% See also QUAD8 and QUAD. + +% Cleve Moler, 5-08-88. + +LEVMAX = 10; + +% Evaluate function at midpoints of left and right half intervals. +x = zeros(1,17); +f = zeros(1,17); +x(1:2:17) = x0; +f(1:2:17) = f0; +x(2:2:16) = (x0(1:8) + x0(2:9))/2; +f(2:2:16) = feval(FunFcn,x(2:2:16),varargin{:}); +if trace + plot(x(2:2:16),f(2:2:16),'.'); + if ~isreal(f) + plot(x(2:2:16),imag(f(2:2:16)),'+'); + end + drawnow +end +cnt = 8; + +% Integrate over half intervals. +h = (b-a)/16; +Q1 = h*w*f(1:9).'; +Q2 = h*w*f(9:17).'; +Q = Q1 + Q2; + +% Recursively refine approximations. +if (abs(Q - Q0) > tol(1)*abs(Q)+tol(2)) & (lev <= LEVMAX) + c = (a+b)/2; + [Q1,cnt1,recur_lev_excess] = quad8stp(FunFcn,a,c,tol/2,lev+1,w,x(1:9),f(1:9),Q1,trace,recur_lev_excess,varargin{:}); + [Q2,cnt2,recur_lev_excess] = quad8stp(FunFcn,c,b,tol/2,lev+1,w,x(9:17),f(9:17),Q2,trace,recur_lev_excess,varargin{:}); + Q = Q1 + Q2; + cnt = cnt + cnt1 + cnt2; +elseif (lev > LEVMAX) + if ~recur_lev_excess + warning('Recursion level limit reached in quad8. Singularity likely.') + recur_lev_excess = 1; + else + recur_lev_excess = recur_lev_excess + 1; + end +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/QUADG.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/QUADG.M" index 0e1057df4b27c30f504395480acc9fe1729b0594..6e567aac147521193fc37dd07909174c4b8963a2 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/QUADG.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/QUADG.M" @@ -1,3 +1,156 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:cf765ff5101649d2ae6be8edebe5028c6c938f1d0bcad6109d8fd89adc7aa80d -size 4707 +function [int, tol1,ix]= quadg(fun,xlow,xhigh,tol,trace,p1,p2,p3,p4,p5,p6,p7,p8,p9) +%GAUSS积分法 +%用法: int = quadg('Fun',xlow,xhigh) +% +% int -- 积分值 +% Fun -- 被积函数Fun(x) (函数名或字符串) +% xlow -- x 下限 +% xhigh -- x 上限 +% +%usage: int = quadg('Fun',xlow,xhigh) +%or +% [int,tol] = quadg('Fun',xlow,xhigh,reltol) +%or +% [int, tol] = quadg('Fun',xlow,xhigh,reltol,trace,p1,p2,....) +% +% reltol=relative tolerance default=1e-3 +% tol = absolute tolerance abs(int-intold) +% +%This function works just like QUAD or QUAD8 but uses a Gaussian quadrature +%integration scheme. Use this routine instead of QUAD or QUAD8: +% +% if higher accuracy is desired (this works best if the function, +% 'Fun', can be approximated by a power series) +% +% if many similar integrations are going to be done +% (I think less function evaluations will typically be done, +% but the integration points and the weights must be calculated. +% These are saved between integrations so when QUADG is called +% again, the points and weights are all ready known.) +% +% if the function evaluations are time consuming. +% +%Note that if there are discontinuities the integral should be broken up into separate +%pieces. And if there are singularities, a more appropriate integration quadrature +%should be used (such as the Gauss-Chebyshev). +% +% modified by Per A. Brodtkorb 17.11.98 : +% -accept multiple integrationlimits +% -optimized by only computing the integrals which did not converge. +% -enabled the integration of directly given functions enclosed in +% parenthesis. Example: integration from 0 to 2 and from 2 to 4 for x is done by: +% +% quadg('(x.^2)',[0 2],[2 4]) +% +global b2 +global w2 + + +if exist('tol')~=1, + tol=1e-3; +elseif isempty(tol), + tol=1e-3; +end +if exist('trace')~=1, + trace=0; +elseif isempty(trace), + trace=0; +else, + trace=1; +end + + +if prod(size(xlow))==1,% make sure the integration limits have correct size + xlow=xlow(ones(size(xhigh)));; +elseif prod(size(xhigh))==1, + xhigh=xhigh(ones(size(xlow)));; +elseif any( size(xhigh)~=size(xlow) ) + error('The input must have equal size!') +end + + +if any(fun=='(') & any(fun=='x'), + exec_string=['y=',fun ';']; %the call function is already setup +else + %setup string to call the function + exec_string=['y=',fun,'(x']; + num_parameters=nargin-5; + for i=1:num_parameters, + %if exist('p1') ~=1, + xvar=['p' int2str(i)]; % variable # i + if eval(['~ischar(' ,xvar,') &all(size(xlow)==size(' xvar,')) & length(',xvar,'(:)) ~=1' ]) , + eval([xvar, '=' ,xvar ,'(:);']); %make sure it is a column + exec_string=[exec_string,',' xvar '(k,ones(1,gn) )']; %enable integration with multiple arguments + else + exec_string=[exec_string,',' xvar]; + end + end + exec_string=[exec_string,');']; +end +[N M]=size(xlow); +%setup mapping parameters +xlow=xlow(:); +jacob=(xhigh(:)-xlow(:))/2; +nk=N*M;%length of jacob +k=1:nk; +%generate the first two sets of integration points and weights +if isempty(b2), + [b2 w2]=grule(2); +end +gn=2; +x=(b2(ones(nk,1),:)+1).*jacob(k,ones(1,gn))+xlow(k,ones(1,gn)); +eval(exec_string); +%size(x),size(y),size(w2) +int_old=sum(w2(ones(nk,1),:).*y,2).*jacob; +int=int_old;tol1=int; +if trace==1, + x_trace=x(:); + y_trace=y(:); +end + + +% Break out of the iteration loop for three reasons: +% 1) the last update is very small (compared to int and compared to tol) +% 2) There are more than 10 iterations. This should NEVER happen. + + +converge='n'; +for i=1:10, + gn=2^(i+1); + gntxt=int2str(gn);% # of weights + eval(['global b',gntxt,' w',gntxt,';']); + if isempty(eval(['b',gntxt])) , % calculate the weights if necessary + eval(['[b',gntxt,',w',gntxt,']=grule(',gntxt,');']); + end + eval(['x=(b',gntxt,'(ones(nk,1),:)+1).*jacob(k,ones(1, gn ))+xlow(k,ones(1,gn ));']); + eval(exec_string); + eval(['int(k)=sum(w',gntxt,'(ones(nk,1),:).*y,2).*jacob(k);']); + + + if trace==1, + x_trace=[x_trace;x(:)]; + y_trace=[y_trace;y(:)]; + end + tol1(k)=abs(int_old(k)-int(k)); %absolute tolerance + k=find(tol1 > abs(tol*int)| tol1 > abs(tol));%indices to integrals which did not converge + + if any(k),% compute integrals again + nk=length(k);%# of integrals we have to compute again + else + converge='y'; + break; + end + int_old=int; +end +int=reshape(int,N,M); % make sure int is the same size as the integration limits +tol1=reshape(tol1,N,M); + + +if converge=='n', + disp('Integral did not converge--singularity likely') +end + + +if trace==1, + plot(x_trace,y_trace,'+') +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/RK4.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/RK4.M" index 5b86f9250dc372deff92d29e15b0a9452a6ffd98..824f1cc07f2877277fe9251e1a349d91cc6e2a4a 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/RK4.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\345\276\256\347\247\257\345\210\206\345\222\214\345\276\256\345\210\206\346\226\271\347\250\213/RK4.M" @@ -1,3 +1,52 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5603a8452acabc777ad3aa4d82f7cafc57ee80242c1fad992f7b4b6249fd2fb4 -size 1724 +function [tout, yout] = rk4(ypfun, tspan, y0, h) +%定步长四阶Runge-Kutta法求常微分方程数值解 +%[tout,yout] = rk4('ypfun', tspan, y0,h) +% 这里字符串ypfun是用以表示f(t, y)的M文件名, +% tspan=[t0, tfinal]表示自变量初值t0和终值tf +% y0表示初值向量y0,h是步长。 +% 输出列向量tout表示节点 (t0 , t1 , … , tn)' +% 输出矩阵yout 表示数值解,每一列对应y的一个分量 +%例 解微分方程 +% y' = y-2t/y, y(0)=1, 0=0 +% x+2*y+2*z<=72 +% 10<=y<=20 +% x-y=10 +% 先化为 +% min -x(1)*x(2)*x(3) +% x(1)-x(2)-10=0 +% x(1)-x(2)-2*x(3)<=0 +% x(1)+2*x(2)+2*x(3)-72<=0 +% 10<=x(2)<=20 +% 写M函数optfun2.m +% function [f,g]=optfun2(x) +% f=-x(1)*x(2)*x(3) +% g(1)=x(1)-x(2)-10; +% g(2)=x(1)-x(2)-2*x(3); +% g(3)=x(1)+2*x(2)+2*x(3)-72 +% 求解 +% x0=[10,10,10]; +% options(13)=1; +% [x,options]=constr('fun',x0,options,[-inf,10,-inf]',[inf,20,inf]); +% x,-options(8) +% +%CONSTR Finds the constrained minimum of a function of several variables. +% CONSTR has been replaced with FMINCON. CONSTR currently works but +% will be removed in the future. Use FMINCON instead. +% +% X=CONSTR('FUN',X0) starts at X0 and finds a constrained minimum to +% the function which is described in FUN (usually an M-file: FUN.M). +% The function 'FUN' should return two arguments: a scalar value of the +% function to be minimized, F, and a matrix of constraints, G: +% [F,G]=FUN(X). F is minimized such that G <= zeros(size(G)). +% +% X=CONSTR('FUN',X,OPTIONS) allows a vector of optional parameters to +% be defined. For more information type HELP FOPTIONS. +% +% X=CONSTR('FUN',X,OPTIONS,VLB,VUB) defines a set of lower and upper +% bounds on the design variables, X, so that the solution is always in +% the range VLB <= X <= VUB. +% +% X=CONSTR('FUN',X,OPTIONS,VLB,VUB,'GRADFUN') allows a function +% 'GRADFUN' to be entered which returns the partial derivatives of the +% function and the constraints at X: [gf,GC] = GRADFUN(X). +% Use OPTIONS(9)=1 to check analytic gradients in GRADFUN against +% numeric gradients during the first iteration. +% +% X=CONSTR('FUN',X,OPTIONS,VLB,VUB,'GRADFUN',P1,P2,...) passes the +% problem-dependent parameters P1,P2,... directly to the functions FUN +% and GRADFUN: FUN(X,P1,P2,...) and GRADFUN(X,P1,P2,...). Pass +% empty matrices for OPTIONS, VLB, VUB, and 'GRADFUN' to use the +% default values. +% +% [X,OPTIONS]=CONSTR('FUN',X0,...) returns the parameters used in the +% optimization method. For example, OPTIONS(10) contains the number +% of function evaluations used. +% +% [X,OPTIONS,LAMBDA]=CONSTR('FUN',X0,...) returns the Lagrange multipliers +% at the solution X in the vector LAMBDA. +% +% [X,OPTIONS,LAMBDA,HESS]=CONSTR('FUN',X0,...) returns the quasi-Newton +% approximation to the Hessian matrix at the solution X. +% +% Copyright (c) 1990-98 by The MathWorks, Inc. +% $Revision: 1.45 $ $Date: 1998/08/31 22:29:17 $ + +% +% X=CONSTR('FUN',X,OPTIONS,VLB,VUB,GRADFUN,P1,P2,..) allows +% extra parameters, P1, P2, ... to be passed directly to FUN: +% [F,G]=FUN(X,P1,P2,...). Empty arguments ([]) are ignored. + + +if nargin < 2, error('constr requires two input arguments'); end +if nargin < 3, OPTIONS=[]; end +if nargin < 4, VLB=[]; end +if nargin < 5, VUB=[]; end +if nargin < 6, GRADFUN=[]; end + +caller='constr'; +lenVarIn = length(varargin); + +% Convert to inline function as needed. +gradflag = 0; +[funfcn,msg] = prefcnchk(FUN,caller,lenVarIn,gradflag); +if ~isempty(msg) + error(msg); +end + +if ~isempty(GRADFUN) + gradflag = 1; + [gradfcn,msg] = prefcnchk(GRADFUN,caller,lenVarIn,gradflag); + if ~isempty(msg) + error(msg); + end +else + gradfcn = []; +end + +[x,OPTIONS,lambda,HESS]=nlconstold(funfcn,x,OPTIONS,VLB,VUB,gradfcn,varargin{:}); + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/FMIN.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/FMIN.M" index 164196b64f46c25c050cd3ca5078fb46e2eea40c..9ea16c0347b1203eb2f346440bd5667aa97848fd 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/FMIN.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/FMIN.M" @@ -1,3 +1,166 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:d384a65bc7f2638b3202c92ddab5eee0a317afa8d3085e32c989232581c0702f -size 5234 +function [xf,options] = fmin(funfcn,ax,bx,options,varargin) +%x=fmin('fun',a,b) 求一元函数y=f(x)在[a,b]内的局部极小值点。 +% 这里fun 可直接用字符串表示,也可以是m函数名。 +%x=fmin('fun',a,b,options)输入options是优化中算法参数向量设置, +% 用help foptions可看到各分量的含义。 +%x=fmin('fun',a,b,options,p1,p2,…) p1,p2,..是表示fun的M函数中的参数。 +%[x,options]=fmin('fun',a,b,…)输出options显示算法参数。 +%例题 求f(x)=x^3-x-1在[-1,1]内的极大值点。 +% 先写M函数optfun.m +% function f=optfun(x) +% f=-(x.^3-x-1); +% 求解 +% clear; +% [x,options]=fmin('optfun',-1,1); +% x,-options(8) + +%FMIN Minimize function of one variable. +% X = FMIN('F',x1,x2) attempts to return a value of x which is a local +% minimizer of F(x) in the interval x1 < x < x2. 'F' is a string +% containing the name of the objective function to be minimized. +% +% X = FMIN('F',x1,x2,OPTIONS) uses a vector of control parameters. +% If OPTIONS(1) is positive, intermediate steps in the solution are +% displayed; the default is OPTIONS(1) = 0. OPTIONS(2) is the termination +% tolerance for x; the default is 1.e-4. OPTIONS(14) is the maximum +% number of function evaluations; the default is OPTIONS(14) = 500. +% The other components of OPTIONS are not used as input control +% parameters by FMIN. For more information, see FOPTIONS. +% +% X = FMIN('F',x1,x2,OPTIONS,P1,P2,...) provides for additional +% arguments which are passed to the objective function, F(X,P1,P2,...) +% +% [X,OPTIONS] = FMIN(...) returns a count of the number of steps +% taken in OPTIONS(10). +% +% Examples +% fmin('cos',3,4) computes pi to a few decimal places. +% fmin('cos',3,4,[1,1.e-12]) displays the steps taken +% to compute pi to about 12 decimal places. +% +% See also FMINS. + +% Reference: "Computer Methods for Mathematical Computations", +% Forsythe, Malcolm, and Moler, Prentice-Hall, 1976. + +% Original coding by Duane Hanselman, University of Maine. +% Copyright (c) 1984-98 by The MathWorks, Inc. +% $Revision: 5.14 $ $Date: 1997/11/21 23:30:43 $ + +% initialization +if nargin<4, options = []; end +options = foptions(options); +print = options(1); +tol = options(2); +if (~options(14)) + options(14) = 500; + end +if nargin < 3 + error('fmin requires three input arguments.') +end + +header = ' Func evals x f(x) Procedure'; +step=' initial'; + +% Convert to inline function as needed. +funfcn = fcnchk(funfcn,length(varargin)); + +num = 1; +seps = sqrt(eps); +c = 0.5*(3.0 - sqrt(5.0)); +a = ax; b = bx; +v = a + c*(b-a); +w = v; xf = v; +d = 0.0; e = 0.0; +x= xf; fx = feval(funfcn,x,varargin{:}); +fmin_data = [ 1 xf fx ]; +if print > 0 + disp(header) + disp([sprintf('%5.0f %12.6g %12.6g ',fmin_data), step]) +end +fv = fx; fw = fx; +xm = 0.5*(a+b); +tol1 = seps*abs(xf) + tol/3.0; tol2 = 2.0*tol1; + +% Main loop + +options(10) = 0; +while ( abs(xf-xm) > (tol2 - 0.5*(b-a)) ) + + num = num+1; + gs = 1; + + % Is a parabolic fit possible + if abs(e) > tol1 + % Yes, so fit parabola + gs = 0; + r = (xf-w)*(fx-fv); + q = (xf-v)*(fx-fw); + p = (xf-v)*q-(xf-w)*r; + q = 2.0*(q-r); + if q > 0.0, p = -p; end + q = abs(q); + r = e; e = d; + + % Is the parabola acceptable + if ( (abs(p)q*(a-xf)) & (p= xm, e = a-xf; else, e = b-xf; end + d = c*e; + step = ' golden'; + end + + % The function must not be evaluated too close to xf + si = sign(d) + (d == 0); + x = xf + si * max( abs(d), tol1 ); + fu = feval(funfcn,x,varargin{:}); + fmin_data = [num x fu]; + if print > 0 + disp([sprintf('%5.0f %12.6g %12.6g ',fmin_data), step]) + end + + % Update a, b, v, w, x, xm, tol1, tol2 + if fu <= fx + if x >= xf, a = xf; else, b = xf; end + v = w; fv = fw; + w = xf; fw = fx; + xf = x; fx = fu; + else % fu > fx + if x < xf, a = x; else,b = x; end + if ( (fu <= fw) | (w == xf) ) + v = w; fv = fw; + w = x; fw = fu; + elseif ( (fu <= fv) | (v == xf) | (v == w) ) + v = x; fv = fu; + end + end + xm = 0.5*(a+b); + tol1 = seps*abs(xf) + tol/3.0; tol2 = 2.0*tol1; + if num > options(14) + if options(1) >= 0 + disp('Warning: Maximum number of function evaluations has been'); + disp(' exceeded - increase options(14).') + options(10)=num; + return + end + end +end +options(8) = feval(funfcn,x,varargin{:}); +options(10)=num; diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/FMINCON.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/FMINCON.M" index 783dee0767c3ab1d2336c60bbabafbc23ae599e5..53c1c3861f2606da3982155c7702b1aaaa38a5e7 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/FMINCON.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/FMINCON.M" @@ -1,3 +1,723 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:89c5206d774118d0f32a8d586ed3df210ef44b3b4f34272ae53a54230498cccd -size 25676 +function [X,FVAL,EXITFLAG,OUTPUT,LAMBDA,GRAD,HESSIAN] = fmincon(FUN,X,A,B,Aeq,Beq,LB,UB,NONLCON,options,varargin) +%求解下列形式非线性规划问题: +% min f(x) s.t. Ax<= b, Aeqx=beq, +% c(x)<=0, ceq(x) = 0, lb<=x<=ub +%调用格式为: +% x=fmincon(fun, 初值,A,b,Aeq,beq,lb,ub,nonlcon) +% 此时当约束条件中缺A和b、Aeq和beq或lb和ub时, +% 相关项可用[ ]代替以表示省略。 +% fun写成如下的M-函数形式 (fun.m) : +% function f = fun (x) +% f = f(x); +% 非线性约束条件写成如下的M-函数形式 (nonlcon.m) : +% function [c,ceq]=nonlcon(x) +% c = c(x);ceq=ceq(x); +% 注意:方程变量必须拼成一个向量变量,即用x(1),x(2),... +% +%例题 +% max x*y*z +% -x+x*y+2*z>=0 +% x+2*y+2*z<=72 +% 10<=y<=20 +% x-y=10 +% 先化为 +% min -x(1)*x(2)*x(3) +% x(1)+2*x(2)+2*x(3)<=72 +% x(1)-x(2)=10 +% x(1)-x(1)*x(2)-2*x(3)<=0 +% 10<=x(2)<=20 +% 写M函数 fconfun.m +% function f=fconfun(x) +% f=-x(1)*x(2)*x(3) +% 再写M函数 fconfun2.m +% function [g,geq]=fconfun2(x) +% g=x(1)-x(1)*x(2)-2*x(3); +% geq=0; +% 求解 +% x0=[10,10,10]; +% A=[1 2 2];b=72; +% Aeq=[1 -1 0];beq=10; +% [x,f]=fmincon('fconfun',x0,A,b,Aeq,beq,[-inf,10,-inf]',[inf,20,inf],'fconfun2') +% +%FMINCON Finds the constrained minimum of a function of several variables. +% FMINCON solves problems of the form: +% min F(X) subject to: A*X <= B, Aeq*X = Beq (linear constraints) +% X C(X) <= 0, Ceq(X) = 0 (nonlinear constraints) +% LB <= X <= UB +% +% X=FMINCON(FUN,X0,A,B) starts at X0 and finds a minimum X to the function +% described in FUN, subject to the linear inequalities A*X <= B. X0 may be a +% scalar, vector or matrix. The function FUN (usually an M-file or inline object) +% should return a scalar function value F evaluated at X when called with +% feval: F=feval(FUN,X). +% +% X=FMINCON(FUN,X0,A,B,Aeq,Beq) minimizes FUN subject to the linear equalities +% Aeq*X = Beq as well as A*X <= B. (Set A=[] and B=[] if no inequalities exist.) +% +% X=FMINCON(FUN,X0,A,B,Aeq,Beq,LB,UB) defines a set of lower and upper +% bounds on the design variables, X, so that the solution is in +% the range LB <= X <= UB. Use empty matrices for LB and UB +% if no bounds exist. Set LB(i) = -Inf if X(i) is unbounded below; +% set UB(i) = Inf if X(i) is unbounded above. +% +% X=FMINCON(FUN,X0,A,B,Aeq,Beq,LB,UB,NONLCON) subjects the minimization to the +% constraints defined in NONLCON. The function NONLCON should return the vectors +% C and Ceq, representing the nonlinear inequalities and equalities respectively, +% when called with feval: [C, Ceq] = feval(NONLCON,X). FMINCON minimizes +% FUN such that C(X)<=0 and Ceq(X)=0. (Set LB=[] and/or UB=[] if no bounds exist.) +% +% X=FMINCON(FUN,X0,A,B,Aeq,Beq,LB,UB,NONLCON,OPTIONS) minimizes with the +% default optimization parameters replaced by values in the structure OPTIONS, +% an argument created with the OPTIMSET function. See OPTIMSET for details. Used +% options are Display, TolX, TolFun, TolCon, DerivativeCheck, Diagnostics, GradObj, +% GradConstr, Hessian, MaxFunEvals, MaxIter, DiffMinChange and DiffMaxChange, +% LargeScale, MaxPCGIter, PrecondBandWidth, TolPCG, TypicalX, HessPattern. +% Use the GradObj option to specify that FUN may be called with two output +% arguments where the second, G, is the partial derivatives of the +% function df/dX, at the point X: [F,G] = feval(FUN,X). Use the GradConstr +% option to specify that NONLCON may be called with four output arguments: +% [C,Ceq,GC,GCeq] = feval(NONLCON,X) where GC is the partial derivatives of the +% constraint vector of inequalities C an GCeq is the partial derivatives of the +% constraint vector of equalities Ceq. Use OPTIONS = [] as a place holder if +% no options are set. +% +% X=FMINCON(FUN,X0,A,B,Aeq,Beq,LB,UB,NONLCON,OPTIONS,P1,P2,...) passes the +% problem-dependent parameters P1,P2,... directly to the functions FUN +% and NONLCON: feval(FUN,X,P1,P2,...) and feval(NONLCON,X,P1,P2,...). Pass +% empty matrices for A, B, Aeq, Beq, OPTIONS, LB, UB, and NONLCON to use the +% default values. +% +% [X,FVAL]=FMINCON(FUN,X0,...) returns the value of the objective +% function FUN at the solution X. +% +% [X,FVAL,EXITFLAG]=FMINCON(FUN,X0,...) returns a string EXITFLAG that +% describes the exit condition of FMINCON. +% If EXITFLAG is: +% > 0 then FMINCON converged to a solution X. +% 0 then the maximum number of function evaluations was reached. +% < 0 then FMINCON did not converge to a solution. +% +% [X,FVAL,EXITFLAG,OUTPUT]=FMINCON(FUN,X0,...) returns a structure +% OUTPUT with the number of iterations taken in OUTPUT.iterations, the number +% of function evaluations in OUTPUT.funcCount, the algorithm used in +% OUTPUT.algorithm, the number of CG iterations (if used) in OUTPUT.cgiterations, +% and the first-order optimality (if used) in OUTPUT.firstorderopt. +% +% [X,FVAL,EXITFLAG,OUTPUT,LAMBDA]=FMINCON(FUN,X0,...) returns the Lagrange multipliers +% at the solution X: LAMBDA.lower for LB, LAMBDA.upper for UB, LAMBDA.ineqlin is +% for the linear inequalities, LAMBDA.eqlin is for the linear equalities, +% LAMBDA.ineqnonlin is for the nonlinear inequalities, and LAMBDA.eqnonlin +% is for the nonlinear equalities. +% +% [X,FVAL,EXITFLAG,OUTPUT,LAMBDA,GRAD]=FMINCON(FUN,X0,...) returns the value of +% the gradient of FUN at the solution X. +% +% [X,FVAL,EXITFLAG,OUTPUT,LAMBDA,GRAD,HESSIAN]=FMINCON(FUN,X0,...) returns the +% value of the HESSIAN of FUN at the solution X. +% +% See also OPTIMSET, FMINUNC, FMINBND, FMINSEARCH. + +% Copyright (c) 1990-98 by The MathWorks, Inc. +% $Revision: 1.19 $ $Date: 1998/10/22 20:11:07 $ + +defaultopt = optimset('display','final','LargeScale','on', ... + 'TolX',1e-6,'TolFun',1e-6,'TolCon',1e-6,'DerivativeCheck','off',... + 'Diagnostics','off',... + 'GradObj','off','GradConstr','off','Hessian','off','MaxFunEvals','100*numberOfVariables',... + 'DiffMaxChange',1e-1,'DiffMinChange',1e-8,... + 'PrecondBandWidth',0,'TypicalX','ones(numberOfVariables,1)','MaxPCGIter','max(1,floor(numberOfVariables/2))', ... + 'TolPCG',0.1,'MaxIter',400,'HessPattern',[]); +% If just 'defaults' passed in, return the default options in X +if nargin==1 & nargout <= 1 & isequal(FUN,'defaults') + X = defaultopt; + return +end + +large = 'large-scale'; +medium = 'medium-scale'; + +if nargin < 4, error('FMINCON requires at least four input arguments'); end +if nargin < 10, options=[]; + if nargin < 9, NONLCON=[]; + if nargin < 8, UB = []; + if nargin < 7, LB = []; + if nargin < 6, Beq=[]; + if nargin < 5, Aeq =[]; + end, end, end, end, end, end +if isempty(NONLCON) & isempty(A) & isempty(Aeq) & isempty(UB) & isempty(LB) + error('FMINCON is for constrained problems. Use FMINUNC for unconstrained problems.') +end + +if nargout > 4 + computeLambda = 1; +else + computeLambda = 0; +end + +caller='constr'; +lenVarIn = length(varargin); +XOUT=X(:); +numberOfVariables=length(XOUT); + +options = optimset(defaultopt,options); +switch optimget(options,'display') +case {'off','none'} + verbosity = 0; +case 'iter' + verbosity = 2; +case 'final' + verbosity = 1; +otherwise + verbosity = 1; +end + +% Set to column vectors +B = B(:); +Beq = Beq(:); + +[XOUT,l,u,msg] = checkbounds(XOUT,LB,UB,numberOfVariables); +if ~isempty(msg) + EXITFLAG = -1; + [FVAL,OUTPUT,LAMBDA,GRAD,HESSIAN] = deal([]); + X(:)=XOUT; + if verbosity > 0 + disp(msg) + end + return +end +lFinite = l(~isinf(l)); +uFinite = u(~isinf(u)); + + +meritFunctionType = 0; + +diagnostics = isequal(optimget(options,'diagnostics','off'),'on'); +gradflag = strcmp(optimget(options,'GradObj'),'on'); +hessflag = strcmp(optimget(options,'Hessian'),'on'); +if isempty(NONLCON) + constflag = 0; +else + constflag = 1; +end +gradconstflag = strcmp(optimget(options,'GradConstr'),'on'); +line_search = strcmp(optimget(options,'largescale','off'),'off'); % 0 means trust-region, 1 means line-search + +% Convert to inline function as needed +if ~isempty(FUN) % will detect empty string, empty matrix, empty cell array + [funfcn, msg] = fprefcnchk(FUN,'fmincon',length(varargin),gradflag,hessflag); +else + errmsg = sprintf('%s\n%s', ... + 'FUN must be a function name, valid string expression, or inline object;', ... + ' or, FUN may be a cell array that contains these type of objects.'); + error(errmsg) +end + +if constflag % NONLCON is non-empty + [confcn, msg] = fprefcnchk(NONLCON,'fmincon',length(varargin),gradconstflag,[],1); +else + confcn{1} = ''; +end + +[rowAeq,colAeq]=size(Aeq); +% if only l and u then call sfminbx +if ~line_search & isempty(NONLCON) & isempty(A) & isempty(Aeq) & gradflag + OUTPUT.algorithm = large; + % if only Aeq beq and Aeq has as many columns as rows, then call sfminle +elseif ~line_search & isempty(NONLCON) & isempty(A) & isempty(lFinite) & isempty(uFinite) & gradflag ... + & colAeq >= rowAeq + OUTPUT.algorithm = large; +elseif ~line_search + warning(['Trust region method does not currently solve this type of problem,',... + sprintf('\n'), 'switching to line search.']) + if isequal(funfcn{1},'fungradhess') + funfcn{1}='fungrad'; + warning('Hessian provided by user will be ignored in line search algorithm') + + elseif isequal(funfcn{1},'fun_then_grad_then_hess') + funfcn{1}='fun_then_grad'; + warning('Hessian provided by user will be ignored in line search algorithm') + end + hessflag = 0; + OUTPUT.algorithm = medium; +elseif line_search + OUTPUT.algorithm = medium; + if issparse(Aeq) | issparse(A) + warning('can not do sparse with line_search, converting to full') + end + + % else call nlconst +else + error('Unrecognized combination of OPTIONS flags and calling sequence.') +end + + +lenvlb=length(l); +lenvub=length(u); + +if isequal(OUTPUT.algorithm,medium) + CHG = 1e-7*abs(XOUT)+1e-7*ones(numberOfVariables,1); + i=1:lenvlb; + lindex = XOUT(i)u(i); + if any(uindex) + XOUT(uindex)=u(uindex); + CHG(uindex)=-CHG(uindex); + end + X(:) = XOUT; +else + arg = (u >= 1e10); arg2 = (l <= -1e10); + u(arg) = inf*ones(length(arg(arg>0)),1); + l(arg2) = -inf*ones(length(arg2(arg2>0)),1); + if min(min(u-XOUT),min(XOUT-l)) < 0, + XOUT = startx(u,l); + X(:) = XOUT; + end +end + +% Evaluate function +GRAD=zeros(numberOfVariables,1); +HESS = []; + +switch funfcn{1} +case 'fun' + try + f = feval(funfcn{3},X,varargin{:}); + catch + errmsg = sprintf('%s\n%s\n\n%s',... + 'FMINCON cannot continue because user supplied objective function', ... + ' failed with the following error:', lasterr); + error(errmsg); + end +case 'fungrad' + try + [f,GRAD(:)] = feval(funfcn{3},X,varargin{:}); + catch + errmsg = sprintf('%s\n%s\n\n%s',... + 'FMINCON cannot continue because user supplied objective function', ... + ' failed with the following error:', lasterr); + error(errmsg); + end +case 'fungradhess' + try + [f,GRAD(:),HESS] = feval(funfcn{3},X,varargin{:}); + catch + errmsg = sprintf('%s\n%s\n\n%s',... + 'FMINCON cannot continue because user supplied objective function', ... + ' failed with the following error:', lasterr); + error(errmsg); + end +case 'fun_then_grad' + try + f = feval(funfcn{3},X,varargin{:}); + catch + errmsg = sprintf('%s\n%s\n\n%s',... + 'FMINCON cannot continue because user supplied objective function', ... + ' failed with the following error:', lasterr); + error(errmsg); + end + try + GRAD(:) = feval(funfcn{4},X,varargin{:}); + catch + errmsg = sprintf('%s\n%s\n\n%s',... + 'FMINCON cannot continue because user supplied objective gradient function', ... + ' failed with the following error:', lasterr); + error(errmsg); + end +case 'fun_then_grad_then_hess' + try + f = feval(funfcn{3},X,varargin{:}); + catch + errmsg = sprintf('%s\n%s\n\n%s',... + 'FMINCON cannot continue because user supplied objective function', ... + ' failed with the following error:', lasterr); + error(errmsg); + end + try + GRAD(:) = feval(funfcn{4},X,varargin{:}); + catch + errmsg = sprintf('%s\n%s\n\n%s',... + 'FMINCON cannot continue because user supplied objective gradient function', ... + ' failed with the following error:', lasterr); + error(errmsg); + end + try + HESS = feval(funfcn{5},X,varargin{:}); + catch + errmsg = sprintf('%s\n%s\n\n%s',... + 'FMINCON cannot continue because user supplied objective Hessian function', ... + ' failed with the following error:', lasterr); + error(errmsg); + end +otherwise + error('Undefined calltype in FMINCON'); +end + +% Evaluate constraints +switch confcn{1} +case 'fun' + try + [ctmp,ceqtmp] = feval(confcn{3},X,varargin{:}); + c = ctmp(:); ceq = ceqtmp(:); + cGRAD = zeros(numberOfVariables,length(c)); + ceqGRAD = zeros(numberOfVariables,length(ceq)); + catch + if findstr(xlate('Too many output arguments'),lasterr) + if isa(confcn{3},'inline') + errmsg = sprintf('%s%s%s\n%s\n%s\n%s', ... + 'The inline function ',formula(confcn{3}),' representing the constraints',... + ' must return two outputs: the nonlinear inequality constraints and', ... + ' the nonlinear equality constraints. At this time, inline objects may',... + ' only return one output argument: use an M-file function instead.'); + else + errmsg = sprintf('%s%s%s\n%s%s', ... + 'The constraint function ',confcn{3},' must return two outputs:',... + ' the nonlinear inequality constraints and', ... + ' the nonlinear equality constraints.'); + end + error(errmsg) + else + errmsg = sprintf('%s\n%s\n\n%s',... + 'FMINCON cannot continue because user supplied nonlinear constraint function', ... + ' failed with the following error:', lasterr); + error(errmsg); + end + end + +case 'fungrad' + try + [ctmp,ceqtmp,cGRAD,ceqGRAD] = feval(confcn{3},X,varargin{:}); + c = ctmp(:); ceq = ceqtmp(:); + catch + errmsg = sprintf('%s\n%s\n\n%s',... + 'FMINCON cannot continue because user supplied nonlinear constraint function', ... + ' failed with the following error:', lasterr); + error(errmsg); + end +case 'fun_then_grad' + try + [ctmp,ceqtmp] = feval(confcn{3},X,varargin{:}); + c = ctmp(:); ceq = ceqtmp(:); + [cGRAD,ceqGRAD] = feval(confcn{4},X,varargin{:}); + catch + errmsg = sprintf('%s\n%s%s\n\n%s',... + 'FMINCON cannot continue because user supplied nonlinear constraint function', ... + 'or nonlinear constraint gradient function',... + ' failed with the following error:', lasterr); + error(errmsg); + end +case '' + c=[]; ceq =[]; + cGRAD = zeros(numberOfVariables,length(c)); + ceqGRAD = zeros(numberOfVariables,length(ceq)); +otherwise + error('Undefined calltype in FMINCON'); +end + +non_eq = length(ceq); +non_ineq = length(c); +[lin_eq,Aeqcol] = size(Aeq); +[lin_ineq,Acol] = size(A); +[cgrow, cgcol]= size(cGRAD); +[ceqgrow, ceqgcol]= size(ceqGRAD); + +eq = non_eq + lin_eq; +ineq = non_ineq + lin_ineq; + +if ~isempty(Aeq) & Aeqcol ~= numberOfVariables + error('Aeq has the wrong number of columns.') +end +if ~isempty(A) & Acol ~= numberOfVariables + error('A has the wrong number of columns.') +end +if cgrow~=numberOfVariables & cgcol~=non_ineq + error('Gradient of the nonlinear inequality constraints is the wrong size.') +end +if ceqgrow~=numberOfVariables & ceqgcol~=non_eq + error('Gradient of the nonlinear equality constraints is the wrong size.') +end + +if diagnostics > 0 + % Do diagnostics on information so far + msg = diagnose('fmincon',OUTPUT,gradflag,hessflag,constflag,gradconstflag,... + line_search,options,XOUT,non_eq,... + non_ineq,lin_eq,lin_ineq,l,u,funfcn,confcn,f,GRAD,HESS,c,ceq,cGRAD,ceqGRAD); +end + + +% call algorithm +if isequal(OUTPUT.algorithm,medium) + [X,FVAL,lambda,EXITFLAG,OUTPUT,GRAD,HESSIAN]=... + nlconst(funfcn,X,l,u,full(A),B,full(Aeq),Beq,confcn,options, ... + verbosity,gradflag,gradconstflag,hessflag,meritFunctionType,... + CHG,f,GRAD,HESS,c,ceq,cGRAD,ceqGRAD,varargin{:}); + LAMBDA=lambda; + + +else + if (isequal(funfcn{1}, 'fun_then_grad_then_hess') | isequal(funfcn{1}, 'fungradhess')) + Hstr=[]; + elseif (isequal(funfcn{1}, 'fun_then_grad') | isequal(funfcn{1}, 'fungrad')) + n = length(XOUT); + Hstr = optimget(options,'HessPattern',[]); + if isempty(Hstr) + % Put this code separate as it might generate OUT OF MEMORY error + Hstr = sparse(ones(n)); + end + if ischar(Hstr) + Hstr = eval(Hstr); + end + end + + if isempty(Aeq) + [X,FVAL,LAMBDA,EXITFLAG,OUTPUT,GRAD,HESSIAN] = ... + sfminbx(funfcn,X,l,u,verbosity,options,computeLambda,f,GRAD,HESS,Hstr,varargin{:}); + else + [X,FVAL,LAMBDA,EXITFLAG,OUTPUT,GRAD,HESSIAN] = ... + sfminle(funfcn,X,sparse(Aeq),Beq,verbosity,options,computeLambda,f,GRAD,HESS,Hstr,varargin{:}); + end +end + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +function [allfcns,msg] = fprefcnchk(funstr,caller,lenVarIn,gradflag,hessflag,constrflag) +%PREFCNCHK Pre- and post-process function expression for FUNCHK. +% [ALLFCNS,MSG] = PREFUNCHK(FUNSTR,CALLER,lenVarIn,GRADFLAG) takes +% the (nonempty) expression FUNSTR from CALLER with LenVarIn extra arguments, +% parses it according to what CALLER is, then returns a string or inline +% object in ALLFCNS. If an error occurs, this message is put in