Upload original Matlab程序设计 course files (part 6)

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/扩展程序/经典灰色模型GM（1,1）/greym_1_1_gls.m

@@ -1,3 +1,74 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7d863b09ee38f245169ad3080ac561f378010b6a26bc214210bef8cfd7b48550
-size 2055
+% �ڳ���������ص㶼�������꾡��ע��
+clc;
+clear all;
+
+% �������ݱ��������и������ƽ�������Ʒ���ͻ��ڹ���ij�����Ʋ�Ʒ��ʱ��
+% һ�����10��ġ���ԥ�ڡ�������10�������������
+% ���Ƿ����ͻ�������Ϊ���ݷ��֣��ڵ��죨���ҳ�֮Ϊ��0�죩����֮��
+% �ڵ�1��û�з������򣨱��������ı��ʴ����92.81%���ڵ�2��û������ı��ʴ����97.66%
+% �Դ�����
+% ����ȡǰ8������ݣ�
+x0 = [92.810 	97.660 	98.800 	99.281 	99.537 	99.537 	99.817 	100.000];
+
+n = length(x0);
+% �������жϣ������Ƿ��ʺ���GM(1��1)��ģ
+lamda = x0(1:n-1)./x0(2:n);
+range = minmax(lamda);
+% �ж��Ƿ��ʺ���һ�׻�ɫģ�ͽ�ģ
+if range(1,1) < exp(-(2/(n+2))) | range(1,2) > exp(2/(n+2))
+    error('����û�������ɫģ�͵ķ�Χ��');
+else
+   % �������
+    disp('              ');
+    disp('����G(1��1)��ģ');
+end
+
+% ��AGO�ۼӴ���
+x1 = cumsum(x0);
+for i = 2:n
+    % ������ھ�ֵ��Ҳ���ǰ׻�����ֵ
+    z(i) = 0.5*(x1(i)+x1(i-1));
+end
+B = [-z(2:n)',ones(n-1,1)];
+Y = x0(2:n)';
+
+% ����С���˷����㷢չϵ���ͻ�ɫ������
+u = inv(B'*B)*B'*Y;
+% ����GM(1��1)�������ʽ����ԭʼ���е�AGO
+forecast1 = (x1(1)-u(2)./u(1)).*exp(-u(1).*([0:n-1]))+u(2)./u(1) ;
+
+% ��AGO���ֵ�����ۼ�
+% diff���ڶԷ��ű���ʽ������
+% �����������������������ʾ����ԭ��������Ԫ�صIJ�
+forecast11 = double(forecast1);
+exchange = diff(forecast11);
+% �����ɫģ��Ԥ���ֵ
+forecast = [x0(1),exchange]
+% ����в�
+epsilon = x0 - forecast;
+% ����������
+delta = abs(epsilon./x0);
+
+% ����ģ�͵����
+% ���鷽��һ��������Q���鷨
+Q = mean(delta)
+% ���鷽�����������C���鷨
+% �����׼���Ϊstd��x��a��
+% �������һ������aȡ0��ʾ���dz���n��1�������1����������n
+C = std(epsilon,1)/std(x0,1)
+% ���鷽������С������P���鷨
+S1 = std(x0,1);
+S1_new = S1*0.6745;
+temp_P = find(abs(epsilon-mean(epsilon)) < S1_new);
+P = length(temp_P)/n
+
+% ����ԭʼ�������ɫģ��Ԥ��ó������в�������ͼ
+plot(1:n,x0,'ro','markersize',11);
+hold on
+plot(1:n,forecast,'k-','linewidth',2.5);
+grid on;
+axis tight;
+xlabel('x');
+ylabel('y');
+title('������������ʱ�����еĹ�ϵ');
+legend('ԭʼ����','ģ������');

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第10章 真题-彩票中的数学/P10-1/calculate_probability.m

@@ -1,3 +1,48 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:27accd1c993a51262a52fd7562c4d26a118c1eff11edd12a15bae503b7755f4c
-size 1782
+function p_temp_sub = calculate_probability(m,n,type);
+%nѡmʱ������Ļ񽱸���
+% type������ǰ���IJ�Ʊ����
+% K1���ǹ̶����ʣ��������������
+
+if (type == 2)
+	% K2�͵�
+	p_temp_sub=zeros(7,1);
+	p_temp_sub(1)=1/mmmcomb(n,m);
+	p_temp_sub(2)=mmmcomb(m,m-1)./mmmcomb(n,m);
+	p_temp_sub(3)=mmmcomb(m,m-1).*mmmcomb(n-m-1,1)./mmmcomb(n,m);
+	p_temp_sub(4)=mmmcomb(m,m-2).*mmmcomb(n-m-1,1)./mmmcomb(n,m);
+	p_temp_sub(5)=mmmcomb(m,m-2).*mmmcomb(n-m-1,2)./mmmcomb(n,m);
+	p_temp_sub(6)=mmmcomb(m,m-3).*mmmcomb(n-m-1,2)./mmmcomb(n,m);
+	p_temp_sub(7)=mmmcomb(m,m-3).*mmmcomb(n-m-1,3)./mmmcomb(n,m);
+elseif (type == 3)
+	% K3�͵�
+	p_temp_sub=zeros(7,1);
+	p_temp_sub(1)=1./mmmcomb(n,m+1);
+	p_temp_sub(2)=mmmcomb(n-m-1,1)./mmmcomb(n,m+1);
+	p_temp_sub(3)=mmmcomb(m,m-1).*mmmcomb(n-m-1,1)./mmmcomb(n,m+1);
+	p_temp_sub(4)=mmmcomb(m,m-1).*mmmcomb(n-m-1,2)./mmmcomb(n,m+1);
+	p_temp_sub(5)=mmmcomb(m,m-2).*mmmcomb(n-m-1,2)./mmmcomb(n,m+1);
+	p_temp_sub(6)=mmmcomb(m,m-2).*mmmcomb(n-m-1,3)./mmmcomb(n,m+1);
+	p_temp_sub(7)=mmmcomb(m,m-3).*mmmcomb(n-m-1,3)./mmmcomb(n,m+1);
+elseif (type == 4)
+	% K4�͵�
+	p_temp_sub=zeros(7,1);
+	p_temp_sub(1)=1./mmmcomb(n,m);
+	p_temp_sub(2)=mmmcomb(m,m-1).*mmmcomb(n-m,1)./mmmcomb(n,m);
+	p_temp_sub(3)=mmmcomb(m,m-2).*mmmcomb(n-m,2)./mmmcomb(n,m);
+	p_temp_sub(4)=mmmcomb(m,m-3).*mmmcomb(n-m,3)./mmmcomb(n,m);
+	p_temp_sub(5)=mmmcomb(m,m-4).*mmmcomb(n-m,4)./mmmcomb(n,m);
+	p_temp_sub(6)=0;
+	p_temp_sub(7)=0;
+else
+	error('Error in calculate_probability!');
+end
+
+
+function combi = mmmcomb(n,m)
+%���n������ȡ��m�����������
+if (isscalar(n)) && (isscalar(m)) &&...
+		(isreal(n)) && (isreal(m)) && (n>=m) && (m>0)
+    combi=factorial(n)./factorial(m)./factorial(n-m);
+else
+    error('A mistake occurs when calculating combinations.')
+end