MSG. +% +% ALLFCNS is a cell array: +% ALLFCNS{1} contains a flag +% that says if the objective and gradients are together in one function +% (calltype=='fungrad') or in two functions (calltype='fun_then_grad') +% or there is no gradient (calltype=='fun'), etc. +% ALLFCNS{2} contains the string CALLER. +% ALLFCNS{3} contains the objective (or constraint) function +% ALLFCNS{4} contains the gradient function +% ALLFCNS{5} contains the hessian function (not used for constraint function). +% +% NOTE: we assume FUNSTR is nonempty. +% Initialize +if nargin < 6 + constrflag = 0; +end +if constrflag + graderrmsg = 'Constraint gradient function expected (OPTIONS.GradConstr==''on'') but not found.'; + warnstr = ... + sprintf('%s\n%s\n%s\n','Constraint gradient function provided but OPTIONS.GradConstr==''off'';', ... + ' ignoring constraint gradient function and using finite-differencing.', ... + ' Rerun with OPTIONS.GradConstr==''on'' to use constraint gradient function.'); +else + graderrmsg = 'Gradient function expected OPTIONS.GradObj==''on'' but not found.'; + warnstr = ... + sprintf('%s\n%s\n%s\n','Gradient function provided but OPTIONS.GradObj==''off'';', ... + ' ignoring gradient function and using finite-differencing.', ... + ' Rerun with OPTIONS.GradObj==''on'' to use gradient function.'); + +end +msg=''; +allfcns = {}; +funfcn = []; +gradfcn = []; +hessfcn = []; +if gradflag & hessflag + calltype = 'fungradhess'; +elseif gradflag + calltype = 'fungrad'; +else + calltype = 'fun'; +end + +% {fun} +if isa(funstr, 'cell') & length(funstr)==1 + % take the cellarray apart: we know it is nonempty + if gradflag + error(graderrmsg) + end + [funfcn, msg] = fcnchk(funstr{1},lenVarIn); + if ~isempty(msg) + if constrflag + msg = ['NONLCON must be a function name.']; + end + + error(msg); + end + + % {fun,[]} +elseif isa(funstr, 'cell') & length(funstr)==2 & isempty(funstr{2}) + if gradflag + error(graderrmsg) + end + [funfcn, msg] = fcnchk(funstr{1},lenVarIn); + if ~isempty(msg) + if constrflag + msg = ['NONLCON must be a function name.']; + end + + error(msg); + end + + % {fun, grad} +elseif isa(funstr, 'cell') & length(funstr)==2 % and ~isempty(funstr{2}) + + [funfcn, msg] = fcnchk(funstr{1},lenVarIn); + if ~isempty(msg) + if constrflag + msg = ['NONLCON must be a function name.']; + end + error(msg); + end + [gradfcn, msg] = fcnchk(funstr{2},lenVarIn); + if ~isempty(msg) + if constrflag + msg = ['NONLCON must be a function name.']; + end + + error(msg); + end + calltype = 'fun_then_grad'; + if ~gradflag + warning(warnstr); + calltype = 'fun'; + end + + + % {fun, [], []} +elseif isa(funstr, 'cell') & length(funstr)==3 ... + & ~isempty(funstr{1}) & isempty(funstr{2}) & isempty(funstr{3}) + if gradflag + error(graderrmsg) + end + if hessflag + error('Hessian function expected but not found.') + end + + [funfcn, msg] = fcnchk(funstr{1},lenVarIn); + if ~isempty(msg) + if constrflag + msg = ['NONLCON must be a function name.']; + end + + error(msg); + end + + % {fun, grad, hess} +elseif isa(funstr, 'cell') & length(funstr)==3 ... + & ~isempty(funstr{2}) & ~isempty(funstr{3}) + [funfcn, msg] = fcnchk(funstr{1},lenVarIn); + if ~isempty(msg) + if constrflag + msg = ['NONLCON must be a function name.']; + end + + error(msg); + end + [gradfcn, msg] = fcnchk(funstr{2},lenVarIn); + if ~isempty(msg) + if constrflag + msg = ['NONLCON must be a function name.']; + end + + error(msg); + end + [hessfcn, msg] = fcnchk(funstr{3},lenVarIn); + if ~isempty(msg) + if constrflag + msg = ['NONLCON must be a function name.']; + end + + error(msg); + end + calltype = 'fun_then_grad_then_hess'; + if ~hessflag & ~gradflag + hwarnstr = sprintf('%s\n%s\n%s\n','Hessian and gradient functions provided ', ... + ' but OPTIONS.Hessian==''off'' and OPTIONS.GradObj==''off''; ignoring Hessian and gradient functions.', ... + ' Rerun with OPTIONS.Hessian==''on'' and OPTIONS.GradObj==''on'' to use derivative functions.'); + warning(hwarnstr) + calltype = 'fun'; + elseif hessflag & ~gradflag + warnstr = ... + sprintf('%s\n%s\n%s\n','Hessian and gradient functions provided ', ... + ' but OPTIONS.GradObj==''off''; ignoring Hessian and gradient functions.', ... + ' Rerun with OPTIONS.Hessian==''on'' and OPTIONS.GradObj==''on'' to use derivative functions.'); + warning(warnstr) + calltype = 'fun'; + elseif ~hessflag & gradflag + hwarnstr = ... + sprintf('%s\n%s\n%s\n','Hessian function provided but OPTIONS.Hessian==''off'';', ... + ' ignoring Hessian function,', ... + ' Rerun with OPTIONS.Hessian==''on'' to use Hessian function.'); + warning(hwarnstr); + calltype = 'fun_then_grad'; + end + + % {fun, grad, []} +elseif isa(funstr, 'cell') & length(funstr)==3 ... + & ~isempty(funstr{2}) & isempty(funstr{3}) + if hessflag + error('Hessian function expected but not found.') + end + [funfcn, msg] = fcnchk(funstr{1},lenVarIn); + if ~isempty(msg) + if constrflag + msg = ['NONLCON must be a function name.']; + end + + error(msg); + end + [gradfcn, msg] = fcnchk(funstr{2},lenVarIn); + if ~isempty(msg) + if constrflag + msg = ['NONLCON must be a function name.']; + end + + error(msg); + end + calltype = 'fun_then_grad'; + if ~gradflag + warning(warnstr); + calltype = 'fun'; + end + + % {fun, [], hess} +elseif isa(funstr, 'cell') & length(funstr)==3 ... + & isempty(funstr{2}) & ~isempty(funstr{3}) + error('Hessian function given without gradient function.') + +elseif ~isa(funstr, 'cell') %Not a cell; is a string expression, function name string or inline object + [funfcn, msg] = fcnchk(funstr,lenVarIn); + if ~isempty(msg) + if constrflag + msg = ['NONLCON must be a function name.']; + end + + error(msg); + end + if gradflag % gradient and function in one function/M-file + gradfcn = funfcn; % Do this so graderr will print the correct name + end + if hessflag & ~gradflag + hwarnstr = ... + sprintf('%s\n%s\n%s\n','OPTIONS.Hessian==''on'' ', ... + ' but OPTIONS.GradObj==''off''; ignoring Hessian and gradient functions.', ... + ' Rerun with OPTIONS.Hessian==''on'' and OPTIONS.GradObj==''on'' to use derivative functions.'); + warning(hwarnstr) + end + +else + errmsg = sprintf('%s\n%s', ... + 'FUN must be a function name or inline object;', ... + ' or, FUN may be a cell array that contains these type of objects.'); + error(errmsg) +end + +allfcns{1} = calltype; +allfcns{2} = caller; +allfcns{3} = funfcn; +allfcns{4} = gradfcn; +allfcns{5} = hessfcn; + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/FMINS.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/FMINS.M" index e2d22441e419ea4d2c57a952ff279c5668cb65f8..d07759ec1d60122f6a2dc006b60cc9519140f2fc 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/FMINS.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/FMINS.M" @@ -1,3 +1,226 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:750d711cadbd77fa38429a7bd507ba49b21b78b4c7547a380ca2f56eabfb6dd5 -size 7127 +function [x, options] = fmins(funfcn,x,options,grad,varargin) +%多元函数极值它采用单纯性搜索法,适用于非光滑函数优化。 +%x=fmins('fun',x0)牛顿法求多元函数y=f(x)在x0出发的局部极小值点� +% 这里 x,x0均为向量。 +%x=fmins('fun',x0,options)输入options是优化中算法参数向量设置, +% 用help foptions可看到各分量的含义。 +%x=fmins('fun',x0,options,'grad') grad给定f(x)的梯度函数表达式加快计算速度。 +%x=fmins('fun',x0,options,'grad',p1,p2…)p1,p2,..是表示fun的M函数中的参数。 +% 注意:方程变量必须拼成一个向量变量,即用x(1),x(2),... +% +%例题 求f(x)=100(y-x^2)^2+(1-x)^2在[-1.2,1]附近的极小值。 +% 先写M函数optfun1.m +% function f=optfun1(x) +% f=100*(x(2)-x(1).^2).^2+(1-x(1)).^2 +% 求解 +% clear; +% x=[-1.2,1]; +% [x,options]=fmins('optfun1',x,options); +% x,options(8) +% +%FMINS Minimize function of several variables. +% X = FMINS('F',X0) attempts to return a vector X which is a local +% minimizer of F(x) near the starting vector X0. 'F' is a string +% containing the name of the objective function to be minimized, +% a string expression representing the objective function, or an +% inline function object. F(x) should be a scalar valued function +% of a vector variable. +% +% X = FMINS('F',X0,OPTIONS) uses a vector of control parameters. If +% OPTIONS(1) is positive, intermediate steps in the solution are +% displayed; the default is OPTIONS(1) = 0. OPTIONS(2) is the +% termination tolerance for x; the default is 1.e-4. OPTIONS(3) is +% the termination tolerance for F(x); the default is 1.e-4. +% OPTIONS(14) is the maximum number of function evaluations; the +% default is OPTIONS(14) = 200*length(x). The other components of +% OPTIONS are not used by FMINS. For more information, see FOPTIONS. +% +% X = FMINS('F',X0,OPTIONS,[],P1,P2,...) provides for additional +% arguments which are passed to the objective function, F(X,P1,P2,...) +% Pass an empty matrix for OPTIONS to use the default values. +% +% [X,OPTIONS] = FMINS(...) returns the number of function evaluations +% in OPTIONS(10). +% +% FMINS uses the Nelder-Mead simplex (direct search) method. +% +% See also FMIN, FOPTIONS. + +% Reference: Jeffrey C. Lagarias, James A. Reeds, Margaret H. Wright, +% Paul E. Wright, "Convergence Properties of the Nelder-Mead Simplex +% Algorithm in Low Dimensions", May 1, 1997. To appear in the SIAM +% Journal of Optimization. +% +% Copyright (c) 1984-98 by The MathWorks, Inc. +% $Revision: 5.14 $ $Date: 1997/11/21 23:30:44 $ + +if nargin<3, options = []; end +options = foptions(options); +prnt = options(1); +tolx = options(2); +tolf = options(3); +% The input argument grad is there for compatability with FMINU in +% the Optimization Toolbox, but is not used by this function. + +% Convert to inline function as needed. +funfcn = fcnchk(funfcn,length(varargin)); + +n = prod(size(x)); +if (~options(14)) + options(14) = 200*n; +end + +% Initialize parameters +rho = 1; chi = 2; psi = 0.5; sigma = 0.5; +onesn = ones(1,n); +two2np1 = 2:n+1; +one2n = 1:n; + +% Set up a simplex near the initial guess. +xin = x(:); % Force xin to be a column vector +v = zeros(n,n+1); fv = zeros(1,n+1); +v = xin; % Place input guess in the simplex! (credit L.Pfeffer at Stanford) +x(:) = xin; % Change x to the form expected by funfcn +fv = feval(funfcn,x,varargin{:}); + +% Following improvement suggested by L.Pfeffer at Stanford +usual_delta = 0.05; % 5 percent deltas for non-zero terms +zero_term_delta = 0.00025; % Even smaller delta for zero elements of x +for j = 1:n + y = xin; + if y(j) ~= 0 + y(j) = (1 + usual_delta)*y(j); + else + y(j) = zero_term_delta; + end + v(:,j+1) = y; + x(:) = y; f = feval(funfcn,x,varargin{:}); + fv(1,j+1) = f; +end + +% sort so v(1,:) has the lowest function value +[fv,j] = sort(fv); +v = v(:,j); + +func_evals = n+1; +if prnt > 0 + clc + formatsave = get(0,{'format','formatspacing'}); + format compact + format short e + disp(' ') + disp('initial') + v + fv + func_evals +end + +% Main algorithm +% Iterate until the diameter of the simplex is less than tolx +% AND the function values differ from the least by less than tolf, +% or the max function evaluations are exceeded. +while func_evals < options(14) + if max(max(abs(v(:,two2np1)-v(:,onesn)))) <= tolx &... + max(abs(fv(1)-fv(two2np1))) <= tolf + break + end + how = ''; + + % Compute the reflection point + + % xbar = average of the n (NOT n+1) best points + xbar = sum(v(:,one2n), 2)/n; + xr = (1 + rho)*xbar - rho*v(:,end); + x(:) = xr; fxr = feval(funfcn,x,varargin{:}); + func_evals = func_evals+1; + + if fxr < fv(:,1) + % Calculate the expansion point + xe = (1 + rho*chi)*xbar - rho*chi*v(:,end); + x(:) = xe; fxe = feval(funfcn,x,varargin{:}); + func_evals = func_evals+1; + if fxe < fxr + v(:,end) = xe; + fv(:,end) = fxe; + how = 'expand'; + else + v(:,end) = xr; + fv(:,end) = fxr; + how = 'reflect'; + end + else % fv(:,1) <= fxr + if fxr < fv(:,n) + v(:,end) = xr; + fv(:,end) = fxr; + how = 'reflect'; + else % fxr >= fv(:,n) + % Perform contraction + if fxr < fv(:,end) + % Perform an outside contraction + xc = (1 + psi*rho)*xbar - psi*rho*v(:,end); + x(:) = xc; fxc = feval(funfcn,x,varargin{:}); + func_evals = func_evals+1; + + if fxc <= fxr + v(:,end) = xc; + fv(:,end) = fxc; + how = 'contract outside'; + else + % perform a shrink + how = 'shrink'; + end + else + % Perform an inside contraction + xcc = (1-psi)*xbar + psi*v(:,end); + x(:) = xcc; fxcc = feval(funfcn,x,varargin{:}); + func_evals = func_evals+1; + + if fxcc < fv(:,end) + v(:,end) = xcc; + fv(:,end) = fxcc; + how = 'contract inside'; + else + % perform a shrink + how = 'shrink'; + end + end + if strcmp(how,'shrink') + for j=two2np1 + v(:,j)=v(:,1)+sigma*(v(:,j) - v(:,1)); + x(:) = v(:,j); fxcc = feval(funfcn,x,varargin{:}); + end + func_evals = func_evals + n; + end + end + end + [fv,j] = sort(fv); + v = v(:,j); + if prnt > 0 + disp(' ') + disp(how) + v + fv + func_evals + end +end % while + + +x(:) = v(:,1); +if prnt > 0, + % reset format + set(0,{'format','formatspacing'},formatsave); +end +options(10)=func_evals; +options(8)=min(fv); +if func_evals >= options(14) + if options(1) >= 0 + disp(' ') + disp(['Maximum number of function evaluations (', ... + int2str(options(14)),') has been exceeded']); + disp( ' (increase OPTIONS(14)).') + end +end + + + + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/FMINU.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/FMINU.M" index e5e04f69eeedb0e6665255a8b8159ab46a2ccbb7..88ae5eb31f0e4cfe9dbd454d335e65323f1246f5 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/FMINU.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/FMINU.M" @@ -1,3 +1,300 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:da0a355c3e96d0f1ec635455821e9b02935f585b4e5d91b605589a8a3a0b6240 -size 10500 +function [x,OPTIONS] = fminu(FUN,x,OPTIONS,GRADFUN,varargin) +%多元函数极值拟牛顿法,适用于光滑函数优化? +%x=fminu('fun',x0)牛顿法求多元函数y=f(x)在x0出发的局部极小值点? +% 这里 x,x0均为向量。 +%x=fminu('fun',x0,options)输入options是优化中算法参数向量设置, +% 用help foptions可看到各分量的含义。 +%x=fminu('fun',x0,options,'grad') grad给定f(x)的梯度函数表达式?杉涌旒扑闼俣取? +%x=fminu('fun',x0,options,'grad',p1,p2…)p1,p2,..是表示fun的M函数中的参数。 +%例题 求f(x)=100(x2-x1^2)^2+(1-x1)^2在[-1.2,1]附近的极小值。 +% 先写M函数optfun1.m +% function f=optfun1(x) +% f=100*(x(2)-x(1).^2).^2+(1-x(1)).^2; +% 求解 +% clear; +% x=[-1.2,1]; +% [x,options]=fminu('optfun1',x,options); +% x,options(8) +% +%FMINU Finds the minimum of a function of several variables. +% X=FMINU('FUN',X0) starts at the matrix X0 and finds a minimum to the +% function which is described in FUN (usually an M-file: FUN.M). +% The function 'FUN' should return a scalar function value: F=FUN(X). +% +% X=FMINU('FUN',X0,OPTIONS) allows a vector of optional parameters to +% be defined. OPTIONS(1) controls how much display output is given; set +% to 1 for a tabular display of results, (default is no display: 0). +% OPTIONS(2) is a measure of the precision required for the values of +% X at the solution. OPTIONS(3) is a measure of the precision +% required of the objective function at the solution. +% For more information type HELP FOPTIONS. +% +% X=FMINU('FUN',X0,OPTIONS,'GRADFUN') enables a function'GRADFUN' +% to be entered which returns the partial derivatives of the function, +% df/dX, at the point X: gf = GRADFUN(X). +% +% X=FMINU('FUN',X0,OPTIONS,'GRADFUN',P1,P2,...) passes the problem- +% dependent parameters P1,P2,... directly to the functions FUN +% and GRADFUN: FUN(X,P1,P2,...) and GRADFUN(X,P1,P2,...). Pass +% empty matrices for OPTIONS, and 'GRADFUN' to use the default +% values. +% +% [X,OPTIONS]=FMINU('FUN',X0,...) returns the parameters used in the +% optimization method. For example, options(10) contains the number +% of function evaluations used. +% +% The default algorithm is the BFGS Quasi-Newton method with a +% mixed quadratic and cubic line search procedure. + +% Copyright (c) 1990-98 by The MathWorks, Inc. +% $Revision: 1.27 $ $Date: 1997/11/29 01:23:11 $ +% Andy Grace 7-9-90. + + +% ------------Initialization---------------- +XOUT=x(:); +nvars=length(XOUT); + +if nargin < 2, error('fminu requires two input arguments');end +if nargin < 3, OPTIONS=[]; end +if nargin < 4, GRADFUN=[]; end + +% Convert to inline function as needed. +if ~isempty(FUN) + [funfcn, msg] = fcnchk(FUN,length(varargin)); + if ~isempty(msg) + error(msg); + end +else + error('FUN must be a function name or valid expression.') +end + +if ~isempty(GRADFUN) + [gradfcn, msg] = fcnchk(GRADFUN,length(varargin)); + if ~isempty(msg) + error(msg); + end +else + gradfcn = []; +end + +f = feval(funfcn,x,varargin{:}); +n = length(XOUT); +GRAD=zeros(nvars,1); +OLDX=XOUT; +MATX=zeros(3,1); +MATL=[f;0;0]; +OLDF=f; +FIRSTF=f; +[OLDX,OLDF,HESS,OPTIONS]=optint(XOUT,f,OPTIONS); +CHG = 1e-7*abs(XOUT)+1e-7*ones(nvars,1); +SD = zeros(nvars,1); +diff = zeros(nvars,1); +PCNT = 0; +how = ''; + + +OPTIONS(10)=2; % Function evaluation count (add 1 for last evaluation) +status =-1; + +while status ~= 1 +% Work Out Gradients + if isempty(gradfcn) | OPTIONS(9) + OLDF=f; +% Finite difference perturbation levels +% First check perturbation level is not less than search direction. + f = find(10*abs(CHG)>abs(SD)); + CHG(f) = -0.1*SD(f); +% Ensure within user-defined limits + CHG = sign(CHG+eps).*min(max(abs(CHG),OPTIONS(16)),OPTIONS(17)); + for gcnt=1:nvars + XOUT(gcnt,1)=XOUT(gcnt)+CHG(gcnt); + x(:) = XOUT; + f = feval(funfcn,x,varargin{:}); + GRAD(gcnt)=(f-OLDF)/(CHG(gcnt)); + if f < OLDF + OLDF=f; + else + XOUT(gcnt)=XOUT(gcnt)-CHG(gcnt); + end + end +% Try to set difference to 1e-8 for next iteration +% Add eps for machines that can't handle divide by zero. + CHG = 1e-8./(GRAD + eps); + f = OLDF; + OPTIONS(10)=OPTIONS(10)+nvars; +% Gradient check + if OPTIONS(9) == 1 + GRADFD = GRAD; + x(:)=XOUT; + GRAD(:) = feval(gradfcn,x,varargin{:}); + if isa(gradfcn,'inline') + graderr(GRADFD, GRAD, formula(gradfcn)); + else + graderr(GRADFD, GRAD, gradfcn); + end + OPTIONS(9) = 0; + end + + else + OPTIONS(11)=OPTIONS(11)+1; + x(:)=XOUT; + GRAD(:) = feval(gradfcn,x,varargin{:}); + end +%---------------Initialization of Search Direction------------------ +if status == -1 + SD=-GRAD; + FIRSTF=f; + OLDG=GRAD; + GDOLD=GRAD'*SD; +% For initial step-size guess assume the minimum is at zero. + OPTIONS(18) = max(0.001, min([1,2*abs(f/GDOLD)])); + if OPTIONS(1)>0 + disp([sprintf('%5.0f %12.6g %12.6g ',OPTIONS(10),f,OPTIONS(18)),sprintf('%12.3g ',GDOLD)]); + end + XOUT=XOUT+OPTIONS(18)*SD; + status=4; + if OPTIONS(7)==0; PCNT=1; end + +else +%-------------Direction Update------------------ + gdnew=GRAD'*SD; + if OPTIONS(1)>0, + num=[sprintf('%5.0f %12.6g %12.6g ',OPTIONS(10),f,OPTIONS(18)),sprintf('%12.3g ',gdnew)]; + end + if (gdnew>0 & f>FIRSTF)|~finite(f) +% Case 1: New function is bigger than last and gradient w.r.t. SD -ve +% ...interpolate. + how='inter'; + [stepsize]=cubici1(f,FIRSTF,gdnew,GDOLD,OPTIONS(18)); + if stepsize<0|isnan(stepsize), stepsize=OPTIONS(18)/2; how='C1f '; end + if OPTIONS(18)<0.1&OPTIONS(6)==0 + if stepsize*norm(SD)1e-20 +% Case 2: New function less than old fun. and OK for updating HESS +% .... update and calculate new direction. + how=''; + if gdnew<0 + how='incstep'; + if newstep0 + if OPTIONS(18)>0.9 + how='int_st'; + OPTIONS(18)=min([1,abs(newstep)]); + end + end %if gdnew + [HESS,SD]=updhess(XOUT,OLDX,GRAD,OLDG,HESS,OPTIONS); + gdnew=GRAD'*SD; + OLDX=XOUT; + status=4; +% Save Variables for next update + FIRSTF=f; + OLDG=GRAD; + GDOLD=gdnew; +% If mixed interpolation set PCNT + if OPTIONS(7)==0, PCNT=1; MATX=zeros(3,1); MATL(1)=f; end + elseif gdnew>0 %sk<=0 +% Case 3: No good for updating HESSIAN .. interpolate or halve step length. + how='inter_st'; + if OPTIONS(18)>0.01 + OPTIONS(18)=0.9*newstep; + XOUT=OLDX; + end + if OPTIONS(18)>1, OPTIONS(18)=1; end + else +% Increase step, replace starting point + OPTIONS(18)=max([min([newstep-OPTIONS(18),3]),0.5*OPTIONS(18)]); + how='incst2'; + OLDX=XOUT; + FIRSTF=f; + OLDG=GRAD; + GDOLD=GRAD'*SD; + OLDX=XOUT; + end % if sk> +% Case 4: New function bigger than old but gradient in on +% ...reduce step length. + else %gdnew<0 & F>FIRSTF + if gdnew<0&f>FIRSTF + how='red_step'; + if norm(GRAD-OLDG)<1e-10; HESS=eye(nvars); end + if abs(OPTIONS(18))0 + end % if (gdnew>0 & F>FIRSTF)|~finite(F) + XOUT=XOUT+OPTIONS(18)*SD; + if isinf(OPTIONS(1)) + disp([num,how]) + elseif OPTIONS(1)>0 + disp(num) + end +end %----------End of Direction Update------------------- + +% Check Termination + if max(abs(SD))<2*OPTIONS(2) & (-GRAD'*SD) < 2*OPTIONS(3) + if OPTIONS(1) > 0 + disp('Optimization Terminated Successfully') + disp(' Search direction less than 2*options(2)') + disp(' Gradient in the search direction less than 2*options(3)') + disp([' NUMBER OF FUNCTION EVALUATIONS=', int2str(OPTIONS(10))]); + end + status=1; + elseif OPTIONS(10)>OPTIONS(14) + if OPTIONS(1) >= 0 + disp('Maximum number of function evaluations exceeded;') + disp(' increase options(14).') + end + status=1; + else + +% Line search using mixed polynomial interpolation and extrapolation. + if PCNT~=0 + while PCNT > 0 & OPTIONS(10) <= OPTIONS(14) + x(:) = XOUT; + f = feval(funfcn,x,varargin{:}); + OPTIONS(10)=OPTIONS(10)+1; + [PCNT,MATL,MATX,steplen,f, how]=searchq(PCNT,f,OLDX,MATL,MATX,SD,GDOLD,OPTIONS(18), how); + OPTIONS(18)=steplen; + XOUT=OLDX+steplen*SD; + end + if OPTIONS(10)>OPTIONS(14) + if OPTIONS(1) >= 0 + disp('Maximum number of function evaluations exceeded;') + disp(' increase options(14).') + end + status=1; + end + else + x(:)=XOUT; + f = feval(funfcn,x,varargin{:}); + OPTIONS(10)=OPTIONS(10)+1; + end + end +end + +x(:)=XOUT; +f = feval(funfcn,x,varargin{:}); +if f > FIRSTF + OPTIONS(8) = FIRSTF; + x(:)=OLDX; +else + OPTIONS(8) = f; +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/LINPROG.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/LINPROG.M" index 4f06dbc7bfc78e04e3815eeb42affe59db64fda6..bc83284658deadf3ed6507eb1a5328a6949dbfcc 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/LINPROG.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/LINPROG.M" @@ -1,3 +1,223 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:1fd6513fa1fd64bf41ee74b1cc55ae47f1e0134d48d04487593879f674f03c9b -size 8141 +function [x,fval,exitflag,output,lambda]=linprog(f,A,B,Aeq,Beq,lb,ub,x0,options) +%x=linprog(f, A, b)求解线性规划 +% min z = f'x, Ax ≤ b; +%x=linprog(f, A, b, Aeq, beq)求解线性规划: +% min z = f'x, Ax ≤ b, Aeqx = beq; +%x=linprog(f, A, b, Aeq, beq, lb, ub)指定lb ≤ x ≤ ub; +%x=linprog(f, A, b, Aeq, beq, lb, ub, x0)指定迭代初值x0, +%如果没有不等式约束,可用[ ]替代A和b表示缺省,如果没有等式约束,可用[ ]替代Aeq和beq表示缺省 +%如果某个xi下无界或上无界,设定lb(i) = -inf或ub(i) = inf; +%用[x, Fval]代替上述各命令行中左边的x,则可得到最优解处的函数值Fval。 +% +%例 max z=10x1+5x2 +% s.t. 5x1+2x2<=8 +% 3x1+4x2=9 +% x1+x2>=1 +% x1,x2>=0 +% 首先化为:min - z = -10x1 -5x2 +% s.t. 5x1+2x1<=8 +% -x1-x2<=-1 +% 3x1+4x2=9 +% x1,x2>=0 +% 解法 +% clear; +% C=[-10,-5]'; +% A=[5 2;-1 -1];Aeq=[3 4]; +% b=[8,-1]';beq=9; +% [x,fval]=linprog(C,A,b,Aeq,beq,zeros(2,1)); +% xmax=x,zmax=-fval +% +%LINPROG Linear programming. +% X=LINPROG(f,A,b) solves the linear programming problem: +% +% min f'*x subject to: A*x <= b +% x +% +% X=LINPROG(f,A,b,Aeq,beq) solves the problem above while additionally +% satisfying the equality constraints Aeq*x = beq. +% +% X=LINPROG(f,A,b,Aeq,beq,LB,UB) defines a set of lower and upper +% bounds on the design variables, X, so that the solution is in +% the range LB <= X <= UB. Use empty matrices for LB and UB +% if no bounds exist. Set LB(i) = -Inf if X(i) is unbounded below; +% set UB(i) = Inf if X(i) is unbounded above. +% +% X=LINPROG(f,A,b,Aeq,beq,LB,UB,X0) sets the starting point to X0. This +% option is only available with the active-set algorithm. The default +% interior point algorithm will ignore any non-empty starting point. +% +% X=LINPROG(f,A,b,Aeq,Beq,LB,UB,X0,OPTIONS) minimizes with the default +% optimization parameters replaced by values in the structure OPTIONS, an +% argument created with the OPTIMSET function. See OPTIMSET for details. +% Use options are Display, Diagnostics, TolFun, LargeScale, MaxIter. +% Currently, only 'final' and 'off' are valid values for the parameter +% Display when LargeScale is 'off' ('iter' is valid when LargeScale is 'on'). +% +% [X,FVAL]=LINPROG(f,A,b) returns the value of the objective function at X: +% FVAL = f'*X. +% +% [X,FVAL,EXITFLAG] = LINPROG(f,A,b) returns EXITFLAG that +% describes the exit condition of LINPROG. +% If EXITFLAG is: +% > 0 then LINPROG converged with a solution X. +% 0 then LINPROG reached the maximum number of iterations without converging. +% < 0 then the problem was infeasible or LINPROG failed. +% +% [X,FVAL,EXITFLAG,OUTPUT] = LINPROG(f,A,b) returns a structure +% OUTPUT with the number of iterations taken in OUTPUT.iterations, the type +% of algorithm used in OUTPUT.algorithm, the number of conjugate gradient +% iterations (if used) in OUTPUT.cgiterations. +% +% [X,FVAL,EXITFLAG,OUTPUT,LAMBDA]=LINPROG(f,A,b) returns the set of +% Lagrangian multipliers LAMBDA, at the solution: LAMBDA.ineqlin for the +% linear inequalities A, LAMBDA.eqlin for the linear equalities Aeq, +% LAMBDA.lower for LB, and LAMBDA.upper for UB. +% +% NOTE: the LargeScale (the default) version of LINPROG uses a primal-dual +% method. Both the primal problem and the dual problem must be feasible +% for convergence. Infeasibility messages of either the primal or dual, +% or both, are given as appropriate. The primal problem in standard +% form is +% min f'*x such that A*x = b, x >= 0. +% The dual problem is +% max b'*y such that A'*y + s = f, s >= 0. + +% Copyright (c) 1990-98 by The MathWorks, Inc. +% $Revision: 1.17 $ $Date: 1998/10/22 20:11:09 $ +% If just 'defaults' passed in, return the default options in X + +defaultopt = optimset('display','final',... + 'TolFun',1e-8,'Diagnostics','off',... + 'LargeScale','on','maxiter',85); + +if nargin==1 & nargout <= 1 & isequal(f,'defaults') + x = defaultopt; + return +end + +% Handle missing arguments +if nargin < 9, options = []; + if nargin < 8, x0 = []; + if nargin < 7, ub = []; + if nargin < 6, lb = []; + if nargin < 5, Beq = []; + if nargin < 4, Aeq = []; + end, end, end, end, end, end +if nargout > 4 + computeLambda = 1; +else + computeLambda = 0; +end + +% Options setup +options = optimset(defaultopt,options); +largescale = isequal(optimget(options,'largescale'),'on'); +diagnostics = isequal(optimget(options,'diagnostics','off'),'on'); +switch optimget(options,'display') +case {'off','none'} + verbosity = 0; +case 'iter' + verbosity = 2; +case 'final' + verbosity = 1; +otherwise + verbosity = 1; +end + +% Set the constraints up: defaults and check size +[nineqcstr,nvars]=size(A); +[neqcstr, nvarseq]=size(Aeq); +nvars = max([length(f),nvars,nvarseq]); % In case A is empty +ncstr = nineqcstr + neqcstr; + +if isempty(A), A=zeros(0,nvars); end +if isempty(B), B=zeros(0,1); end +if isempty(Aeq), Aeq=zeros(0,nvars); end +if isempty(Beq), Beq=zeros(0,1); end + +% Set to column vectors +f = f(:); +B = B(:); +Beq = Beq(:); + +[x0,lb,ub,msg] = checkbounds(x0,lb,ub,nvars); +if ~isempty(msg) + exitflag = -1; + output = []; x=x0; fval = []; lambda = []; + if verbosity > 0 + disp(msg) + end + return +end + +caller = 'linprog'; +ncstr = nineqcstr + neqcstr; + +if largescale + OUTPUT.algorithm = 'large-scale: interior point'; +else + OUTPUT.algorithm = 'medium-scale: active-set'; +end + +if diagnostics + % Do diagnostics on information so far + gradflag = []; hessflag = []; line_search=[]; + constflag = 0; gradconstflag = 0; non_eq=0;non_ineq=0; + lin_eq=size(Aeq,1); lin_ineq=size(A,1); XOUT=ones(nvars,1); + funfcn{1} = [];ff=[]; GRAD=[];HESS=[]; + confcn{1}=[];c=[];ceq=[];cGRAD=[];ceqGRAD=[]; + msg = diagnose('linprog',OUTPUT,gradflag,hessflag,constflag,gradconstflag,... + line_search,options,XOUT,non_eq,... + non_ineq,lin_eq,lin_ineq,lb,ub,funfcn,confcn,ff,GRAD,HESS,c,ceq,cGRAD,ceqGRAD); +end + +if (largescale) + if ~isempty(x0) & verbosity > 0 + warning('Interior Point method is ignoring starting point') + end + [x,fval,lambda,exitflag,output] = lipsol(f,A,B,Aeq,Beq,lb,ub,options,computeLambda); + output.algorithm = 'lipsol'; +else + if ~largescale & (issparse(A) | issparse(Aeq) )% asked for medium-scale but sparse + if verbosity > 0 + disp('The medium-scale (active-set) algorithm does not currently handle sparse matrices.') + disp('Converting to full matrices to solve.') + end + end + if isempty(x0), x0=zeros(nvars,1); end + [x,lambdaqp,exitflag,output]= ... + qpsub([],full(f),full([Aeq;A]),full([Beq;B]),lb,ub,x0,neqcstr,verbosity,caller,ncstr,nvars,options); + output.algorithm = 'medium-scale: activeset'; +end + +if isequal(output.algorithm , 'medium-scale: activeset') + fval = f'*x; + llb = length(lb); + lub = length(ub); + lambda.lower = zeros(llb,1); + lambda.upper = zeros(lub,1); + arglb = ~isinf(lb); lenarglb = nnz(arglb); + argub = ~isinf(ub); lenargub = nnz(argub); + lambda.eqlin = lambdaqp(1:neqcstr,1); + lambda.ineqlin = lambdaqp(neqcstr+1:neqcstr+nineqcstr,1); + lambda.lower(arglb) = lambdaqp(neqcstr+nineqcstr+1:neqcstr+nineqcstr+lenarglb); + lambda.upper(argub) = lambdaqp(neqcstr+nineqcstr+lenarglb+1:neqcstr+nineqcstr+lenarglb+lenargub); + + output.firstorderopt=[]; + output.cgiterations =[]; + + if verbosity > 0 + if ( exitflag ==1 ) + disp('Optimization terminated successfully.'); + end + if ( exitflag == 2) + % do some sort of check here to see how unreliable + disp('Optimization completed.'); + end + if (exitflag ==0) + disp('Maximum number of iterations exceeded;') + disp(' increase options.MaxIter') + end + + end +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/LP.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/LP.M" index e1df8f628e80edda602e01f4b22402e9441f2617..3c2c3dd75ba94fb3dd1f33b23c1d4cea6d7c139c 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/LP.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/LP.M" @@ -1,3 +1,86 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:c6b7bdc82511fa86bcba8f31c173dabb8f0ba645e7822f3b7c09aaa840e3d55c -size 2733 +function [x,lambda,how]=lp(f,A,B,vlb,vub,x,neqcstr,verbosity) +%线性规划lp +%求解线性规划问题: +% min c'x +% s.t. Ax<=b +%这里A为m*n矩阵,C为m*1向量,b为m*1向量,n为变量个数 +%用法 +% x=lp(C,A,b)求得上述线性规划的解。 +% x=lp(C,A,b,vlb,vub) 指定上下界vlb<=x<=vub +% x=lp(C,A,b,vlb,vub,x0)给定迭代初值 +% x=lp(C,A,b,vlb,vub,x0,k)前k个约束为等式 +%例 max z=10x1+5x2 +% s.t. 5x1+2x2<=8 +% 3x1+4x2=9 +% x1+x2>=1 +% x1,x2>=0 +% 首先化为:min - z = -10x1 -5x2 +% s.t. 3x1+4x2=9 +% 5x1+2x1<=8 +% -x1-x2<=-1 +% x1,x2>=0 +% 解法 +% clear; +% C=[-10,-5]'; +% A=[3 4;5 2;-1 -1]; +% b=[9,8,-1]'; +% x=lp(C,A,b,zeros(2,1),[],[],1) +%LP Linear programming. +% LP has been replaced with LINPROG. LP currently works but +% will be removed in the future. Use LINPROG instead. +% +% X=LP(f,A,b) solves the linear programming problem: +% +% min f'x subject to: Ax <= b +% x +% +% X=LP(f,A,b,VLB,VUB) defines a set of lower and upper +% bounds on the design variables, X, so that the solution is always in +% the range VLB <= X <= VUB. +% +% X=LP(f,A,b,VLB,VUB,X0) sets the initial starting point to X0. +% +% X=LP(f,A,b,VLB,VUB,X0,N) indicates that the first N constraints defined +% by A and b are equality constraints. +% +% X=LP(f,A,b,VLB,VUB,X0,N,DISPLAY) controls the level of warning +% messages displayed. Warning messages can be turned off with +% DISPLAY = -1. +% +% [x,LAMBDA]=LP(f,A,b) returns the set of Lagrangian multipliers, +% LAMBDA, at the solution. +% +% [X,LAMBDA,HOW] = LP(f,A,b) also returns a string how that indicates +% error conditions at the final iteration. +% +% LP produces warning messages when the solution is either unbounded +% or infeasible. + +% Copyright (c) 1990-98 by The MathWorks, Inc. +% $Revision: 1.13 $ $Date: 1998/08/31 22:29:20 $ +% Andy Grace 7-9-90. Mary Ann Branch 9-30-96. + +if nargin<8, verbosity = 0; + if nargin<7, neqcstr = 0; + if nargin<6, x = []; + if nargin<5, vub = []; + if nargin<4, vlb = []; + end, end, end, end, end +[ncstr,nvars]=size(A); +nvars = max([length(f),nvars]); % In case A is empty + +if isempty(verbosity), verbosity = 0; end +if isempty(neqcstr), neqcstr = 0; end +if isempty(x), x=zeros(nvars,1); end + +if isempty(A), A=zeros(0,nvars); end +if isempty(B), B=zeros(0,1); end + +% Set to column vectors +f = f(:); +B = B(:); +x = x(:); + +caller = 'lp'; +[x,lambda,how]=qpsubold([],f,A,B,vlb,vub,x,neqcstr,verbosity,caller,ncstr,nvars); + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/\346\225\260\345\255\246\350\247\204\345\210\222.txt" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/\346\225\260\345\255\246\350\247\204\345\210\222.txt" index 06d268df6c8f263c9bae3ee029ab704b8d067c40..58ded4a972d5dca4a4b340e9112601453d2877f1 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/\346\225\260\345\255\246\350\247\204\345\210\222.txt" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\345\255\246\350\247\204\345\210\222/\346\225\260\345\255\246\350\247\204\345\210\222.txt" @@ -1,3 +1,8 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f5d61a2e2b00f56af17cc266f03a312912b0add77e89e8a7ab5f62aa57329e93 -size 221 +% 数学规划 +% lp - 线性规划 +% linprog - 线性规划(在MATLAB5.3使用) +% fmin - 一元函数极值 +% fminu - 多元函数极值拟牛顿法 +% fmins - 多元函数极值单纯形搜索法 +% constr - 非线性规划 +% fmincon - 非线性规划(在MATLAB5.3使用) \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/CURVEFIT.