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第10章 真题-彩票中的数学/P10-1/cpiao.m

@@ -1,3 +1,54 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:66bd20a46bc3ced9fd9077c37ee63a6fa7b5a207377bf15659df9a828897882e
-size 1756
+function f=cpiao(rx,type,p_test,a_lb,b_ub)
+% type������ǰ���IJ�Ʊ����
+% p_test�ǵ�ǰ��������ʣ���ǰ��Ʊ���ͣ���ǰm��n��
+% a_lb,b_ub�ڱ��������ò���
+% ע�⣺�����Ŀ�꺯����ԭĿ�꺯������ -1��
+
+global v
+if (type == 1)
+	% ����K1�͵�
+	rx_last3=rx(4:6);
+	p_last3=p_test(4:6);
+	p_last3=p_last3';
+	sum_last3=p_last3*rx_last3;
+	f= ...
+	-(  p_test(1).*(1-exp(-(((1-sum_last3).*rx(1))./p_test(1)./v).^2))+...
+		p_test(2).*(1-exp(-(((1-sum_last3).*rx(2))./p_test(2)./v).^2))+...
+		p_test(3).*(1-exp(-(((1-sum_last3).*rx(3))./p_test(3)./v).^2))+...
+		p_test(4).*(1-exp(-(rx(4)./v).^2))+...
+		p_test(5).*(1-exp(-(rx(5)./v).^2))+...
+		p_test(6).*(1-exp(-(rx(6)./v).^2)) ...
+	 );
+elseif (type == 2) || (type == 3)
+	% ����K2��K3�ģ�K2��K3�ɺϲ�������������Ŀһ����
+	rx_last4=rx(4:7);
+	p_last4=p_test(4:7);
+	p_last4=p_last4';
+	sum_last4=p_last4*rx_last4;
+	f= ...
+	-(  p_test(1).*(1-exp(-(((1-sum_last4).*rx(1))./p_test(1)./v).^2))+...
+		p_test(2).*(1-exp(-(((1-sum_last4).*rx(2))./p_test(2)./v).^2))+...
+		p_test(3).*(1-exp(-(((1-sum_last4).*rx(3))./p_test(3)./v).^2))+...
+		p_test(4).*(1-exp(-(rx(4)./v).^2))+...
+		p_test(5).*(1-exp(-(rx(5)./v).^2))+...
+		p_test(6).*(1-exp(-(rx(6)./v).^2))+...
+		p_test(7).*(1-exp(-(rx(7)./v).^2)) ...
+	 );
+elseif (type == 4)
+	% K4��
+	rx_last2=rx(4:5);
+	p_last2=p_test(4:5);
+	p_last2=p_last2';
+	sum_last2=p_last2 * rx_last2;
+	f= ...
+	-(  p_test(1).*(1-exp(-(((1-sum_last2).*rx(1))./p_test(1)./v).^2))+...
+		p_test(2).*(1-exp(-(((1-sum_last2).*rx(2))./p_test(2)./v).^2))+...
+		p_test(3).*(1-exp(-(((1-sum_last2).*rx(3))./p_test(3)./v).^2))+...
+		p_test(4).*(1-exp(-(rx(4)./v).^2))+...
+		p_test(5).*(1-exp(-(rx(5)./v).^2)) ...
+	 );
+else
+	error('Error in function cpiao!')
+end
+
+    