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/CURVEFIT.M" index beab2cc08fd47b9d2c16db8fb9476e536cd0ebf1..6944dd11dec1acc1c2e90c0eb04c38c3dcd1bca1 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/CURVEFIT.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/CURVEFIT.M" @@ -1,3 +1,148 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:6495015c7a9ca3d6c202ea1d3a836d9bb620c6c9133511d4845ad143fa5602dd -size 5663 +function [x,OPTIONS,CostFunction,JACOB] = curvefit(FUN,x0,XDATA,YDATA,OPTIONS,GRADFUN,varargin) +%曲线拟合 +% C=CURVEFIT('拟合模型',参数C初值,X数据,Y数据) +%求参数C使得 sum {(FUN(C,X数据)-Y数据).^2}最小化 +%例 +% x | 0.1 0.2 0.15 0.0 -0.2 0.3 +% --|------------------------------ +% y | 0.95 0.84 0.86 1.06 1.50 0.72 +%拟合 y=a*exp(b*x).先写M-函数fitfun2.m +% function f=fitfun2(c,x) +% f=c(1)*exp(c(2)*x); +% 解法 +% x=[0.1,0.2,0.15,0,-0.2,0.3]; +% y=[0.95,0.84,0.86,1.06,1.50,0.72]; +% c=curvefit('fitfun2',[1,1]',x,y); +% a=c(1),b=c(2) +% f='a*exp(b*xi)'; +% xi=-0.2:0.01:0.3; +% yi=eval(f); +% plot(x,y,'o',xi,yi,'k') +% title('CURVEFIT'); + +%CURVEFIT Solves non-linear least squares problems. +% CURVEFIT solves problems of the form: +% min sum {(FUN(X,XDATA)-YDATA).^2} where FUN, XDATA and YDATA are +% X matrices. +% +% X=CURVEFIT('FUN',X0,XDATA,YDATA) starts at X0 and finds +% coefficients X to best fit the nonlinear function FUN(X,XDATA) +% to the data YDATA (in the least-squares sense). FUN is an M-file +% that computes a function of X and XDATA and returns a matrix of +% the objective function values: F=FUN(X,XDATA). +% NOTE: YDATA must be the same size as the matrix F returned by FUN. +% +% X=CURVEFIT('FUN',X0,XDATA,YDATA,OPTIONS) allows a vector of optional +% parameters to be defined. OPTIONS(2) is a measure of the precision +% required for the values of X at the solution. OPTIONS(3) is a measure +% of the precision required of the objective function at the solution. +% See HELP FOPTIONS. +% +% X=CURVEFIT('FUN',X0,XDATA,YDATA,OPTIONS,'GRADFUN') enables a +% function 'GRADFUN' to be entered which returns the partial derivatives +% of the functions, dF/dX, (stored in columns) at the point X: +% gf = GRADFUN(X,XDATA). +% +% X=CURVEFIT('FUN',X,XDATA,YDATA,OPTIONS,'GRADFUN',P1,P2,..) passes the +% problem-dependent parameters P1,P2,... directly to the functions FUN +% and GRADFUN: FUN(X,XDATA,P1,P2,...) and GRADFUN(X,XDATA,P1,P2,...). +% Pass empty matrices for OPTIONS and 'GRADFUN' to use the default values. +% +% [X,OPTIONS,F,J]=CURVEFIT('FUN',X0,XDATA,YDATA,...) returns, F, +% the value of FUN(X,XDATA)-YDATA at the solution X, and J the Jacobian +% of the function FUN at the solution. +% +% FUN must be an M-file and not an inline object or expression. Use LEASTSQ +% instead on inline objects or expressions. + +% Copyright (c) 1990-98 by The MathWorks, Inc. +% $Revision: 1.6 $ $Date: 1997/11/29 01:23:03 $ +% Mary Ann Branch 8-22-96. + +% The default algorithm is the Levenberg-Marquardt method with a +% mixed quadratic and cubic line search procedure. A Gauss-Newton +% method is selected by setting OPTIONS(5)=1. +% + +% ------------Initialization---------------- + +if nargin < 4, error('curvefit requires four input arguments');end +if nargin < 5, OPTIONS=[]; end +if nargin < 6, GRADFUN=[]; end + +% Need extra argname for XDATA +curvefitarg = 1; +lenVarIn = length(varargin); + +% Convert to inline function as needed. +if isempty(FUN) + error('FUN must be a function name.'); +elseif isa(FUN,'inline') + error('FUN must be a function name, not an inline object. Use LEASTSQ instead.'); +elseif isstr(FUN) + % Make sure FUN isn't an expression via fcnchk + fun0 = fcnchk(FUN); + if isa(fun0,'inline') + error('FUN must be a function name, not a string expression. Use LEASTSQ instead.'); + else + % Momentarily turn FUN into an inline to get at the argnames and formula + fun1 = inline(FUN,lenVarIn+1); + fun1args = argnames(fun1); + % Compute the inline function that is the difference with YDATA + arglist = sprintf('%s(', formula(fun1)); + for k = 1:(nargin(fun1)-1); + arglist = sprintf('%s%s,', arglist, deblank(fun1args{k,:})); + end + arglist = sprintf('%s%s)',arglist, deblank(fun1args{nargin(fun1),:})); + funfcn = inline([arglist, ... + '-P',int2str(lenVarIn+2)],lenVarIn+2); + end +else + error('FUN is an unrecognized data type.') +end + +if ~isempty(GRADFUN) + if isa(GRADFUN,'inline') + error('GRADFUN must be a function name and not an inline object.'); + elseif isstr(GRADFUN) + % Make sure FUN isn't an expression via fcnchk + fun0 = fcnchk(GRADFUN); + if isa(fun0,'inline') + error('GRADFUN must be a function name, not a string expression.'); + else + % Momentarily turn GRADFUN into an inline to get at the argnames and formula + fun1 = inline(GRADFUN,lenVarIn+1); + fun1args = argnames(fun1); + % Compute the inline function that is the difference with YDATA + arglist = sprintf('%s(', formula(fun1)); + for k = 1:(nargin(fun1)-1); + arglist = sprintf('%s%s,', arglist, deblank(fun1args{k,:})); + end + arglist = sprintf('%s%s)',arglist, deblank(fun1args{nargin(fun1),:})); + gradfcn = inline(arglist,lenVarIn+2); + end + else + error('GRADFUN is an unrecognized data type.') + end +else + gradfcn = []; +end + + +% Check the size of f and YDATA +try + f = feval(FUN,x0,XDATA,varargin{:}); +catch + error(['Error in evaluating user supplied function: ',FUN]) +end + +if ~isequal(size(f), size(YDATA)) + error('Function value and YDATA sizes are incommensurate.') +end + +% The order YDATA, XDATA is relevant: match P2 to YDATA +[x,OPTIONS,CostFunction,JACOB] = ... + nlsqold(funfcn,x0,OPTIONS,gradfcn,XDATA,varargin{:},YDATA); + +%--end of curvefit-- + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/GRIDDATA.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/GRIDDATA.M" index 9650c9b7fbf413d3518f587712f0dc60360e3073..13676f9da13eaa18c7367f7a5fd9dbb032dca71e 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/GRIDDATA.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/GRIDDATA.M" @@ -1,3 +1,435 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:197e2a2476595149d2a3ed7db357460d6c850931d7fe1ed761e89aacd582c6fa -size 15769 +function [xi,yi,zi] = griddata(x,y,z,xi,yi,method) +%不规则数据的曲面插值 +%ZI=griddata(x,y,z,XI,YI) +% 这里x,y,z均为向量(不必单调)表示数据. +% XI,YI为网格数据矩阵.griddata采用三角形线性插值. +%ZI=griddata(x,y,z,XI,YI,'cubic') 采用三角形三次插值 +%例题 如果数据残缺不全(x,y,z) +% | 0 1 2 3 4 +%-----|------------------------ +% 2 | * * 80 82 84 +% 3 | 79 * 61 65 * +% 4 | 84 84 * * 86 +% 使用 +% x=[2,3,4,0,2,3,0,1,4]; +% y=[2,2,2,3,3,3,4,4,4]; +% z=[80,82,84,79,61,65,84,84,86]; +% subplot(2,1,1);stem3(x,y,z);title('RAW DATA'); +% xi=0:0.1:4;yi=2:0.2:4; +% [XI,YI]=meshgrid(xi,yi); +% ZI=griddata(x,y,z,XI,YI,'cubic'); +% subplot(2,1,2);mesh(XI,YI,ZI);title('GRIDDATA'); +% +%GRIDDATA Data gridding and surface fitting. +% ZI = GRIDDATA(X,Y,Z,XI,YI) fits a surface of the form Z = F(X,Y) +% to the data in the (usually) nonuniformly-spaced vectors (X,Y,Z) +% GRIDDATA interpolates this surface at the points specified by +% (XI,YI) to produce ZI. The surface always goes through the data +% points. XI and YI are usually a uniform grid (as produced by +% MESHGRID) and is where GRIDDATA gets its name. +% +% XI can be a row vector, in which case it specifies a matrix with +% constant columns. Similarly, YI can be a column vector and it +% specifies a matrix with constant rows. +% +% [XI,YI,ZI] = GRIDDATA(X,Y,Z,XI,YI) also returns the XI and YI +% formed this way (the results of [XI,YI] = MESHGRID(XI,YI)). +% +% [...] = GRIDDATA(...,'method') where 'method' is one of +% 'linear' - Triangle-based linear interpolation (default). +% 'cubic' - Triangle-based cubic interpolation. +% 'nearest' - Nearest neighbor interpolation. +% 'v4' - MATLAB 4 griddata method. +% defines the type of surface fit to the data. The 'cubic' and 'v4' +% methods produce smooth surfaces while 'linear' and 'nearest' have +% discontinuities in the first and zero-th derivative respectively. All +% the methods except 'v4' are based on a Delaunay triangulation of the +% data. +% +% See also INTERP2, DELAUNAY, MESHGRID. + +% Clay M. Thompson 8-21-95 +% Copyright (c) 1984-98 by The MathWorks, Inc. +% $Revision: 5.22 $ $Date: 1997/11/21 23:40:37 $ + +error(nargchk(5,6,nargin)) + +[msg,x,y,z,xi,yi] = xyzchk(x,y,z,xi,yi); +if ~isempty(msg), error(msg); end + +if nargin<6, method = 'linear'; end +if ~isstr(method), + error('METHOD must be one of ''linear'',''cubic'',''nearest'', or ''v4''.'); +end + + +% Sort x and y so duplicate points can be averaged before passing to delaunay + +% Need x,y and z to be column vectors +sz = prod(size(x)); +x = reshape(x,sz,1); +y = reshape(y,sz,1); +z = reshape(z,sz,1); +sxyz = sortrows([x y z],[2 1]); +x = sxyz(:,1); +y = sxyz(:,2); +z = sxyz(:,3); +ind = [0; y(2:end) == y(1:end-1) & x(2:end) == x(1:end-1); 0]; +if sum(ind) > 0 + warning('Duplicate x-y data points detected: using average of the z values'); + fs = find(ind(1:end-1) == 0 & ind(2:end) == 1); + fe = find(ind(1:end-1) == 1 & ind(2:end) == 0); + for i = 1 : length(fs) + % averaging z values + z(fe(i)) = mean(z(fs(i):fe(i))); + end + x = x(~ind(2:end)); + y = y(~ind(2:end)); + z = z(~ind(2:end)); +end + +switch lower(method), + case 'linear' + zi = linear(x,y,z,xi,yi); + case 'cubic' + zi = cubic(x,y,z,xi,yi); + case 'nearest' + zi = nearest(x,y,z,xi,yi); + case {'invdist','v4'} + zi = gdatav4(x,y,z,xi,yi); + otherwise + error('Unknown method.'); +end + +if nargout<=1, xi = zi; end + + +%------------------------------------------------------------ +function zi = linear(x,y,z,xi,yi) +%LINEAR Triangle-based linear interpolation + +% Reference: David F. Watson, "Contouring: A guide +% to the analysis and display of spacial data", Pergamon, 1994. + +siz = size(xi); +xi = xi(:); yi = yi(:); % Treat these as columns +x = x(:); y = y(:); % Treat these as columns + +% Triangularize the data +tri = delaunay(x,y,'sorted'); +if isempty(tri), + warning('Data cannot be triangulated.'); + zi = repmat(NaN,size(xi)); + return +end + +% Find the nearest triangle (t) +t = tsearch(x,y,tri,xi,yi); + +% Only keep the relevant triangles. +out = find(isnan(t)); +if ~isempty(out), t(out) = ones(size(out)); end +tri = tri(t,:); + +% Compute Barycentric coordinates (w). P. 78 in Watson. +del = (x(tri(:,2))-x(tri(:,1))) .* (y(tri(:,3))-y(tri(:,1))) - ... + (x(tri(:,3))-x(tri(:,1))) .* (y(tri(:,2))-y(tri(:,1))); +w(:,3) = ((x(tri(:,1))-xi).*(y(tri(:,2))-yi) - ... + (x(tri(:,2))-xi).*(y(tri(:,1))-yi)) ./ del; +w(:,2) = ((x(tri(:,3))-xi).*(y(tri(:,1))-yi) - ... + (x(tri(:,1))-xi).*(y(tri(:,3))-yi)) ./ del; +w(:,1) = ((x(tri(:,2))-xi).*(y(tri(:,3))-yi) - ... + (x(tri(:,3))-xi).*(y(tri(:,2))-yi)) ./ del; +w(out,:) = zeros(length(out),3); + +z = z(:).'; % Treat z as a row so that code below involving + % z(tri) works even when tri is 1-by-3. +zi = sum(z(tri) .* w,2); + +zi = reshape(zi,siz); + +if ~isempty(out), zi(out) = NaN; end +%------------------------------------------------------------ + +%------------------------------------------------------------ +function zi = cubic(x,y,z,xi,yi) +%TRIANGLE Triangle-based cubic interpolation + +% Reference: T. Y. Yang, "Finite Element Structural Analysis", +% Prentice Hall, 1986. pp. 446-449. +% +% Reference: David F. Watson, "Contouring: A guide +% to the analysis and display of spacial data", Pergamon, 1994. + +siz = size(xi); +xi = xi(:); yi = yi(:); % Treat these as columns +x = x(:); y = y(:); z = z(:); % Treat these as columns + +% Triangularize the data +tri = delaunay(x,y,'sorted'); +if isempty(tri), + warning('Data cannot be triangulated.'); + zi = repmat(NaN,size(xi)); + return +end + +% +% Estimate the gradient as the average the triangle slopes connected +% to each vertex +% +t1 = [x(tri(:,1)) y(tri(:,1)) z(tri(:,1))]; +t2 = [x(tri(:,2)) y(tri(:,2)) z(tri(:,2))]; +t3 = [x(tri(:,3)) y(tri(:,3)) z(tri(:,3))]; +Area = ((x(tri(:,2))-x(tri(:,1))) .* (y(tri(:,3))-y(tri(:,1))) - ... + (x(tri(:,3))-x(tri(:,1))) .* (y(tri(:,2))-y(tri(:,1))))/2; +nv = cross((t3-t1).',(t2-t1).').'; + +% Normalize normals +nv = nv ./ repmat(nv(:,3),1,3); + +% Sparse matrix is non-zero if the triangle specified the row +% index is connected to the point specified by the column index. +% Gradient estimate is area weighted average of triangles +% around a datum. +m = size(tri,1); +n = length(x); +i = repmat((1:m)',1,3); +T = sparse(i,tri,repmat(-nv(1:m,1).*Area,1,3),m,n); +A = sparse(i,tri,repmat(Area,1,3),m,n); +s = full(sum(A)); +gx = (full(sum(T))./(s + (s==0)))'; +T = sparse(i,tri,repmat(-nv(1:m,2).*Area,1,3),m,n); +gy = (full(sum(T))./(s + (s==0)))'; + +% Compute triangle areas and side lengths +i1 = [1 2 3]; i2 = [2 3 1]; i3 = [3 1 2]; +xx = x(tri); +yy = y(tri); +zz = z(tri); +gx = gx(tri); +gy = gy(tri); +len = sqrt((xx(:,i3)-xx(:,i2)).^2 + (yy(:,i3)-yy(:,i2)).^2); + +% Compute average normal slope +gn = ((gx(:,i2)+gx(:,i3)).*(yy(:,i2)-yy(:,i3)) - ... + (gy(:,i2)+gy(:,i3)).*(xx(:,i2)-xx(:,i3)))/2./len; + +% Compute triangle normal edge gradient at the center of each side (Wn) +Area = repmat(Area,1,3); +Wna = 1/4*(-2*yy(:,i2).*yy(:,i3)+yy(:,i2).^2+yy(:,i3).^2+xx(:,i2).^2 - ... + 2*xx(:,i2).*xx(:,i3)+xx(:,i3).^2).*zz; +Wna(:) = Wna-1/16.*(yy(:,i2).^2-2*yy(:,i2).*yy(:,i3)+yy(:,i3).^2+xx(:,i2).^2- ... + 2.*xx(:,i2).*xx(:,i3)+xx(:,i3).^2).*(-xx(:,i2)+2.*xx(:,i1)-xx(:,i3)).*gx; +Wna(:) = Wna-1/16.*(yy(:,i2).^2-2.*yy(:,i2).*yy(:,i3)+yy(:,i3).^2+xx(:,i2).^2- ... + 2.*xx(:,i2).*xx(:,i3)+xx(:,i3).^2).*(-yy(:,i2)+2.*yy(:,i1)-yy(:,i3)).*gy; +Wna(:) = Wna./Area./len(:,i1); + +Wnb = 1/4*(yy(:,i1).^2+yy(:,i1).*yy(:,i3)-3.*yy(:,i2).*yy(:,i1)+ ... + 3.*yy(:,i2).*yy(:,i3)-2.*yy(:,i3).^2+xx(:,i1).^2+xx(:,i1).*xx(:,i3)- ... + 3.*xx(:,i2).*xx(:,i1)+3.*xx(:,i2).*xx(:,i3)-2.*xx(:,i3).^2).*zz; +Wnb(:) = Wnb-1/16*(6*yy(:,i1).*xx(:,i2).*yy(:,i3)-3*yy(:,i1).^2.*xx(:,i2)- ... + 2*yy(:,i1).*xx(:,i1).*yy(:,i3)+2*yy(:,i1).^2.*xx(:,i1)- ... + 4*yy(:,i1).*xx(:,i3).*yy(:,i3)+yy(:,i1).^2.*xx(:,i3)- ... + 2*yy(:,i2).*xx(:,i3).*yy(:,i3)+2*yy(:,i2).*xx(:,i3).*yy(:,i1)+ ... + 2*yy(:,i2).*xx(:,i1).*yy(:,i3)-2*yy(:,i2).*xx(:,i1).*yy(:,i1)+ ... + 3*yy(:,i3).^2.*xx(:,i3)-3*yy(:,i3).^2.*xx(:,i2)-xx(:,i1).^2.*xx(:,i3)+ ... + 2*xx(:,i1).^3+10*xx(:,i2).*xx(:,i1).*xx(:,i3)-5*xx(:,i2).*xx(:,i1).^2- ... + 4*xx(:,i1).*xx(:,i3).^2-5*xx(:,i3).^2.*xx(:,i2)+3*xx(:,i3).^3).*gx; +Wnb(:) = Wnb-1/16*(-yy(:,i1).^2.*yy(:,i3)+2*yy(:,i1).^3+ ... + 10*yy(:,i2).*yy(:,i1).*yy(:,i3)-5*yy(:,i2).*yy(:,i1).^2- ... + 4*yy(:,i1).*yy(:,i3).^2-5*yy(:,i3).^2.*yy(:,i2)+3*yy(:,i3).^3+ ... + 6*yy(:,i2).*xx(:,i1).*xx(:,i3)-3*yy(:,i2).*xx(:,i1).^2- ... + 2*yy(:,i1).*xx(:,i1).*xx(:,i3)+2*yy(:,i1).*xx(:,i1).^2- ... + 4*yy(:,i3).*xx(:,i1).*xx(:,i3)+yy(:,i3).*xx(:,i1).^2- ... + 2*yy(:,i3).*xx(:,i2).*xx(:,i3)+2*yy(:,i3).*xx(:,i2).*xx(:,i1)+ ... + 2*yy(:,i1).*xx(:,i2).*xx(:,i3)-2*yy(:,i1).*xx(:,i2).*xx(:,i1)+ ... + 3*xx(:,i3).^2.*yy(:,i3)-3*yy(:,i2).*xx(:,i3).^2).*gy; +Wnb(:) = Wnb./Area./len(:,i2); + +Wnc = 1/4*(yy(:,i2).*yy(:,i1)+yy(:,i1).^2-2*yy(:,i2).^2+3*yy(:,i2).*yy(:,i3)- ... + 3.*yy(:,i1).*yy(:,i3)+xx(:,i2).*xx(:,i1)+xx(:,i1).^2-2.*xx(:,i2).^2+ ... + 3.*xx(:,i2).*xx(:,i3)-3.*xx(:,i1).*xx(:,i3)).*zz; +Wnc(:) = Wnc-1/16*(yy(:,i1).^2.*xx(:,i2)-4*yy(:,i1).*xx(:,i2).*yy(:,i2)+ ... + 2*yy(:,i1).^2.*xx(:,i1)-2*yy(:,i2).*xx(:,i1).*yy(:,i1)- ... + 3*yy(:,i1).^2.*xx(:,i3)+6*yy(:,i2).*xx(:,i3).*yy(:,i1)- ... + 3*yy(:,i2).^2.*xx(:,i3)+3*yy(:,i2).^2.*xx(:,i2)+ ... + 2*yy(:,i1).*xx(:,i2).*yy(:,i3)-2*yy(:,i2).*xx(:,i2).*yy(:,i3)- ... + 2*yy(:,i1).*xx(:,i1).*yy(:,i3)+2*yy(:,i2).*xx(:,i1).*yy(:,i3)+ ... + 2*xx(:,i1).^3-xx(:,i2).*xx(:,i1).^2-4*xx(:,i2).^2.*xx(:,i1)- ... + 5*xx(:,i1).^2.*xx(:,i3)+10*xx(:,i2).*xx(:,i1).*xx(:,i3)+ ... + 3*xx(:,i2).^3-5*xx(:,i2).^2.*xx(:,i3)).*gx; +Wnc(:) = Wnc-1/16*(2*yy(:,i1).^3-yy(:,i2).*yy(:,i1).^2- ... + 4*yy(:,i2).^2.*yy(:,i1)-5*yy(:,i1).^2.*yy(:,i3)+ ... + 10*yy(:,i2).*yy(:,i1).*yy(:,i3)+3*yy(:,i2).^3- ... + 5*yy(:,i2).^2.*yy(:,i3)+yy(:,i2).*xx(:,i1).^2- ... + 4*yy(:,i2).*xx(:,i1).*xx(:,i2)+2*yy(:,i1).*xx(:,i1).^2- ... + 2*yy(:,i1).*xx(:,i2).*xx(:,i1)-3*yy(:,i3).*xx(:,i1).^2+ ... + 6*yy(:,i3).*xx(:,i2).*xx(:,i1)-3*yy(:,i3).*xx(:,i2).^2+ ... + 3*yy(:,i2).*xx(:,i2).^2+2*yy(:,i2).*xx(:,i1).*xx(:,i3)- ... + 2*yy(:,i2).*xx(:,i2).*xx(:,i3)-2*yy(:,i1).*xx(:,i1).*xx(:,i3)+ ... + 2*yy(:,i1).*xx(:,i2).*xx(:,i3)).*gy; +Wnc(:) = Wnc./Area./len(:,i3); + +Wn = Wna(:,[1 2 3]) + Wnb(:,[3 1 2]) + Wnc(:,[2 3 1]); + +% Find the nearest triangle (t) +t = tsearch(x,y,tri,xi,yi); + +% Only keep the relevant triangles. +out = find(isnan(t)); +if ~isempty(out), t(out) = ones(size(out)); end +tri = tri(t,:); +Area = Area(t,:); +len = len(t,:); +xx = xx(t,:); +yy = yy(t,:); +zz = zz(t,:); +gx = gx(t,:); +gy = gy(t,:); +gn = gn(t,:); +Wn = Wn(t,:); + +% Compute Barycentric coordinates (w). P. 78 in Watson. +w = 1/2.*((xx(:,i2)-repmat(xi,1,3)).*(yy(:,i3)-repmat(yi,1,3)) - ... + (xx(:,i3)-repmat(xi,1,3)).*(yy(:,i2)-repmat(yi,1,3)))./Area; +w(out,:) = ones(length(out),3); + +N1 = w(:,i1) + w(:,i1).^2.*w(:,i2) + w(:,i1).^2.*w(:,i3) - ... + w(:,i1).*w(:,i2).^2 - w(:,i1).*w(:,i3).^2; +N2 = (xx(:,i2)-xx(:,i1)).*(w(:,i1).^2.*w(:,i2)+1/2.*w(:,i1).*w(:,i2).*w(:,i3))+ ... + (xx(:,i3)-xx(:,i1)).*(w(:,i1).^2.*w(:,i3)+1/2.*w(:,i1).*w(:,i2).*w(:,i3)); +N3 = (yy(:,i2)-yy(:,i1)).*(w(:,i1).^2.*w(:,i2)+1/2.*w(:,i1).*w(:,i2).*w(:,i3))+ ... + (yy(:,i3)-yy(:,i1)).*(w(:,i1).^2.*w(:,i3)+1/2.*w(:,i1).*w(:,i2).*w(:,i3)); +N1(out) = zeros(size(out)); +N2(out) = zeros(size(out)); +N3(out) = zeros(size(out)); + +M = 8*Area./len.*w(:,i1).*w(:,i2).^2.*w(:,i3).^2 ./ ... + (w(:,i1)+w(:,i2)+(w(:,i1)+w(:,i2)==0)) ./ ... + (w(:,i1)+w(:,i3)+(w(:,i1)+w(:,i3)==0)); +M(out,:) = zeros(length(out),3); + +zi = sum((N1.*zz + N2.*gx + N3.*gy + M.*(gn - Wn)).').'; + +zi = reshape(zi,siz); + +if ~isempty(out), zi(out) = NaN; end +%------------------------------------------------------------ + +%------------------------------------------------------------ +function zi = nearest(x,y,z,xi,yi) +%NEAREST Triangle-based nearest neightbor interpolation + +% Reference: David F. Watson, "Contouring: A guide +% to the analysis and display of spacial data", Pergamon, 1994. + +siz = size(xi); +xi = xi(:); yi = yi(:); % Treat these a columns +x = x(:); y = y(:); z = z(:); % Treat these as columns + +% Triangularize the data +tri = delaunay(x,y,'sorted'); +if isempty(tri), + warning('Data cannot be triangulated.'); + zi = repmat(NaN,size(xi)); + return +end + +% Find the nearest vertex +k = dsearch(x,y,tri,xi,yi); + +zi = k; +d = find(isfinite(k)); +zi(d) = z(k(d)); +zi = reshape(zi,siz); +%---------------------------------------------------------- + + +%---------------------------------------------------------- +function [xi,yi,zi] = gdatav4(x,y,z,xi,yi) +%GDATAV4 MATLAB 4 GRIDDATA interpolation + +% Reference: David T. Sandwell, Biharmonic spline +% interpolation of GEOS-3 and SEASAT altimeter +% data, Geophysical Research Letters, 2, 139-142, +% 1987. Describes interpolation using value or +% gradient of value in any dimension. + +xy = x(:) + y(:)*sqrt(-1); + +% Determine distances between points +d = xy(:,ones(1,length(xy))); +d = abs(d - d.'); +n = size(d,1); +% Replace zeros along diagonal with ones (so these don't show up in the +% find below or in the Green's function calculation). +d(1:n+1:prod(size(d))) = ones(1,n); + +non = find(d == 0); +if ~isempty(non), + % If we've made it to here, then some points aren't distinct. Remove + % the non-distinct points by averaging. + [r,c] = find(d == 0); + k = find(r < c); + r = r(k); c = c(k); % Extract unique (row,col) pairs + v = (z(r) + z(c))/2; % Average non-distinct pairs + + rep = find(diff(c)==0); + if ~isempty(rep), % More than two points need to be averaged. + runs = find(diff(diff(c)==0)==1)+1; + for i=1:length(runs), + k = find(c==c(runs(i))); % All the points in a run + v(runs(i)) = mean(z([r(k);c(runs(i))])); % Average (again) + end + end + z(r) = v; + if ~isempty(rep), + z(r(runs)) = v(runs); % Make sure average is in the dataset + end + + % Now remove the extra points. + x(c) = []; + y(c) = []; + z(c) = []; + xy(c,:) = []; + xy(:,c) = []; + d(c,:) = []; + d(:,c) = []; + + % Determine the non distinct points + ndp = sort([r;c]); + ndp(find(ndp(1:length(ndp)-1)==ndp(2:length(ndp)))) = []; + + warning(sprintf(['Averaged %d non-distinct points.\n' ... + ' Indices are: %s.'],length(ndp),num2str(ndp'))) +end + +% Determine weights for interpolation +g = (d.^2) .* (log(d)-1); % Green's function. +% Fixup value of Green's function along diagonal +g(1:size(d,1)+1:prod(size(d))) = zeros(size(d,1),1); +weights = g \ z(:); + +[m,n] = size(xi); +zi = zeros(size(xi)); +jay = sqrt(-1); +xy = xy.'; + +% Evaluate at requested points (xi,yi). Loop to save memory. +for i=1:m + for j=1:n + d = abs(xi(i,j)+jay*yi(i,j) - xy); + mask = find(d == 0); + if length(mask)>0, d(mask) = ones(length(mask),1); end + g = (d.^2) .* (log(d)-1); % Green's function. + % Value of Green's function at zero + if length(mask)>0, g(mask) = zeros(length(mask),1); end + zi(i,j) = g * weights; + end +end + +if nargout<=1, + xi = zi; +end +%---------------------------------------------------------- + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/INTERP.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/INTERP.M" index e95e3fb558f4513f1c7a127bd81d3c33db7ff644..5382da39c0fe98a701768b3af5333ea995f4dba3 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/INTERP.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/INTERP.M" @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:2133aec16fa1b31b7b239691bf9c02f01c46bb6d333bc4812c1b5aebce53a5c8 -size 220 +function yi=interp(x,y,xi,method) +% 一维非单调数据插值 +% 用法参考interp1,唯一区别是interp不要求节点是单调的 + +% L.J.HU 4-15-1999 + +x=x(:);y=y(:); +z=[x,y]; +z=sortrows(z); +yi=interp1(z(:,1),z(:,2),xi,method); + + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/INTERP1.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/INTERP1.M" index ed1cddbfd3263496f058b2e1bcefe12bcab4c3f4..fa00d68c09001f627c2cf6a0fc805ad44219ad90 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/INTERP1.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/INTERP1.M" @@ -1,3 +1,416 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:0c2a23417b98f31bbc6e035b358569010c58018c508b4aef0198702604834ce9 -size 13206 +function yi = interp1(varargin) +% yi=interp1(x,y,xi)根据数据(x,y)给出在xi的线性插值结果yi. +% yi=interp1(x,y,xi,'spline')使用三次样条插值. +% yi=interp1(x,y,xi,'cubic')使用三次插值. +% 例如 +% clear;close;fplot('sin',[0,2*pi]);hold on; +% x=0:2*pi;y=sin(x); +% h1=plot(x,y,'ko'); +% xi=[1:5]+0.5; +% yi=interp1(x,y,xi,'linear'); +% h2=plot(xi,yi,'kx'); +% yi=interp1(x,y,xi,'spline'); +% h3=plot(xi,yi,'k*'); +% legend([h1;h2;h3],'data','linear','spline'); +% hold off; +% +%INTERP1 1-D interpolation (table lookup). +% YI = INTERP1(X,Y,XI) interpolates to find YI, the values of +% the underlying function Y at the points in the vector XI. +% The vector X specifies the points at which the data Y is +% given. If Y is a matrix, then the interpolation is performed +% for each column of Y and YI will be length(XI)-by-size(Y,2). +% Out of range values are returned as NaN. +% +% YI = INTERP1(Y,XI) assumes X = 1:N, where N is the length(Y) +% for vector Y or SIZE(Y,1) for matrix Y. +% +% Interpolation is the same operation as "table lookup". Described in +% "table lookup" terms, the "table" is [X,Y] and INTERP1 "looks-up" +% the elements of XI in X, and, based upon their location, returns +% values YI interpolated within the elements of Y. +% +% YI = INTERP1(X,Y,XI,'method') specifies alternate methods. +% The default is linear interpolation. Available methods are: +% +% 'nearest' - nearest neighbor interpolation +% 'linear' - linear interpolation +% 'spline' - cubic spline interpolation +% 'cubic' - cubic interpolation +% +% All the interpolation methods require that X be monotonic. X can be +% non-uniformly spaced. For faster interpolation when X is equally +% spaced and monotonic, use the methods '*linear', '*cubic', '*nearest'. +% For faster linear interpolation when X is non-uniformly spaced +% see INTERP1Q. +% +% For example, generate a coarse sine curve and interpolate over a +% finer abscissa: +% x = 0:10; y = sin(x); xi = 0:.25:10; +% yi = interp1(x,y,xi); plot(x,y,'o',xi,yi) +% +% See also INTERP1Q, INTERPFT, SPLINE, INTERP2, INTERP3, INTERPN. + +% Copyright (c) 1984-98 by The MathWorks, Inc. +% $Revision: 5.25 $ $Date: 1997/11/21 23:40:40 $ + +error(nargchk(2,4,nargin)); + +bypass = 0; +uniform = 1; +if isstr(varargin{end}), + narg = nargin-1; + method = [varargin{end} ' ']; % Protect against short string. + if method(1)=='*', % Direct call bypass. + if method(2)=='l', % linear interpolation. + yi = linear(varargin{1:end-1}); + return + + elseif method(2)=='c', % cubic interpolation + yi = cubic(varargin{1:end-1}); + return + + elseif method(2)=='n', % Nearest neighbor interpolation + yi = nearest(varargin{1:end-1}); + return + + elseif method(2)=='s', % Spline interpolation + method = 'spline'; bypass = 1; + + else + error([deblank(method),' is an invalid method.']); + + end + elseif method(1)=='s', % Spline interpolation + method = 'spline'; bypass = 1; + end + +else + narg = nargin; + method = 'linear'; +end + +if narg==2, % interp1(y,xi) + y = varargin{1}; + if min(size(y))==1, x = 1:length(y); else x = 1:size(y,1); end + [msg,x,y,xi] = xychk(x,varargin{1:2}); + +elseif narg==3, % interp1(x,y,xi) + [msg,x,y,xi] = xychk(varargin{1:3}); + +end + +if ~isempty(msg), error(msg); end + +if isempty(xi), yi = []; return, end +if min(size(xi))~=1, error('XI must be a vector.'); end + +x = x(:); % Make sure x is a column vector. +if min(size(y))==1, y = y(:); end % Make sure y is a column vector. +siz = size(xi); xi = xi(:); % Make sure xi is a column vector. + +% +% Check for non-equally spaced data. If so, map x and +% xi to matrix (row,col) coordinate system. +% +if length(x)>2 & ~bypass, + dx = diff(x); + if max(abs(diff(dx))) > eps*max(x), + if any(dx < 0), % Flip orientation of data so x is increasing. + if size(x,1)==1, + x = fliplr(x); y = fliplr(y); + dx = -fliplr(dx); + else + x(:) = flipud(x); y(:) = flipud(y); + dx(:) = -flipud(dx); + end + end + + if any(dx<=0), + error('X must be monotonic.'); + return + end + + % Only nearest needs this mapping code now + if method(1)=='n', + + % Determine the nearest location of xi in x + [xxi,j] = sort(xi(:)); + [dum,i] = sort([x;xxi]); + ui(i) = 1:length(i); + ui = (ui(length(x)+1:end) - (1:length(xxi)))'; + ui(j) = ui; + + % Map values in xi to index offset (ui) via linear interpolation + ui(ui<1) = 1; + ui(ui>length(x)-1) = length(x)-1; + ui = ui + (xi(:)-x(ui))./(x(ui+1)-x(ui)); + + x = (1:length(x)).'; + xi = ui; + else + uniform = 0; + end + end +end + +% +% Now do the interpolation based on the method flag +% +if method(1)=='n', % Nearest neighbor interpolation + yi = nearest(x,y,xi); + +elseif method(1)=='l', % Linear interpolation + if uniform + yi = linear(x,y,xi); + else + yi = interp1q(x,y,xi); + end + +elseif method(1)=='s', % Spline interpolation + yi = spline(x,y.',xi(:).').'; + +elseif method(1)=='c', % Cubic interpolation + if uniform + yi = cubic(x,y,xi); + else + d = find(xi < min(x) | xi > max(x)); + yi = spline(x,y.',xi(:).').'; + if min(size(yi))==1, yi(d) = NaN; else yi(d,:) = NaN; end + end + +else + error([deblank(method),' is an invalid method.']); + +end + +if (min(size(yi))==1) & (prod(siz)>1), yi = reshape(yi,siz); end + + +%------------------------------------------------------ +function F=linear(x,y,u) +%LINEAR Linear Interpolation of a 1-D function. +% F=LINEAR(Y,XI) returns the value of the 1-D function Y at the +% points XI using linear interpolation. length(F)=length(XI). XI is +% an index into the vector Y. Y is the value of the function +% evaluated uniformly on a interval. If Y is a matrix, then +% the interpolation is performed for each column of Y in which +% case F is length(XI)-by-size(Y,2). +% +% If Y is of length N then XI must contain values between 1 and N. +% The value NaN is returned if this is not the case. +% +% F = LINEAR(X,Y,XI) uses the vector X to specify the coordinates +% of the underlying interval. X must be equally spaced and +% monotonic. NaN's are returned for values of XI outside the +% coordinates in X. +% +% See also CUBIC, INTERP1. + +% Clay M. Thompson 7-4-91 + +if nargin==2, % No X specified. + u = y; y = x; + % Check for vector problem. If so, make everything a column vector. + if min(size(y))==1, y = y(:); end + [nrows,ncols] = size(y); + +elseif nargin==3, % X specified. + % Check for vector problem. If so, make everything a column vector. + if min(size(y))==1, y = y(:); end + if min(size(x))==1, x = x(:); end + [nrows,ncols] = size(y); + % Scale and shift u to be indices into Y. + if (min(size(x))~=1), error('X must be a vector.'); end + [m,n] = size(x); + if m ~= nrows, + error('The length of X must match the number of rows of Y.'); + end + u = 1 + (u-x(1))/(x(m)-x(1))*(nrows-1); + +else + error('Wrong number of input arguments.'); +end + +if isempty(u), F = []; return, end +if nrows<2, error('Y must have at least 2 rows.'); end + +siz = size(u); +u = u(:); % Make sure u is a vector +u = u(:,ones(1,ncols)); % Expand u +[m,n] = size(u); + +% Check for out of range values of u and set to 1 +uout = find(u<1 | u>nrows); +if ~isempty(uout), u(uout) = 1; end + +% Interpolation parameters, check for boundary value. +s = (u - floor(u)); +u = floor(u); +if isempty(u), d = u; else d = find(u==nrows); end +if length(d)>0, u(d) = u(d)-1; s(d) = s(d)+1; end + +% Now interpolate. +v = (0:n-1)*nrows; +ndx = u+v(ones(m,1),:); +F = ( y(ndx).*(1-s) + y(ndx+1).