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第10章 真题-彩票中的数学/P10-1/main.m

@@ -1,3 +1,319 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5b08ddf6f2af7fdc1b4064cd92ebed07e8cc24ac46591aaaddf4998528669782
-size 11055
+% ����˵����
+%     ���ݲο����е�ģ�ͣ�������ֱ��
+%     K1��K2��K3��K4�Ͳ�Ʊ������⣬����
+%     n��m�ĸ�����Ͻ���ѭ�������ʱ������
+%     ���㵱ǰn��m�ĸ�����񽱸��ʣ�Ȼ��
+%     ������ɶ����ʼֵ������fmincon����
+%     Ѱ��Ŀ�꺯������Сֵ��ԭĿ�꺯��Ҫ��
+%     ���󣬵�fmincon��Ѱ�Ҽ�С������ԭĿ��
+%     ��������(-1)��Ѱ����Ŀ�꺯���ļ�Сֵ����
+%     ���Ƚϸ������Ͳ�Ʊ������������
+%     ��Ӧ����ԭĿ�꺯���Ľ⡣
+% �����������m�ļ�Ϊ��
+%     main.m��������
+%     cpiao.m��Ŀ�꺯��
+%     calculate_probability.m�����������񽱸���
+%     nonlcon.m��������Լ��
+% ʹ��˵����
+%    ִ��main.m
+
+clc
+clear
+
+% Ϊ��������ֲ����ţ���Ҫ������ij�ֵ���ж�γ��ԣ�
+% �ñ���Ϊ��ÿ��m/n������������ֵ����Ŀ��Խ�����ҵ�
+% ȫ�����ŵĸ���Խ�󣬵��������е�ʱ��ҲԽ����
+% ����ݵ��������������
+nums_test_of_initial_value = 20; 
+
+global v
+v = 630589;		% ���vΪ630589������ˮƽ���
+DEBUG = 0;
+rand('state',sum(100*clock))	% ��ʼ�������������
+format long g
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% ��⿪ʼ
+% ����K1��
+p_k1 = [2e-7;8e-7;1.8e-5;2.61e-4;3.42e-3;4.1995e-2];
+% 6������6������
+Aeq=[1,1,1,0,0,0];
+beq=1;
+a_lb=[10,4,3,4,2];
+b_ub=[233,54,17,20,10];
+A= [0,0,0,-1,a_lb(4),0;
+    0,0,0,1,-b_ub(4),0;
+    0,0,0,0,-1,a_lb(5);
+    0,0,0,0,1,-b_ub(5)];
+b= [0;0;0;0];
+lb=[0.5;0;0;0;0;0];
+ub=[0.8;1;1;inf;inf;inf];
+p_test = p_k1;
+rx0_tmp = zeros(6,1);
+rx_meta_result = zeros(6,1);
+fval_meta_result = inf;
+flag_meta_result = nan; %�����ж���û�еõ������н�
+if DEBUG == 1
+    output_meta_result = [];
+end
+for j = 1:nums_test_of_initial_value
+    %������ɶ����ʼֵrx0_tmp���Ա���ֲ�����
+    rx0_tmp(1) = rand*(0.8-0.5) + 0.5;
+    rx0_tmp(2) = rand*(1-rx0_tmp(1));
+    rx0_tmp(3) = 1 - rx0_tmp(1) - rx0_tmp(2);
+    rx0_tmp(4) = rand*1000;
+    rx0_tmp(5) = rand*100;
+    rx0_tmp(6) = rand*50;
+    % Ѱ��
+    [rx_tmp,fval_tmp,flag_tmp,output_tmp]= ...
+            fmincon('cpiao',rx0_tmp,A,b,...
+                    Aeq,beq,lb,ub,'nonlcon',[],1,p_test,a_lb,b_ub);
+	% ��ʽ�������ĸ�������Ϊ�����ֲ�Ʊ������(K1/K2/K3/K4)
+	% ��������Ǻ���cpiao��nonlcon�����п���Ҫ�õ�������
+    if (flag_tmp == 1) && (fval_meta_result > fval_tmp)
+        fval_meta_result = fval_tmp;
+        rx_meta_result = rx_tmp;
+        flag_meta_result = 1;
+        if DEBUG == 1
+            output_meta_result = output_tmp;
+        end
+    end
+end
+% ����õ���ý����������
+if ~isnan(flag_meta_result)
+    rx_k1 = rx_meta_result;
+    fval_k1 = fval_meta_result;
+    flag_k1 = flag_meta_result;
+    if DEBUG == 1
+        output = output_meta_result;
+    end
+else
+    if DEBUG == 1
+        rx_k1 = rx_tmp;
+        fval_k1 = fval_tmp;
+        flag_k1 = flag_tmp;
+        output = output_tmp;
+    end
+end
+
+% ����K2��K3��K4�͵����
+% nѡm��(m+1)��n��ѡ��Χ��29��60��m��ѡ��ΧΪ5��7
+% ���� (60-29+1)*(7-5+1)=96�� ȡ����
+% �����⣬K2��K3��K4������96��ȡ����Ҳ������ά��Ϊ3
+% ��������ı���������
+p_all=zeros(7,96,3);
+rx_all = zeros(7,96,3);
+fval_all= zeros(1,96,3);
+flag_all = zeros(1,96,3);
+for m=5:7
+    for n=29:60
+        for i=1:3
+            % ����i��ֵ�ж����ڣ�K2��K3��K4������һ��
+            % (i=1��K2;i=2��K3;i=3��K4)��
+            % ������n��m���ɸ��������
+            % p_temp=eval(sprintf('comb_k%d(m,n)',i+1));
+			p_temp = calculate_probability(m,n,i+1);
+            p_all(:,(m-5).*32+(n-28),i) = p_temp;
+            % K2��K3�ɺϲ�������������Ŀһ����
+            if (i ~= 3)
+                Aeq=[1,1,1,0,0,0,0];
+                beq=1;
+                a_lb=[10,4,3,4,2,2];
+                b_ub=[233,54,17,20,10,10];
+                A=[ 0,0,0,-1,a_lb(4),0,0;
+                    0,0,0,1,-b_ub(4),0,0;
+                    0,0,0,0,-1,a_lb(5),0;
+                    0,0,0,0,1,-b_ub(5),0];
+                %����x(7)����Ϊ�㣬�ʲ��������x(6)/x(7)�������������ƣ�
+                % ���ڷ�����Լ��nonlcon�н���
+                %    0,0,0,0,0,-1,a_lb(6);
+                %    0,0,0,0,0,1,-b_ub(6)];
+                %b=[0;0;0;0;0;0];
+                b=[0;0;0;0];
+                lb=[0.5;0;0;0;0;0;0];
+                ub=[0.8;1;1;inf;inf;inf;inf];
+                p_test = p_temp;
+                %������ɶ����ʼֵrx0_tmp���Ա���ֲ�����
+                rx0_tmp = zeros(7,1);
+                rx_meta_result = zeros(7,1);
+                fval_meta_result = inf;
+                flag_meta_result = nan; %�����ж���û�еõ������н�
+                for j = 1:nums_test_of_initial_value
+                    rx0_tmp(1) = rand*(0.8-0.5) + 0.5;
+                    rx0_tmp(2) = rand*(1-rx0_tmp(1));
+                    rx0_tmp(3) = 1 - rx0_tmp(1) - rx0_tmp(2);
+                    rx0_tmp(4) = rand*1000;
+                    rx0_tmp(5) = rand*100;
+                    rx0_tmp(6) = rand*50;
+                    rx0_tmp(7) = rand*10;
+                    [rx_tmp,fval_tmp,flag_tmp]= ...
+                            fmincon('cpiao',rx0_tmp,...
+                                    A,b,Aeq,beq,lb,ub,...
+										'nonlcon',[],i+1,p_test,a_lb,b_ub);
+					% ��ʽ�������ĸ�������Ϊ�����ֲ�Ʊ������(K1/K2/K3/K4)
+					% ��������Ǻ���cpiao��nonlcon�����п���Ҫ�õ�������
+                    if (flag_tmp == 1) && (fval_meta_result > fval_tmp)
+                        fval_meta_result = fval_tmp;
+                        rx_meta_result = rx_tmp;
+                        flag_meta_result = 1;
+                    end
+                end
+                % ����õ���ý����������
+                rx_all(:,(m-5).*32+(n-28),i) = rx_meta_result;
+                fval_all(1,(m-5).*32+(n-28),i) = fval_meta_result;
+                flag_all(1,(m-5).*32+(n-28),i) = flag_meta_result;
+            else
+            % i==3����Ӧ��K4��
+                % ����K4�ͣ���ֻ�赽��Ƚ����ʽ�5��������
+                Aeq=[1,1,1,0,0];
+                beq=1;
+                a_lb=[10,4,3,4];
+                b_ub=[233,54,17,20];
+                A=[ 0,0,0,-1,a_lb(4);
+                    0,0,0,1,-b_ub(4)];
+                b=[0;0];
+                lb=[0.5;0;0;0;0];
+                ub=[0.8;1;1;inf;inf];
+                p_test = p_temp;
+                %������ɶ����ʼֵrx0_tmp���Ա���ֲ�����
+                rx0_tmp = zeros(5,1);
+                rx_meta_result = zeros(5,1);
+                fval_meta_result = inf;
+                flag_meta_result = nan; %�����ж���û�еõ������н�
+                for j = 1:nums_test_of_initial_value
+                    rx0_tmp(1) = rand*(0.8-0.5) + 0.5;
+                    rx0_tmp(2) = rand*(1-rx0_tmp(1));
+                    rx0_tmp(3) = 1 - rx0_tmp(1) - rx0_tmp(2);
+                    rx0_tmp(4) = rand*1000;
+                    rx0_tmp(5) = rand*100;
+                    [rx_tmp,fval_tmp,flag_tmp]= ...
+                            fmincon('cpiao',rx0_tmp,A,b,...
+                                    Aeq,beq,lb,ub,'nonlcon',...
+										[],4,p_test,a_lb,b_ub);
+					% ��ʽ�������ĸ�������Ϊ�����ֲ�Ʊ������(K1/K2/K3/K4)
+					% ��������Ǻ���cpiao��nonlcon�����п���Ҫ�õ�������
+                    if (flag_tmp == 1) && (fval_meta_result > fval_tmp)
+                        fval_meta_result = fval_tmp;
+                        rx_meta_result = rx_tmp;
+                        flag_meta_result = 1;
+                    end
+                end
+                % ����õ���ý����������
+                rx_all(:,(m-5).*32+(n-28),i) = [rx_meta_result;0;0];
+                fval_all(1,(m-5).*32+(n-28),i) = fval_meta_result;
+                flag_all(1,(m-5).*32+(n-28),i) = flag_meta_result;
+                
+            end
+        end
+    end
+end
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% Ѱ�Ž��������н������
+% �����У�K1��K2��K3��K4�����������Ŀ�꺯����С��
+
+% �жϣ�K1��K2��K3��K4������һ�ֵ�Ŀ�꺯����С
+ind_tmp = (flag_all >= 0);
+if sum(sum(sum(ind_tmp))) ~= 0
+    % K2��K3��K4��������ҵ��˿��н⣨�����Ž⣩
+    val_tmp = fval_all.*ind_tmp;
+    [val_tmp2,ind_tmp2] = min(val_tmp);
+    [val_min,ind_tmp3] = min(val_tmp2);
+    if (flag_k1 < 0)
+        % K1�������û�ҵ����н�
+        signal = 1;     % ��־����
+    else
+        if val_min < fval_k1
+            signal = 1;
+        elseif val_min > fval_k1
+            signal = 2;
+        else
+            signal = 3;
+        end
+    end
+    ;
+else
+    % K2��K3��K4�������û���ҵ��˿��н�
+    if (flag_k1 < 0)
+        % K1�������û�ҵ����н�
+        disp('(K1��K2��K3��K4)��������')
+        disp('һ�����нⶼû���ҵ�')
+        disp('(��������ζ����ȫû�п��н⣬')
+        disp('Ҳ���dz�ֵ��ѡ�IJ������û���ҵ���')
+        break;
+    else
+        signal = 2;
+    end
+end
+
+if (signal == 1)
+    ind_tmp4 = ind_tmp2(ind_tmp3);
+    rx_result = rx_all(:,ind_tmp4,ind_tmp3);
+    fval_result = fval_all(:,ind_tmp4,ind_tmp3);
+    fval_result =-fval_result;
+    n = (ind_tmp4 - floor(ind_tmp4 / 32) * 32) + 28;
+    m = floor(ind_tmp4 / 32) + 5;
+    p_tmp = p_all(:,ind_tmp4,ind_tmp3);
+elseif signal == 2
+    rx_result = rx_k1;
+    fval_result =-fval_k1;
+    p_tmp = p_k1;
+else    %signal == 3
+    ind_tmp4 = ind_tmp2(ind_tmp3);
+    rx_result = rx_all(:,ind_tmp4,ind_tmp3);
+    fval_result = fval_all(:,ind_tmp4,ind_tmp3);
+    fval_result =-fval_result;
+    n = (ind_tmp4 - floor(ind_tmp4 / 32) * 32) + 28;
+    m = floor(ind_tmp4 / 32) + 5;
+end
+
+% ���������
+if signal == 1      % ���Ž���K2��K3��K4��ʱ
+    if ind_tmp3 == 1
+        disp(sprintf('���Ž�Ϊ��K2�ͣ�%dѡ%d',n,m));
+    elseif ind_tmp3 == 2
+        disp(sprintf('���Ž�Ϊ��K3�ͣ�%dѡ%d+1',n,m));
+    elseif ind_tmp3 == 3
+        disp(sprintf('���Ž�Ϊ��K4�ͣ�%dѡ%d���ر��',n,m));
+    end
+elseif signal == 2  % ���Ž���K1��ʱ
+    disp(sprintf('���Ž�Ϊ��K1�ͣ�10ѡ6+1'));
+else                % K1�Ľ��K2��K3��K4�Ľ��غ�ʱ
+    if ind_tmp3 == 1
+        disp(sprintf('10ѡ6+1��K2��%dѡ%dͬΪ���Ž�',n,m));
+    elseif ind_tmp3 == 2
+        disp(sprintf('10ѡ6+1��K3��%dѡ%d+1ͬΪ���Ž�',n,m));
+    elseif ind_tmp3 == 3
+        disp(sprintf('10ѡ6+1��K4��%dѡ%d���ر��ͬΪ���Ž�',n,m));
+    end
+end
+disp('��Ӧ��Ŀ�꺯��ֵΪ��')
+disp(fval_result)
+if signal ~= 3
+    disp('����������ֵΪ��')
+    disp(rx_result)
+    disp('������Ľ���ǣ�')
+    x=zeros(3,1);
+    x(1) = (1-p_tmp(4).*rx_result(4)-...
+              p_tmp(5).*rx_result(5)-...
+              p_tmp(6).*rx_result(6)-...
+              p_tmp(7).*rx_result(7)).*rx_result(1)./p_tmp(1);
+    x(2) = (1-p_tmp(4).*rx_result(4)-...
+              p_tmp(5).*rx_result(5)-...
+              p_tmp(6).*rx_result(6)-...
+              p_tmp(7).*rx_result(7)).*rx_result(2)./p_tmp(2);
+    x(3) = (1-p_tmp(4).*rx_result(4)-...
+              p_tmp(5).*rx_result(5)-...
+              p_tmp(6).*rx_result(6)-...
+              p_tmp(7).*rx_result(7)).*rx_result(3)./p_tmp(3);
+    rx_money=[x;rx_result(4:7)];
+    disp(rx_money)
+else
+    disp('����������ֵΪ��')
+    disp('10ѡ6+1ʱ')
+    disp(rx_k1)
+    disp('K%d��ʱ',ind_tmp3+1)
+    disp(rx_result)
+end
+
+