*s ); + +% Now set out of range values to NaN. +if ~isempty(uout), F(uout) = NaN; end + +if (min(size(F))==1) & (prod(siz)>1), F = reshape(F,siz); end + + +%------------------------------------------------------ +function F=cubic(x,y,u) +%CUBIC Cubic Interpolation of a 1-D function. +% YI=CUBIC(Y,XI) returns the value of the 1-D function Y at the +% points XI using cubic interpolation. length(YI)=length(XI). XI is +% an index into the vector Y. Y is the value of the function +% evaluated uniformly on a interval. If Y is a matrix, then +% the interpolation is performed for each column of Y in which +% case F is length(XI)-by-size(Y,2). +% +% If Y is of length N then XI must contain values between 1 and N. +% The value NaN is returned if this is not the case. +% +% YI = CUBIC(X,Y,XI) uses the vector X to specify the coordinates +% of the underlying interval. X must be equally spaced and +% monotonic. NaN's are returned for values of XI outside the +% coordinates in X. +% +% See also LINEAR, INTERP1. + +% Clay M. Thompson 7-4-91 + +% Based on "Cubic Convolution Interpolation for Digital Image +% Processing", Robert G. Keys, IEEE Trans. on Acoustics, Speech, and +% Signal Processing, Vol. 29, No. 6, Dec. 1981, pp. 1153-1160. + +if nargin==2, % No X specified. + u = y; y = x; + % Check for vector problem. If so, make everything a column vector. + if min(size(y))==1, y = y(:); end + [nrows,ncols] = size(y); + +elseif nargin==3, % X specified. + % Check for vector problem. If so, make everything a column vector. + if min(size(y))==1, y = y(:); end + if min(size(x))==1, x = x(:); end + [nrows,ncols] = size(y); + % Scale and shift u to be indices into Y. + if (min(size(x))~=1), error('X must be a vector.'); end + [m,n] = size(x); + if m ~= nrows, + error('The length of X must match the number of rows of Y.'); + end + u = 1 + (u-x(1))/(x(m)-x(1))*(nrows-1); + +else + error('Wrong number of input arguments.'); +end + +if isempty(u), F = []; return, end +if nrows<3, error('Y must have at least 3 rows.'); end + +siz = size(u); u = u(:); % Make sure u is a vector. +u = u(:,ones(1,ncols)); % Expand u +[m,n] = size(u); + +% Check for out of range values of u and set to 1 +if isempty(u), uout = u; else uout = find(u<1 | u>nrows); end +if ~isempty(uout), u(uout) = 1; end + +% Interpolation parameters, check for boundary value. +s = (u - floor(u)); +u = floor(u); +if isempty(u), d = u; else d = find(u==nrows); end +if length(d)>0, u(d) = u(d)-1; s(d) = s(d)+1; end + +% Expand y so interpolation is valid at the boundary. +y = [3*y(1,:)-3*y(2,:)+y(3,:);y;3*y(nrows,:)-3*y(nrows-1,:)+y(nrows-2,:)]; +nrows = nrows + 2; + +% Now interpolate using computationally efficient algorithm. +s2 = s.*s; s3 = s.*s2; +v = (0:n-1)*nrows; +ndx = u+v(ones(m,1),:); +F = y(ndx).*(-s3+2*s2-s) + y(ndx+1).*(3*s3-5*s2+2) + ... + y(ndx+2).*(-3*s3+4*s2+s) + y(ndx+3).*(s3-s2); +F = F/2; + +% Now set out of range values to NaN. +if ~isempty(uout), F(uout) = NaN; end + +if (min(size(F))==1) & (prod(siz)>1), F = reshape(F,siz); end + + +%------------------------------------------------------ +function F = nearest(x,y,u) +%NEAREST Nearest Neighbor Interpolation of a 1-D function. +% YI=NEAREST(Y,XI) returns the value of the 1-D function Y at +% the points XI using nearest neighbor interpolation, +% length(YI)=length(XI). XI is an index into the vector Y. Y is +% the value of the function evaluated uniformly on a interval. If +% Y is a matrix, then the interpolation is performed for each +% column of Y in which case F is length(XI)-by-size(Y,2). +% +% If Y is of length N then XI must contain values between 1 and N. +% The value NaN is returned if this is not the case. +% +% YI = NEAREST(X,Y,XI) uses the vector X to specify the +% coordinates of the underlying interval. X must be equally spaced +% and monotonic. NaN's are returned for values of XI outside the +% coordinates in X. +% +% See also LINEAR, INTERP1. + +% Clay M. Thompson 7-4-91 + +if nargin==2, % No X specified. + u = y; y = x; + % Check for vector problem. If so, make everything a column vector. + if min(size(y))==1, y = y(:); end + [nrows,ncols] = size(y); + +elseif nargin==3, % X specified. + % Check for vector problem. If so, make everything a column vector. + if min(size(y))==1, y = y(:); end + if min(size(x))==1, x = x(:); end + [nrows,ncols] = size(y); + % Scale and shift u to be indices into Y. + if (min(size(x))~=1), error('X must be a vector.'); end + [m,n] = size(x); + if m ~= nrows, + error('The length of X must match the number of rows of Y.'); + end + u = 1 + (u-x(1))/(x(m)-x(1))*(nrows-1); + +else + error('Wrong number of input arguments.'); +end + +if isempty(u), F = []; return, end +if nrows<2, error('Y must have at least 2 rows.'); end + +siz = size(u); u = u(:); % Make sure u is a vector. +u = u(:,ones(1,ncols)); % Expand u +[m,n] = size(u); + +% Check for out of range values of u and set to 1 +uout = find(u<.5 | u>=nrows+.5); +if ~isempty(uout), u(uout) = 1; end + +% Interpolation parameters +s = (u - round(u)); +u = round(u); + +% Now interpolate +v = (0:n-1)*nrows; +ndx = u+v(ones(m,1),:); +F = y(ndx); + +% Now set out of range values to NaN. +if ~isempty(uout), F(uout) = NaN; end + +if (min(size(F))==1) & (prod(siz)>1), F = reshape(F,siz); end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/INTERP2.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/INTERP2.M" index 79fce294f130db009681d95a81c5ce74b7861158..2c65b509baae00f118eee32429d20a7f1e99aa39 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/INTERP2.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/INTERP2.M" @@ -1,3 +1,555 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:89f0cae3601524a3e6cd6b6757e6859df524d58f85c05c38986343dc14fabc37 -size 18639 +function zi = interp2(varargin) +%二元函数网格数据的插值 +%ZI=interp2(X,Y,Z,XI,YI,'方法') 求二元函数z=f(x,y)的插值. +% 这里X,Y,Z是同维数矩阵表示网格数据,XI,YI,ZI是同维数矩阵表示插值点. +%或ZI=interp2(x,y,z,xi,yi)其中,x,xi为行向量,y,yi为列向量. +% 'bilinear',使用双线性插值(默认) +% 'spline' 使用二元三次样条插值. +% 'cubic' 使用二元三次插值. +%例如 +% clear;close;x=0:4;y=2:4; +% Z=[82 81 80 82 84;79 63 61 65 81;84 84 82 85 86]; +% [X,Y]=meshgrid(x,y); +% subplot(2,1,1); +% mesh(X,Y,Z);title('RAW DATA'); +% xi=0:0.1:4;yi=2:0.2:4; +% [XI,YI]=meshgrid(xi,yi); +% zspline=interp2(x,y,z,XI,YI,'spline'); +% subplot(2,1,2); +% mesh(XI,YI,zspline); +% title('SPLINE'); +% +%INTERP2 2-D interpolation (table lookup). +% ZI = INTERP2(X,Y,Z,XI,YI) interpolates to find ZI, the values of the +% underlying 2-D function Z at the points in matrices XI and YI. +% Matrices X and Y specify the points at which the data Z is given. +% Out of range values are returned as NaN. +% +% XI can be a row vector, in which case it specifies a matrix with +% constant columns. Similarly, YI can be a column vector and it +% specifies a matrix with constant rows. +% +% ZI = INTERP2(Z,XI,YI) assumes X=1:N and Y=1:M where [M,N]=SIZE(Z). +% ZI = INTERP2(Z,NTIMES) expands Z by interleaving interpolates between +% every element, working recursively for NTIMES. INTERP2(Z) is the +% same as INTERP2(Z,1). +% +% ZI = INTERP2(...,'method') specifies alternate methods. The default +% is linear interpolation. Available methods are: +% +% 'nearest' - nearest neighbor interpolation +% 'linear' - bilinear interpolation +% 'cubic' - bicubic interpolation +% 'spline' - spline interpolation +% +% All the interpolation methods require that X and Y be monotonic and +% plaid (as if they were created using MESHGRID). X and Y can be +% non-uniformly spaced. For faster interpolation when X and Y are +% equally spaced and monotonic, use the methods '*linear', '*cubic', or +% '*nearest'. +% +% For example, to generate a coarse approximation of PEAKS and +% interpolate over a finer mesh: +% [x,y,z] = peaks(10); [xi,yi] = meshgrid(-3:.1:3,-3:.1:3); +% zi = interp2(x,y,z,xi,yi); mesh(xi,yi,zi) +% +% See also INTERP1, INTERP3, INTERPN, MESHGRID, GRIDDATA. + +% Copyright (c) 1984-98 by The MathWorks, Inc. +% $Revision: 5.26 $ + +error(nargchk(1,6,nargin)); + +bypass = 0; +uniform = 1; +if isstr(varargin{end}), + narg = nargin-1; + method = [varargin{end} ' ']; % Protect against short string. + if method(1)=='*', % Direct call bypass. + if method(2)=='l' | all(method(2:4)=='bil'), % bilinear interpolation. + zi = linear(varargin{1:end-1}); + return + + elseif method(2)=='c' | all(method(2:4)=='bic'), % bicubic interpolation + zi = cubic(varargin{1:end-1}); + return + + elseif method(2)=='n', % Nearest neighbor interpolation + zi = nearest(varargin{1:end-1}); + return + + elseif method(2)=='s', % spline interpolation + method = 'spline'; bypass = 1; + + else + error([deblank(method),' is an invalid method.']); + + end + elseif method(1)=='s', % Spline interpolation + method = 'spline'; bypass = 1; + end + +else + narg = nargin; + method = 'linear'; +end + +if narg==1, % interp2(z), % Expand Z + [nrows,ncols] = size(varargin{1}); + xi = 1:.5:ncols; yi = (1:.5:nrows)'; + x = 1:ncols; y = (1:nrows); + [msg,x,y,z,xi,yi] = xyzchk(x,y,varargin{1},xi,yi); + +elseif narg==2. % interp2(z,n), Expand Z n times + [nrows,ncols] = size(varargin{1}); + ntimes = floor(varargin{2}(1)); + xi = 1:1/(2^ntimes):ncols; yi = (1:1/(2^ntimes):nrows)'; + x = 1:ncols; y = (1:nrows); + [msg,x,y,z,xi,yi] = xyzchk(x,y,varargin{1},xi,yi); + +elseif narg==3, % interp2(z,xi,yi) + [nrows,ncols] = size(varargin{1}); + x = 1:ncols; y = (1:nrows); + [msg,x,y,z,xi,yi] = xyzchk(x,y,varargin{1:3}); + +elseif narg==4, + error('Wrong number of input arguments.'); + +elseif narg==5, % linear(x,y,z,xi,yi) + [msg,x,y,z,xi,yi] = xyzchk(varargin{1:5}); + +end + +if ~isempty(msg), error(msg); end + +% +% Check for plaid data. +% +xx = x(1,:); yy = y(:,1); +if (size(x,2)>1 & ~isequal(repmat(xx,size(x,1),1),x)) | ... + (size(y,1)>1 & ~isequal(repmat(yy,1,size(y,2)),y)), + error(sprintf(['X and Y must be matrices produced by MESHGRID. Use' ... + ' GRIDDATA instead \nof INTERP2 for scattered data.'])); +end + +% +% Check for non-equally spaced data. If so, map (x,y) and +% (xi,yi) to matrix (row,col) coordinate system. +% +if ~bypass, + xx = xx.'; % Make sure it's a column. + dx = diff(xx); dy = diff(yy); + xdiff = max(abs(diff(dx))); if isempty(xdiff), xdiff = 0; end + ydiff = max(abs(diff(dy))); if isempty(ydiff), ydiff = 0; end + if (xdiff > eps*max(abs(xx))) | (ydiff > eps*max(abs(yy))), + if any(dx < 0), % Flip orientation of data so x is increasing. + x = fliplr(x); y = fliplr(y); z = fliplr(z); + xx = flipud(xx); dx = -flipud(dx); + end + if any(dy < 0), % Flip orientation of data so y is increasing. + x = flipud(x); y = flipud(y); z = flipud(z); + yy = flipud(yy); dy = -flipud(dy); + end + + if any(dx<=0) | any(dy<=0), + error('X and Y must be monotonic vectors or matrices produced by MESHGRID.'); + end + + % Bypass mapping code for cubic + if method(1)~='c', + % Determine the nearest location of xi in x + [xxi,j] = sort(xi(:)); + [dum,i] = sort([xx;xxi]); + ui(i) = (1:length(i)); + ui = (ui(length(xx)+1:end)-(1:length(xxi)))'; + ui(j) = ui; + + % Map values in xi to index offset (ui) via linear interpolation + ui(ui<1) = 1; + ui(ui>length(xx)-1) = length(xx)-1; + ui = ui + (xi(:)-xx(ui))./(xx(ui+1)-xx(ui)); + + % Determine the nearest location of yi in y + [yyi,j] = sort(yi(:)); + [dum,i] = sort([yy;yyi(:)]); + vi(i) = (1:length(i)); + vi = (vi(length(yy)+1:end)-(1:length(yyi)))'; + vi(j) = vi; + + % Map values in yi to index offset (vi) via linear interpolation + vi(vi<1) = 1; + vi(vi>length(yy)-1) = length(yy)-1; + vi = vi + (yi(:)-yy(vi))./(yy(vi+1)-yy(vi)); + + [x,y] = meshgrid(1:size(x,2),1:size(y,1)); + xi(:) = ui; yi(:) = vi; + else + uniform = 0; + end + end +end + +% Now do the interpolation based on method. +method = [lower(method),' ']; % Protect against short string + +if method(1)=='l' | all(method(1:3)=='bil'), % bilinear interpolation. + zi = linear(x,y,z,xi,yi); + +elseif method(1)=='c' | all(method(1:3)=='bic'), % bicubic interpolation + if uniform + zi = cubic(x,y,z,xi,yi); + else + d = find(xi < min(x(:)) | xi > max(x(:)) | ... + yi < min(y(:)) | yi > max(y(:))); + zi = spline2(x,y,z,xi,yi); + zi(d) = NaN; + end + +elseif method(1)=='n', % Nearest neighbor interpolation + zi = nearest(x,y,z,xi,yi); + +elseif method(1)=='s', % Spline interpolation + zi = spline2(x,y,z,xi,yi); + +else + error([deblank(method),' is an invalid method.']); + +end + +%------------------------------------------------------ +function F = linear(arg1,arg2,arg3,arg4,arg5) +%LINEAR 2-D bilinear data interpolation. +% ZI = LINEAR(X,Y,Z,XI,YI) uses bilinear interpolation to +% find ZI, the values of the underlying 2-D function in Z at the points +% in matrices XI and YI. Matrices X and Y specify the points at which +% the data Z is given. X and Y can also be vectors specifying the +% abscissae for the matrix Z as for MESHGRID. In both cases, X +% and Y must be equally spaced and monotonic. +% +% Values of NaN are returned in ZI for values of XI and YI that are +% outside of the range of X and Y. +% +% If XI and YI are vectors, LINEAR returns vector ZI containing +% the interpolated values at the corresponding points (XI,YI). +% +% ZI = LINEAR(Z,XI,YI) assumes X = 1:N and Y = 1:M, where +% [M,N] = SIZE(Z). +% +% ZI = LINEAR(Z,NTIMES) returns the matrix Z expanded by interleaving +% bilinear interpolates between every element, working recursively +% for NTIMES. LINEAR(Z) is the same as LINEAR(Z,1). +% +% This function needs about 4 times SIZE(XI) memory to be available. +% +% See also INTERP2, CUBIC. + +% Clay M. Thompson 4-26-91, revised 7-3-91, 3-22-93 by CMT. + +if nargin==1, % linear(z), Expand Z + [nrows,ncols] = size(arg1); + s = 1:.5:ncols; sizs = size(s); + t = (1:.5:nrows)'; sizt = size(t); + s = s(ones(sizt),:); + t = t(:,ones(sizs)); + +elseif nargin==2, % linear(z,n), Expand Z n times + [nrows,ncols] = size(arg1); + ntimes = floor(arg2); + s = 1:1/(2^ntimes):ncols; sizs = size(s); + t = (1:1/(2^ntimes):nrows)'; sizt = size(t); + s = s(ones(sizt),:); + t = t(:,ones(sizs)); + +elseif nargin==3, % linear(z,s,t), No X or Y specified. + [nrows,ncols] = size(arg1); + s = arg2; t = arg3; + +elseif nargin==4, + error('Wrong number of input arguments.'); + +elseif nargin==5, % linear(x,y,z,s,t), X and Y specified. + [nrows,ncols] = size(arg3); + mx = prod(size(arg1)); my = prod(size(arg2)); + if any([mx my] ~= [ncols nrows]) & ... + ~isequal(size(arg1),size(arg2),size(arg3)) + error('The lengths of the X and Y vectors must match Z.'); + end + if any([nrows ncols]<[2 2]), error('Z must be at least 2-by-2.'); end + s = 1 + (arg4-arg1(1))/(arg1(mx)-arg1(1))*(ncols-1); + t = 1 + (arg5-arg2(1))/(arg2(my)-arg2(1))*(nrows-1); + +end + +if any([nrows ncols]<[2 2]), error('Z must be at least 2-by-2.'); end +if ~isequal(size(s),size(t)), + error('XI and YI must be the same size.'); +end + +% Check for out of range values of s and set to 1 +sout = find((s<1)|(s>ncols)); +if length(sout)>0, s(sout) = ones(size(sout)); end + +% Check for out of range values of t and set to 1 +tout = find((t<1)|(t>nrows)); +if length(tout)>0, t(tout) = ones(size(tout)); end + +% Matrix element indexing +ndx = floor(t)+floor(s-1)*nrows; + +% Compute intepolation parameters, check for boundary value. +if isempty(s), d = s; else d = find(s==ncols); end +s(:) = (s - floor(s)); +if length(d)>0, s(d) = s(d)+1; ndx(d) = ndx(d)-nrows; end + +% Compute intepolation parameters, check for boundary value. +if isempty(t), d = t; else d = find(t==nrows); end +t(:) = (t - floor(t)); +if length(d)>0, t(d) = t(d)+1; ndx(d) = ndx(d)-1; end +d = []; + +% Now interpolate, reuse u and v to save memory. +if nargin==5, + F = ( arg3(ndx).*(1-t) + arg3(ndx+1).*t ).*(1-s) + ... + ( arg3(ndx+nrows).*(1-t) + arg3(ndx+(nrows+1)).*t ).*s; +else + F = ( arg1(ndx).*(1-t) + arg1(ndx+1).*t ).*(1-s) + ... + ( arg1(ndx+nrows).*(1-t) + arg1(ndx+(nrows+1)).*t ).*s; +end + +% Now set out of range values to NaN. +if length(sout)>0, F(sout) = NaN; end +if length(tout)>0, F(tout) = NaN; end + + + +%------------------------------------------------------ +function F = cubic(arg1,arg2,arg3,arg4,arg5) +%CUBIC 2-D bicubic data interpolation. +% CUBIC(...) is the same as LINEAR(....) except that it uses +% bicubic interpolation. +% +% This function needs about 7-8 times SIZE(XI) memory to be available. +% +% See also LINEAR. + +% Clay M. Thompson 4-26-91, revised 7-3-91, 3-22-93 by CMT. + +% Based on "Cubic Convolution Interpolation for Digital Image +% Processing", Robert G. Keys, IEEE Trans. on Acoustics, Speech, and +% Signal Processing, Vol. 29, No. 6, Dec. 1981, pp. 1153-1160. + +if nargin==1, % cubic(z), Expand Z + [nrows,ncols] = size(arg1); + s = 1:.5:ncols; sizs = size(s); + t = (1:.5:nrows)'; sizt = size(t); + s = s(ones(sizt),:); + t = t(:,ones(sizs)); + +elseif nargin==2, % cubic(z,n), Expand Z n times + [nrows,ncols] = size(arg1); + ntimes = floor(arg2); + s = 1:1/(2^ntimes):ncols; sizs = size(s); + t = (1:1/(2^ntimes):nrows)'; sizt = size(t); + s = s(ones(sizt),:); + t = t(:,ones(sizs)); + +elseif nargin==3, % cubic(z,s,t), No X or Y specified. + [nrows,ncols] = size(arg1); + s = arg2; t = arg3; + +elseif nargin==4, + error('Wrong number of input arguments.'); + +elseif nargin==5, % cubic(x,y,z,s,t), X and Y specified. + [nrows,ncols] = size(arg3); + mx = prod(size(arg1)); my = prod(size(arg2)); + if any([mx my] ~= [ncols nrows]) & ... + ~isequal(size(arg1),size(arg2),size(arg3)) + error('The lengths of the X and Y vectors must match Z.'); + end + if any([nrows ncols]<[3 3]), error('Z must be at least 3-by-3.'); end + s = 1 + (arg4-arg1(1))/(arg1(mx)-arg1(1))*(ncols-1); + t = 1 + (arg5-arg2(1))/(arg2(my)-arg2(1))*(nrows-1); + +end + +if any([nrows ncols]<[3 3]), error('Z must be at least 3-by-3.'); end +if ~isequal(size(s),size(t)), + error('XI and YI must be the same size.'); +end + +% Check for out of range values of s and set to 1 +sout = find((s<1)|(s>ncols)); +if length(sout)>0, s(sout) = ones(size(sout)); end + +% Check for out of range values of t and set to 1 +tout = find((t<1)|(t>nrows)); +if length(tout)>0, t(tout) = ones(size(tout)); end + +% Matrix element indexing +ndx = floor(t)+floor(s-1)*(nrows+2); + +% Compute intepolation parameters, check for boundary value. +if isempty(s), d = s; else d = find(s==ncols); end +s(:) = (s - floor(s)); +if length(d)>0, s(d) = s(d)+1; ndx(d) = ndx(d)-nrows-2; end + +% Compute intepolation parameters, check for boundary value. +if isempty(t), d = t; else d = find(t==nrows); end +t(:) = (t - floor(t)); +if length(d)>0, t(d) = t(d)+1; ndx(d) = ndx(d)-1; end +d = []; + +if nargin==5, + % Expand z so interpolation is valid at the boundaries. + zz = zeros(size(arg3)+2); + zz(1,2:ncols+1) = 3*arg3(1,:)-3*arg3(2,:)+arg3(3,:); + zz(2:nrows+1,2:ncols+1) = arg3; + zz(nrows+2,2:ncols+1) = 3*arg3(nrows,:)-3*arg3(nrows-1,:)+arg3(nrows-2,:); + zz(:,1) = 3*zz(:,2)-3*zz(:,3)+zz(:,4); + zz(:,ncols+2) = 3*zz(:,ncols+1)-3*zz(:,ncols)+zz(:,ncols-1); + nrows = nrows+2; ncols = ncols+2; +else + % Expand z so interpolation is valid at the boundaries. + zz = zeros(size(arg1)+2); + zz(1,2:ncols+1) = 3*arg1(1,:)-3*arg1(2,:)+arg1(3,:); + zz(2:nrows+1,2:ncols+1) = arg1; + zz(nrows+2,2:ncols+1) = 3*arg1(nrows,:)-3*arg1(nrows-1,:)+arg1(nrows-2,:); + zz(:,1) = 3*zz(:,2)-3*zz(:,3)+zz(:,4); + zz(:,ncols+2) = 3*zz(:,ncols+1)-3*zz(:,ncols)+zz(:,ncols-1); + nrows = nrows+2; ncols = ncols+2; +end + +% Now interpolate using computationally efficient algorithm. +t0 = ((2-t).*t-1).*t; +t1 = (3*t-5).*t.*t+2; +t2 = ((4-3*t).*t+1).*t; +t(:) = (t-1).*t.*t; +F = ( zz(ndx).*t0 + zz(ndx+1).*t1 + zz(ndx+2).*t2 + zz(ndx+3).*t ) ... + .* (((2-s).*s-1).*s); +ndx(:) = ndx + nrows; +F(:) = F + ( zz(ndx).*t0 + zz(ndx+1).*t1 + zz(ndx+2).*t2 + zz(ndx+3).*t ) ... + .* ((3*s-5).*s.*s+2); +ndx(:) = ndx + nrows; +F(:) = F + ( zz(ndx).*t0 + zz(ndx+1).*t1 + zz(ndx+2).*t2 + zz(ndx+3).*t ) ... + .* (((4-3*s).*s+1).*s); +ndx(:) = ndx + nrows; +F(:) = F + ( zz(ndx).*t0 + zz(ndx+1).*t1 + zz(ndx+2).*t2 + zz(ndx+3).*t ) ... + .* ((s-1).*s.*s); +F(:) = F/4; + +% Now set out of range values to NaN. +if length(sout)>0, F(sout) = NaN; end +if length(tout)>0, F(tout) = NaN; end + + +%------------------------------------------------------ +function F = nearest(arg1,arg2,arg3,arg4,arg5) +%NEAREST 2-D Nearest neighbor interpolation. +% ZI = NEAREST(X,Y,Z,XI,YI) uses nearest neighbor interpolation to +% find ZI, the values of the underlying 2-D function in Z at the points +% in matrices XI and YI. Matrices X and Y specify the points at which +% the data Z is given. X and Y can also be vectors specifying the +% abscissae for the matrix Z as for MESHGRID. In both cases, X +% and Y must be equally spaced and monotonic. +% +% Values of NaN are returned in ZI for values of XI and YI that are +% outside of the range of X and Y. +% +% If XI and YI are vectors, NEAREST returns vector ZI containing +% the interpolated values at the corresponding points (XI,YI). +% +% ZI = NEAREST(Z,XI,YI) assumes X = 1:N and Y = 1:M, where +% [M,N] = SIZE(Z). +% +% F = NEAREST(Z,NTIMES) returns the matrix Z expanded by interleaving +% interpolates between every element. NEAREST(Z) is the same as +% NEAREST(Z,1). +% +% See also INTERP2, LINEAR, CUBIC. + +% Clay M. Thompson 4-26-91, revised 7-3-91 by CMT. + +if nargin==1, % nearest(z), Expand Z + [nrows,ncols] = size(arg1); + u = ones(2*nrows-1,1)*(1:.5:ncols); + v = (1:.5:nrows)'*ones(1,2*ncols-1); + +elseif nargin==2, % nearest(z,n), Expand Z n times + [nrows,ncols] = size(arg1); + ntimes = floor(arg2); + u = 1:1/(2^ntimes):ncols; sizu = size(u); + v = (1:1/(2^ntimes):nrows)'; sizv = size(v); + u = u(ones(sizv),:); + v = v(:,ones(sizu)); + +elseif nargin==3, % nearest(z,u,v) + [nrows,ncols] = size(arg1); + u = arg2; v = arg3; + +elseif nargin==4, + error('Wrong number of input arguments.'); + +elseif nargin==5, % nearest(x,y,z,u,v), X and Y specified. + [nrows,ncols] = size(arg3); + mx = prod(size(arg1)); my = prod(size(arg2)); + if any([mx my] ~= [ncols nrows]) & (size(arg1)~=size(arg3) | ... + size(arg2)~=size(arg3)), + error('The lengths of the X and Y vectors must match Z.'); + end + if all([nrows ncols]>[1 1]), + u = 1 + (arg4-arg1(1))/(arg1(mx)-arg1(1))*(ncols-1); + v = 1 + (arg5-arg2(1))/(arg2(my)-arg2(1))*(nrows-1); + else + u = 1 + (arg4-arg1(1)); + v = 1 + (arg5-arg2(1)); + end +end + +if size(u)~=size(v), error('XI and YI must be the same size.'); end + +% Check for out of range values of u and set to 1 +uout = (u<.5)|(u>=ncols+.5); +nuout = sum(uout(:)); +if any(uout(:)), u(uout) = ones(nuout,1); end + +% Check for out of range values of v and set to 1 +vout = (v<.5)|(v>=nrows+.5); +nvout = sum(vout(:)); +if any(vout(:)), v(vout) = ones(nvout,1); end + +% Interpolation parameters +s = (u - round(u)); t = (v - round(v)); +u = round(u); v = round(v); + +% Now interpolate +ndx = v+(u-1)*nrows; +if nargin==5, + F = arg3(ndx); +else + F = arg1(ndx); +end + +% Now set out of range values to NaN. +if any(uout(:)), F(uout) = NaN; end +if any(vout(:)), F(vout) = NaN; end + +%---------------------------------------------------------- +function F = spline2(varargin) +%2-D spline interpolation + +% Determine abscissa vectors +varargin{1} = varargin{1}(1,:); +varargin{2} = varargin{2}(:,1).'; + +% +% Check for plaid data. +% +xi = varargin{4}; yi = varargin{5}; +xxi = xi(1,:); yyi = yi(:,1); +if (size(xi,2)>1 & ~isequal(repmat(xxi,size(xi,1),1),xi)) | ... + (size(yi,1)>1 & ~isequal(repmat(yyi,1,size(yi,2)),yi)), + F = splncore(varargin(2:-1:1),varargin{3},varargin(5:-1:4)); +else + F = splncore(varargin(2:-1:1),varargin{3},{yyi(:).' xxi},'gridded'); +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/LAGRANGE.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/LAGRANGE.M" index 76145b5d8ad2276761759f88bdbf6062c534994b..1c2f413125c688256e1c698062543a10fe2bd8b9 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/LAGRANGE.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/LAGRANGE.M" @@ -1,3 +1,34 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:d1cd5bffd3aa8e9066c96a2c7f9b040d72242329669f2272fdf57362e484db77 -size 736 +function yy=lagrange(x,y,xx) +% Lagrange 插值 +% yy=lagrange(x,y,xx)求数据(x,y)所表达的函数在插值点xx处的插值 +% 要求x,y为同维数向量 +%例如 数据 +% x | 0.1 0.2 0.15 0.0 -0.2 0.3 +% --|------------------------------ +% y | 0.95 0.84 0.86 1.06 1.50 0.72 +% 求解 +% clear;close; +% x=[0.1,0.2,0.15,0,-0.2,0.3]; +% y=[0.95,0.84,0.86,1.06,1.50,0.72]; +% xi=-0.2:0.01:0.3; +% yi=lagrange(x,y,xi); +% plot(x,y,'o',xi,yi,'k'); +% title('lagrange'); + +% L.J. Hu 8-20-1998 + +m=length(x);n=length(y); +if m~=n, error('向量x与y的长度必须一致');end +s=0; +for i=1:n + t=ones(1,length(xx)); + for j=1:n + if j~=i, + t=t.*(xx-x(j))/(x(i)-x(j)); + end + end + s=s+t*y(i); +end +yy=s; + + \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/POLYFIT.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/POLYFIT.M" index d64ef4cc65caaabd09afe7d2ea0c364237f9a07d..ec1d050c7bab8ea00b2a5fed4ed472e0ae49c88f 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/POLYFIT.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/POLYFIT.M" @@ -1,3 +1,76 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:34532b9273c22125cb5687803de3c9741f8389c6040d8137050f95c6053310ee -size 2419 +function [p,S] = polyfit(x,y,n) +%p=polyfit(x,y,k)用k次多项式拟合向量数据(x,y) +%p返回多项式的降幂系数.当k>=n-1时,polyfit实现多项式插值. +%例如 用二次多项式拟合数据 +% x | 0.1 0.2 0.15 0.0 -0.2 0.3 +% --|------------------------------ +% y | 0.95 0.84 0.86 1.06 1.50 0.72 +% 求解 +% x=[0.1,0.2,0.15,0,-0.2,0.3]; +% y=[0.95,0.84,0.86,1.06,1.50,0.72]; +% p=polyfit(x,y,2) +% xi=-0.2:0.01:0.3; +% yi=polyval(p,xi); +% plot(x,y,'o',xi,yi,'k'); +% title('polyfit'); + +%POLYFIT Fit polynomial to data. +% POLYFIT(X,Y,N) finds the coefficients of a polynomial P(X) of +% degree N that fits the data, P(X(I))~=Y(I), in a least-squares sense. +% +% [P,S] = POLYFIT(X,Y,N) returns the polynomial coefficients P and a +% structure S for use with POLYVAL to obtain error estimates on +% predictions. If the errors in the data, Y, are independent normal +% with constant variance, POLYVAL will produce error bounds which +% contain at least 50% of the predictions. +% +% The structure S contains the Cholesky factor of the Vandermonde +% matrix (R), the degrees of freedom (df), and the norm of the +% residuals (normr) as fields. +% +% See also POLY, POLYVAL, ROOTS. + +% J.N. Little 4-21-85, 8-23-86; CBM, 12-27-91 BAJ, 5-7-93. +% Copyright (c) 1984-98 by The MathWorks, Inc. +% $Revision: 5.9 $ $Date: 1997/11/21 23:40:57 $ + +% The regression problem is formulated in matrix format as: +% +% y = V*p or +% +% 3 2 +% y = [x x x 1] [p3 +% p2 +% p1 +% p0] +% +% where the vector p contains the coefficients to be found. For a +% 7th order polynomial, matrix V would be: +% +% V = [x.^7 x.^6 x.^5 x.^4 x.^3 x.^2 x ones(size(x))]; + +if ~isequal(size(x),size(y)) + error('X and Y vectors must be the same size.') +end + +x = x(:); +y = y(:); + +% Construct Vandermonde matrix. +V(:,n+1) = ones(length(x),1); +for j = n:-1:1 + V(:,j) = x.*V(:,j+1); +end + +% Solve least squares problem, and save the Cholesky factor. +[Q,R] = qr(V,0); +p = R\(Q'*y); % Same as p = V\y; +r = y - V*p; +p = p.'; % Polynomial coefficients are row vectors by convention. + +% S is a structure containing three elements: the Cholesky factor of the +% Vandermonde matrix, the degrees of freedom and the norm of the residuals. + +S.R = R; +S.df = length(y) - (n+1); +S.normr = norm(r); diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/SPLINE.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/SPLINE.M" index a495b0f24a8f7ad16cd5af558b5187b96f37deec..956c1682fbcdd6dc4643bd49ef26e1f24b100c42 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/SPLINE.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/SPLINE.M" @@ -1,3 +1,130 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:73510ace9a03489343d0f9922daacc11802acaaef90982e39f2046e06abe79f4 -size 4808 +function output = spline(x,y,xx) +%三次样条插值 +%yi=spline(x,y,xi)等价于YI=interp(x,y,xi,'spline'), +% 根据数据(x,y)给出在xi的线性插值结果yi.. +% 使用"非扭结"端点条件, 即强迫第一﹑二端多项式三次项系数相同, +% 最后一段和倒数第二段三次项系数相同. +%pp=spline(x,y)返回样条插值的分段多项式(pp形式). +%[breaks,coefs]=unmkpp(pp)将pp形式展开,其中breaks为结点,coefs为各段多项式系数. +%yi=ppval(pp,xi),pp形式在xi的函数值. +%例 考虑数据 +% x | 1 2 4 5 +% ---|------------- +% y | 1 3 4 2 +% clear;close; +% x=[1 2 4 5];y=[1 3 4 2]; +% p=spline(x,y); +% xi=1:0.1:5;yi=ppval(p,xi); +% plot(x,y,'o',xi,yi,'k'); +% title('not-a-knot SPLINE'); +% [b,c]=unmkpp(p) +%另一个例子见下列英文部分 +% +%SPLINE Cubic spline data interpolation. +% YY = SPLINE(X,Y,XX) uses cubic spline interpolation +% to find a vector YY corresponding to XX. X and Y are the +% given data vectors and XX is the new abscissa vector. +% +% The ordinates Y may be vector-valued, in which case Y(:,j) is +% the j-th ordinate. +% +% PP = SPLINE(X,Y) returns the pp-form of the cubic spline +% interpolant instead, for later use with PPVAL, etc. +% +% Ordinarily, the not-a-knot end conditions are used. However, if +% Y contains two more ordinates than X has entries, then the first +% and last ordinate in Y are used as the endslopes for the cubic spline. +% +% Here's an example that generates a coarse sine curve, then +% samples the spline over a finer mesh: +% +% x = 0:10; y = sin(x); +% xx = 0:.25:10; +% yy = spline(x,y,xx); +% plot(x,y,'o',xx,yy) +% +% Here is an example that features a vector-valued spline, along with complete +% spline interpolation, i.e., fitting to given end slopes (instead of using the +% not-a-knot end condition); it uses SPLINE to generate a circle: +% +% circle = spline( 0:4, [0 1 0 -1 0 1 0; pi/2 0 1 0 -1 0 pi/2] ); +% xx = 0:.1:4; cc = ppval(circle, xx); plot(cc(1,:), cc(2,:)), axis equal +% +% See also INTERP1, PPVAL, SPLINES (The Spline Toolbox). + +% Carl de Boor 7-2-86 +% Revised 11-24-87 JNL, 6-16-92 CBM, 10-14-97 CB. +% Copyright (c) 1984-98 by The MathWorks, Inc. +% $Revision: 5.11 $ $Date: 1997/12/03 19:22:33 $ + +% Generate the cubic spline interpolant in pp form, depending on the +% number of data points (and usually using the not-a-knot end condition). + +output=[]; +n=length(x); +if n<2, error('There should be at least two data points.'), end + +if any(diff(x)<0), [x,ind]=sort(x); else, ind=1:n; end + +x=x(:); dx = diff(x); +if all(dx)==0, error('The data abscissae should be distinct.'), end + +[yd,yn] = size(y); % if Y happens to be a column matrix, change it to + % the expected row matrix. +if yn==1, yn=yd; y=reshape(y,1,yn); yd=1; end + +if yn==n + notaknot = 1; +elseif yn==n+2 + notaknot = 0; endslopes = y(:,[1 n+2]).'; y(:,[1 n+2])=[]; +else + error('Abscissa and ordinate vector should be of the same length.') +end + +yi=y(:,ind).'; dd = ones(1,yd); +dx = diff(x); divdif = diff(yi)./dx(:,dd); +if n==2 + if notaknot, % the interpolant is a straight line + pp=mkpp(x.',[divdif.' yi(1,:).'],yd); + else % the interpolant is the cubic Hermite polynomial + divdif2 = diff([endslopes(1,:);divdif;endslopes(2,:)])./dx([1 1],dd); + pp = mkpp(x,... + [(diff(divdif2)./dx(1,dd)).' ([2 -1]*divdif2).' ... + endslopes(1,:).' yi(1,:).'],yd); + end +elseif n==3¬aknot, % the interpolant is a parabola + yi(2:3,:)=divdif; + yi(3,:)=diff(divdif)/(x(3)-x(1)); + yi(2,:)=yi(2,:)-yi(3,:)*dx(1); + pp = mkpp([x(1),x(3)],yi([3 2 1],:).',yd); +else % set up the sparse, tridiagonal, linear system for the slopes at X . + b=zeros(n,yd); + b(2:n-1,:)=3*(dx(2:n-1,dd).*divdif(1:n-2,:)+dx(1:n-2,dd).*divdif(2:n-1,:)); + if notaknot + x31=x(3)-x(1);xn=x(n)-x(n-2); + b(1,:)=((dx(1)+2*x31)*dx(2)*divdif(1,:)+dx(1)^2*divdif(2,:))/x31; + b(n,:)=... + (dx(n-1)^2*divdif(n-2,:)+(2*xn+dx(n-1))*dx(n-2)*divdif(n-1,:))/xn; + else + x31 = 0; xn = 0; b([1 n],:) = dx([1 n-2],dd).*endslopes; + end + c = spdiags([ [dx(2:n-1);xn;0] ... + [dx(2);2*[dx(2:n-1)+dx(1:n-2)];dx(n-2)] ... + [0;x31;dx(1:n-2)] ],[-1 0 1],n,n); + + % sparse linear equation solution for the slopes + mmdflag = spparms('autommd'); + spparms('autommd',0); + s=c\b; + spparms('autommd',mmdflag); + % convert to pp form + c4=(s(1:n-1,:)+s(2:n,:)-2*divdif(1:n-1,:))./dx(:,dd); + c3=(divdif(1:n-1,:)-s(1:n-1,:))./dx(:,dd) - c4; + pp=mkpp(x.',... + reshape([(c4./dx(:,dd)).' c3.' s(1:n-1,:).' yi(1:n-1,:).'],(n-1)*yd,4),yd); +end +if nargin==2 + output=pp; +else + output=ppval(pp,xx); +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/\346\225\260\346\215\256\346\213\237\345\220\210.txt" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/\346\225\260\346\215\256\346\213\237\345\220\210.txt" index 12424ec576b493d8be99ab4f97a0b305608df962..070ff8c43087d681108a283a8e05928e43306b45 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/\346\225\260\346\215\256\346\213\237\345\220\210.txt" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\225\260\346\215\256\346\213\237\345\220\210/\346\225\260\346\215\256\346\213\237\345\220\210.txt" @@ -1,3 +1,11 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:df7ab4cbab6f5a2903260d8e25b8ef0934e5c2c9a1dbc4e095703e278e28d3bf -size 294 +% 数据拟合 +% interp1 - 一元函数插值 +% spline - 样条插值 +% polyfit - 多项式插值或拟合 +% curvefit - 曲线拟合 +% caspe - 各种边界条件的样条插值 +% casps - 样条拟合(没有) +% interp2 - 二元函数插值 +% griddata - 不规则数据的二元函数插值 +% *interp - 不单调节点插值 +% *lagrange - 拉格朗日插值法 \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/FSOLVE.