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第10章 真题-彩票中的数学/P10-1/nonlcon.m

@@ -1,3 +1,121 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b334641f1b90b48a56dd9982c6a793347c01092b93d67364b5d69da479109acb
-size 4219
+function [c,ceq]=nonlcon(rx,type,p_test,a_lb,b_ub)
+% type������ǰ���IJ�Ʊ����
+% p_test�ǵ�ǰ��������ʣ���ǰ��Ʊ���ͣ���ǰm��n��
+% a_lb,b_ub���������������֮�ȵ����޺�����
+
+if (type == 1)
+	% ����K1�͵�
+	c(1)= 6e5- ...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)).*rx(1)./p_test(1);
+	c(2)=-5e6+ ...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)).*rx(1)./p_test(1);
+	c(3)= a_lb(1).* ...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)).*rx(2)./p_test(2)-...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)).*rx(1)./p_test(1);
+	c(4)= a_lb(2).* ...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)).*rx(3)./p_test(3)-...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)).*rx(2)./p_test(2);
+		
+	c(5)= a_lb(3).* rx(4)-...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)).*rx(3)./p_test(3);
+
+	c(6)=-b_ub(1).* ...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)).*rx(2)./p_test(2)+...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)).*rx(1)./p_test(1);
+		
+	c(7)=-b_ub(2).* ...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)).*rx(3)./p_test(3)+...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)).*rx(2)./p_test(2);
+		
+	c(8)=-b_ub(3).* rx(4)+...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)).*rx(3)./p_test(3);
+			
+	ceq=[];
+elseif (type == 2) || (type == 3)
+	% ����K2��K3�ģ�K2��K3�ɺϲ�������������Ŀһ����
+	c(1)= 6e5- ...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)-p_test(7).*rx(7)).*rx(1)./p_test(1);
+	c(2)=-5e6+ ...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)-p_test(7).*rx(7)).*rx(1)./p_test(1);
+	c(3)= a_lb(1).* ...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)-p_test(7).*rx(7)).*rx(2)./p_test(2)-...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)-p_test(7).*rx(7)).*rx(1)./p_test(1);
+	c(4)= a_lb(2).* ...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)-p_test(7).*rx(7)).*rx(3)./p_test(3)-...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)-p_test(7).*rx(7)).*rx(2)./p_test(2);
+		
+	c(5)= a_lb(3).* rx(4)-...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)-p_test(7).*rx(7)).*rx(3)./p_test(3);
+
+	c(6)=-b_ub(1).* ...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)-p_test(7).*rx(7)).*rx(2)./p_test(2)+...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)-p_test(7).*rx(7)).*rx(1)./p_test(1);
+		
+	c(7)=-b_ub(2).* ...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)-p_test(7).*rx(7)).*rx(3)./p_test(3)+...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)-p_test(7).*rx(7)).*rx(2)./p_test(2);
+		
+	c(8)=-b_ub(3).* rx(4)+...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)-...
+				p_test(6).*rx(6)-p_test(7).*rx(7)).*rx(3)./p_test(3);
+	if (rx(7) == 0)
+		c(9) = -1;
+		c(10)= -1;
+	else
+		c(9) = a_lb(6) .* rx(7) - rx(6);
+		c(10)=-b_ub(6) .* rx(7) + rx(6);
+	end
+	ceq=[];
+elseif (type == 4)
+	% K4��
+	c(1)= 6e5- ...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)).*rx(1)./p_test(1);
+	c(2)=-5e6+ ...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)).*rx(1)./p_test(1);
+	c(3)= a_lb(1).* ...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)).*rx(2)./p_test(2)-...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)).*rx(1)./p_test(1);
+	c(4)= a_lb(2).* ...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)).*rx(3)./p_test(3)-...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)).*rx(2)./p_test(2);
+		
+	c(5)= a_lb(3) .*rx(4)-...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)).*rx(3)./p_test(3);
+
+	c(6)=-b_ub(1).* ...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)).*rx(2)./p_test(2)+...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)).*rx(1)./p_test(1);
+		
+	c(7)=-b_ub(2).* ...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)).*rx(3)./p_test(3)+...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)).*rx(2)./p_test(2);
+		
+	c(8)=-b_ub(3) .* rx(4)+...
+			 (1-p_test(4).*rx(4)-p_test(5).*rx(5)).*rx(3)./p_test(3);
+	ceq=[];
+else
+	error('Error in function nonlcon!')
+end

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第10章 真题-彩票中的数学/说明.txt

@@ -1,3 +1,4 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f6471b466650ea3bfea675885db5487b0902dfd9e99252712ea4337a264b6aaa
-size 116
+P10-1
+����ҳ�룺191
+��������������-��Ʊ�е���ѧ
+�����ļ���main.m(������) cpiao.m calculate_probablity.m nonlcon.m

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第11章 真题-露天矿卡车的调度问题/P11-1/main1101.m

@@ -1,3 +1,57 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5126fad0c085ca5bba542ef8e5f3f43a1c52810ef8acb3438b5db7b2d3e31849
-size 6067
+c=[5.26	5.19	4.21	4	2.95	2.74	2.46	1.9	0.64	1.27	1.9	0.99	1.9	1.13	1.27	2.25	1.48	2.04	3.09	3.51	4.42	3.86	3.72	3.16	2.25	2.81	0.78	1.62	1.27	0.5	5.89	5.61	5.61	4.56	3.51	3.65	2.46	2.46	1.06	0.57	0.64	1.76	1.27	1.83	2.74	2.6	4.21	3.72	5.05	6.1];
+A=[0.0154	0.0154	0.0154	0.0154	0.0154	0.0154	0.0154	0.0154	0.0154	0.0154	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+-0.0154	-0.0154	-0.0154	-0.0154	-0.0154	-0.0154	-0.0154	-0.0154	-0.0154	-0.0154	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	0.0154	0.0154	0.0154	0.0154	0.0154	0.0154	0.0154	0.0154	0.0154	0.0154	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	-0.0154	-0.0154	-0.0154	-0.0154	-0.0154	-0.0154	-0.0154	-0.0154	-0.0154	-0.0154	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.0154	0.0154	0.0154	0.0154	0.0154	0.0154	0.0154	0.0154	0.0154	0.0154	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	-0.0154	-0.0154	-0.0154	-0.0154	-0.0154	-0.0154	-0.0154	-0.0154	-0.0154	-0.0154	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+-0.005	-0.025	-0.015	0.015	0.005	0.025	0.015	0.005	0.025	0.005	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+-0.0104	0.0096	-0.0004	-0.0304	-0.0204	-0.0404	-0.0304	-0.0204	-0.0404	-0.0204	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	-0.005	-0.025	-0.015	0.015	0.005	0.025	0.015	0.005	0.025	0.005	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	-0.015	0.005	-0.005	-0.035	-0.025	-0.045	-0.035	-0.025	-0.045	-0.025	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	-0.005	-0.025	-0.015	0.015	0.005	0.025	0.015	0.005	0.025	0.005	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	-0.015	0.005	-0.005	-0.035	-0.025	-0.045	-0.035	-0.025	-0.045	-0.025	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0
+0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0
+0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0
+0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1
+1	1	1	1	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	1	1	1	1	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	1	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	1	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0
+0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	1	1	1	1	1	1	1
+1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0
+0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0
+0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0
+0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0
+0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
+0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0
+0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0
+0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0
+0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0
+0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1
+];
+b=[1.2154	-1.2	1.3154	-1.3	1.3154	-1.3	0	0	0	0	0	0	61.68831169	68.18181818	64.93506494	68.18181818	71.42857143	81.16883117	68.18181818	84.41558442	87.66233766	81.16883117	81.16883117	71.42857143	87.66233766	68.18181818	74.67532468	87.66233766	68.18181818	74.67532468	87.66233766	81.16883117	160	160	160	160	160	96	96	96	96	96	96	96	96	96	96]';
+Aeq=[];
+beq=[];
+lb=zeros(1,50);
+for i=1 :50
+    ub(i)=inf;
+end
+[x,z]=linprog(c,A,b,Aeq,beq,lb,ub)

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第11章 真题-露天矿卡车的调度问题/说明.txt

@@ -1,3 +1,4 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:fd69a57ac7196b1094a59cb3d0edfa07cf9705896460cf9fb9c676a448e83a45
-size 79
+P11-1
+����ҳ�룺210
+��������������-¶��󿨳��ĵ�������
+�����ļ���Main1101.m

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第12章 真题-奥运会商圈规划问题/P12-1/Sams.m

@@ -1,3 +1,150 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:640dd11fef98c9dfb78933e022a64faded19dbbd038a575b7fbdba4b4ff6e76c
-size 4206
+%MYFSAPLP SOLVE THE PLP IN THE THIRD PROBLEM BY SA ALGORITHM.
+%����ֻ����nΪż�������
+%������ʼ��
+clc
+clf
+clear;
+xmin = 0; xmax = 200; ymin = 0; ymax = 150;
+r = 25; n =6;
+fval_every=1; fval_best=fval_every; fval_pro=fval_every;
+lamdao=1e30; fs_every=1;
+t0=98; tf=3; a=0.98; t=t0; t_mid=50;
+p=1;
+dfo=0;
+while(t>tf)
+	if p==1
+		%�����½�
+		for i=1:n./2
+            x(i.*2-1)=r+2*r*(i-1);
+            x(i*2)=r+2*r*(i-1);
+            y(2*i-1)=r;
+            y(2*i)=3*r;
+		end
+        for i=1:(n-1)
+            for j=(i+1):n
+                fs_every=fs_every.*sqrt((x(i)-x(j)).^2+(y(i)-y(j)).^2);
+            end
+        end
+        fs_every=fs_every.^(1./n);
+        fval_every=fs_every;
+        dfval=fval_pro-fval_every;
+		if dfval<0
+            if p~=1
+                x(i)=x0;
+                y(i)=y0;
+                fval_pro=fval_every;
+                fs_pro=fs_every;
+                dfo_pro=dfo;
+            else
+                fval_pro=fval_every;
+                fs_pro=fs_every;
+                dfo_pro=dfo;
+            end
+		else
+            rand_jud=rand;
+            if rand_jud>exp(-dfval./t)
+                x(i)=x0;
+                y(i)=y0;
+                fval_pro=fval_every;
+                fs_pro=fs_every;
+                dfo_pro=dfo;
+            else
+                fs_every=fs_pro;
+                fval_every=fval_pro;
+                dfo=dfo_pro;
+            end
+		end
+        if fval_every>fval_best
+            x_best=x;
+            y_best=y;
+            fval_best=fval_every;
+            fs_best=fs_every;
+            dfo_bestk=dfo;
+        end
+        p=p-1;
+        
+	else
+%         keyboard
+        for k=1:500.*n
+            i=ceil(rand.*n);
+            x0=(xmin+r)+rand*((xmax-r)-(xmin+r));
+            y0=(ymin+r)+rand*((ymax-r)-(ymin+r));
+            for j=1:n
+                if j~=i
+                    dis0=sqrt((x(j)-x(i)).^2+(y(j)-y(i)).^2);
+                    dis1=sqrt((x(j)-x0).^2+(y(j)-y0).^2);
+                    if dis0 < 2*r
+                        dfo=dfo-1;  
+                    else
+                        dfo=dfo+1;
+                    end
+                    if dis1 < 2*r
+                        dfo=dfo+1;
+                    else
+                        dfo=dfo-1;
+                    end
+                    fs_every=fs_every./dis0.^(1./n);
+                    fs_every=fs_every.*dis1.^(1./n);
+                end
+            end
+            dfo_tmp=dfo./2;
+            fval_every=fs_every-dfo_tmp.*lamdao./t;      
+            
+			dfval=fval_pro-fval_every;
+			if dfval<0
+                if p~=1
+                    x(i)=x0;
+                    y(i)=y0;
+                    fval_pro=fval_every;
+                    fs_pro=fs_every;
+                    dfo_pro=dfo;
+                else
+                    fval_pro=fval_every;
+                    fs_pro=fs_every;
+                    dfo_pro=dfo;
+                end
+			else
+                rand_jud=rand;
+                if rand_jud>exp(-dfval./t)
+                    x(i)=x0;
+                    y(i)=y0;
+                    fval_pro=fval_every;
+                    fs_pro=fs_every;
+                    dfo_pro=dfo;
+                else
+                    fs_every=fs_pro;
+                    fval_every=fval_pro;
+                    dfo=dfo_pro;
+                end
+			end
+            if fval_every>fval_best
+                x_best=x;
+                y_best=y;
+                fval_best=fval_every;
+                fs_best=fs_every;
+                dfo_bestk=dfo;
+            end
+        end
+    end
+    t=t.*a;
+end
+
+%������
+x_center = x_best;
+y_center = y_best;
+disp('Բ������ֱ�Ϊ��')
+circle_center = [x_center; y_center]';
+disp(circle_center)
+%��ͼ
+hold on
+for i = 1 : length(x_center)
+    x_plot_tmp = linspace(x_center(i)-r,x_center(i)+r);
+    y_plot_tmp_up = ...
+        sqrt(r.^2 - (x_plot_tmp - x_center(i)).^2) ...
+            + y_center(i);
+    y_plot_tmp_down = ...
+        - sqrt(r.^2 - (x_plot_tmp - x_center(i)).^2) ...
+            + y_center(i);
+    plot(x_plot_tmp,y_plot_tmp_up);
+    plot(x_plot_tmp,y_plot_tmp_down);
+end