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/FSOLVE.M" index fffc04c39a64253620bbaf996c648e97df299046..900f979ed6c7133635fa9ba9bd69f63e73fc67d4 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/FSOLVE.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/FSOLVE.M" @@ -1,3 +1,408 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:0bf5ca83b7d9b24d22b005322380802e00d7625d8d599380aec7096009268559 -size 15034 +function [x,FVAL,EXITFLAG,OUTPUT,JACOB] = fsolve(FUN,x,options,varargin) +%优化工具箱函数,可求多元非线性方程组的实根. 用法与fzero类似。 +%例 先写一个M函数rooteg4fun.m +% function y=rooteg4fun(x) +% y(1)=4*x(1)-x(2)+exp(x(1))/10-1; +% y(2)=-x(1)+4*x(2)+x(1).^2/8; +% 使用 +% [x,f,h]=fsolve('rooteg4fun',[0,0]) %初值x(1)=0,x(2)=0 +% x返回解向量,f返回误差向量,h>0表明算法收敛 +% 注意:方程变量必须拼成一个向量变量,即用x(1),x(2),... +% +%FSOLVE Solves nonlinear equations by a least squares method. +% +% FSOLVE solves equations of the form: +% +% F(X)=0 where F and X may be vectors or matrices. +% +% X=FSOLVE(FUN,X0) starts at the matrix X0 and tries to solve the +% equations described in FUN. FUN is usually an M-file which returns +% an evaluation of the equations for a particular value of X: F=FUN(X). +% +% X=FSOLVE(FUN,X0,OPTIONS) minimizes with the default optimization +% parameters replaced by values in the structure OPTIONS, an argument +% created with the OPTIMSET function. See OPTIMSET for details. Used +% options are Display, TolX, TolFun, DerivativeCheck, Diagnostics, Jacobian, +% JacobPattern, LineSearchType, LevenbergMarquardt, MaxFunEvals, MaxIter, +% DiffMinChange and DiffMaxChange, LargeScale, MaxPCGIter, PrecondBandWidth, +% TolPCG, TypicalX. Use the Jacobian option to specify that FUN may be called +% with two output arguments where the second, J, is the Jacobian matrix: +% [F,J] = feval(FUN,X). If FUN returns a vector (matrix) of m components when +% X has length n, then J is an m-by-n matrix where J(i,j) is the partial +% derivative of F(i) with respect to x(j). (Note that the Jacobian J is the +% transpose of the gradient of F.) +% +% X=FSOLVE(FUN,X0,OPTIONS,P1,P2,...) passes the problem-dependent +% parameters P1,P2,... directly to the function FUN: FUN(X,P1,P2,...). +% Pass an empty matrix for OPTIONS to use the default values. +% +% [X,FVAL]=FSOLVE(FUN,X0,...) returns the value of the objective function +% at X. +% +% [X,FVAL,EXITFLAG]=FSOLVE(FUN,X0,...) returns a string EXITFLAG that +% describes the exit condition of FSOLVE. +% If EXITFLAG is: +% > 0 then FSOLVE converged to a solution X. +% 0 then the maximum number of function evaluations was reached. +% < 0 then FSOLVE did not converge to a solution. +% +% [X,FVAL,EXITFLAG,OUTPUT]=FSOLVE(FUN,X0,...) returns a structure OUTPUT +% with the number of iterations taken in OUTPUT.iterations, the number of +% function evaluations in OUTPUT.funcCount, the algorithm used in OUTPUT.algorithm, +% the number of CG iterations (if used) in OUTPUT.cgiterations, and the first-order +% optimality (if used) in OUTPUT.firstorderopt. +% +% [X,FVAL,EXITFLAG,OUTPUT,JACOB]=FSOLVE(FUN,X0,...) returns the +% Jacobian of FUN at X. + +% Copyright (c) 1990-98 by The MathWorks, Inc. +% $Revision: 1.26 $ $Date: 1998/10/22 19:28:31 $ +% Andy Grace 7-9-90. + +% Grandfathered FSOLVE call for Optimization Toolbox versions prior to 2.0: +% [X,OPTIONS]=FSOLVE(FUN,X0,OPTIONS,GRADFUN,P1,P2,...) +% +% ------------Initialization---------------- + +defaultopt = optimset('display','final','LargeScale','on', ... + 'TolX',1e-6,'TolFun',1e-6,'DerivativeCheck','off',... + 'Jacobian','off','MaxFunEvals','100*numberOfVariables',... + 'Diagnostics','off',... + 'DiffMaxChange',1e-1,'DiffMinChange',1e-8,... + 'PrecondBandWidth',0,'TypicalX','ones(numberOfVariables,1)','MaxPCGIter','max(1,floor(numberOfVariables/2))', ... + 'TolPCG',0.1,'MaxIter',400,'JacobPattern',[], ... + 'LineSearchType','quadcubic','LevenbergMarq','off'); +% If just 'defaults' passed in, return the default options in X +if nargin==1 & nargout <= 1 & isequal(FUN,'defaults') + x = defaultopt; + return +end + +if nargin < 2, error('FSOLVE requires two input arguments');end +if nargin < 3, options=[]; end + +% These are added so that we can have the same code as in lsqnonlin which +% actually has upper and lower bounds. +LB = []; UB = []; + +%[x,FVAL,EXITFLAG,OUTPUT,JACOB] = fsolve(FUNin,x,options,varargin) +% Note: don't send varargin in as a comma separated list!! +numargin = nargin; numargout = nargout; +[calltype, GRADFUN, varargin] = parse_call(FUN,options,numargin,numargout,varargin); + +if isequal(calltype,'new') % fsolve version 2.* + + xstart=x(:); + numberOfVariables=length(xstart); + + large = 'large-scale'; + medium = 'medium-scale'; + + l = []; u = []; + + options = optimset(defaultopt,options); + switch optimget(options,'display') + case {'off','none'} + verbosity = 0; + case 'iter' + verbosity = 2; + case 'final' + verbosity = 1; + case 'testing' + verbosity = Inf; + otherwise + verbosity = 1; + end + diagnostics = isequal(optimget(options,'diagnostics','off'),'on'); + + gradflag = strcmp(optimget(options,'Jacobian'),'on'); + line_search = strcmp(optimget(options,'largescale','off'),'off'); % 0 means trust-region, 1 means line-search + + % Convert to inline function as needed + if ~isempty(FUN) % will detect empty string, empty matrix, empty cell array + [funfcn, msg] = fprefcnchk(FUN,'fsolve',length(varargin),gradflag); + else + errmsg = sprintf('%s\n%s', ... + 'FUN must be a function name, valid string expression, or inline object;', ... + ' or, FUN may be a cell array that contains these type of objects.'); + error(errmsg) + end + + x(:) = xstart; + switch funfcn{1} + case 'fun' + fuser = feval(funfcn{3},x,varargin{:}); + f = fuser(:); + nfun=length(f); + JAC = zeros(nfun,numberOfVariables); + case 'fungrad' + [fuser,JAC] = feval(funfcn{3},x,varargin{:}); + f = fuser(:); + nfun=length(f); + case 'fun_then_grad' + fuser = feval(funfcn{3},x,varargin{:}); + f = fuser(:); + JAC = feval(funfcn{4},x,varargin{:}); + nfun=length(f); + + otherwise + error('Undefined calltype in FSOLVE'); + end + + % check size of JAC + [Jrows, Jcols]=size(JAC); + if Jrows~=nfun | Jcols ~=numberOfVariables + errstr = sprintf('%s\n%s%d%s%d\n',... + 'User-defined Jacobian is not the correct size:',... + ' the Jacobian matrix should be ',nfun,'-by-',numberOfVariables); + error(errstr); + end + + YDATA = []; caller = 'fsolve'; + + % trustregion and enough equations (as many as variables) + if ~line_search & nfun >= numberOfVariables + OUTPUT.algorithm = large; + + % trust region and not enough equations -- switch to line_search + elseif ~line_search & nfun < numberOfVariables + warnstr = sprintf('%s\n%s\n', ... + 'Large-scale method requires at least as many equations as variables; ',... + ' switching to line-search method instead.'); + warning(warnstr); + OUTPUT.algorithm = medium; + + % line search and no bounds + elseif line_search & isempty(l) & isempty(u) + OUTPUT.algorithm = medium; + + % line search and bounds and enough equations, switch to trust region + elseif line_search & (~isempty(LB) | ~isempty(UB)) & nfun >= numberOfVariables + warnstr = sprintf('%s\n%s\n', ... + 'Line-search method does not handle bound constraints; ',... + ' switching to trust-region method instead.'); + warning(warnstr); + OUTPUT.algorithm = large; + + % can't handle this one: + elseif line_search & (~isempty(LB) | ~isempty(UB)) & nfun < numberOfVariables + errstr = sprintf('%s\n%s\n%s\n', ... + 'Line-search method does not handle bound constraints ',... + ' and trust-region method requires at least as many equations as variables; ',... + ' aborting.'); + error(errstr); + + end + + if diagnostics > 0 + % Do diagnostics on information so far + constflag = 0; gradconstflag = 0; non_eq=0;non_ineq=0;lin_eq=0;lin_ineq=0; + confcn{1}=[];c=[];ceq=[];cGRAD=[];ceqGRAD=[]; + hessflag = 0; HESS=[]; + msg = diagnose('fsolve',OUTPUT,gradflag,hessflag,constflag,gradconstflag,... + line_search,options,xstart,non_eq,... + non_ineq,lin_eq,lin_ineq,LB,UB,funfcn,confcn,f,JAC,HESS,c,ceq,cGRAD,ceqGRAD); + + end + + % Execute algorithm + if isequal(OUTPUT.algorithm, large) + if ~gradflag + Jstr = optimget(options,'JacobPattern',[]); + if isempty(Jstr) + % Put this code separate as it might generate OUT OF MEMORY error + Jstr = sparse(ones(Jrows,Jcols)); + end + else + Jstr = []; + end + l = []; u = []; computeLambda = 0; + [x,FVAL,LAMBDA,JACOB,EXITFLAG,OUTPUT]=... + snls(funfcn,x,l,u,verbosity,options,f,JAC,YDATA,caller,Jstr,computeLambda,varargin{:}); + else + [x,FVAL,JACOB,EXITFLAG,OUTPUT] = ... + nlsq(funfcn,x,verbosity,options,f,JAC,YDATA,caller,varargin{:}); + + end + + Resnorm = FVAL'*FVAL; % assumes FVAL still a vector + if Resnorm > 10*optimget(options,'TolFun',1e-4) & verbosity>0 + if verbosity > 0 + disp('Optimizer is stuck at a minimum that is not a root') + disp('Try again with a new starting guess') + end + EXITFLAG = -1; + end + + % Reset FVAL to shape of the user-function output, fuser + FVAL = reshape(FVAL,size(fuser)); + + % end FSOLVE 2.* +else % version 1.5 FSOLVE + + if length(options)<5; + options(5)=0; + end + % Switch methods making Gauss Newton the default method. + if options(5)==0; options(5)=1; else options(5)=0; end + + % Convert to inline function as needed. + if ~isempty(FUN) + [funfcn, msg] = fcnchk(FUN,length(varargin)); + if ~isempty(msg) + error(msg); + end + else + error('FUN must be a function name or valid expression.') + end + + if ~isempty(GRADFUN) + [gradfcn, msg] = fcnchk(GRADFUN,length(varargin)); + if ~isempty(msg) + error(msg); + end + else + gradfcn = []; + end + + [x,options] = nlsqold(funfcn,x,options,gradfcn,varargin{:}); + + if options(8)>10*options(3) & options(1)>0 + disp('Optimizer is stuck at a minimum that is not a root') + disp('Try again with a new starting guess') + end + + % Set the second output argument FVAL to be options as in old calling syntax + FVAL = options; + + % end fsolve version 1.5.* + +end + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +function [calltype, GRADFUN, otherargs] = parse_call(FUN,options,numargin,numargout,otherargs) +% PARSE_CALL Determine which calling syntax is being used: the FSOLVE prior to 2.0, or +% in version 2.0 or later of the Toolbox. +% old call: [X,OPTIONS]=FSOLVE(FUN,X0,OPTIONS,GRADFUN,varargin) +% new call: [X,FVAL,EXITFLAG,OUTPUT,JACOB]=FSOLVE(FUN,X0,OPTIONS,varargin) + +if numargout > 2 % [X,FVAL,EXITFLAG,...]=FSOLVE (...) + calltype = 'new'; + GRADFUN = []; +elseif isa(FUN,'cell') % FUN == {...} + calltype = 'new'; + GRADFUN = []; +elseif ~isempty(options) & isa(options,'double') % OPTIONS == scalar or and array + calltype = 'old'; + if length(otherargs) > 0 + GRADFUN = otherargs{1}; + otherargs = otherargs(2:end); + else + GRADFUN = []; + end +elseif isa(options,'struct') % OPTIONS has fields + calltype = 'new'; + GRADFUN = []; +else % Ambiguous + warnstr = sprintf('%s\n%s\n%s\n',... + 'Cannot determine from calling sequence whether to use new (2.0 or later) FSOLVE ', ... + 'function or grandfathered FSOLVE function. Assuming new syntax; if call was grandfathered', ... + 'FSOLVE syntax, this may give unexpected results.'); + warning(warnstr) + calltype = 'new'; + GRADFUN = []; +end + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +function [allfcns,msg] = fprefcnchk(funstr,caller,lenVarIn,gradflag) +%PREFCNCHK Pre- and post-process function expression for FUNCHK. +% [ALLFCNS,MSG] = PREFUNCHK(FUNSTR,CALLER,lenVarIn,GRADFLAG) takes +% the (nonempty) expression FUNSTR from CALLER with LenVarIn extra arguments, +% parses it according to what CALLER is, then returns a string or inline +% object in ALLFCNS. If an error occurs, this message is put in MSG. +% +% ALLFCNS is a cell array: +% ALLFCNS{1} contains a flag +% that says if the objective and gradients are together in one function +% (calltype=='fungrad') or in two functions (calltype='fun_then_grad') +% or there is no gradient (calltype=='fun'), etc. +% ALLFCNS{2} contains the string CALLER. +% ALLFCNS{3} contains the objective function +% ALLFCNS{4} contains the gradient function (transpose of Jacobian). +% +% NOTE: we assume FUNSTR is nonempty. +% Initialize +msg=''; +allfcns = {}; +funfcn = []; +gradfcn = []; + +if gradflag + calltype = 'fungrad'; +else + calltype = 'fun'; +end + +% {fun} +if isa(funstr, 'cell') & length(funstr)==1 + % take the cellarray apart: we know it is nonempty + if gradflag + calltype = 'fungrad';0 + end + [funfcn, msg] = fcnchk(funstr{1},lenVarIn); + if ~isempty(msg) + error(msg); + end + + % {fun,[]} +elseif isa(funstr, 'cell') & length(funstr)==2 & isempty(funstr{2}) + if gradflag + calltype = 'fungrad'; + end + [funfcn, msg] = fcnchk(funstr{1},lenVarIn); + if ~isempty(msg) + error(msg); + end + + % {fun, grad} +elseif isa(funstr, 'cell') & length(funstr)==2 % and ~isempty(funstr{2}) + + [funfcn, msg] = fcnchk(funstr{1},lenVarIn); + if ~isempty(msg) + error(msg); + end + [gradfcn, msg] = fcnchk(funstr{2},lenVarIn); + if ~isempty(msg) + error(msg); + end + calltype = 'fun_then_grad'; + if ~gradflag + warnstr = ... + sprintf('%s\n%s\n%s\n','Jacobian function provided but OPTIONS.Jacobian=''off'';', ... + ' ignoring Jacobian function and using finite-differencing.', ... + ' Rerun with OPTIONS.Jacobian=''on'' to use Jacobian function.'); + warning(warnstr); + calltype = 'fun'; + end + +elseif ~isa(funstr, 'cell') %Not a cell; is a string expression, function name string or inline object + [funfcn, msg] = fcnchk(funstr,lenVarIn); + if ~isempty(msg) + error(msg); + end + if gradflag % gradient and function in one function/M-file + gradfcn = funfcn; % Do this so graderr will print the correct name + end +else + errmsg = sprintf('%s\n%s', ... + 'FUN must be a function name, valid string expression, or inline object;', ... + ' or, FUN may be a cell array that contains these type of objects.'); + error(errmsg) +end + +allfcns{1} = calltype; +allfcns{2} = caller; +allfcns{3} = funfcn; +allfcns{4} = gradfcn; +allfcns{5}=[]; + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/INV.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/INV.M" index 067c52e5fdf6e6dca3789b55c4c1a3378e22a8a2..8cb7936319e46a81432c1f57767d8e8c26040081 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/INV.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/INV.M" @@ -1,3 +1,16 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:fb2a6893c5a077638d38e4da48833c7bdd1cf5a9ca515bad921112e30f1bcac2 -size 504 +%求逆矩阵 +%用法 B=inv(A) 其中A为数值或符号方阵,B返回A的逆 +%例如 +% inv([1 2;3 4]) %数值 +% syms a b c d;inv([[a,b;c,d]) %符号 +% +%INV Matrix inverse. +% INV(X) is the inverse of the square matrix X. +% A warning message is printed if X is badly scaled or +% nearly singular. +% +% See also SLASH, PINV, COND, CONDEST, NNLS, LSCOV. + +% Copyright (c) 1984-98 by The MathWorks, Inc. +% $Revision: 5.5 $ $Date: 1997/11/21 23:38:31 $ +% Built-in function. diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/NEWTON.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/NEWTON.M" index 1e4a782d5c6f57cc0e8da8e28196f70e8a8249e1..1f04b80ce49871d7f757edfb30302884e28d0172 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/NEWTON.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/NEWTON.M" @@ -1,3 +1,29 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:120e960c0b558b27aff63012832391ac331b305be0a319a3df4b1285d143f316 -size 824 +function x=newton(f_name,x0,tol) +% Purpose: Solve a nonlinear equation by Newton iteration +% Synopsis: x=newton('f_name',x0) +% x=newton('f_name',x0,tol) +% +% x: return a root of f(x)=0 near x0 +% f_name:name of the function f(x) that defines the equation +% x0: initial guess +% tol: tolerence(Default:1e-6) + +% L.J.Hu 1-8-1998 + +h=0.0001;M=500; +if nargin<3, tol=1e-6;end +x=x0;xb=x-999; +n=0; +while abs(x-xb)>tol + xb=x; + if n>M break;end + y=feval(f_name, x); + fprintf(' n=%3.0f, x=%12.5e, y=%12.5e, \n',n,x,y) + y_driv=(feval(f_name,x+h)-y)/h; + x=xb-y/y_driv; + n=n+1; +end +fprintf(' n=%3.0f, x=%12.5e, y=%12.5e, ',n,x,y) +if n>500, + fprintf('\n');disp('Warning: iterations exceeds the limitation, probable devergent'); +end \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/ROOTS.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/ROOTS.M" index ffacedb24b3a87b952e41a12901c521d3cdb34d2..ff0121456c9ad962f61034501596d055377b03b3 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/ROOTS.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/ROOTS.M" @@ -1,3 +1,45 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:023350c5883030831c326ce86a46a71d9d6bb02d8dd195019e7ba42f9e9a272e -size 1108 +function r = roots(c) +%roots(p)可求得多项式p的所有复根. +%例 x^3+2x^2-3=0 +% 求解 +% roots([1 2 0 -3]) +% +%ROOTS Find polynomial roots. +% ROOTS(C) computes the roots of the polynomial whose coefficients +% are the elements of the vector C. If C has N+1 components, +% the polynomial is C(1)*X^N + ... + C(N)*X + C(N+1). +% +% See also POLY, RESIDUE, FZERO. + +% J.N. Little 3-17-86 +% Copyright (c) 1984-98 by The MathWorks, Inc. +% $Revision: 5.6 $ $Date: 1997/11/21 23:41:05 $ + +% ROOTS finds the eigenvalues of the associated companion matrix. + +if size(c,1)>1 & size(c,2)>1 + error('Must be a vector.') +end +c = c(:).'; +n = size(c,2); +r = zeros(0,1); + +inz = find(c); +if isempty(inz), + % All elements are zero + return +end + +% Strip leading zeros and throw away. +% Strip trailing zeros, but remember them as roots at zero. +nnz = length(inz); +c = c(inz(1):inz(nnz)); +r = zeros(n-inz(nnz),1); + +% Polynomial roots via a companion matrix +n = length(c); +if n > 1 + a = diag(ones(1,n-2),-1); + a(1,:) = -c(2:n) ./ c(1); + r = [r;eig(a)]; +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/SOLVE.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/SOLVE.M" index 251b53c0ddc3d2b49ae78af6ae5ceb16597a2f63..f0c09005e33e40924c134020fd9f1d7746253c45 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/SOLVE.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/SOLVE.M" @@ -1,3 +1,233 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:94eb7feac193f16cf93478145d81c6547c8e9dad2510ddaec7e50bc08fc40e75 -size 6501 +function varargout = solve(varargin) +%求各种类型方程组的解析解, +%当找不到解析解时,将自动寻求原点附近的一个近似解, 并可达任意精度. +%用法 +% solve('方程1','方程2',...,'方程N','变量1','变量2',...,'变量M') +%SOLVE Symbolic solution of algebraic equations. +% SOLVE('eqn1','eqn2',...,'eqnN') +% SOLVE('eqn1','eqn2',...,'eqnN','var1,var2,...,varN') +% SOLVE('eqn1','eqn2',...,'eqnN','var1','var2',...'varN') +% +% The eqns are symbolic expressions or strings specifying equations. The +% vars are symbolic variables or strings specifying the unknown variables. +% SOLVE seeks zeros of the expressions or solutions of the equations. +% If not specified, the unknowns in the system are determined by FINDSYM. +% If no analytical solution is found and the number of equations equals +% the number of dependent variables, a numeric solution is attempted. +% +% Three different types of output are possible. For one equation and one +% output, the resulting solution is returned, with multiple solutions to +% a nonlinear equation in a symbolic vector. For several equations and +% an equal number of outputs, the results are sorted in lexicographic +% order and assigned to the outputs. For several equations and a single +% output, a structure containing the solutions is returned. +% +% Examples: +% +% solve('p*sin(x) = r') chooses 'x' as the unknown and returns +% +% ans = +% asin(r/p) +% +% [x,y] = solve('x^2 + x*y + y = 3','x^2 - 4*x + 3 = 0') returns +% +% x = +% [ 1] +% [ 3] +% +% y = +% [ 1] +% [ -3/2] +% +% S = solve('x^2*y^2 - 2*x - 1 = 0','x^2 - y^2 - 1 = 0') returns +% the solutions in a structure. +% +% S = +% x: [8x1 sym] +% y: [8x1 sym] +% +% [u,v] = solve('a*u^2 + v^2 = 0','u - v = 1') regards 'a' as a +% parameter and solves the two equations for u and v. +% +% S = solve('a*u^2 + v^2','u - v = 1','a,u') regards 'v' as a +% parameter, solves the two equations, and returns S.a and S.u. +% +% [a,u,v] = solve('a*u^2 + v^2','u - v = 1','a^2 - 5*a + 6') solves +% the three equations for a, u and v. +% +% [x,y] = solve('sin(x+y)-exp(x)*y = 0','x^2-y = 2') cannot find +% an analytic solution, so returns a numeric solution. +% +% See also DSOLVE. + +% Copyright (c) 1993-98 by The MathWorks, Inc. +% $Revision: 1.13 $ $Date: 1997/11/29 01:06:35 $ + +% Set the Explicit solution (for equations of order 4 or less) +% option on in the Maple Workspace. + +maple('_EnvExplicit := true;'); + +% Collect input arguments together in either equation or variable lists. + +eqns = []; +vars = []; +for k = 1:nargin + v = varargin{k}; + if all(isletter(v) | ('0'<=v & v<='9') | v == '_' | v == ',') + vars = [vars ',' v]; + else + [t,stat] = maple(v); + if stat + error(['''' v ''' is not a valid expression or equation.']) + end + eqns = [eqns ',' v]; + end +end + +if isempty(eqns) + warning('List of equations is empty.') + varargout = cell(1,nargout); + varargout{1} = sym([]); + return +else + eqns(1) = '{'; eqns(end+1) = '}'; +end +neqns = sum(commas(eqns)) + 1; + +% Determine default variables and sort variable list. + +if isempty(vars) + vars = ['[' findsym(sym(eqns),neqns) ']']; +else + vars(1) = '['; vars(end+1) = ']'; +end +v = vars; +[vars,stat] = maple('sort',v); +if stat + error(['''' v ''' is not a valid variable list.']) +end +vars(1) = '{'; vars(end) = '}'; +nvars = sum(commas(vars)) + 1; + +if neqns ~= nvars + warning([int2str(neqns) ' equations in ' int2str(nvars) ' variables.']) +end + +% Seek analytic solution. + +[R,stat] = maple('solve',eqns,vars); + +% If no analytic solution, seek numerical solution. + +if (isempty(R) & (nvars == neqns)) + [R,stat] = maple('fsolve',eqns,vars); +end + +if stat + error(R) +end + +% If still no solution, give up. + +if isempty(R) | findstr(R,'fsolve') + warning('Explicit solution could not be found.'); + varargout = cell(1,nargout); + varargout{1} = sym([]); + return +end + +% Expand any RootOf. + +while ~isempty(findstr(R,'RootOf')) + k = min(findstr(R,'RootOf')); + p = findstr(R,'{'); p = max(p(pk)); + s = R(p:q); + t = s(min(findstr(s,'RootOf'))+6:end); + e = min(find(cumsum((t=='(')-(t==')'))==0)); + if isempty(find(commas(t(2:e-1)))) + % RootOf with one argument, possibly an imbedded RootOf. + [s,stat] = maple('allvalues',s,'dependent'); + if stat + error(s) + end + else + % RootOf with a good estimate as the second argument. + s = maple('evalf',s); + end + R = [R(1:p-1) s R(q+1:end)]; +end + +% Parse the result. + +if nvars == 1 & nargout <= 1 + + % One variable and at most one output. + % Return a single scalar or vector sym. + + S = sym([]); + c = find(commas(R) | R == '}'); + for p = find(R == '=') + q = min(c(c>p)); + t = trim(R(p+1:q-1)); % The solution (xk) + S = [S; sym(t)]; + end + varargout{1} = S; + +else + + % Several variables. + % Create a skeleton structure. + + c = [1 find(commas(vars)) length(vars)]; + S = []; + for j = 1:nvars + v = trim(vars(c(j)+1:c(j+1)-1)); + S = setfield(S,v,[]); + end + + % Complete the structure. + + c = [1 find(commas(R) | R == '{' | R == '}') length(R)]; + for p = find(R == '=') + q = max(c(cp)); + t = trim(R(p+1:q-1)); % The solution (xk) + S = setfield(S,v,[getfield(S,v); sym(t)]); + end + + if nargout <= 1 + + % At most one output, return the structure. + varargout{1} = S; + + elseif nargout == nvars + + % Same number of outputs as variables. + % Match results in lexicographic order to outputs. + v = fieldnames(S); + for j = 1:nvars + varargout{j} = getfield(S,v{j}); + end + + else + error([int2str(nvars) ' variables does not match ' ... + int2str(nargout) ' outputs.']) + end +end + +%------------------------- + +function s = trim(s); +%TRIM TRIM(s) deletes any leading or trailing blanks. +while s(1) == ' ', s(1) = []; end +while s(end) == ' ', s(end) = []; end + +%------------------------- + +function c = commas(s) +%COMMAS COMMAS(s) is true for commas not inside parentheses. +p = cumsum((s == '(') - (s == ')')); +c = (s == ',') & (p == 0); diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/\346\226\271\347\250\213\346\261\202\346\240\271.txt" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/\346\226\271\347\250\213\346\261\202\346\240\271.txt" index 08280757e3a68d06333eeef6bd5dfbf70a8a4991..258a83f9f47591406a9ee66f8dbd314302aa2e0c 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/\346\226\271\347\250\213\346\261\202\346\240\271.txt" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\226\271\347\250\213\346\261\202\346\240\271/\346\226\271\347\250\213\346\261\202\346\240\271.txt" @@ -1,3 +1,7 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:a0f8aa5c18e0dedb92efec7effbf070807c682889790883a2e12d99ff15dba5f -size 155 +% 方程求根 +% inv - 逆矩阵 +% roots - 多项式的根 +% fzero - 一元函数零点 +% fsolve - 非线性方程组 +% solve - 符号方程解 +% *newton - 牛顿迭代法解非线性方程 \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\227\266\351\227\264\345\272\217\345\210\227\345\210\206\346\236\220\347\250\213\345\272\217.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\227\266\351\227\264\345\272\217\345\210\227\345\210\206\346\236\220\347\250\213\345\272\217.m" index 4d403080547991680062e9d33255d431ac3b1acc..3018fc0776dff3fdfbacf1cd271552e5f02a76a2 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\227\266\351\227\264\345\272\217\345\210\227\345\210\206\346\236\220\347\250\213\345\272\217.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\227\266\351\227\264\345\272\217\345\210\227\345\210\206\346\236\220\347\250\213\345\272\217.m" @@ -1,3 +1,38 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:078d8b12b462f9463cafefa23aeb222e45d5664871212a959f70451e64eefad6 -size 804 +z=[16 12 15 10 9 17 11 16 10 14]; %任给一组数据,通过下面函数求解样本均值z1、样本自协方差函数r、样本自相关函数p(SACF)和样本偏自相关函数q(SPACF) + +N=size(z); %size(A,1)返回矩阵A的行数 size(A,2)返回矩阵A的列数 +n=N(1,2); +z1=sum(z)/n; %样本均值z1 + +s0=0; +for i=1:n + s0=(z(i)-z1)^2+s0; +end +r0=s0/n; + +%%样本自协方差函数r +for k=1:(n-1) + nr(k)=0; + for t=1:(n-k) + nr(k)=(z(t)-z1)*(z(t+k)-z1)+nr(k); + end +end +r=nr./n; + +%%样本自相关函数p +p=(r./r0)';%p=vpa((r./r0)',3); %vpa(n,m)对n保留小数点后m位 + +%%偏自相关函数q +for m=1:(n-2) + q(1,1)=p(1); + D=0;T=0; + for h=1:m + D=p(m+1-h)*q(m,h)+D; + T=p(h)*q(m,h)+T; + end + q(m+1,m+1)=(p(m+1)-D)/(1-T); + for j=1:m + q(m+1,j)=q(m,j)-q(m+1,m+1)*q(m,m+1-j); + end +end +q diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\274\224\347\244\272\347\250\213\345\272\217/FUNTOOL.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\274\224\347\244\272\347\250\213\345\272\217/FUNTOOL.M" index 458fe90aec924b4905df2ec88b051b25ac7a01bc..55440a841a3d301422ae96552829cb0e9b2dfea7 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\274\224\347\244\272\347\250\213\345\272\217/FUNTOOL.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\274\224\347\244\272\347\250\213\345\272\217/FUNTOOL.M" @@ -1,3 +1,488 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:1bb69237928c0b00990367f0d18104c6a3e8ec1ffb1d9f854001f03a7dcbdfb9 -size 17087 +function funtool(keyword,varargin) +%图形界面函数计算器,能进行函数各类初等运算、积分、微分、作图。 +%FUNTOOL A function calculator. +% FUNTOOL is an interactive graphing calculator that manipulates +% functions of a single variable. At any time, there are two functions +% displayed, f(x) and g(x). The result of most operations replaces f(x). +% +% The controls labeled 'f = ' and 'g = ' are editable text that may +% be changed at any time to install a new function. The control +% labeled 'x = ' may be changed to specify a new domain. The control +% labeled 'a = ' may be changed to specify a new value of a parameter. +% +% The top row of control buttons are unary function operators that +% involve only f(x). These operators are: +% df/dx - Symbolically differentiate f(x). +% int f - Symbolically integrate f(x). +% simple f - Simplify the symbolic expression, if possible. +% num f - Extract the numerator of a rational expression. +% den f - Extract the denominator of a rational expression. +% 1/f - Replace f(x) by 1/f(x). +% finv - Replace f(x) by its inverse function. +% +% The operators int(f) and finv may fail if the corresponding symbolic +% expressions do not exist in closed form. +% +% The second row of buttons translate and scale f(x) by the parameter 'a'. +% The operations are: +% f + a - Replace f(x) by f(x) + a. +% f - a - Replace f(x) by f(x) - a. +% f * a - Replace f(x) by f(x) * a. +% f / a - Replace f(x) by f(x) / a. +% f ^ a - Replace f(x) by f(x) ^ a. +% f(x+a) - Replace f(x) by f(x + a). +% f(x*a) - Replace f(x) by f(x * a). +% +% The third row of buttons are binary function operators that +% operate on both f(x) and g(x). The operations are: +% f + g - Replace f(x) by f(x) + g(x). +% f - g - Replace f(x) by f(x) - g(x). +% f * g - Replace f(x) by f(x) * g(x). +% f / g - Replace f(x) by f(x) / g(x). +% f(g) - Replace f(x) by f(g(x)). +% g = f - Replace g(x) by f(x). +% swap - Interchange f(x) and g(x). +% +% The first three buttons in the fourth row manage a list of functions. +% The Insert button places the current active function in the list. +% The Cycle button rotates the function list. +% The Delete button removes the active function from the list. +% The list of functions is named fxlist. A default fxlist containing +% several interesting functions is provided. +% +% The Reset button sets f, g, x, a and fxlist to their initial values. +% The Help button prints this help text. +% +% The Demo button poses the following challenge: Can you generate the +% function sin(x) without touching the keyboard, using just the mouse? +% The demo does it with a reset and then nine clicks. If you can do +% it with fewer clicks, please send e-mail to moler@mathworks.com. +% +% The Close button closes all three windows. +% +% See also EZPLOT. + +% Copyright (c) 1993-98 by The MathWorks, Inc. +% $Revision: 1.11 $ $Date: 1997/11/29 01:06:25 $ + +%Implementation Notes: +% f,g, and a are syms. +% x is a string. fxlist is a string matrix. +% +% The values of f, g, a, and x are stored in the UserData of the text +% objects "f", "g", "a", and "x", respectively. These text objects are +% tagged "fobj", "gobj", "aobj", and "xstr", respectively. +% fxlist is stored in the UserData of the control panel figure, which is +% tagged as "figp". +% The edit text boxes for f, g, x, and a are tagged "Sf", "Sg", "Sx", and +% "Sa", respectively. +% The initial values of f, g, x, a, and fxlist are stored in a structure +% called init that has fields .f, .g, .x, .a and .l. The structure is +% stored in the UserData of the Reset button. + +%%%%%%%%%%%%%%%%%%%%%%%%%% Initialization section. +if nargin == 0 + +init.f = 'x'; +init.g = '1'; +init.x = '[-2*pi, 2*pi]'; +init.a = '1/2'; +init.l = str2mat( ... + '1/(5+4*cos(x)); [-2*pi, 2*pi]', ... + 'cos(x^3)/(1+x^2); [-2*pi, 2*pi]', ... + 'x^4*(1-x)^4/(1+x^2); [0, 1]', ... + 'x^7-7*x^6+21*x^5-35*x^4+35*x^3-21*x^2+7*x-1; [0.985, 1.015]', ... + 'log(abs(sqrt(x))); [0, 2]', ... + 'tan(sin(x))-sin(tan(x)); [-pi, pi]'); + +f = sym(init.f); +g = sym(init.g); +a = sym(init.a); +x = init.x; +fxlist = init.l; + +% Macros +blanks = ' '; +p = .12*(1:7) - .02; +q = .60 - .14*(1:4); +r = [.10 .10]; + +% Position the two figures and the control panel. +figf = figure('units','normalized','pos',[.01 .50 .48 .48],... + 'menu','none','tag','figf'); +figg = figure('units','normalized','pos',[.50 .50 .48 .48],... + 'menu','none', 'tag','figg'); +figp = figure('units','normalized','pos',[.25 .05 .50 .40],'menu','none', ... + 'tag','figp',... + 'Color',get(0,'DefaultUIControlBackgroundColor'), ... + 'DefaultUIControlUnit','norm','UserData',fxlist); + +% Plot f(x) and g(x). +figure(figf) +ezplot(f,x,figf) +figure(figg) +ezplot(g,x,figg) + +% Control panel +figure(figp) +uicontrol('style','frame','pos',[0.01 0.60 0.98 0.38]); +uicontrol('style','frame','pos',[0.01 0.01 0.98 0.58]); +uicontrol('style','text','string','f = ','pos',[0.04 0.86 0.09 0.10],... + 'tag','fobj','UserData',f); +uicontrol('style','text','string','g = ','pos',[0.04 0.74 0.09 