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第12章 真题-奥运会商圈规划问题/P12-2/Gamain.m

@@ -1,3 +1,19 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b110440e38cb5a5ea99fd1c95e338f34cb1db569787c9d7fb42b27fabef474ab
-size 342
+% GA main
+% using toolbox of GAOT version 5
+clc
+clf
+clear
+bounds=ones(12,2);
+
+global r
+
+xmin=0; ymin=0; xmax=200; ymax=150;
+r=25; n=6;
+bounds(:,1)=zeros(12,1) + r;
+bounds(1:6,2)=ones(6,1).*xmax - r;
+bounds(7:12,2)=ones(6,1).*ymax - r;
+
+[x,endPop] = ga(bounds,'myfGAPLP',[],[],[1e-6 1 1]);
+
+myfplotcircleGA(x,r,xmax,ymax);
+

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第12章 真题-奥运会商圈规划问题/P12-2/myfGAPLP.m

@@ -1,3 +1,18 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:365ca480d4fbb511df85878bcd57a372a02dcaea7929a10227196cfaec837c4e
-size 396
+%% ����Ϊ���������ij��򣬷��ڶ����ĵ�m�ļ���
+function [x,fval]=myfGAPLP(x,options)
+% options is required by the format of GAOT ver 5.
+
+fval=1; dfo=0;
+global r
+
+n=6;lamdao=1e30;
+for i=1:(n-1)
+    for j=(i+1):n
+        rtmp=sqrt((x(i)-x(j)).^2+(x(n+i)-x(n+j)).^2);
+        fval=fval.*rtmp;
+        if rtmp < 2*r
+            dfo=dfo+1;
+        end
+    end
+end
+fval=fval-dfo.*lamdao;

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第12章 真题-奥运会商圈规划问题/P12-2/myfplotcircleGA.m

@@ -1,3 +1,22 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:d8037217a3163d7ed39f79dc341af22afb5a7e15b8ce015238052a75dc3c2550
-size 446
+%% ����Ϊ���������ij��򣬷��ڶ����ĵ�m�ļ���
+function y=myfplotcircleGA(xx,rtmp,xmax,ymax)
+% plot circle
+
+xtmp=xx(1:6);
+ytmp=xx(7:12);
+numlen=length(xtmp);
+numsize=200;
+t=linspace(0,2.*pi,numsize);
+xplot=zeros(numsize,1);
+yplot=zeros(numsize,1);
+hold on
+for j=1:numlen
+	for i=1:numsize
+		xplot(i)=xtmp(j)+rtmp*cos(t(i));
+		yplot(i)=ytmp(j)+rtmp*sin(t(i));
+	end
+	plot(xplot,yplot)
+end
+y=[];
+xlim([0 xmax]);
+ylim([0 ymax]);  

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第12章 真题-奥运会商圈规划问题/说明.txt

@@ -1,3 +1,10 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3ad775422d0b8ec8bdf5113cfc2d416b510faec28827d9273ce24723aa0b6905
-size 206
+P12-1
+����ҳ�룺227
+��������������-���˻���Ȧ�滮����--ģ���˻���ⳬ�в���
+�����ļ���Sams.m
+
+P12-2
+
+����ҳ��:230
+��������������-���˻���Ȧ�滮����--�Ŵ��㷨��ⳬ�в���
+�����ļ���Gemain.m(������) 

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第13章 真题-卫星和飞船的跟踪测控/P13-1/Ch13_simulink.m