0.10],... + 'tag','gobj','UserData',g); +uicontrol('style','text','string','x = ','pos',[0.04 0.62 0.09 0.10],... + 'tag','xstr','UserData',x); +uicontrol('style','text','string','a = ','pos',[0.54 0.62 0.09 0.10],... + 'tag','aobj','UserData',a); +uicontrol('pos',[.12 .86 .82 .10],'style','edit','horiz','left', ... + 'backgroundcolor','white', ... + 'string', [blanks char(f)],'tag','Sf', ... + 'CallBack','funtool Sfcallback'); +uicontrol('pos',[.12 .74 .82 .10],'style','edit','horiz','left', ... + 'backgroundcolor','white', ... + 'string', [blanks char(g)], 'tag','Sg',... + 'CallBack','funtool Sgcallback'); +uicontrol('pos',[.12 .62 .32 .10],'style','edit','horiz','left', ... + 'backgroundcolor','white','string',[blanks x], 'tag','Sx',... + 'CallBack','funtool Sxcallback'); +uicontrol('pos',[.62 .62 .32 .10],'style','edit','horiz','left', ... + 'backgroundcolor','white', 'tag','Sa',... + 'string',[blanks char(a)],'CallBack','funtool Sacallback'); + +% Top row of unary operators. +uicontrol('pos',[p(1) q(1) r],'string','df/dx', ... + 'CallBack','funtool(''row1'',''diff'')'); +uicontrol('pos',[p(2) q(1) r],'string','int f', ... + 'CallBack','funtool(''row1'',''int'')'); +uicontrol('pos',[p(3) q(1) r],'string','simple f', ... + 'CallBack','funtool(''row1'',''simple'')'); +uicontrol('pos',[p(4) q(1) r],'string','num f', ... + 'CallBack','funtool(''row1'',''num'')'); +uicontrol('pos',[p(5) q(1) r],'string','den f', ... + 'CallBack','funtool(''row1'',''den'')'); +uicontrol('pos',[p(6) q(1) r],'string','1/f', ... + 'CallBack','funtool(''row1'',''1/f'')'); +uicontrol('pos',[p(7) q(1) r],'string','finv', ... + 'CallBack','funtool(''row1'',''finverse'')'); + +% Second row of unary operators. +uicontrol('pos',[p(1) q(2) r],'string','f+a', ... + 'CallBack','funtool(''row2'',''f+a'')'); +uicontrol('pos',[p(2) q(2) r],'string','f-a', ... + 'CallBack','funtool(''row2'',''f-a'')'); +uicontrol('pos',[p(3) q(2) r],'string','f*a', ... + 'CallBack','funtool(''row2'',''f*a'')'); +uicontrol('pos',[p(4) q(2) r],'string','f/a', ... + 'CallBack','funtool(''row2'',''f/a'')'); +uicontrol('pos',[p(5) q(2) r],'string','f^a', ... + 'CallBack','funtool(''row2'',''f^a'')'); +uicontrol('pos',[p(6) q(2) r],'string','f(x+a)', ... + 'CallBack','funtool(''row2'',''f(x+a)'')'); +uicontrol('pos',[p(7) q(2) r],'string','f(x*a)', ... + 'CallBack','funtool(''row2'',''f(x*a)'')'); + +% Third row, binary operators. +uicontrol('pos',[p(1) q(3) r],'string','f + g', ... + 'CallBack','funtool(''row3'',''f+g'')'); +uicontrol('pos',[p(2) q(3) r],'string','f - g', ... + 'CallBack','funtool(''row3'',''f-g'')'); +uicontrol('pos',[p(3) q(3) r],'string','f * g', ... + 'CallBack','funtool(''row3'',''f*g'')'); +uicontrol('pos',[p(4) q(3) r],'string','f / g', ... + 'CallBack','funtool(''row3'',''f/g'')'); +uicontrol('pos',[p(5) q(3) r],'string','f(g)', ... + 'CallBack','funtool(''row3'',''f(g)'')'); +uicontrol('pos',[p(6) q(3) r],'string','g = f', ... + 'CallBack','funtool(''row3'',''g=f'')'); +uicontrol('pos',[p(7) q(3) r],'string','swap', ... + 'CallBack','funtool(''row3'',''swap'')'); + +% Fourth row, auxilliary controls. +uicontrol('pos',[p(1) q(4) r],'string','Insert','CallBack','funtool Insert'); +uicontrol('pos',[p(2) q(4) r],'string','Cycle','CallBack','funtool Cycle'); +uicontrol('pos',[p(3) q(4) r],'string','Delete','CallBack','funtool Delete'); +uicontrol('pos',[p(4) q(4) r],'string','Reset','Tag','reset', ... + 'UserData', init, 'CallBack', 'funtool Reset'); +uicontrol('pos',[p(5) q(4) r],'string','Help', ... + 'CallBack','helpwin funtool'); +uicontrol('pos',[p(6) q(4) r],'string','Demo', ... + 'CallBack','funtool Demo'); +uicontrol('pos',[p(7) q(4) r],'string','Close', ... + 'CallBack','funtool close'); + +%%%%%%%%%%%%%%%%%%%%%%%%%% end of Initialization section + +else +switch keyword + +%%%%%%%%%%%%%%%%%%%%%%%%%% Callback for top row of unary operators. +case 'row1' + figp = findobj(0,'tag','figp'); + fhndl = findobj(figp,'tag','fobj'); + f = get(fhndl,'UserData'); + x = get(findobj(figp,'tag','xstr'),'UserData'); + figf = findobj(0,'tag','figf'); + + switch varargin{1} + case 'diff' + f = diff(f); + case 'int' + f = int(f); + case 'simple' + f = simple(f); + case 'num' + [f,ans] = numden(f); + case 'den' + [ans,f] = numden(f); + case '1/f' + f = 1/f; + case 'finverse' + f = finverse(f); + end + + set(fhndl,'UserData',f); + ezplot(f,x,figf) + blanks = ' '; + set(findobj(figp,'tag','Sf'),'string',[blanks char(f)]); + +%%%%%%%%%%%%%%%%%%%%%%%%%% Callback for second row of unary operators. +case 'row2' + figp = findobj(0,'tag','figp'); + fhndl = findobj(figp,'tag','fobj'); + f = get(fhndl,'UserData'); + x = get(findobj(figp,'tag','xstr'),'UserData'); + a = get(findobj(figp,'tag','aobj'),'UserData'); + figf = findobj(0,'tag','figf'); + + switch varargin{1} + case 'f+a' + f = f+a; + case 'f-a' + f = f-a; + case 'f*a' + f = f*a; + case 'f/a' + f = f/a; + case 'f^a' + f = f^a; + case 'f(x+a)' + f = subs(f,sym('x'),sym('x')+a); + case 'f(x*a)', ... + f = subs(f,sym('x'),sym('x')*a); + end + + set(fhndl,'UserData',f); + ezplot(f,x,figf) + blanks = ' '; + set(findobj(figp,'tag','Sf'),'string',[blanks char(f)]); + +%%%%%%%%%%%%%%%%%%%%%%%%%% Callback for third row, binary operators. +case 'row3' + blanks = ' '; + + % Get variables. + figp = findobj(0,'tag','figp'); + fhndl = findobj(figp,'tag','fobj'); + ghndl = findobj(figp,'tag','gobj'); + f = get(fhndl,'UserData'); + g = get(ghndl,'UserData'); + x = get(findobj(figp,'tag','xstr'),'UserData'); + a = get(findobj(figp,'tag','aobj'),'UserData'); + figf = findobj(0,'tag','figf'); + figg = findobj(0,'tag','figg'); + + if strcmp(varargin{1}, 'g=f') + g = f; + set(ghndl,'UserData',g); + ezplot(g,x,figg) + set(findobj(figp,'tag','Sg'),'string',[blanks char(g)]); + + elseif strcmp(varargin{1}, 'swap') + h = f; f = g; g = h; + set(fhndl,'UserData',f); + ezplot(f,x,figf) + set(findobj(figp,'tag','Sf'),'string',[blanks char(f)]); + set(ghndl,'UserData',g); + ezplot(g,x,figg) + set(findobj(figp,'tag','Sg'),'string',[blanks char(g)]); + + else + switch varargin{1} + case 'f+g' + f = f+g; + case 'f-g' + f = f-g; + case 'f*g' + f = f*g; + case 'f/g' + f = f/g; + case 'f(g)' + f = compose(f,g); + end + + set(fhndl,'UserData',f); + ezplot(f,x,figf) + set(findobj(figp,'tag','Sf'),'string',[blanks char(f)]); + end + +%%%%%%%%%%%%%%%%%%%%%%%%%% Callback for F's edit text box. +case 'Sfcallback' + figp = findobj(0,'tag','figp'); + f = sym(get(gco,'string')); + fhndl = findobj(figp,'tag','fobj'); + set(fhndl,'UserData',f); + x = get(findobj(figp,'tag','xstr'),'UserData'); + figf = findobj(0,'tag','figf'); + ezplot(f,x,figf) + +%%%%%%%%%%%%%%%%%%%%%%%%%% Callback for G's edit text box. +case 'Sgcallback' + figp = findobj(0,'tag','figp'); + g = sym(get(gco,'string')); + ghndl = findobj(figp,'tag','gobj'); + set(ghndl,'UserData',g); + x = get(findobj(figp,'tag','xstr'),'UserData'); + figg = findobj(0,'tag','figg'); + ezplot(g,x,figg) + +%%%%%%%%%%%%%%%%%%%%%%%%%% Callback for A's edit text box. +case 'Sacallback' + a = sym(get(gco,'String')); + set(findobj(gcf,'tag','aobj'),'UserData',a); + +%%%%%%%%%%%%%%%%%%%%%%%%%% Callback for X's edit text box. +case 'Sxcallback' + + figp = findobj(0,'tag','figp'); + x = get(gco,'String'); + + % add brackets if needed + if isempty(x=='['), + x = ['[' x ']']; + blanks = ' '; + set(gco,'string',[blanks x]), + end; + set(findobj(figp,'tag','xstr'),'UserData',x); + + fhndl = findobj(figp,'tag','fobj'); + ghndl = findobj(figp,'tag','gobj'); + f = get(fhndl,'UserData'); + g = get(ghndl,'UserData'); + a = get(findobj(figp,'tag','aobj'),'UserData'); + figf = findobj(0,'tag','figf'); + figg = findobj(0,'tag','figg'); + + ezplot(f,x,figf) + ezplot(g,x,figg) + +%%%%%%%%%%%%%%%%%%%%%%%%%% Callback for Insert button. +case 'Insert' + f = get(findobj(gcf,'tag','fobj'),'UserData'); + x = get(findobj(gcf,'tag','xstr'),'UserData'); + fxlist = get(gcf,'UserData'); + fxlist = str2mat(fxlist,[char(f) '; ' x]); + set(gcf,'UserData',fxlist); + +%%%%%%%%%%%%%%%%%%%%%%%%%% Callback for Cycle button. +case 'Cycle' + + % Get variables. + figp = gcf; + figf = findobj(0,'tag','figf'); + fxlist = get(figp,'UserData'); + + fx = fxlist(1,:); + fx(find(fx==' ')) = []; + k = find(fx == ';'); + fstr = fx(1:k-1); f = sym(fstr); + set(findobj(figp,'tag','fobj'),'UserData',f); + x = fx(k+1:length(fx)); + set(findobj(figp,'tag','xstr'),'UserData',x); + + blanks = ' '; + set(findobj(figp,'tag','Sx'),'string',[blanks x]); + set(findobj(figp,'tag','Sf'),'string',[blanks fstr]); + ezplot(f,x,figf); + k = [2:size(fxlist,1),1]; + fxlist = fxlist(k,:); + set(figp,'UserData',fxlist); + +%%%%%%%%%%%%%%%%%%%%%%%%%% Callback for Delete button. +case 'Delete' + + % Get variables. + figp = gcf; + f = get(findobj(figp,'tag','fobj'),'UserData'); + x = get(findobj(figp,'tag','xstr'),'UserData'); + fxlist = get(figp,'UserData'); + + fx = [char(f) ';' x]; + fx(find(fx==' ')) = []; + for k = 1:size(fxlist,1), + element = fxlist(k,:); + element(find(element==' ')) = []; + if strcmp(fx,element) + fxlist(k,:) = []; + break + end + end; + if isempty(fxlist), fxlist = '0-0; [0,1]'; end + + set(figp,'UserData',fxlist); + +%%%%%%%%%%%%%%%%%%%%%%%%%% Callback for Reset button. +case 'Reset' + blanks = ' '; + + % Get variables. + figp = gcf; + figf = findobj(0,'tag','figf'); + figg = findobj(0,'tag','figg'); + init = get(findobj(figp,'tag','reset'),'UserData'); + + set(findobj(figp,'tag','fobj'),'UserData',sym(init.f)); + set(findobj(figp,'tag','Sf'),'String',[blanks init.f]); + ezplot(sym(init.f),init.x,figf); + + set(findobj(figp,'tag','gobj'),'UserData',sym(init.g)); + set(findobj(figp,'tag','Sg'),'String',[blanks init.g]); + ezplot(sym(init.g),init.x,figg); + + set(findobj(figp,'tag','xstr'),'UserData',init.x); + set(findobj(figp,'tag','Sx'),'string',[blanks init.x]); + + set(findobj(figp,'tag','aobj'),'UserData',sym(init.a)); + set(findobj(figp,'tag','Sa'),'string',[blanks init.a]); + + set(figp,'UserData',init.l); + + % Reset all buttons to default bkgd color. + set(findobj(figp,'Style','pushbutton'),'BackgroundColor','default'); + +%%%%%%%%%%%%%%%%%%%%%%%%%% Callback for Close button. +case 'close' + close(findobj(0,'tag','figf')); + close(findobj(0,'tag','figg')); + close(findobj(0,'tag','figp')); + +%%%%%%%%%%%%%%%%%%%%%%%%%% Callback for Demo button. +case 'Demo' + + % "B" is the vector of button handles in the control panel. + % "prog" is a "program" consisting of button codes. + + prog = {'Reset','f/a','int f','f + g','1/f', ... + 'int f','finv','int f','df/dx','num f'}; + B = findobj(gcf,'Style','pushbutton'); + for k = 1: length(prog) + currB = findobj(B,'String',prog{k}); + set(currB,'BackgroundColor','white'); + eval(get(currB,'Callback')); + pause(1) + set(currB,'BackgroundColor','default'); + end + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +end % switch statement for callbacks +end % end of FUNTOOL diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\274\224\347\244\272\347\250\213\345\272\217/MATHMODL.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\274\224\347\244\272\347\250\213\345\272\217/MATHMODL.M" index 24066c8e79bfe6b7bad16a39d7a0b2c694b5e576..ad45b916544760bfe31c7accba9b290d07bf6b48 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\274\224\347\244\272\347\250\213\345\272\217/MATHMODL.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\274\224\347\244\272\347\250\213\345\272\217/MATHMODL.M" @@ -1,3 +1,118 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:ab2b15ec861edc859bf1572f89bfa1d8fbc8578c0831ec93704bc46a18ca22cc -size 4127 +clc;echo on; +%########################################################################## +% 本工具箱主要为学习数学建模和参加中国大学生数学建模竞赛的同学而制作。汇集了 +% 数学建模常用的最优化、微分方程、数据拟合、统计等方面的计算工具,包括我们自 +% 编的补充工具。工具箱还汇集了96-99中国大学生数学建模竞赛题解MATLAB程序。本 +% 工具箱也可供使用MATLAB作数值计算的学生、教师和科技人员参考。 +%########################################################################## +echo off +more(25) +echo on + +pause % Strike any key to continue (Note: use Ctrl-C to abort) + +type contents %使用回车键看下行 +more off + +pause % Strike any key to continue (Note: use Ctrl-C to abort) +clc + +%########################################################################## +% 例一:使用中文帮助 +%########################################################################## + +%(1)其实使用中文帮助和通常使用英文帮助是一样的,例如你想知道 plot 的用法,用命令 +pause % Strike any key to continue (Note: use Ctrl-C to abort) +help plot +%以上最前几行是中文帮助,紧随其后的是原先的英文帮助。 + +pause % Strike any key to continue (Note: use Ctrl-C to abort) +%(2)除少数英文帮助已配例题外,中文帮助大多都配有中文例题,例如样条插值 spline +pause % Strike any key to continue (Note: use Ctrl-C to abort) +help spline + +%现在使用 +pause % Strike any key to continue (Note: use Ctrl-C to abort) +clear;close; +x=[1 2 4 5];y=[1 3 4 2]; +p=spline(x,y); +xi=1:0.1:5;yi=ppval(p,xi); +plot(x,y,'o',xi,yi,'k'); +title('not-a-knot SPLINE'); +[b,c]=unmkpp(p) + +%(3)中文帮助只列出了最常用的使用格式,完全格式请参考英文帮助。 + +pause % Strike any key to continue (Note: use Ctrl-C to abort) +close;clc +%########################################################################## +% 例二:学习最优化方法 +%########################################################################## + +% MATLAB优化工具箱有一个学习最优化计算的教程。使用tutdemo启动(这里省略)。 +% 如果你对其中英文命令不太懂,请使用相应的中文帮助 +% +% 例如下列非线性约束优化方法 constr +pause % Strike any key to continue (Note: use Ctrl-C to abort) +help constr + + +% 根据帮助,现在请你先用MATLAB编辑器将模型函数写成M函数optfun2.m +% function [f,g]=optfun2(x) +% f=-x(1)*x(2)*x(3) +% g(1)=x(1)-x(2)-10; +% g(2)=x(1)-x(2)-2*x(3); +% g(3)=x(1)+2*x(2)+2*x(3)-72 +% 然后在MATLAB命令窗口求解 +pause % Strike any key to continue (Note: use Ctrl-C to abort) +x0=[10,10,10]; +options(13)=1; +[x,options]=constr('optfun2',x0,options,[-inf,10,-inf]',[inf,20,inf]); +x %最大值点 +-options(8) %目标函数最大值 + +pause % Strike any key to continue (Note: use Ctrl-C to abort) +clc +%########################################################################## +% 例三:自编工具 +%########################################################################## + +% 我们自编了许多MATLAB欠缺的数学建模工具。如重积分、随机模拟、离散优化等。例如 +% 下列最小生成树kruskal算法使用了CMEX技术 +pause % Strike any key to continue (Note: use Ctrl-C to abort) +help kruskal + +clear;map=[1 2 30;2 4 5;2 5 50;3 2 6;4 3 1;1 4 20;1 5 30] +[out,len]=kruskal(map) + +pause % Strike any key to continue (Note: use Ctrl-C to abort) +close;clc; +%########################################################################## +% 例四:数学建模竞赛题解程序 +%########################################################################## + +%我们编写了96—99数学建模竞赛一些优秀解答的MATLAB程序 +pause % Strike any key to continue (Note: use Ctrl-C to abort) +type jm98a1 +echo off +jm98a1 +echo on +pause % Strike any key to continue (Note: use Ctrl-C to abort) +type jm98a2 +echo off +jm98a2 +echo on +pause % Strike any key to continue (Note: use Ctrl-C to abort) +type jm98a1 +echo off +jm98a3 +echo on +pause % Strike any key to continue (Note: use Ctrl-C to abort) +clc +%########################################################################## +% 愿我们的工作能对您有所帮助。 +% 欢迎交流,请多提意见。 +% Email: ljhu@dhu.edu.cn +% 参加制作:胡良剑、丁晓东、马裕、陆锁军、李伟钟 +%########################################################################## +echo off diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\274\224\347\244\272\347\250\213\345\272\217/TUTDEMO.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\274\224\347\244\272\347\250\213\345\272\217/TUTDEMO.M" index a5f1ae18e1df7e4b5bb62b785659d734be15ae92..e946c261aea455e710c48d89eeef9a532d7dbf53 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\274\224\347\244\272\347\250\213\345\272\217/TUTDEMO.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\274\224\347\244\272\347\250\213\345\272\217/TUTDEMO.M" @@ -1,3 +1,406 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5c1bde03305520ddf4490a47fb8317242874cdfed8143fbe10b9c29ae391034e -size 12464 +echo off +%优化工具箱简明教程 +%TUTDEMO Tutorial for Optimization Toolbox. + +% Copyright (c) 1990-98 by The MathWorks, Inc. +% $Revision: 1.12 $ $Date: 1997/11/29 01:23:27 $ + +echo on; clc +%TUTDEMO Tutorial for Optimization Toolbox. +%########################################################################## +% +% This is a demonstration script-file for the OPTIMIZATION TOOLBOX +% It closely follows the Tutorial section of the users' guide +% +% It consists of: +% (1) unconstrained optimization example +% (2) constrained optimization example +% (3) constrained example using gradients +% (4) bounded example +% (5) equality constrained example +% (6) unconstrained example using user-supplied settings +% +% All the principles outlined in this demonstration apply to the other +% routines: attgoal, minimax, leastsq, fsolve. +% +% The routines differ from the Tutorial Section examples in the manual +% only in that M-files for the objective functions have not been coded +% up. Instead the expression form of the syntax has been used where +% functions to be minimized are expressed as MATLAB string variables. +% +%########################################################################## + +pause % Strike any key to continue (Note: use Ctrl-C to abort) +clc +%########################################################################## +% DEMO 1: UNCONSTRAINED PROBLEM +%-------------------------------------------------------------------------- +% +% Consider initially the problem of finding a minimum to the function: +% +% 2 2 +% f(x) = exp(x(1)) . (4x(1) + 2x(2) + 4x(1).x(2) + 2x(2) + 1) +% +%-------------------------------------------------------------------------- +pause % Strike any key to continue + +% The function to be minimized is + +fun = 'exp(x(1)) * (4*x(1)^2 + 2*x(2)^2 + 4*x(1)*x(2) + 2*x(2) + 1)'; + +pause % Strike any key to continue + +% Take a guess at the solution + +x0 = [-1 1]; + +pause % Strike any key to continue + +% Use default parameters + +options = []; + +pause % Strike any key to start the optimization + +[x, options] = fminu(fun, x0, options); + +% The optimizer has found a solution at: +x +pause % Strike any key to continue + +% The function value at the solution is: +options(8) +pause % Strike any key to continue + +% The total number of function evaluations was: +options(10) +% Note: by entering the expression explicitly in a string using +% the variable 'x' we avoid having to write an M-file. + +pause % Strike any key for next demo +clc +%########################################################################## +% DEMO 2: CONSTRAINED PROBLEM +%-------------------------------------------------------------------------- +% +% Consider the above problem with two additional constraints: +% +% 2 2 +% minimize f(x) = exp(x(1)) . (4x(1) + 2x(2) + 4x(1).x(2) + 2x(2) + 1) +% +% subject to 1.5 + x(1).x(2) - x(1) - x(2) <= 0 +% - x(1).x(2) <= 10 +% +%-------------------------------------------------------------------------- +pause % Strike any key to continue + +% Objective Function and constraints + +funf = 'f = exp(x(1)) * (4*x(1)^2 + 2*x(2)^2 + 4*x(1)*x(2) + 2*x(2) + 1);'; +fung = 'g = [1.5 + x(1)*x(2) - x(1) - x(2); -x(1)*x(2) - 10];'; +fun = [funf fung]; + +pause % Strike any key to continue + +% Take a guess at the solution + +x0 = [-1 1]; + +pause % Strike any key to continue + +% Use default parameters + +options = []; + +pause % Strike any key to start the optimization + +[x, options] = constr(fun, x0, options); + +% A solution to this problem has been found at: +x +pause % Strike any key to continue + +% The function value at the solution is: +options(8) +pause % Strike any key to continue + +% Both the constraints are active at the solution: +g = [1.5 + x(1)*x(2) - x(1) - x(2); - x(1)*x(2) - 10] +pause % Strike any key to continue + +% The total number of function evaluations was: +options(10) +pause % Strike any key for next demo +clc +%########################################################################## +% DEMO 3: BOUNDED EXAMPLE +%-------------------------------------------------------------------------- +% +% Consider the above problem with additional bound constraints: +% +% 2 2 +% minimize f(x) = exp(x(1)) . (4x(1) + 2x(2) + 4x(1).x(2) + 2x(2) + 1) +% +% subject to 1.5 + x(1).x(2) - x(1) - x(2) <= 0 +% - x(1).x(2) <= 10 +% +% and x(1) >= 0 +% x(2) >= 0 +% +%-------------------------------------------------------------------------- +pause % Strike any key to continue + +% Objective Function and constraints + +funf = 'f = exp(x(1)) * (4*x(1)^2 + 2*x(2)^2 + 4*x(1)*x(2) + 2*x(2) + 1);'; +fung = 'g = [1.5 + x(1)*x(2) - x(1) - x(2); -x(1)*x(2) - 10];'; +fun = [funf fung]; + +pause % Strike any key to continue + +% Again, make a guess at the solution + +x0 = [-1 1]; + +pause % Strike any key to continue + +% Use default parameters + +options = []; + +pause % Strike any key to continue + +% This time we will use the bounded syntax: +% X = CONSTR(`FUN', X0, OPTIONS, VLB, VUB) + +vlb = zeros(1,2); % Lower bounds X >= 0 +vub = []; % No upper bounds + +pause % Strike any key to start the optimization + +[x, options] = constr(fun, x0, options, vlb, vub); + +% The solution to this problem has been found at: +x +pause % Strike any key to continue + +% The function value at the solution is: +options(8) +pause % Strike any key to continue + +% The constraint values at the solution are: +g = [1.5 + x(1)*x(2) - x(1) - x(2); - x(1)*x(2) - 10] +pause % Strike any key to continue + +% The total number of function evaluations was: +options(10) +pause % Strike any key for next demo +clc +%########################################################################## +% DEMO 4: USER-SUPPLIED GRADIENTS +%-------------------------------------------------------------------------- +% The above problem can be solved more efficiently and accurately if +% gradients are supplied by the user. This demo shows how this may be +% performed. +% +% Again the problem is: +% 2 2 +% minimize f(x) = exp(x(1)) . (4x(1) + 2x(2) + 4x(1).x(2) + 2x(2) + 1) +% +% subject to 1.5 + x(1).x(2) - x(1) - x(2) <= 0 +% - x(1).x(2) <= 10 +% +%-------------------------------------------------------------------------- +pause % Strike any key to continue + +% Objective function and constraints + +funf = 'f = exp(x(1)) * (4*x(1)^2 + 2*x(2)^2 + 4*x(1)*x(2) + 2*x(2) + 1);'; +fung = 'g = [1.5 + x(1)*x(2) - x(1) - x(2); -x(1)*x(2) - 10];'; +fun = [funf fung]; + +pause % Strike any key to continue + +% Make a guess at the solution: + +x0 = [-1 1]; + +pause % Strike any key to continue + +% Use default parameters + +options = []; + +pause % Strike any key to continue + +% Partial derivatives + +dfdx1 = 'exp(x(1))*(4*x(1)^2+2*x(2)^2+4*x(1)*x(2)+2*x(2)+1)+4*exp(x(1))*(2*x(1)+x(2));'; +dfdx2 = '4*exp(x(1))*(x(1)+x(2)+0.5);'; +dfdg = '[x(2)-1, -x(2); x(1)-1, -x(1)];'; +grad = ['df=[',dfdx1, dfdx2,']; dg=', dfdg]; + +pause % Strike any key to start the optimization + +[x, options] = constr(fun, x0, options, [], [], grad); + +% As before the solution to this problem has been found at: +x +pause % Strike any key to continue + +% The function value at the solution is: +options(8) +pause % Strike any key to continue + +% Both the constraints are active at the solution: +g = [1.5 + x(1)*x(2) - x(1) - x(2); - x(1)*x(2) - 10] +pause % Strike any key to continue + +% The total number of function evaluations was: +options(10) + +pause % Strike any key for next demo +clc +%########################################################################## +% DEMO 5: EQUALITY CONSTRAINED EXAMPLE +%-------------------------------------------------------------------------- +% +% Consider the above problem with an additional equality constraint: +% +% 2 2 +% minimize f(x) = exp(x(1)) . (4x(1) + 2x(2) + 4x(1).x(2) + 2x(2) + 1) +% +% subject to x(1) + x(2) = 0 +% 1.5 + x(1).x(2) - x(1) - x(2) <= 0 +% - x(1).x(2) <= 10 +% +%-------------------------------------------------------------------------- +pause % Strike any key to continue + +% Objective function and constraints + +funf = 'f = exp(x(1)) * (4*x(1)^2 + 2*x(2)^2 + 4*x(1)*x(2) + 2*x(2) + 1);'; +fung = 'g = [x(1) + x(2); 1.5 + x(1)*x(2) - x(1) - x(2); -x(1)*x(2) - 10];'; +fun = [funf fung]; + +pause % Strike any key to continue + +% Again, make a guess at the solution + +x0 = [-1 1]; + +pause % Strike any key to continue + +% This time we will indicate the number of equality constraints +% by setting options(13) to the number of constraints. The equality +% constraints must be contained the in first few elements of g. + +% One equality constraint + +clear options +options(13) = 1; + +pause % Strike any key to start the optimization + +[x, options] = constr(fun, x0, options); + +% The solution to this problem has been found at: +x +pause % Strike any key to continue + +% The function value at the solution is: +options(8) +pause % Strike any key to continue + +% The constraint values at the solution are: +g = [x(1) + x(2); 1.5 + x(1)*x(2) - x(1) - x(2); -x(1)*x(2) - 10] +pause % Strike any key to continue + +% The total number of function evaluations was: +options(10) + +pause % Strike any key for next demo +clc +%########################################################################## +% DEMO 6: CHANGING THE DEFAULT SETTINGS +%-------------------------------------------------------------------------- +% +% Consider the original unconstrained problem: +% +% 2 2 +% minimize f(x) = exp(x(1)) . (4x(1) + 2x(2) + 4x(1).x(2) + 2x(2) + 1) +% +% This time we will solve it more accurately by overriding the +% default termination criteria (OPTIONS(2) and OPTIONS(3)). +%-------------------------------------------------------------------------- +pause % Strike any key to continue + +% The function to be minimized is + +fun = 'exp(x(1)) * (4*x(1)^2 + 2*x(2)^2 + 4*x(1)*x(2) + 2*x(2) + 1)'; + +pause % Strike any key to continue + +% Again, make a guess at the solution: + +x0 = [-1 1]; + +pause % Strike any key to continue + +% Override the default termination criteria: +clear options +options(2) = 1e-8; % Termination tolerance on X +options(3) = 1e-8; % Termination tolerance on F + +pause % Strike any key to start the optimization + +[x, options] = fminu(fun, x0, options); + +% The optimizer has found a solution at: +x +pause % Strike any key to continue + +% The function value at the solution is: +options(8) +pause % Strike any key to continue + +% The total number of function evaluations was: +options(10) +% Note: warning messages may be displayed because of problems +% in the calculation of finite difference gradients at the +% solution point. They are an indication that tolerances are overly +% stringent, however, the optimizer always continues to make steps +% towards the solution. + +pause % Strike any key to continue + +% If we want a tabular display of each iteration we can set +% options(1) = 1 as follows: + +options = 1; % Set display parameter to on, the others to default. + +pause % Strike any key to start the optimization + +[x, options] = fminu(fun, x0, options); + +% The optimizer has found a solution at: +x +pause % Strike any key to continue + +% The function value at the solution is: +options(8) +pause % Strike any key to continue + +% The total number of function evaluations was: +options(10) +% At each major iteration the table displayed consists of: +% - number of function values +% - function value +% - step length used in the line search +% - gradient in the direction of search +% + +%------------------------------Demo End------------------------------------ +pause % Strike any key for main menu +echo off +disp('End of demo') diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\274\224\347\244\272\347\250\213\345\272\217/\346\274\224\347\244\272\347\250\213\345\272\217.txt" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\274\224\347\244\272\347\250\213\345\272\217/\346\274\224\347\244\272\347\250\213\345\272\217.txt" index 40f3918a0bb19e9a077ff41a2039fcb7b8ab0357..5c19cc9d5fb302e5e83a3e82459f16438381d192 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\274\224\347\244\272\347\250\213\345\272\217/\346\274\224\347\244\272\347\250\213\345\272\217.txt" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\346\274\224\347\244\272\347\250\213\345\272\217/\346\274\224\347\244\272\347\250\213\345\272\217.txt" @@ -1,3 +1,4 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:3afc47781c9a7a8c173d8c9124850c3b093037c89bfc1e3aa9ee5b9a978e4793 -size 101 +% 演示程序 +% funtool - 函数计算器 +% tutdemo - MATLAB优化工具箱教程 +% mathmodl - 数学建模工具箱演示 \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/BNB18.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/BNB18.M" index b84b09fe500fa3622d1f482f44b07e31d1d5b9cb..354793e5537af0006464ed5f3df3d4bd747fd299 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/BNB18.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/BNB18.M" @@ -1,3 +1,386 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:bb0b48805d4a64a38ca5fc13547abb07b62b6bcf5a465c5f2d25467d7e2253e3 -size 14681 +function [errmsg,Z,X,t,c,fail] = BNB18(fun,x0,xstat,xl,xu,A,B,Aeq,Beq,nonlcon,setts,options1,options2,maxSQPit,varargin); +%非线性整数规划模型求解分支定界迭代算法。在MATLAB5.3中使用,需Optimization toolbox 2.0支持? +% Minimize F(x) +%subject to: xlb <= x <=xub +% A*x <= B +% Aeq*x=Beq +% C(x)<=0 +% Ceq(x)=0 +% +% x(i)可为连续变量,整数,或固定值 +% 使用格式 +%[errmsg,Z,X]=BNB18('fun',x0,xstat,xl,xu,A,B,Aeq,Beq,'nonlcon',setts) +%fun: M文件名,表示最小化目标函数f=fun(x) +%x0: 列向量,表示变量初值 +%xstat: 列向量,xstat(i)=0表示x(i)为连续变量,1表示整数,2表示固定值 +%xl: 列向量,表示变量下界 +%xu: 列向量,表示变量上界 +%A: 矩阵, 表示线性不等式约束系数 +%B: 列向量, 表示线性不等式约束上界 +%Aeq: 矩阵, 表示线性等式约束系数 +%Beg: 列向量, 表示线性不等式约束右端值 +%nonlcon: M文件名,表示非线性约束函数[C,Ceq]=nonlin(x),其中C(x)为不等式约束, +% Ceq(x)为等式约束 +%setts: 算法设置 +%errmsq: 返回错误提示 +%Z: 返回目标函数最小值 +%X: 返回最优解 +% +%例题 +% max x1*x2*x3 +% -x1+2*x2+2*x3>=0 +% x1+2*x2+2*x3<=72 +% 10<=x2<=20 +% x1-x2=10 +% 先写 M函数discfun.m +% function f=discfun(x) +% f=-x(1)*x(2)*x(3); +%求解 +% clear;x0=[25,15,10]';xstat=[1 1 1]'; +% xl=[20 10 -10]';xu=[30 20 20]'; +% A=[1 -2 -2;1 2 2];B=[0 72]';Aeq=[1 -1 0];Beq=10; +% [err,Z,X]=BNB18('discfun',x0,xstat,xl,xu,A,B,Aeq,Beq); +% XMAX=X',ZMAX=-Z +% +% BNB18 Finds the constrained minimum of a function of several possibly integer variables. +% Usage: [errmsg,Z,X,t,c,fail] = +% BNB18(fun,x0,xstatus,xlb,xub,A,B,Aeq,Beq,nonlcon,settings,options1,options2,maxSQPiter,P1,P2,...) +% +% BNB solves problems of the form: +% Minimize F(x) subject to: xlb <= x0 <=xub +% A*x <= B Aeq*x=Beq +% C(x)<=0 Ceq(x)=0 +% x(i) is continuous for xstatus(i)=0 +% x(i) integer for xstatus(i)= 1 +% x(i) fixed for xstatus(i)=2 +% +% BNB uses: +% Optimization Toolbox Version 2.0 (R11) 09-Oct-1998 +% From this toolbox fmincon.m is called. For more info type help fmincon. +% +% fun is the function to be minimized and should return a scalar. F(x)=feval(fun,x). +% x0 is the starting point for x. x0 should be a column vector. +% xstatus is a column vector describing the status of every variable x(i). +% xlb and xub are column vectors with lower and upper bounds for x. +% A and Aeq are matrices for the linear constrains. +% B and Beq are column vectors for the linear constrains. +% nonlcon is the function for the nonlinear constrains. +% [C(x);Ceq(x)]=feval(nonlcon,x). Both C(x) and Ceq(x) should be column vectors. +% +% errmsg is a string containing an error message if BNB found an error in the input. +% Z is the scalar result of the minimization, X the values of the accompanying variables. +% t is the time elapsed while the algorithm BNB has run, c is the number of BNB cycles and +% fail is the number of unsolved leaf sub-problems. +% +% settings is a row vector with settings for BNB: +% settings(1) (standard 0) if 1: use phase 1 by relaxation. This sometimes makes the algorithm +% faster, because phase 1 means the algorithm first checks if there is a feasible solution +% for a sub-problem before trying to find a best solution. If there is no feasible solution BNB +% will not try to find a best solution. +% settings(2) (standard 0) if 1: if the sub-problem did not converge do not branch. If a sub- +% problem did not converge this means BNB did not find a solution for it. Normally BNB will +% branch the problem so it can try again to find a solution. +% A sub-problem that is a leaf of the branch-and-bound-three can not be branched. If such +% a problem does not converge it will be considered unfeasible and the parameter fail will be +% raised by one. +% settings(3) (standard 0) if 1: if 1 a sub-problem that did not converge but did return a feasible +% point will be considered convergent. This might be useful if fmincon is having a hard time with +% a certain problem but you do want some results. +% options1 and options2 are options structures for phase 1 and phase 2. +% For details about the options structure type help optimset. +% maxSQPiter is a global variable used by fmincon (if modified as described in bnb18.m). +% maxSQPiter is 1000 by default. +% P1,P2,... are parameters to be passed to fun and nonlcon. +% F(x)=feval(fun,x,P1,P2,...). [C(x);Ceq(x)]=feval(nonlcon,x,P1,P2,...). +% Type edit BNB18 for more info. + +% E.C. Kuipers +% e-mail E.C.Kuipers@cpedu.rug.nl +% FI-Lab +% Applied Physics +% Rijksuniversiteit Groningen + +% To get rid of bugs and to stop fmincon from hanging make the following chances: +% +% In optim/private/nlconst.m ($Revision: 1.20 $ $Date: 1998/08/24 13:46:15 $): +% Get EXITFLAG independent of verbosity. +% After the lines: disp(' less than 2*options.TolFun but constraints are not satisfied.') +% end +% EXITFLAG = -1; +% end +% end +% status=1; +% add the line: if (strncmp(howqp, 'i',1) & mg > 0), EXITFLAG = -1; end; +% +% In optim/private/qpsub.m ($Revision: 1.21 $ $Date: 1998/09/01 21:37:56 $): +% Stop qpsub from hanging. +% After the line: % Andy Grace 7-9-90. Mary Ann Branch 9-30-96. +% add the line: global maxSQPiter; +% and changed the line: maxSQPiters = Inf; +% to the line: if exist('maxSQPiter','var'), maxSQPiters = maxSQPiter; else maxSQPiters=inf; end; +% I guess there was a reason to put maxSQPiters at infinity, but this works fine for me. +global maxSQPiter; + +% STEP 0 CHECKING INPUT +Z=[]; X=[]; t=0; c=0; fail=0; +if nargin<2, errmsg='BNB needs at least 2 input arguments.'; return; end; +if isempty(fun), errmsg='No fun found.'; return; end; +if isempty(x0), errmsg='No x0 found.'; return; +elseif size(x0,2)>1, errmsg='x0 must be a column vector.'; return; end; +xstatus=zeros(size(x0)); +if nargin>2 & ~isempty(xstat) + if all(size(xstat)<=size(x0)) + xstatus(1:size(xstat))=xstat; + else errmsg='xstatus must be a column vector the same size as x0.'; return; + end; + if any(xstatus~=round(xstatus) | xstatus<0 | 23 & ~isempty(xl) + if all(size(xl)<=size(x0)) + xlb(1:size(xl,1))=xl; + else errmsg='xlb must be a column vector the same size as x0.'; return; + end; +end; +if any(x04 & ~isempty(xu) + if all(size(xu)<=size(x0)) + xub(1:size(xu,1))=xu; + else errmsg='xub must be a column vector the same size as x0.'; return; + end; +end; +if any(x0>xub) + errmsg='x0 must be in the range x0 <=xub.'; return; +elseif any(xstatus==1 & (~isfinite(xub) | xub~=round(xub))) + errmsg='xub(i) must be an integer if x(i) is an integer variabale.'; return; +end; +xub(find(xstatus==2))=x0(find(xstatus==2)); +if nargin>5 + if ~isempty(A) & size(A,2)~=size(x0,1), errmsg='Matrix A not correct.'; return; end; +else A=[]; end; +if nargin>6 + if ~isempty(B) & any(size(B)~=[size(A,1) 1]), errmsg='Column vector B not correct.'; return; end; +else B=[]; end; +if isempty(A) & ~isempty(B), errmsg='A and B should only be nonempty together.'; return; end; +if isempty(B) & ~isempty(A), B=zeros(size(A,1),1); end; +if nargin>7 & ~isempty(Aeq) + if size(Aeq,2)~=size(x0,1), errmsg='Matrix Aeq not correct.'; return; end; +else Aeq=[]; end; +if nargin>8 + if ~isempty(Beq) & any(size(Beq)~=[size(Aeq,1) 1]), errmsg='Column vector Beq not correct.'; return; end; +else Beq=[]; end; +if isempty(Aeq) & ~isempty(Beq), errmsg='Aeq and Beq should only be nonempty together'; return; end; +if isempty(Beq) & ~isempty(Aeq), Beq=zeros(size(Aeq,1),1); end; +if nargin<10, nonlcon=''; end; +settings = [0 0 0]; +if nargin>10 & ~isempty(setts) + if all(size(setts)<=size(settings)) + settings(setts~=0)=setts(setts~=0); + else errmsg='settings should be a row vector of length 3.'; return; end; +end; +if nargin<12, options1=[]; end; +options1=optimset(optimset('fmincon'),options1); +if nargin<13, options2=[]; end; +options2=optimset(optimset('fmincon'),options2); +if nargin<14, maxSQPiter=1000; +elseif isnumeric(maxSQPit) & all(size(maxSQPit))==1 & maxSQPit>0 & round(maxSQPit)==maxSQPit + maxSQPiter=maxSQPit; +else errmsg='maxSQPiter must be an integer >0'; return; end; +eval(['z=',fun,'(x0,varargin{:});'],'errmsg=''fun caused error.''; return;'); +if ~isempty(nonlcon) + eval(['[C, Ceq]=',nonlcon,'(x0,varargin{:});'],'errmsg=''nonlcon caused error.''; return;'); + if size(C,2)>1 | size(Ceq,2)>1, errmsg='C en Ceq must be column vectors.'; return; end; +end; + +% STEP 1 INITIALISATION +currentwarningstate=warning; +warning off; +tic; +lx = size(x0,1); +z_incumbent=inf; +x_incumbent=inf*ones(size(x0)); +I = ceil(sum(log2(xub(find(xstatus==1))-xlb(find(xstatus==1))+1))+size(find(xstatus==1),1)+1); +stackx0=zeros(lx,I); +stackx0(:,1)=x0; +stackxlb=zeros(lx,I); +stackxlb(:,1)=xlb; +stackxub=zeros(lx,I); +stackxub(:,1)=xub; +stacksize=1; +xchoice=zeros(size(x0)); +if ~isempty(Aeq) + j=0; + for i=1:size(Aeq,1) + if Beq(i)==1 & all(Aeq(i,:)==0 | Aeq(i,:)==1) + J=find(Aeq(i,:)==1); + if all(xstatus(J)~=0 & xchoice(J)==0 & xlb(J)==0 & xub(J)==1) + if all(xstatus(J)~=2) | all(x0(J(find(xstatus(J)==2)))==0) + j=j+1; + xchoice(J)=j; + if sum(x0(J))==0, errmsg='x0 not correct.'; return; end; + end; + end; + end; + end; +end; +errx=optimget(options2,'TolX'); +errcon=optimget(options2,'TolCon'); +fail=0; +c=0; + +% STEP 2 TERMINIATION +while stacksize>0 + c=c+1; + + % STEP 3 LOADING OF CSP + x0=stackx0(:,stacksize); + xlb=stackxlb(:,stacksize); + xub=stackxub(:,stacksize); + x0(find(x0xub))=xub(find(x0>xub)); + stacksize=stacksize-1; + + % STEP 4 RELAXATION + + % PHASE 1 + con=BNBCON(x0,A,B,Aeq,Beq,xlb,xub,nonlcon,varargin{:}); + if abs(con)>errcon & settings(1)~=0 + [x1 dummy feasflag]=fmincon('0',x0,A,B,Aeq,Beq,xlb,xub,nonlcon,options1,varargin{:}); + if settings(3) & feasflag==0 + con=BNBCON(x1,A,B,Aeq,Beq,xlb,xub,nonlcon,varargin{:}); + if con0 + [x z convflag]=fmincon(fun,x1,A,B,Aeq,Beq,xlb,xub,nonlcon,options2,varargin{:}); + if settings(3) & convflag==0 + con=BNBCON(x,A,B,Aeq,Beq,xlb,xub,nonlcon,varargin{:}); + if con=z_incumbent & convflag>0 + % FC 2 + separation=0; + elseif all(abs(round(x(K))-x(K))0 + % FC 3 + z_incumbent = z; + x_incumbent = x; + separation = 0; + end; + + % STEP 6 SELECTION + if separation == 1 & ~isempty(K) + dzsep=-1; + for i=1:size(K,1) + dxsepc = abs(round(x(K(i)))-x(K(i))); + if dxsepc>=errx | convflag==0 + xsepc = x; xsepc(K(i))=round(x(K(i))); + dzsepc = abs(feval(fun,xsepc,varargin{:})-z); + if dzsepc>dzsep + dzsep=dzsepc; + ixsep=K(i); + end; + end; + end; + + % STEP 7 SEPARATION + if xchoice(ixsep)==0 + + % XCHOICE==0 + branch=1; + domain=[xlb(ixsep) xub(ixsep)]; + while branch==1 + xboundary=(domain(1)+domain(2))/2; + if x(ixsep)=6 +% 2x1+3x2=9; +% x1, x2>=0且为整数 +%先将x1+2x2>=6化为 - x1 - 2x2<= -6 +%c=[1 4]; +%A=[2 1;-1 -2]; +%b=[8;-6]; +%Aeq=[2 3]; +%beq=9; +%[y,fval]=BranchBound(c,A,b,Aeq,beq) + + + +function [y,fval]=BranchBound(c,A,b,Aeq,beq) +NL=length(c); +UB=inf; +LB=-inf; +FN=[0]; +AA(1)={A}; +BB(1)={b}; +k=0; +flag=0; +while flag==0; + [x,fval,exitFlag]=linprog(c,A,b,Aeq,beq); + if (exitFlag == -2) | (fval >= UB) + FN(1)=[]; + if isempty(FN)==1 + flag=1; + else + k=FN(1); + A=AA{k}; + b=BB{k}; + end + else + for i=1:NL + if abs(x(i)-round(x(i)))>1e-7 + kk=FN(end); + FN=[FN,kk+1,kk+2]; + temp_A=zeros(1,NL); + temp_A(i)=1; + temp_A1=[A;temp_A]; + AA(kk+1)={temp_A1}; + b1=[b;fix(x(i))]; + BB(kk+1)={b1}; + temp_A2=[A;-temp_A]; + AA(kk+2)={temp_A2}; + b2=[b;-(fix(x(i))+1)]; + BB(kk+2)={b2}; + FN(1)=[]; + k=FN(1); + A=AA{k}; + b=BB{k}; + break; + end + end + if (i==NL) & (abs(x(i)-round(x(i)))<=1e-7) + UB=fval; + y=x; + FN(1)=[]; + if isempty(FN)==1 + flag=1; + else + k=FN(1); + A=AA{k}; + b=BB{k}; + end + end + end +end +y=round(y); +fval=c*y; diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/DIJKSTRA.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/DIJKSTRA.M" index ccbdece460746995c6297c237c9f08098fcb3788..2157f08ec983ad7e942a5796eae7f7e1a291534f 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/DIJKSTRA.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/DIJKSTRA.M" @@ -1,3 +1,80 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:18c068d7b1b8862c6f6cc1b855c8c89a837808b4342e16589a66fca0adfe659a -size 1573 +function [p,v]=dijkstra(map,u1,u2) +%求网络最短路径的dijkstra算法 +%用法: +% 首先输入矩阵: +% map=[起点1 终点1 边长1;起点2 终点2 边长2;............;起点n 终点n 边长n] +% 和u1,u2 +% 注意:这里map为无向图。 +% 再用[p,v]=dijkstra(map,u1,u2)求最短路径 +%参数说明 +% map----3列邻接矩阵,每行表示一条边. +% 第一列表示起点,第二列表示终点,第三列表示边长 +% u1---所求路径起点 +% u2---所求路径终点 +% p---输出最短路径 +% v---最短路径的总长度 +% +% +%例如 +% clear;map=[1 2 30;2 4 5;2 5 50;3 2 6;4 3 1;1 4 20;1 5 3] +% [p,v]=dijkstra(map,2,5) +% +%本算法调用由VC++6.0程序dijk.c生成的MEX文件dijk.dll求得最短路径 +% 表示无穷大的数值上界(默认10000) +% +%See also KRUSKAL,LPINT,DP,BNBGUI,BNB18, + +%By W. Z. Li, 2000 + +[m,n]=size(map); +mx=max(max(map(:,1:2))); +l=10000*ones(mx,mx); +for i=1:m + l(map(i,1),map(i,2))=map(i,3); + l(map(i,2),map(i,1))=map(i,3); + end; + [p,v]=dijk(l,u1,u2); +p=p(p~=0); + +%画图 +close; + set(gcf,'numbertitle','off'); + set(gcf,'name','Dijkstra'); + set(gca,'visible','off'); + axis square; + hold on; + + b=linspace(0,2*pi,mx+1); + b1=10*sin(b); + b2=10*cos(b); + plot(b1,b2,'ko'); + hh=char(49:48+mx); + for i=1:mx + text(b1(i)+0.5,b2(i),hh(i)); + end; + for j=1:m + for i=1:2 + c1(i)=b1(map(j,i)); + c2(i)=b2(map(j,i)); + end; + plot(c1,c2,':'); + end; + + kk=length(p); + k=0; + for i=1:kk + if(p(1,i)~=0) + k=k+1; + end; + end; + for i=1:k + d1(i)=b1(p(1,i)); + d2(i)=b2(p(1,i)); + h=plot(d1,d2,'r'); +end; + set(h,'linewidth',2); + legend(h,'粗线表示最短路'); + hold off + + + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/DYNPROG.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/DYNPROG.M" index 347fc38ac36887338347a83bd762d4924207d805..63d161dbe577b617709588c9c16ce6563e0f79cf 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/DYNPROG.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/DYNPROG.M" @@ -1,3 +1,86 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:ab9ef86cd6f10ff0289bf031250390694cfe9dbe36752b49d1019cf44f7df6b0 -size 3151 +function [p_opt,fval]=dynprog(x,DecisFun,ObjFun,TransFun) +% [p_opt,fval]=dynprog(x,DecisFun,ObjFun,TransFun) +% 自由始端和终端的动态规划,求指标函数最小值的逆序算法递归 +% 计算程序。x是状态变量,一列代表一个阶段状态;M-函数 +% DecisFun(k,x)由阶段k的状态变量x求出相应的允许决策变量; +% M-函数ObjFun(k,x,u)是阶段指标函数,M-函数TransFun(k,x,u) +% 是状态转移函数,其中x是阶段k的某状态变量,u是相应的决策变量; +% 输出p_opt由4列构成,p_opt=[序号组;最优策略组;最优轨线组; +% 指标函数值组];fval是一个列向量,各元素分别表示p_opt各 +% 最优策略组对应始端状态x的最优函数值; +% +%例(参看胡良剑等编《数学实验--使用MATLAB》P180 +%先写3个函数 +% eg13f1_2.m +% function u=DecisF_1(k,x) +% 在阶段k由状态变量x的值求出其相应的决策变量所有的取值 +% c=[70,72,80,76];q=10*[6,7,12,6]; +% if q(k)-x<0,u=0:100; %决策变量不能取为负值 +% else,u=q(k)-x:100;end; %产量满足需求且不超过100 +% u=u(:); +% eg13f2_2.m +% function v=ObjF_1(k,x,u) +% 阶段k的指标函数 +% c=[70,72,80,76];v=c(k)*u+2*x; +% eg13f3_2.m +% function y=TransF_1(k,x,u) +% 状态转移方程 +% q=10*[6,7,12,6];y=x+u-q(k); +%调用DynProg.m计算如下: +% clear;x=nan*ones(14,4);% x是10的倍数,最大范围0≤x≤130, +% %因此x=0,1,...13,所以x初始化取14行,nan表示无意义元素 +% x(1:7,1)=10*(0:6)'; % 按月定义x的可能取值 +% x(1:11,2)=10*(0:10)';x(1:12,3)=10*(2:13)'; +% x(1:7,4)=10*(0:6)'; +% [p,f]=dynprog(x,'eg13f1_2','eg13f2_2','eg13f3_2') + +% By X.D. Ding June 2000 + +k=length(x(1,:));f_opt=nan*ones(size(x));d_opt=f_opt; +t_vubm=inf*ones(size(x));x_isnan=~isnan(x);t_vub=inf; +% 计算终端相关值 +tmp1=find(x_isnan(:,k));tmp2=length(tmp1); +for i=1:tmp2 + u=feval(DecisFun,k,x(i,k));tmp3=length(u); + for j=1:tmp3 + tmp=feval(ObjFun,k,x(tmp1(i),k),u(j)); + if tmp<=t_vub, + f_opt(i,k)=tmp;d_opt(i,k)=u(j);t_vub=tmp; +end;end;end +% 逆推计算各阶段的递归调用程序 +for ii=k-1:-1:1 + tmp10=find(x_isnan(:,ii));tmp20=length(tmp10); + for i=1:tmp20 + u=feval(DecisFun,ii,x(i,ii));tmp30=length(u); + for j=1:tmp30 + tmp00=feval(ObjFun,ii,x(tmp10(i),ii),u(j)); + tmp40=feval(TransFun,ii,x(tmp10(i),ii),u(j)); + tmp50=x(:,ii+1)-tmp40; + tmp60=find(tmp50==0); + if ~isempty(tmp60), + tmp00=tmp00+f_opt(tmp60(1),ii+1); + if tmp00<=t_vubm(i,ii) + f_opt(i,ii)=tmp00;d_opt(i,ii)=u(j); + t_vubm(i,ii)=tmp00; +end;end;end;end;end; +fval=f_opt(tmp1,1); +% 记录最优决策、最优轨线和相应指标函数值 +p_opt=[];tmpx=[];tmpd=[];tmpf=[]; +tmp0=find(x_isnan(:,1));tmp01=length(tmp0); +for i=1:tmp01, + tmpd(i)=d_opt(tmp0(i),1); + tmpx(i)=x(tmp0(i),1); + tmpf(i)=feval(ObjFun,1,tmpx(i),tmpd(i)); + p_opt(k*(i-1)+1,[1,2,3,4])=[1,tmpx(i),... +tmpd(i),tmpf(i)]; + for ii=2:k + tmpx(i)=feval(TransFun,ii-1,tmpx(i),tmpd(i)); + tmp1=x(:,ii)-tmpx(i);tmp2=find(tmp1==0); + if ~isempty(tmp2) + tmpd(i)=d_opt(tmp2(1),ii); + end; + tmpf(i)=feval(ObjFun,ii,tmpx(i),tmpd(i)); + p_opt(k*(i-1)+ii,[1,2,3,4])=[ii,tmpx(i),... +tmpd(i),tmpf(i)]; +end;end; + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/ENUM.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/ENUM.M" index def22292a5b44960e0adb2c007a660905c5c97ac..9588474476e41167e33ff7aaac97af2b1fe04741 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/ENUM.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/ENUM.M" @@ -1,3 +1,15 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:50c753cad7a440acb822c49fbc026051094b1b4528908c4411967e9c8de820ff -size 289 +%最优化枚举法例——满足一定条件求最优解的穷举法 +clear; +vmax=-inf; +for x2=10:20 + for x3=-5:16 + if x2+2*x3>=10&3*x2+2*x3<=62, + v=(x2+10)*x2*x3; + if v>vmax, + vmax=v;x20=x2;x30=x3; + end + end + end +end +x1=x20+10,x2=x20,x3=x30 +vmax diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/KRUSK.C" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/KRUSK.C" index 67f1b2dd84df0dcc955eab090fb5408497102e8b..8ad1affd4b3f878eddfd6c2f8ad9577312d28f82 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/KRUSK.C" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/KRUSK.C" @@ -1,3 +1,77 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:51076d8e27b21ae7adafbda3d31b544eced210229ff8aa605cc5c6dce6001431 -size 1633 +#include "mex.h" +#include "stdlib.h" +#include "iostream.h" +typedef struct TR +{double fromvex,endvex; + double length; +}edge; +void krusk(double *out,double *len,double *op,int mrows,int ncols) +{edge *T,*M,*N; + int i,j,v,u,c,p,d,max=10000; + edge k; + p=0; +T=(edge *)malloc(mrows*(mrows-1)*sizeof(struct TR)); +for(i=0;ifromvex=i+1; +(T+p)->endvex=j+1; +(T+p)->length=*(op+i*ncols+j); +p++; +} + +for(i=p-1;i>=0;--i) +{for(j=0;jlength>(T+j+1)->length) + {k=*(T+j); + *(T+j)=*(T+j+1); + *(T+j+1)=k; + } +} +} +N=(edge *)malloc(mrows*(mrows-1)*sizeof(struct TR)); +for(i=0;ifromvex!=(T+i)->endvex) + { *(M+d)=*(N+i); + d++; + if ((T+i)->endvex>(T+i)->fromvex) + { u=(T+i)->endvex;v=(T+i)->fromvex;} + else + {u=(T+i)->fromvex;v=(T+i)->endvex;} + c=u; + u=v; + for(j=0;jfromvex==c) + (T+j)->fromvex=v; + if ((T+j)->endvex==c) + (T+j)->endvex=v; + } + } + } +*len=0; +for(j=0;jfromvex; +*(out+j*2+1)=(M+j)->endvex; +*len=*len+(M+j)->length; +} +} + +void mexFunction(int nlhs,mxArray *plhs[],int nrhs,const mxArray *prhs[]) +{double *out; + double *op; + double *len; + int mrows,ncols; + op=mxGetPr(prhs[0]); + mrows=mxGetM(prhs[0]); + ncols=mxGetN(prhs[0]); + plhs[0]=mxCreateDoubleMatrix(2,mrows-1,mxREAL); + plhs[1]=mxCreateDoubleMatrix(1,1,mxREAL); +out=mxGetPr(plhs[0]); + len=mxGetPr(plhs[1]); +krusk(out,len,op,mrows,ncols); +} diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/KRUSK.DLL" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/KRUSK.DLL" index 5146eef1fb387361a2a41bf0e46129e21c173ee8..9dfab5f99981312486bc0c07b552b06dd3bf775f 100644 Binary files "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/KRUSK.DLL" and "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/KRUSK.DLL" differ diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/KRUSKAL.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/KRUSKAL.M" index 172b6a207d409aeda2473b6197882a66ff3eacb7..1911b5d5534569d6e2367d2174ce696ef013743e 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/KRUSKAL.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/KRUSKAL.M" @@ -1,3 +1,70 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:d702409686b1c294214ebf5cd1e584d9fe9adec1629c50f85fcd87118e96bf47 -size 1479 +function [out,len]=kruskal(map) +%求最小生成树算法,通过kruskal算法求最优树,并给出相应图像. +%用法: +% 首先输入矩阵: +% map=[起点1 终点1 边长1;起点2 终点2 边长2;............;起点n 终点n 边长n] +% 再用[out,len]=kruskal(map)求最优树 +%参数说明 +% map----3列邻接矩阵,每行表示一条边.第一列表示起点,第二列表示终点,第三列表示边长 +% out---输出边阵:[起点 终点] +% len---输出最优树的总长度 +% +%例如 +% clear;map=[1 2 30;2 4 5;2 5 50;3 2 6;4 3 1;1 4 20;1 5 30] +% [out,len]=kruskal(map) +% +%本算法调用由VC++6.0程序crusal1.c生成的MEX文件kruskal1.dll求得最小生成树, +% 表示无穷大的数值上界(默认10000) +% +%See also DIJKSTRA,LPINT,DP,BNBGUI,BNB18, + +%By S. J. Lu 2000 + +mx=0; +[m,n]=size(map); +mx=max(max(map(:,1:2))); +op=10000*ones(mx,mx); +for i=1:m + op(map(i,1),map(i,2))=map(i,3); + op(map(i,2),map(i,1))=map(i,3); +end +[out,len]=krusk(op); +out=out'; + +% 画图 +close; + set(gcf,'numbertitle','off'); + set(gcf,'name','Kruskal'); + set(gca,'visible','off'); + axis square; + hold on; + + b=linspace(0,2*pi,mx+1); + b1=10*sin(b); + b2=10*cos(b); + plot(b1,b2,'ko'); + + hh=char(49:48+mx); + for i=1:mx + text(b1(i)+1,b2(i),hh(i)); + end; + map + for j=1:m + for i=1:2 + c1(i)=b1(map(j,i)); + c2(i)=b2(map(j,i)); + end; + plot(c1,c2,':'); +end; + + k1=length(out); + for i=1:k1 + for j=1:2 + d1(j)=b1(out(i,j)); + d2(j)=b2(out(i,j)); + end + h=plot(d1,d2,'r'); + set(h,'linewidth',2); + end + legend(h,'粗线为最优树'); + hold off \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/L01p_e.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/L01p_e.m" index f4a90f2dec4c5e6d33ea9ff1662a33214a772684..36ab4db04171e67be5c7ebe83440c3b7f9603beb 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/L01p_e.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/L01p_e.m" @@ -1,3 +1,29 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:b269ec89a87a56116eae777d7b5f74b8f3bb624b02ac240702d76b22b5fbdcd4 -size 749 +function [x,f]=L01p_e(c,A,b,N) +% [x,f]= L01p_e(c,A,b,N)用枚举法求解下列 +% 0-1线性规划问题 +% min f=c'*x, s.t. A*x<=b,x的分量全为整数0或1, +% 其中N表示约束条件 Ax ≤ b中的前N个是等式,N= 0时可以省略。 +% 返回结果x是最优解,f是最优解处的函数值。 +% +%例 max f=3x1+5x2+2x3+4x4+2x5+3x6 +% s.t. 8x1+13x2+6x3+9x4+5x5+7x6<=24, x1,…,x6均为0或1 +%求解 +% c=-[3,5,2,4,2,3];a=[8,13,6,9,5,7];b=24; +% x=l01p_e(c,a,b) + +% By X.D. Ding, June 2000 + +if nargin<4,N=0;end +c=c(:);b=b(:); +[m,n]=size(A);x=[];f=abs(c')*ones(n,1);i=1; +while i<=2^n + B=de2bi(i-1,n)'; + t=A*B-b;t11=find(t(1:N,:)~=0); + t12=find(t(N+1:m,:)>0);t1=[t11;t12]; + if isempty(t1) + f=min([f,c'*B]); + if c'*B==f,x=B;end + end + i=i+1; +end + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/L01p_ie.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/L01p_ie.m" index ea72ca07c629c807121e31a63b193b48fdbf0fcf..fabf444a75c11fe9b028b6046bdaa8eb6b8d03b3 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/L01p_ie.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/L01p_ie.m" @@ -1,3 +1,34 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e1bf70edd623378030e5b1291a4130f1cdb8b4194d24ee6490c78a0967dfcb09 -size 963 +function [x,f]=L01p_ie(c,A,b,N) +% [x,f]= L01p_ie(c,A,b,N)用隐枚举法求解下列0-1线性规划问题 +% min f=c'*x, s.t. A*x<=b, x的分量全为整数0或1, +% 其中N表示约束条件 Ax ≤ b中的前N个是等式,N= 0时可以省略。% 程序中用到命令B = de2bi(D),其作用是将10进制数向量D转换 +% 为相应二进制数按位构成的以0,1为元素的矩阵B。 +% 此命令在toolbox communication中。 +% 返回结果x是最优解,f是最优解处的函数值。 +%例 max f=3x1+5x2+2x3+4x4+2x5+3x6 +% s.t. 8x1+13x2+6x3+9x4+5x5+7x6<=24, x1,…,x6均为0或1 +%求解 +% c=-[3,5,2,4,2,3];a=[8,13,6,9,5,7];b=24; +% x=1p_ie(c,a,b) + +% By X.D. Ding, June 2000 + +if nargin<4,N=0;end +c=c(:);b=b(:); +A=[-A(1:N,:);A];b=[-b(1:N);b]; +[m,n]=size(A);x=[];f=abs(c')*ones(n,1); +A=[c';A];b=[f;b];i=1; +while i<=2^n + B=de2bi(i-1,n)'; + j=1;t1=A(j,:)*B-b(j); + while(t1<=0&j0,j=1;end + end + if j==m+1 + x=B;f=c'*B; + b(1)=min([b(1),f]); + end + i=i+1; +end + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/LPINT.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/LPINT.M" index f773b5dc3fd8f6403596eb7b4604249405a1b55b..47684850ac5bd304f6c5e406066f78d143f70b00 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/LPINT.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/LPINT.M" @@ -1,3 +1,76 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:9f9c9cae824142527eed7569473f46bcf3bdef8d877c44bb229ca1c7cffe8e48 -size 2038 +function [x,y]=lpint(f,G,h,lb,ub,x,n,id) +%整数线性规划分枝定界法,可求解线性全整数或线性混合整数规划。 +% y = min f'x subject to: Gx <= h x为整 +% x +%用法 +% [x,y]=lpint(f,G,h) +% [x,y]=lpint(f,G,h,lb,ub) +% [x,y]=lpint(f,G,h,lb,ub,x) +% [x,y]=lpint(f,G,h,lb,ub,x,n) +% [x,y]=lpint(f,G,h,lb,ub,x,n,id) +%参数说明 +% x: 最优解列向量 +% y: 目标函数最小值 +% f: 目标函数系数列向量 +% G: 约束条件系数矩阵 +% h: 约束条件右端列向量 +% lb: 解的的下界列向量(Default: -inf) +% ub: 解的的上界列向量(Default: inf) +% x: 迭代初值列向量 +% n: 等式约束数(Default: 0) +% id: 整数变量指标列向量。1-整数,0-实数(Default: 1) +%例2 min Z=x1+4x2 +% s.t. 2x1+x2<=8 +% x1+2x2>=6 +% x1, x2>=0且为整数 +%先将x1+2x2>=6化为 - x1 - 2x2<= -6 +%[x,y]=lpint([1;4],[2 1;-1 -2],[8;-6],[0;0]) + +% Y. MA & L.J. HU 1999 + +global upper opt c N x0 A b ID; +if nargin<8, id=ones(size(f));end +if nargin<7|isempty(n), n=0;end +if nargin<6, x=[];end +if nargin<5|isempty(ub), ub=inf*ones(size(f));end +if nargin<4|isempty(lb), lb=zeros(size(f));end + +upper=inf; +c=f;N=n;x0=x;A=G;b=h;ID=id; +temp=ILP(lb(:),ub(:)); +x=opt;y=upper; + +%以下子函数 +function y=ILP(vlb,vub) +global upper opt c N x0 A b ID; + warning off; + [x,temp,how]=lp(c,A,b,vlb,vub,x0,N,-1); + if strcmp(how,'ok')~=1 + return; + end; + if c'*x-upper>0.00005 %in order to avoid error + return; + end; + + if max(abs(x.*ID-round(x.*ID)))<0.00005 + if upper-c'*x>0.00005 %in order to avoid error + opt=x'; + upper=c'*x; + return; + else + opt=[opt;x']; + return; + end; + end; + notintx=find(abs(x-round(x))>=0.00005); %in order to avoid error + intx=fix(x); + tempvlb=vlb; + tempvub=vub; + if vub(notintx(1,1),1)>=intx(notintx(1,1),1)+1 + tempvlb(notintx(1,1),1)=intx(notintx(1,1),1)+1; + temp=ILP(tempvlb,vub); + end; + if vlb(notintx(1,1),1)<=intx(notintx(1,1),1) + tempvub(notintx(1,1),1)=intx(notintx(1,1),1); + temp=ILP(vlb,tempvub); + end; \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/LPINT.asv" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/LPINT.asv" index 2a24ec16a3075695591ed52e0931f90ae0358daf..3f44a3401fddf8da9ce1831779be4ce4c2cd7482 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/LPINT.asv" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/LPINT.asv" @@ -1,3 +1,76 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:8a7334421aa203651514515fd2b5254af22619b9357b8c5f0d40c109940bc05c -size 2048 +function [x,y]=lpint(f,G,h,lb,ub,x,n,id) +%整数线性规划分枝定界法,可求解线性全整数或线性混合整数规划。 +% y = min f'x subject to: Gx <= h x为整 +% x +%用法 +% [x,y]=lpint(f,G,h) +% [x,y]=lpint(f,G,h,lb,ub) +% [x,y]=lpint(f,G,h,lb,ub,x) +% [x,y]=lpint(f,G,h,lb,ub,x,n) +% [x,y]=lpint(f,G,h,lb,ub,x,n,id) +%参数说明 +% x: 最优解列向量 +% y: 目标函数最小值 +% f: 目标函数系数列向量 +% G: 约束条件系数矩阵 +% h: 约束条件右端列向量 +% lb: 解的的下界列向量(Default: -inf) +% ub: 解的的上界列向量(Default: inf) +% x: 迭代初值列向量 +% n: 等式约束数(Default: 0) +% id: 整数变量指标列向量。1-整数,0-实数(Default: 1) +%例2 min Z=x1+4x2 +% s.t. 2x1+x2<=8 +% x1+2x2>=6 +% x1, x2>=0且为整数 +%先将x1+2x2>=6化为 - x1 - 2x2<= -6 +%[x,y]=lpint([1;4],[2 1;-1 -2],[8;-6],[0;0],[inf inf]) + +% Y. MA & L.J. HU 1999 + +global upper opt c N x0 A b ID; +if nargin<8, id=ones(size(f));end +if nargin<7|isempty(n), n=0;end +if nargin<6, x=[];end +if nargin<5|isempty(ub), ub=inf*ones(size(f));end +if nargin<4|isempty(lb), lb=zeros(size(f));end + +upper=inf; +c=f;N=n;x0=x;A=G;b=h;ID=id; +temp=ILP(lb(:),ub(:)); +x=opt;y=upper; + +%以下子函数 +function y=ILP(vlb,vub) +global upper opt c N x0 A b ID; + warning off; + [x,temp,how]=lp(c,A,b,vlb,vub,x0,N,-1); + if strcmp(how,'ok')~=1 + return; + end; + if c'*x-upper>0.00005 %in order to avoid error + return; + end; + + if max(abs(x.*ID-round(x.*ID)))<0.00005 + if upper-c'*x>0.00005 %in order to avoid error + opt=x'; + upper=c'*x; + return; + else + opt=[opt;x']; + return; + end; + end; + notintx=find(abs(x-round(x))>=0.00005); %in order to avoid error + intx=fix(x); + tempvlb=vlb; + tempvub=vub; + if vub(notintx(1,1),1)>=intx(notintx(1,1),1)+1 + tempvlb(notintx(1,1),1)=intx(notintx(1,1),1)+1; + temp=ILP(tempvlb,vub); + end; + if vlb(notintx(1,1),1)<=intx(notintx(1,1),1) + tempvub(notintx(1,1),1)=intx(notintx(1,1),1); + temp=ILP(vlb,tempvub); + end; \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/MINROUTE.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/MINROUTE.M" index dd5789c7fe62d769949805a5475d8b69a333024a..53d8717b9749ee751b7c81aa2b85b67f91e1e82a 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/MINROUTE.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/MINROUTE.M" @@ -1,3 +1,34 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:84b5f86cf921e1272927e9a644ecce7fba7166dda08475bd0b8e6763e24356d6 -size 1259 +function [S,D]=minRoute(i,m,W) +%图与网络论中求最短路径的Dijkstra算法 M-函数 +%格式 [S,D]=minroute(i,n,W) +% i为最短路径的起始点,m为图顶点数,W为图的带权邻接矩阵, +% 不构成边的两顶点之间的权用inf表示。显示结果为:S的每 +% 一列从上到下记录了从始点到终点的最短路径所经顶点的序号; +% D是一行向量,记录了S中所示路径的大小; +%例如 +% clear;w=inf*ones(6);w(1,3)=10;w(1,5)=30; +% w(1,6)=100;w(2,3)=5;w(3,4)=50;w(4,6)=10; +% w(5,4)=20;w(5,6)=60; +% i=1;[s,d]=minroute(i,6,w) + +% By X.D. Ding June 2000 + +dd=[];tt=[];ss=[];ss(1,1)=i;V=1:m;V(i)=[];dd=[0;i]; +% dd的第二行是每次求出的最短路径的终点,第一行是最短路径的值 +kk=2;[mdd,ndd]=size(dd); +while ~isempty(V) + [tmpd,j]=min(W(i,V));tmpj=V(j); + for k=2:ndd + [tmp1,jj]=min(dd(1,k)+W(dd(2,k),V)); + tmp2=V(jj);tt(k-1,:)=[tmp1,tmp2,jj]; + end + tmp=[tmpd,tmpj,j;tt];[tmp3,tmp4]=min(tmp(:,1)); + if tmp3==tmpd, ss(1:2,kk)=[i;tmp(tmp4,2)]; + else,tmp5=find(ss(:,tmp4)~=0);tmp6=length(tmp5); + if dd(2,tmp4)==ss(tmp6,tmp4) + ss(1:tmp6+1,kk)=[ss(tmp5,tmp4);tmp(tmp4,2)]; + else, ss(1:3,kk)=[i;dd(2,tmp4);tmp(tmp4,2)]; + end;end + dd=[dd,[tmp3;tmp(tmp4,2)]];V(tmp(tmp4,3))=[]; + [mdd,ndd]=size(dd);kk=kk+1; +end; S=ss; D=dd(1,:); diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/MINTREEK.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/MINTREEK.M" index f4bfbe2dcdc3115ff44b84bd9c38773b021d0f57..587712fae91830f3f8d453772352f0a3a3674e61 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/MINTREEK.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/MINTREEK.M" @@ -1,3 +1,48 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:ac4fe2d894552bfb172e78e835f1ded4f2aa0193094be013902e489d7250be19 -size 1824 +function [Wt,Pp]=mintreek(n,W) +%图论中最小生成树Kruskal算法 及画图程序 M-函数 +%格式 [Wt,Pp]=mintreek(n,W):n为图顶点数,W为图的带权邻接矩 +% 阵,不构成边的两顶点之间的权用inf表示。显示最小生成树的边及 +% 顶点, Wt为最小生成树的权,Pp(:,1:2)为最小生成树边的两顶点, +% Pp(:,3)为最小生成树的边权,Pp(:,4)为最小生成树边的序号; +%附图,红色连线为最小生成树的图; +%例如 +% n=6;w=inf*ones(6); +% w(1,[2,3,4])=[6,1,5];w(2,[3,5])=[5,3]; +% w(3,[4,5,6])=[5,6,4];w(4,6)=2;w(5,6)=6; +% [a,b]=mintreek(n,w) + +% By X.D. Ding June 2000 + +tmpa=find(W~=inf);[tmpb,tmpc]=find(W~=inf); +w=W(tmpa);e=[tmpb,tmpc]; %w是W中非inf元素按列构成的向量 + %e的每一行元素表示一条边的两个顶点的序号 +[wa,wb]=sort(w);E=[e(wb,:),wa,wb];[nE,mE]=size(E); +temp=find(E(:,1)-E(:,2));E=E(temp,:); +P=E(1,:);k=length(E(:,1)); +while (rank(E)>0) + temp1=max(E(1,2),E(1,1));temp2=min(E(1,2),E(1,1)); + for i=1:k; + if (E(i,1)==temp1), E(i,1)=temp2; end; +if (E(i,2)==temp1), E(i,2)=temp2; end; + end; + a=find(E(:,1)-E(:,2));E=E(a,:); + if (rank(E)>0),P=[P;E(1,:)];k=length(E(:,1)); end; +end; +Wt=sum(P(:,3));Pp=[e(P(:,4),:),P(:,3:4)]; +for i=1:length(P(:,3)); %显示顶点vi与边ej +disp([' ','e',num2str(P(i,4)),' ','(v',... +num2str(P(i,1)),' ','v',num2str(P(i,2)),')']); +end; +% 以下是画图程序 +axis equal; hold on +[x,y]=cylinder(1,n);xm=min(x(1,:)); ym=min(y(1,:)); +xx=max(x(1,:)); yy=max(y(1,:)); +axis([xm-abs(xm)*0.15,xx+abs(xx)*0.15,ym-abs(ym)*0.15, yy+abs(yy)*0.15]); plot(x(1,:),y(1,:),'ko') +for i=1:n; temp=[' v',int2str(i)]; + text(x(1,i),y(1,i),temp); end; +for i=1:nE; plot(x(1,e(i,:)),y(1,e(i,:)),'b'); end; +for i=1:length(P(:,4)); + plot(x(1,Pp(i,1:2)),y(1,Pp(i,1:2)),'r'); end; +text(-0.35,-1.2,['最小生成树的权为',' ',num2str(Wt)]); +title('红色连线为最小生成树'); axis('off');hold off + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/MONTE.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/MONTE.M" index c07998c2db4d58c757723f47bd66e755f2d86a83..9b5fe706b5c3dbed3a8ae74a5d56e750baa8e1f4 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/MONTE.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/MONTE.M" @@ -1,3 +1,27 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:b88aa948c2dfc145f439de502a6d226970130e0e715b699ed3471b0089f5e2cf -size 664 +%MonteCarlo法解最优化的例 +clear; +%设定一个初值 +vmax=-inf; + %specrnd生成给定分布律的随机数 + %r=specrnd(x,p)返回一个来自分布律P(x)=p的随机数 + %r=specrnd(x,p,m,n)返回m*n随机数矩阵 + %p的默认值为等概率 + %例如 分布律 + % ξ 7 8 9 10 + % p 0.1 0.2 0.4 0.3 + %命令 specrnd([7 8 9 10],[0.1 0.2 0.4 0.3],10,10) + %产生100个模拟数据 +x2=specrnd(10:20,[],1,5); +x3=specrnd(-5:16,[],1,5); +for i=1:5 + for j=1:5 + if x2(i)+2*x3(j)>=10&3*x2(i)+2*x3(j)<=62, + v=(x2(i)+10)*x2(i)*x3(j); + if v>vmax, + vmax=v;x20=x2(i);x30=x3(j); + end + end + end +end +x1=x20+10,x2=x20,x3=x30 +vmax diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/\347\246\273\346\225\243\344\274\230\345\214\226.txt" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/\347\246\273\346\225\243\344\274\230\345\214\226.txt" index 197c6ba7dc828bef5b6517e511254703b10016a9..7f3157479df18209c94fc815eb925b3c3c9c39e7 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/\347\246\273\346\225\243\344\274\230\345\214\226.txt" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\246\273\346\225\243\344\274\230\345\214\226/\347\246\273\346\225\243\344\274\230\345\214\226.txt" @@ -1,3 +1,13 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:65c41fea9d51379305392c8a90081e0957a8938e621758ff6a616746b87a0826 -size 427 +% 离散优化 +% *enum - 枚举法 +% *monte - 蒙特卡洛法 +% *lpint (BranchBound)- 线性整数规划 +% *L01p_e - 0-1整数规划枚举法 +% *L01p_ie - 0-1整数规划隐枚举法 +% *bnb18 - 非线性整数规划(在MATLAB5.3使用) +% *bnbgui - 非线性整数规划图形工具(在MATLAB5.3使用) +% *mintreek - 最小生成树kruskal算法 +% *minroute - 最短路dijkstra算法 +% *krusk - 最小生成树kruskal算法mex程序 +% *dijkstra - 最短路dijkstra算法mex程序 +% *dynprog - 动态规划 \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\200\222\346\216\250\345\205\263\347\263\273\345\274\217\347\232\204\344\275\234\345\233\276\347\250\213\345\272\217.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\200\222\346\216\250\345\205\263\347\263\273\345\274\217\347\232\204\344\275\234\345\233\276\347\250\213\345\272\217.m" index 8d5bf154d91b630e4aa09815ccc84e05eda9da1f..5ec631ecaba0843a6c4aadba8490159680b3b6bf 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\200\222\346\216\250\345\205\263\347\263\273\345\274\217\347\232\204\344\275\234\345\233\276\347\250\213\345\272\217.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\200\222\346\216\250\345\205\263\347\263\273\345\274\217\347\232\204\344\275\234\345\233\276\347\250\213\345\272\217.m" @@ -1,3 +1,6 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:3ffe690e26d2b145bf99ab0b417a724291781eddace52cd331a28fc6fb988e00 -size 143 +x(1)=1;x(2)=10; +hold on +for t=3:10 + x(t)=0.8*x(t-1)+1.5*x(t-2);%递推关系式,注意MATLAB里向量的下标不能从零开始。 +end +plot(2:10,x(2:10)) \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/CHI2TEST.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/CHI2TEST.M" index 9de4a2a6029779d6655a139b0761a86008c29f57..282b91148624a725dde6cd3f6fd43d401fe239c1 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/CHI2TEST.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/CHI2TEST.M" @@ -1,3 +1,24 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:4aab34cde31937dcda527e4e93ccfd69004a7b6bfac154aa36fdffe27abbf753 -size 539 +function [h,sig]=chi2test(n,x,p,alpha) +%[h,sig]=chi2test(n,x,p,alpha) +% 分布拟合度检验 +% n: 数据总数 +% x: 实际组频数向量 +% p: 理论组频数向量 +% h:返回1表示拒绝H0,返回0表示接受H0。 +% sig:返回检验统计量的值,sig< alpha 时h=1 + +% L.J. Hu 8-19-1999 + +if nargin<4,alpha=0.05;end +if min(size(x))~=1|min(size(p))~=1, + error('X,P must be vectors'); +end +kx=length(x);kp=length(p); +if kx~=kp, + error('Dimension of vectors must be agree'); +end + +chi2=sum((x-p).^2./p); +h=0; +sig=1-chi2cdf(chi2,kx-1); +if sig 1 + sigmai = sqrt((nu*s2/(nu-1)) - (r .^2 ./ ((nu-1) .* (1-hatdiag)))); + ser = sqrt(1-hatdiag) .* sigmai; +elseif nu == 1 + ser = sqrt(1-hatdiag) .* rmse; +end + +ti= r ./ ser; + +% Create confidence intervals for residuals. +Z=[(r-tval*ser) (r+tval*ser)]'; +rint=Z'; diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/SORT.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/SORT.M" index 166c89b335c9bf2984b6b1c68e47adf5fb6e0e5b..aa74c525b7849de2dc38f757bc3e6cf2beb355ca 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/SORT.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/SORT.M" @@ -1,3 +1,34 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:27a6aca84604e51f8b98d0fbdeee51ffb0a46cb08d8a5d6f08f0d85fd86ce81d -size 1182 +%列状数据升序排列 +%例如 +% A=[11 4 0.2;22 3 0.5;0 3 0.4]; +% sort(A) +% +%SORT Sort in ascending order. +% For vectors, SORT(X) sorts the elements of X in ascending order. +% For matrices, SORT(X) sorts each column of X in ascending order. +% For N-D arrays, SORT(X) sorts the along the first non-singleton +% dimension of X. When X is a cell array of strings, SORT(X) sorts +% the strings in ASCII dictionary order. +% +% SORT(X,DIM) sorts along the dimension DIM. +% +% [Y,I] = SORT(X) also returns an index matrix I. If X is a +% vector, then Y = X(I). If X is an m-by-n matrix, then +% for j = 1:n, Y(:,j) = X(I(:,j),j); end +% +% When X is complex, the elements are sorted by ABS(X). Complex +% matches are further sorted by ANGLE(X). +% +% Example: If X = [3 7 5 +% 0 4 2] +% +% then sort(X,1) is [0 4 2 and sort(X,2) is [3 5 7 +% 3 7 5] 0 2 4]; +% +% See also SORTROWS, MIN, MAX, MEAN, MEDIAN. + +% Copyright (c) 1984-98 by The MathWorks, Inc. +% $Revision: 5.11 $ $Date: 1997/11/21 23:24:04 $ +% Built-in function. + +% Cell array implementation in @cell/sort.m diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/SORTROWS.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/SORTROWS.M" index 09d5ef5abfafb0abadb6b2764d9301d5383a8263..14ca79181aa427848ddf7c4a8979f567a664fa57 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/SORTROWS.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/SORTROWS.M" @@ -1,3 +1,36 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:2484f953e91f8bd7f9b4b2779be1e69cd021da846b2971b8a2ef74655ed8f657 -size 1256 +function [y,ndx] = sortrows(x,col) +%[Y,I]=sortrows(A,k)按第k列升序的排列,向量I返各行的原编址. +%例如 +% A=[11 4 0.2;22 3 0.5;0 3 0.4]; +% sortrows(A,3) +%SORTROWS Sort rows in ascending order. +% SORTROWS(X) sorts the rows of the matrix X in ascending order as a +% group. For ASCII strings, this is the familiar dictionary sort. +% When X is complex, the elements are sorted by ABS(X). Complex +% matches are further sorted by ANGLE(X). +% +% SORTROWS(X,COL) sorts the matrix based on the columns specified in +% the vector COL. For example, SORTROWS(X,[2 3]) sorts the rows of X +% by the second and third columns of X. +% +% [Y,I] = SORTROWS(X) also returns an index matrix I. If X is a +% vector, then Y = X(I). If X is an m-by-n matrix, then Y = X(I,:). +% +% See also SORT. + +% Copyright (c) 1984-98 by The MathWorks, Inc. +% $Revision: 1.9 $ $Date: 1997/11/21 23:24:05 $ + +if nargin<1, error('Not enough input arguments.'); end +if ndims(x)>2, error('X must be a 2-D matrix.'); end + +if nargin<2, col = 1:size(x,2); end +if isempty(x), y = x; ndx = []; return, end + +% Sort back to front +ndx = (1:size(x,1))'; +for i=length(col):-1:1, + [v,ind] = sort(x(ndx,col(i))); + ndx = ndx(ind); +end +y = x(ndx,:); diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/SPECRND.M" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/SPECRND.M" index b136a0bcf153581ed5e5e6f76477b3d23094750c..88d6f187e0d71429c4684ee75f8fd4e4f0fe24d0 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/SPECRND.M" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/SPECRND.M" @@ -1,3 +1,38 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:8d9768ac0c4be0dd78b27da821ddd51543ccaa9953207d7bb3d7169a7563ca42 -size 1035 +function r=specrnd(x,p,m,n) +% 生成给定分布律的随机数 +% r=specrnd(x,p)返回一个来自分布律P(x)=p的随机数 +% r=specrnd(x,p,m,n)返回m*n随机数矩阵 +% p的默认值为等概率 +% 例如 分布律 +% ξ 7 8 9 10 +% p 0.1 0.2 0.4 0.3 +% 命令 specrnd([7 8 9 10],[0.1 0.2 0.4 0.3],10,10) +% 产生100个模拟数据 + +% L. J. HU 9-10-1999 + +if nargin<4, n=1;end +if nargin<3, m=1;end +if nargin<2|isempty(p), p=1/length(x)*ones(size(x)); end; + +[mx,nx]=size(x);[mp,np]=size(p); +sx=min(mx,nx);sp=min(mp,np); +if (mx~=mp)|(nx~=np), + error('size must agree'); +end; +if (sx~=1)&(sx~=1),error('should be vector'); end; +x=x(:); +if any(x~=sort(x)), error('x should be acsend'); end; +if any((p<0)|(p>1)),error('p should be between 0 and 1'); end; +if abs(sum(p)-1)>1e-3,error('sum of p should be 1'); end; + +r=zeros(m,n);lx=max(mx,nx); +s=rand(m,n); +cp=cumsum(p); +k=find(s=cp(lx-1));r(k)=x(lx); +for i=2:(lx-1), + k=find((s>=cp(i-1))&(soutval*ones(n,1)*sigma); +if m>1, + data(any(outliers'),:)=[]; +else + data(find(outliers'),:)=[]; +end + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220.txt" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220.txt" index a76cfdb57e59bb2de46a4c357548f684ea1310f2..edea1177a4eb80dd6ca32922bc63a2aa9d09f903 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220.txt" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\225\260\345\255\246\345\273\272\346\250\241MATLAB\345\277\205\345\244\207\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\347\250\213\345\272\217\346\272\220\344\273\243\347\240\201/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220/\351\232\217\346\234\272\346\250\241\346\213\237\345\222\214\347\273\237\350\256\241\345\210\206\346\236\220.txt" @@ -1,3 +1,17 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:8611fd9722ae534e5a51e964ccbe5fb746a51ee9a2c7846be6499fdaec9e14dc -size 426 +%随机模拟和统计分析 +% max,min - 最大,最小值 +% sum - 求和 +% mean - 均值 +% std - 标准差 +% sort - 排序(升序) +% sortrows - 按某一列排序(升序) +% rand - [0,1]区间均匀分布随机数 +% randn - 标准正态分布随机数 +% randperm - 1...n 随机排列 +% regress - 线性回归 +% classify - 统计聚类 +% *trim - 坏数据祛除 +% *specrnd - 给定分布律随机数生成 +% *randrow - 整行随机排列 +% *randmix - 随机置换 +% *chi2test - 分布拟合度卡方检验 \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\344\273\243\347\240\201\347\233\256\345\275\225.docx" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\344\273\243\347\240\201\347\233\256\345\275\225.docx" index c76891b6a836f693d6f188af39d38b7f2265cc50..f68e485e1e6fc2442293aab6470339a90c4e41b9 100644 Binary files "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\344\273\243\347\240\201\347\233\256\345\275\225.docx" and "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\344\273\243\347\240\201\347\233\256\345\275\225.docx" differ diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\223\345\274\200\351\241\273\347\237\245.txt" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\223\345\274\200\351\241\273\347\237\245.txt" index 5f86c79ecf8a8d58369b7c4c335ba9ca438c3502..32994e6f5523e35c49b4541fcf4d9489020cf214 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\223\345\274\200\351\241\273\347\237\245.txt" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\223\345\274\200\351\241\273\347\237\245.txt" @@ -1,3 +1,5 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:a96a0edfdbd8d3eb8bfe91f8324a51c68ab515668f7334a9a5b22b62d5509793 -size 180 +P12-2和P14-2的代码中,原始的是运行不起来的,需要单独安装工具箱。 +我把下载后的工具箱放在里面了,还有安装步骤,这个你可以作为重点 +在淘宝店铺展示一下, + +扩展程序整理自第二版的代码 \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/Kmeans/Kmeans results.fig" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/Kmeans/Kmeans results.fig" index affe5d2aedca47dfbd38e0384acc10ca5d70af90..c21a866957ea0a82a5293c7e3ed32baba4c592d1 100644 Binary files "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/Kmeans/Kmeans results.fig" and "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/Kmeans/Kmeans results.fig" differ diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/Kmeans/kmeans.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/Kmeans/kmeans.m" index 2fe4abcf98cb6006c15618fcc96b25ed245e84ae..5afbb254ba12980d07337988927e0ad0b7a1472c 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/Kmeans/kmeans.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/Kmeans/kmeans.m" @@ -1,3 +1,54 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:58ec20371bd0841a9e37c3c5eb6ce467e65ec6d5880538420287c3ca785fd6a9 -size 1533 +% K-means 算法MATLAB实现 +%-------------------------------------------------------------------------- +%% 数据准备和初始化 +clc +clear +x=[0 0;1 0; 0 1; 1 1;2 1;1 2; 2 2;3 2; 6 6; 7 6; 8 6; 6 7; 7 7; 8 7; 9 7 ; 7 8; 8 8; 9 8; 8 9 ; 9 9]; +z=zeros(2,2); +z1=zeros(2,2); +z=x(1:2, 1:2); +%% 寻找聚类中心 +while 1 + count=zeros(2,1); + allsum=zeros(2,2); + for i=1:20 % 对每一个样本i,计算到2个聚类中心的距离 + temp1=sqrt((z(1,1)-x(i,1)).^2+(z(1,2)-x(i,2)).^2); + temp2=sqrt((z(2,1)-x(i,1)).^2+(z(2,2)-x(i,2)).^2); + if(temp1=T + Com_num=K; + break; + end +end + +% Get the eigenvectors of the Com_num principal components +for j=1:Com_num + PV(:,j)=V(:,b+1-j); +end + +% Calculate the new socres of the orginal items +new_score=SA*PV; + +for i=1:a + total_score(i,2)=sum(new_score(i,:)); + total_score(i,1)=i; +end +new_score_s=sortrows(total_score,-2); + +% Displays result reports +disp('特征值及贡献率:') +DS +disp('阀值T对应的主成分数与特征向量:') +Com_num +PV +disp('主成分分数:') +new_score +disp('主成分分数排序:') +new_score_s + + + + + + + + + + + + + + + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246-cumcm2011B.doc" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246-cumcm2011B.doc" index e115df8a3c9b7e98e7e294558fa38798a49a4169..695f89837d11d7a2ed32d57ffe93988eec1b554f 100644 Binary files "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246-cumcm2011B.doc" and "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246-cumcm2011B.doc" differ diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/ch15_p3_q1.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/ch15_p3_q1.m" index c7831a1441572864c608f132ef3b9eb329698cb5..462c6a081713398c20bff3b1b7faaecb32f1fa5c 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/ch15_p3_q1.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/ch15_p3_q1.m" @@ -1,3 +1,108 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f5f8b6dda66a63bf3a4fb7e7cb591de322b692e7f54173a84b07fc8f89ffea00 -size 2838 +%% 最短路径的求解,以及现有的交巡警服务平台设置方案的合理性的判断 +clc; clear all; close all +%% 数据准备 +% 全市交通网络中路口节点节点坐标 +A=xlsread('2011B_Table.xls', '全市交通路口节点数据','A2:C583'); +% 全市交通路线 +B=xlsread('2011B_Table.xls', '全市交通路口的路线','A2:B929'); +% 每个路口发案率(次数) +owl=xlsread('2011B_Table.xls', '全市交通路口节点数据','E2:E93'); +%% 计算最短距离矩阵 +arn=size(A,1) +brn=size(B,1); +% 构建距离矩阵 +D=ones(arn); +D(:)=inf; +for i=1:arn + D(i,i)=0; +end +for i=1:brn + m=B(i,1); % 起点标号 + n=B(i,2); % 终点标号 + d=sqrt((A(m,2)-A(n,2))^2+(A(m,3)-A(n,3))^2); + D(m,n)=d; + D(n,m)=d; +end +[dmin,path]=floyd(D); + +%% 确定最佳新增警台数 +alt_sta=21:92; +ppsl=1:20; +min_n=ones(1,5)*6; +%% 启用双核加速计算(多核计算机才可以采用) +if matlabpool('size') == 0 + matlabpool open 2 +end +%% 计算各新增警台数与对应的不满足3分钟出警的路口数 + apsn=4; + com_pat=nchoosek(alt_sta,apsn); + com_num=size(com_pat, 1); + avn=0; + bfair_f=inf; + for k1=1:com_num + npsl=[ppsl, com_pat(k1,:)]; % 更新警台设置方案 + % 计算还有多少路口不满足3分钟出警 + SR=zeros(92,4); + for i=1:92 + i; + SR(i,1)=i; + SR(i,2)=0; + SR(i,3)=inf; + SR(i,4)=0; + for j=1:(20+apsn) + if SR(i,3)>dmin(i,npsl(j)) + SR(i,3)=dmin(i,npsl(j)); + SR(i,2)=npsl(j); + end + end + if SR(i,3)*100>3000 + SR(i,4)=1; + end + end + tun_num=sum(SR(:,4)); + + if tun_num==0 + avn=avn+1; + workload=zeros(1, 24); + for j=1:24 + for u=1:92 + if SR(u,2)==npsl(1,j) + workload(1,j)=workload(1,j)+owl(u,1); + end + end + end + fair_f=var(workload,1); + fair_r(avn,:)=[avn, fair_f, com_pat(k1,:)]; + + if fair_f 0 + matlabpool close +end +%% 显示结果 +abpn=0; +for i=1:avn + if fair_r(i,2)==bfair_f + abpn=abpn+1; + abps(abpn,:)=[abpn, fair_r(i,2:end)]; + end +end +disp(['所有可行方案数' num2str(avn)]); +disp(['最佳方案数' num2str(abpn)]); +disp('所有最佳方案:') +abps +disp('最佳方案对应的工作均衡度:') +bfair_f +plot(fair_r(:,1),fair_r(:,2),'-ko', 'LineWidth', 2); +set(gca,'linewidth',2) ; +xlabel('可行方案编号'); ylabel('工作均衡度'); +title('各可行方案的工作均衡度','fontsize',12); + + + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/floyd.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/floyd.m" index 579568991cc50497df798733ac3657d473adef23..76b10f31b6e31ae2c92f1b1e423c65eaabb619b9 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/floyd.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/floyd.m" @@ -1,3 +1,26 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:afddd01586bc32bbe18d4ef855449d1504ccca52374c80b31bc00bec39afa244 -size 563 +% floyd算法的函数文件 +function [d,path]=floyd(a) +% floyd - 最短路问题 +% a - 距离矩阵是指i到j之间的距离可以是有向的 +% d - 最短路的距离 +% path - 最短路的路径 +[n,lie]=size(a); % n为a的行数 +d=a; +path=zeros(n,n); +for i=1:n + for j=1:n + if d(i,j)~=inf + path(i,j)=j; %j是i的后续点 + end + end +end +for k=1:n + for i=1:n + for j=1:n + if d(i,j)>d(i,k)+d(k,j) + d(i,j)=d(i,k)+d(k,j); + path(i,j)=path(i,k); + end + end + end +end diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/results.fig" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/results.fig" index ac813fbef93b3d9a4a6b2d9fa737c230b539c157..750c325a73aa135597f7b1266c9614511bbe17a8 100644 Binary files "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/results.fig" and "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/results.fig" differ diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/results.txt" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/results.txt" index 9ea9ac1d1a8ae22147aa47fdb13da791fad8ab31..06a2e9e9542e147ca643255f2af024535801442d 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/results.txt" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/results.txt" @@ -1,3 +1,34 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:1f6542a9eb1c1cb8803fdf773096e0fd9f807d2c3ca379a7e5ca0f6ed05be797 -size 1254 +arn = + + 582 + +Starting matlabpool using the 'local' profile ... connected to 2 workers. +Sending a stop signal to all the workers ... stopped. +所有可行方案数72 +最佳方案数16 +所有最佳方案: + +abps = + + 1.0000 5.3844 28.0000 39.0000 48.0000 87.0000 + 2.0000 5.3844 28.0000 39.0000 48.0000 88.0000 + 3.0000 5.3844 28.0000 39.0000 48.0000 89.0000 + 4.0000 5.3844 28.0000 39.0000 48.0000 91.0000 + 5.0000 5.3844 28.0000 40.0000 48.0000 87.0000 + 6.0000 5.3844 28.0000 40.0000 48.0000 88.0000 + 7.0000 5.3844 28.0000 40.0000 48.0000 89.0000 + 8.0000 5.3844 28.0000 40.0000 48.0000 91.0000 + 9.0000 5.3844 29.0000 39.0000 48.0000 87.0000 + 10.0000 5.3844 29.0000 39.0000 48.0000 88.0000 + 11.0000 5.3844 29.0000 39.0000 48.0000 89.0000 + 12.0000 5.3844 29.0000 39.0000 48.0000 91.0000 + 13.0000 5.3844 29.0000 40.0000 48.0000 87.0000 + 14.0000 5.3844 29.0000 40.0000 48.0000 88.0000 + 15.0000 5.3844 29.0000 40.0000 48.0000 89.0000 + 16.0000 5.3844 29.0000 40.0000 48.0000 91.0000 + +最佳方案对应的工作均衡度: + +bfair_f = + + 5.3844 \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/\350\257\264\346\230\216.txt" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/\350\257\264\346\230\216.txt" index b03c24407bac2b5bf704180c4ba535742474e6a1..bf0b3bf16a5d0a77dcbee5ee9eccd0bcd06b3ad2 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/\350\257\264\346\230\216.txt" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\344\272\244\345\267\241\350\255\246\346\234\215\345\212\241\345\271\263\345\217\260\347\232\204\350\256\276\347\275\256\344\270\216\350\260\203\345\272\246\357\274\210CUMCM2011B\357\274\211/\347\250\213\345\272\217/\350\257\264\346\230\216.txt" @@ -1,3 +1,2 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:19074a8c5ab758ebdd1c63839912f9db28e87426430abd5a900bf67a4156af99 -size 207 +1) 该程序需要执行5-10分钟,具体主要取决于电脑配置; +2) 本程序中使用了并行计算计算,适合于MATLAB2013a, 如果在其他版本执行出错,可以注销相应的程序即可,因为不同版本的MATLAB, 启动并行计算程序的命令可能不同。 \ No newline at end of file diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/2012A\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267.doc" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/2012A\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267.doc" index cdd374f2c3c1bb1b8c04662e481db54d99380416..0fa218eef8b4f1ba02b3ecb32697b45fe35daa2a 100644 Binary files "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/2012A\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267.doc" and "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/2012A\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267.doc" differ diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/1\350\221\241\350\220\204\351\205\222\345\271\263\345\235\207\346\230\276\350\221\227\346\200\247T\346\243\200\351\252\214\345\200\274/ch16_p1_Tmethod.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/1\350\221\241\350\220\204\351\205\222\345\271\263\345\235\207\346\230\276\350\221\227\346\200\247T\346\243\200\351\252\214\345\200\274/ch16_p1_Tmethod.m" index da5c8f57ed1feaf6e46e0482fff2a3c66eee9cd2..ec7d4d940fb9112e87ee539ace4390627bae2486 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/1\350\221\241\350\220\204\351\205\222\345\271\263\345\235\207\346\230\276\350\221\227\346\200\247T\346\243\200\351\252\214\345\200\274/ch16_p1_Tmethod.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/1\350\221\241\350\220\204\351\205\222\345\271\263\345\235\207\346\230\276\350\221\227\346\200\247T\346\243\200\351\252\214\345\200\274/ch16_p1_Tmethod.m" @@ -1,3 +1,95 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:2b4add7b68c69285bf363a9a204c21d07dbc091f35c0275b9cb69fde9879fb36 -size 2299 +%% 2012A_question1_T evaluation +% 程序15-1 +%-------------------------------------------------------------------------- +%% 数据准备 +% 清空环境变量 +clear all +clc + +%导入数据 +X1=xlsread('2012A_T1_processed.xls', 'T1_red_grape', 'D3:M272'); +X2=xlsread('2012A_T1_processed.xls', 'T2_red_grape', 'D3:M272'); +X3=xlsread('2012A_T1_processed.xls', 'T1_white_grape', 'D3:M282'); +X4=xlsread('2012A_T1_processed.xls', 'T2_white_grape', 'D3:M282'); + +%% 红葡萄酒T检验计算过程 +[m1,n1]=size(X1); +K1=27; +% 计算每个样品的总得分 +for i=1:K1 + for j=1:n1 + SX1(i,j)=sum(X1(10*i-9:10*i,j)); + SX2(i,j)=sum(X2(10*i-9:10*i,j)); + end +end +% 计算每组样品得分的均值 +for i=1:K1 + Mean1(i)=mean(SX1(i,:)); + Mean2(i)=mean(SX2(i,:)); +end +% 计算检验值 +for i=1:K1 + S1(1,i)=(sum((SX1(i,:)-Mean1(i)).^2)+sum((SX2(i,:)-Mean2(i)).^2))/(n1*(n1-1)); + T1(1,i)=(Mean1(i)-Mean2(i))/(sqrt(S1(1,i))); +end +AT_R=abs(T1); +M_AT_R=mean(AT_R); +%% 白葡萄酒T检验计算过程 +[m2,n2]=size(X3); +K2=28; +% 计算每个样品的总得分 +for i=1:K2 + for j=1:n2 + SX3(i,j)=sum(X3(10*i-9:10*i,j)); + SX4(i,j)=sum(X4(10*i-9:10*i,j)); + end +end +% 计算每组样品得分的均值 +for i=1:K2 + Mean3(i)=mean(SX3(i,:)); + Mean4(i)=mean(SX4(i,:)); +end +% 计算检验值 +for i=1:K2 + S2(1,i)=(sum((SX3(i,:)-Mean3(i)).^2)+sum((SX4(i,:)-Mean4(i)).^2))/(n2*(n2-1)); + T2(1,i)=(Mean3(i)-Mean4(i))/(sqrt(S2(1,i))); +end +AT_W=abs(T2); +M_AT_W=mean(AT_W); +%% 结果显示与比较 +a=2.102; % T(0.05,2,18)=2.101 +b=2.878; % T(0.01,2,18)=2.878 +set(gca,'linewidth',2) +% 红酒结果 +for i=1:K1 + Ta1(i)=a; + Tb1(i)=b; +end +t1=1:K1; +subplot(2,1,1); +plot(t1,AT_R,'*k-',t1,Ta1,'r-',t1,Tb1,'-.b', 'LineWidth', 2) +title('红酒显著性检验结果','fontsize',14) +legend('T检验值', 'T(0.05)值', 'T(0.01)值') +xlabel('样品号'), ylabel('T检验值') + +% 白酒结果 +for i=1:K2 + Ta2(i)=a; + Tb2(i)=b; +end +t2=1:K2; +subplot(2,1,2); +plot(t2,AT_W,'*k-',t2,Ta2,'r-',t2,Tb2,'-.b', 'LineWidth', 2) +title('白酒显著性检验结果','fontsize',14) +legend('T检验值', 'T(0.05)值', 'T(0.01)值') +xlabel('样品号'), ylabel('T检验值') +% 显示平均检验结果 +disp(['两组品酒师对红酒的平均显著性T检验值:' num2str(M_AT_R)]); +disp(['两组品酒师对白酒的平均显著性T检验值:' num2str(M_AT_W)]); + + + + + + + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/1\350\221\241\350\220\204\351\205\222\345\271\263\345\235\207\346\230\276\350\221\227\346\200\247T\346\243\200\351\252\214\345\200\274/results.fig" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/1\350\221\241\350\220\204\351\205\222\345\271\263\345\235\207\346\230\276\350\221\227\346\200\247T\346\243\200\351\252\214\345\200\274/results.fig" index 0cf755def3ef38e08daa494c2b1282ce50430f0b..76f79b3e3ff03a495c0079c6e02c6c67f9b8ed5c 100644 Binary files "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/1\350\221\241\350\220\204\351\205\222\345\271\263\345\235\207\346\230\276\350\221\227\346\200\247T\346\243\200\351\252\214\345\200\274/results.fig" and "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/1\350\221\241\350\220\204\351\205\222\345\271\263\345\235\207\346\230\276\350\221\227\346\200\247T\346\243\200\351\252\214\345\200\274/results.fig" differ diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/2\350\221\241\350\220\204\351\205\222\346\200\273\346\226\271\345\267\256/ch16_P2.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/2\350\221\241\350\220\204\351\205\222\346\200\273\346\226\271\345\267\256/ch16_P2.m" index 533415d3f3d51bf58009da16b9e7742e5d5950bd..74cb7c22aef8af951dc896f8f018e3cebbbf3b25 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/2\350\221\241\350\220\204\351\205\222\346\200\273\346\226\271\345\267\256/ch16_P2.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/2\350\221\241\350\220\204\351\205\222\346\200\273\346\226\271\345\267\256/ch16_P2.m" @@ -1,3 +1,56 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:659261fa55f7023e61f4a0fa6cbf505b9013bdd749e7e3555577ffc065770043 -size 1320 +%% 2012A_question1_T evaluation +% 程序16-2 +%-------------------------------------------------------------------------- +%% 数据准备 +% 清空环境变量 +clear all +clc + +%导入数据(白葡萄酒) +% X1=xlsread('2012A_T1_processed.xls', 'T1_white_grape', 'D3:M282'); +% X2=xlsread('2012A_T1_processed.xls', 'T2_white_grape', 'D3:M282'); +%导入数据(红葡萄酒) +X1=xlsread('2012A_T1_processed.xls', 'T1_red_grape', 'D3:M272'); +X2=xlsread('2012A_T1_processed.xls', 'T2_red_grape', 'D3:M272'); + +%% 计算每组品酒师对每个样品的方差 +[m,n]=size(X1); +K=27; +% K=28 白葡萄酒 +% 计算每个样品的总得分 +for i=1:K + for j=1:n + SX1(i,j)=sum(X1(10*i-9:10*i,j)); + SX2(i,j)=sum(X2(10*i-9:10*i,j)); + end + u0(i)=mean([SX1(i,:), SX2(i,:)]); +end +% 计算方差 +for i=1:K + SD1(i,:)=(SX1(i,:)-u0(i)).*(SX1(i,:)-u0(i)); + SD2(i,:)=(SX2(i,:)-u0(i)).*(SX2(i,:)-u0(i)); +end + +%% 结果显示与比较 +for i=1:K + TSD(1,i)=sum(SD1(i,:)); + TSD(2,i)=sum(SD2(i,:)); +end +t=1:K; +plot(t,TSD(1,:),'*k-',t,TSD(2,:),'ok--', 'LineWidth', 2) +set(gca,'linewidth',2); +legend('一组方差','二组方差') +xlabel('红葡萄酒样品编号'); ylabel('红葡萄酒评价方差'); +TSD1=sum(TSD(1,:)); +TSD2=sum(TSD(2,:)); +disp(['一组对白葡萄酒总方差:' num2str(TSD1)]); +disp(['二组对白葡萄酒总方差:' num2str(TSD2)]); + + + + + + + + + diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/2\350\221\241\350\220\204\351\205\222\346\200\273\346\226\271\345\267\256/results.fig" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/2\350\221\241\350\220\204\351\205\222\346\200\273\346\226\271\345\267\256/results.fig" index 9145077d904e4a7186a74ae85477a2dd4bc7f601..6dccc6ef2a4ea4ad649a8a4baefa07e4a57ebbf1 100644 Binary files "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/2\350\221\241\350\220\204\351\205\222\346\200\273\346\226\271\345\267\256/results.fig" and "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/2\350\221\241\350\220\204\351\205\222\346\200\273\346\226\271\345\267\256/results.fig" differ diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/3\350\201\232\347\261\273\346\263\225\347\241\256\345\256\232\350\221\241\350\220\204\351\205\222\345\210\206\347\272\247/ch16_p3.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/3\350\201\232\347\261\273\346\263\225\347\241\256\345\256\232\350\221\241\350\220\204\351\205\222\345\210\206\347\272\247/ch16_p3.m" index 6d0a0e4110bed1c7eb74b906ae745f58cce8bc79..bedd9a052815beda2ea456eb3ef08f74f4705931 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/3\350\201\232\347\261\273\346\263\225\347\241\256\345\256\232\350\221\241\350\220\204\351\205\222\345\210\206\347\272\247/ch16_p3.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/3\350\201\232\347\261\273\346\263\225\347\241\256\345\256\232\350\221\241\350\220\204\351\205\222\345\210\206\347\272\247/ch16_p3.m" @@ -1,3 +1,94 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5816f9d70834926e45eef7cbdc73e74a30068764ba4f9f6b4314324cf2e02910 -size 2760 +%% 用聚类法确定葡萄酒分级 +clc, clear all, close all +%% 需要聚类的数据 +% 红葡萄酒质量评分数据 +A=[79.95 75 80.45 78.15 76.25 71.95 75.85 71.85 76.65 77.05... + 71.85 67.84 69.9 74.55 75.4 70.65 79.55 74.9 74.3 77.2... + 77.8 75.2 76.65 74.7 78.3 77.8 70.9 80.45]; +% 白葡萄酒质量评分数据 +% A=[79.95 75 80.45 78.15 76.25 71.95 75.85 71.85 76.65 77.05... +% 71.85 67.85 69.9 74.55 75.4 70.65 79.55 74.9 74.3 77.2... +% 77.8 75.2 76.65 74.7 78.3 77.8 70.9] +%% 用k-Means聚类法确定最佳的聚类数 +X=A'; +numC=7; +for i=1:numC + kidx = kmeans(X,i); + silh = silhouette(X,kidx); %计算轮廓值 + silh_m(i) = mean(silh); %计算平均轮廓值 +end + +figure +plot(1:numC,silh_m,'ko-', 'linewidth',2) +set(gca,'linewidth',2); +xlabel('类别数') +ylabel('平均轮廓值') +title(' 不同类别对应的平均轮廓值') + +% 绘制2至5类时的轮廓值分布图 + figure + set(gca,'linewidth',2); +for i=2:5 + kidx = kmeans(X,i); + subplot(2,2,i-1); + [~,h] = silhouette(X,kidx); + set(gca,'linewidth',2); + title([num2str(i), '类时的轮廓值 ' ]) + snapnow + xlabel('轮廓值'); + ylabel('类别数'); +end + +%% K-means聚类过程,并将结果显示出来 +[idx,ctr]=kmeans(A',4); % 用K-means法聚类 +% 提取同一类别的样品号 +c1=find(idx==1); c2=find(idx==2); +c3=find(idx==3); c4=find(idx==4); +figure +F1 = plot(find(idx==1), A(idx==1),'k:*', ... + find(idx==2), A(idx==2),'k:o', ... + find(idx==3), A(idx==3),'k:p', ... + find(idx==4), A(idx==4),'k:d'); +set(gca,'linewidth',2); +set(F1,'linewidth',2, 'MarkerSize',8); +xlabel('编号','fontsize',12); +ylabel('得分','fontsize',12); +title('Kmeans方法聚类结果') +disp('聚类结果:'); +disp(['第1类:' ,'中心点:',num2str(ctr(1)),' ','该类样品编号:', num2str(c1')]); +disp(['第2类:' ,'中心点:',num2str(ctr(2)),' ','该类样品编号:', num2str(c2')]); +disp(['第3类:' ,'中心点:',num2str(ctr(3)),' ','该类样品编号:', num2str(c3')]); +disp(['第4类:' ,'中心点:',num2str(ctr(4)),' ','该类样品编号:', num2str(c4')]); + +%% 层次聚类 +X=A'; +Y=pdist(X); %计算样品间的欧式距离 +Z=linkage(Y, 'average'); % 利用类平均法创建系统聚类树 +cn=size(X); +clabel=1:cn; +clabel=clabel'; +figure +F2 = dendrogram(Z); % 绘制聚类树形图 +set(gca,'linewidth',2); +title('层次聚类法聚类结果') +set(F2,'linewidth',2); +ylabel('标准距离'); +%% Fuzzy C-means聚类 +X=A'; +[center,U] = fcm(X,4); +Cid1 = find(U(1,:) ==max(U)); +Cid2 = find(U(2,:) ==max(U)); +Cid3 = find(U(3,:) ==max(U)); +Cid4 = find(U(4,:) ==max(U)); +figure +F3=plot(Cid1, A(Cid1),'k:*', ... + Cid2, A(Cid2),'k:o', ... + Cid3, A(Cid3),'k:p', ... + Cid4, A(Cid4),'k:d'); + +set(gca,'linewidth',2); +set(F3,'linewidth',2, 'MarkerSize',8); +xlabel('编号'); +ylabel('得分'); +title('Fuzzy C-means方法聚类结果') +%% 2012年全国赛A题第二问求解示例程序 diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/3\350\201\232\347\261\273\346\263\225\347\241\256\345\256\232\350\221\241\350\220\204\351\205\222\345\210\206\347\272\247/result1.fig" 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"a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/3\350\201\232\347\261\273\346\263\225\347\241\256\345\256\232\350\221\241\350\220\204\351\205\222\345\210\206\347\272\247/result4.fig" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/3\350\201\232\347\261\273\346\263\225\347\241\256\345\256\232\350\221\241\350\220\204\351\205\222\345\210\206\347\272\247/result4.fig" index 1680fbf6bbec29b962c34bc2a15497c24ffd5fee..eb72eca9150b4a791fe047db30f67981ec439c67 100644 Binary files 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"a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/3\350\201\232\347\261\273\346\263\225\347\241\256\345\256\232\350\221\241\350\220\204\351\205\222\345\210\206\347\272\247/result5.fig" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/3\350\201\232\347\261\273\346\263\225\347\241\256\345\256\232\350\221\241\350\220\204\351\205\222\345\210\206\347\272\247/result5.fig" index 7a0308336e9f764115757d85f35cfe42c33576ac..49dcf014be4b77dff2c7aeb1590a1290ed1bf12a 100644 Binary files "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/3\350\201\232\347\261\273\346\263\225\347\241\256\345\256\232\350\221\241\350\220\204\351\205\222\345\210\206\347\272\247/result5.fig" and "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/3\350\201\232\347\261\273\346\263\225\347\241\256\345\256\232\350\221\241\350\220\204\351\205\222\345\210\206\347\272\247/result5.fig" differ diff --git "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/4-PCA-kmeans\346\226\271\346\263\225\345\256\236\347\216\260\345\257\271\350\221\241\350\220\204\347\232\204\347\220\206\345\214\226\346\214\207\346\240\207\350\277\233\350\241\214\350\201\232\347\261\273/ch16_P4.m" "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/4-PCA-kmeans\346\226\271\346\263\225\345\256\236\347\216\260\345\257\271\350\221\241\350\220\204\347\232\204\347\220\206\345\214\226\346\214\207\346\240\207\350\277\233\350\241\214\350\201\232\347\261\273/ch16_P4.m" index 229c3de4d2cd698b7d0981b8821291ec818b09e9..b648a5f8645e8d1a39295cf721c83445f45f49f6 100644 --- "a/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/4-PCA-kmeans\346\226\271\346\263\225\345\256\236\347\216\260\345\257\271\350\221\241\350\220\204\347\232\204\347\220\206\345\214\226\346\214\207\346\240\207\350\277\233\350\241\214\350\201\232\347\261\273/ch16_P4.m" +++ "b/matlab\346\225\260\345\255\246\345\273\272\346\250\241\347\256\227\346\263\225/\346\272\220\347\250\213\345\272\217_Maltab\345\234\250\346\225\260\345\255\246\345\273\272\346\250\241\344\270\255\347\232\204\345\272\224\347\224\250\357\274\210\350\257\246\347\273\206\346\263\250\351\207\212\357\274\211/\346\211\251\345\261\225\347\250\213\345\272\217/\347\234\237\351\242\230--\350\221\241\350\220\204\351\205\222\347\232\204\350\257\204\344\273\267\357\274\210CUMCM2012A\357\274\211/\344\273\243\347\240\201/4-PCA-kmeans\346\226\271\346\263\225\345\256\236\347\216\260\345\257\271\350\221\241\350\220\204\347\232\204\347\220\206\345\214\226\346\214\207\346\240\207\350\277\233\350\241\214\350\201\232\347\261\273/ch16_P4.m" @@ -1,3 +1,69 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:1b711efde3c0a537f8da674f5c474e6c4600e39f274b7a57c230c29e89db5eac -size 2187 +%% PCA-kmeans方法实现对葡萄的理化指标进行聚类 +%-------------------------------------------------------------------------- +%% 数据导入及处理 +clc, clear all, close all +% A=xlsread('2012A_Table2.xls','葡萄酒指标汇总', 'C3:J29');% 红葡萄酒 +A=xlsread('2012A_Table2.xls','葡萄酒指标汇总', 'C33:J60');% 白葡萄酒 + +% 数据标准化处理 +a=size(A,1); +b=size(A,2); +for i=1:b + SA(:,i)=(A(:,i)-mean(A(:,i)))/std(A(:,i)); +end + +%% 计算相关系数矩阵的特征值和特征向量 +CM=corrcoef(SA); % 计算相关系数矩阵(correlation matrix) +[V, D]=eig(CM); % 计算特征值和特征向量 + +for j=1:b + DS(j,1)=D(b+1-j, b+1-j); % 对特征值按降序进行排序 +end +for i=1:b + DS(i,2)=DS(i,1)/sum(DS(:,1)); %贡献率 + DS(i,3)=sum(DS(1:i,1))/sum(DS(:,1)); %累积贡献率 +end + +%% 选择主成分及对应的特征向量 +T=0.8; % 主成分信息保留率. +for K=1:b + if DS(K,3)>=T + Com_num=K; + break; + end +end + +% 提取主成分对应的特征向量 +for j=1:Com_num + PV(:,j)=V(:,b+1-j); +end + +%% 计算各评价对象的主成分得分 +new_score=SA*PV; +for i=1:a + total_score(i,1)=sum(new_score(i,:)); + total_score(i,2)=i; +end +result_report=[new_score, total_score]; % 将各主成分得分与总分放在同一个矩阵中 +result_report=sortrows(result_report,(K+2)); % 按总分降序排序 + +%% Kmeans聚类及结果报告 +A=result_report(:,(K+1)); +[idx,ctr]=kmeans(A,4); +[m,n]=size(A); +t1=ones(1,n)*30; +c1=find(idx==1); c2=find(idx==2); c3=find(idx==3); c4=find(idx==4); +h=plot(t1,A,'ko',c1,A(idx==1),'k--*', c2,A(idx==2),'k--s', c3,A(idx==3),'k--d', c4,A(idx==4),'k--p'); +xlabel('白葡萄酒样品编号','fontsize',12); +ylabel('主成分得分','fontsize',12); +title('白葡萄酒理化指标聚类图','fontsize',12) +set(h, 'MarkerSize',8, 'MarkerFaceColor','k'); +set(gca,'linewidth',2) ; + +disp('主成分得分(最后1列为样本编号,倒数第2列为总分,前面为各主成分得分)') +result_report +disp('分类结果:'); +disp(['第1类:' ,'中心点:',num2str(ctr(1)),' ','该类样品编号:', num2str(c1')]); +disp(['第2类:' ,'中心点:',num2str(ctr(2)),' ','该类样品编号:', num2str(c2')]); +disp(['第3类:' ,'中心点:',num2str(ctr(3)),' ','该类样品编号:', num2str(c3')]); +disp(['第4类:' ,'中心点:',num2str(ctr(4)),' ','该类样品编号:', num2str(c4')]);