@@ -1,3 +1,256 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:4f81e2f160e0b9978673291afcab2659dbde59d09047df036847d9c21f729dc9
-size 14722
+%������ʵ�����ݷɴ����ٲ�صļ�������⣬�����е��򡢷ɴ�
+%�͵���12�����վͬʱ�˶��������������������ķ��棬
+%ʹ��ʱֻҪ��bhk_med.wav�ļ�����D����Ȼ�����иó����Okay�ˡ�
+clc;clear all;close all;
+disp('��������ڻ���֮�У������ĵȴ�����');
+disp('��������ʱ�뽫��������Ա����ǿ�ҵ��Ӿ����');
+a1=20;b1=7;a2=35;b2=37;checklength=45;
+e=0;f=0;k=1;h=1;p=0;q=0;geshu1=1000;
+%���������������ݸ���һ���ռ�
+Music_sound_vector=[];
+%��������Դ������Ҫ�����Խ���ͬ��ֵ��ͬƵ�ʵ����Һ������е��Ӳ���������
+%Ҳ���Դ�����������*.wave��ʽ����Ƶ������򡣿��Դ������϶�����һЩ��Ƶ��
+%Ȼ�����DZ��������ʸ��������ʱ���������Ч��
+[sound_vector,sf]=wavread('bhk_med.wav');
+%С����һά�ֽ⣬��С���������ع�ԭ������ԭ�����ļ���������
+%����Ĭ�ϸ�Ƶd5Ϊ����
+[c,l]=wavedec(sound_vector,5,'db8');
+%�ع���1~5��ƽ��źţ�Ϊ�˱�����ǰ���a1/a2/a3�Ȼ�����
+%���ƽ��ź���af��ʾ
+af5=wrcoef('a',c,l,'db8',5);af4=wrcoef('a',c,l,'db8',4);af3=wrcoef('a',c,l,'db8',3);
+af2=wrcoef('a',c,l,'db8',2);af1=wrcoef('a',c,l,'db8',1);
+%�ع���1~5��ϸ���ź�
+d5=wrcoef('d',c,l,'db8',5);d4=wrcoef('d',c,l,'db8',4);d3=wrcoef('d',c,l,'db8',3);
+d2=wrcoef('d',c,l,'db8',2);d1=wrcoef('d',c,l,'db8',1);
+sound_vector=af5+d1+d2+d3+d4; %�������е����ʹ��˵�
+%Ϊ��ֹ��������涯���ڲ�����������������������
+%���ԶԲ���������ʸ�����ݽ�����չ
+%���⣬Ϊ�˷����������ݣ���Wave�����ļ����������������ijɺ���
+sound_vector=sound_vector';
+if geshu1./length(sound_vector)<1
+    Music_sound_vector=sound_vector;
+end
+if geshu1./length(sound_vector)>1
+    if round(geshu1./length(sound_vector))==2
+       if (geshu1./length(sound_vector))-round(geshu1./length(sound_vector))<0
+           Music_sound_vector=repmat(sound_vector,[1,2]);
+       end
+       if (geshu1./length(sound_vector))-round(geshu1./length(sound_vector))>0
+           Music_sound_vector=repmat(sound_vector,[1,3]);
+       end 
+    end 
+    if round(geshu1./length(sound_vector))==3
+       if (geshu1./length(sound_vector))-round(geshu1./length(sound_vector))<0
+           Music_sound_vector=repmat(sound_vector,[1,3]);
+       end
+       if (geshu1./length(sound_vector))-round(geshu1./length(sound_vector))>0
+           Music_sound_vector=repmat(sound_vector,[1,4]);
+       end 
+    end   
+     if round(geshu1./length(sound_vector))==4
+       if (geshu1./length(sound_vector))-round(geshu1./length(sound_vector))<0
+           Music_sound_vector=repmat(sound_vector,[1,4]);
+       end
+       if (geshu1./length(sound_vector))-round(geshu1./length(sound_vector))>0
+           Music_sound_vector=repmat(sound_vector,[1,5]);
+       end 
+     end  
+     if round(geshu1./length(sound_vector))==5
+       if (geshu1./length(sound_vector))-round(geshu1./length(sound_vector))<0
+          Music_sound_vector=repmat(sound_vector,[1,5]);
+       end
+       if (geshu1./length(sound_vector))-round(geshu1./length(sound_vector))>0
+          Music_sound_vector=repmat(sound_vector,[1,6]);
+       end 
+     end     
+end
+Music_sound_vector=Music_sound_vector';
+%�����������IJ�����Ҫ���ڳ���ĺ��棬���γɶ�����set����һ�����У�
+%���������γ��ǽ���������������ȡ��ǰ���£�
+%����һ��һ���Ķ������ݲ����γ�����
+%���γ������ĺ���soundsc���ڴ˴����ͻ��γ�������
+%��Ȼ������ȶ�����΢��ǰһ���ͷų�����
+%�˴��γɵ��������������ԣ�һֱ����涯���IJ��Ŷ����ڡ�
+%���Ը��ݶ������ŵ�ʱ�䳤�������������ļ��Ĵ�С�Ա㾡����ʹ������
+%����ͬʱ������
+%��Ҫע����ǣ�����Ҫ������ģ��Ķ���ƥ�䣬
+%���Խ���ͬ��ʽ����Ƶͨ������ת����
+%��.wave��ʽ��֮����ʹ����soundsc������û��ʹ��sound������
+%��Ϊsound���������%[-1 1]����֮���������ݡ�
+soundsc(Music_sound_vector,sf);
+%������Ϣ������ϣ����м����ģ��ʱ��һ�߲��Ŷ���һ�߷����붯����ĵ�����
+%������12�����վ������
+stationx1=1.508;stationy1=6.98;stationx2=8.181;stationy2=6.388;
+stationx3=14.85;stationy3=4.69;stationx4=19.95;stationy4=0.4729;
+stationx5=16.93;stationy5=-3.726;stationx6=9.699;stationy6=-6.122;
+stationx7=1.32;stationy7=-6.985;stationx8=-5.525;stationy8=-6.728;
+stationx9=-13.66;stationy9=-5.114;stationx10=-19.98;stationy10=0.2971;
+stationx11=-14.93;stationy11=4.658;stationx12=-8.066;stationy12=6.406;
+%����12������������ǵ���ֹλ��
+stationsigalbegin1=(-87)/180*pi;stationsigalend1=(87)/180*pi;
+stationsigalbegin2=(-57)/180*pi;stationsigalend2=(117)/180*pi;
+stationsigalbegin3=(-27)/180*pi;stationsigalend3=(147)/180*pi;
+stationsigalbegin4=(3)/180*pi;stationsigalend4=(177)/180*pi;
+stationsigalbegin5=(33)/180*pi;stationsigalend5=(207)/180*pi;
+stationsigalbegin6=(63)/180*pi;stationsigalend6=(237)/180*pi;
+stationsigalbegin7=(93)/180*pi;stationsigalend7=(267)/180*pi;
+stationsigalbegin8=(123)/180*pi;stationsigalend8=(297)/180*pi;
+stationsigalbegin9=(153)/180*pi;stationsigalend9=(327)/180*pi;
+stationsigalbegin10=(183)/180*pi;stationsigalend10=(357)/180*pi;
+stationsigalbegin11=(213)/180*pi;stationsigalend11=(387)/180*pi;
+stationsigalbegin12=(243)/180*pi;stationsigalend12=(417)/180*pi;
+w1=linspace(0,2*pi,geshu1);w2=linspace(1,2*pi+1,geshu1);
+tc1=a1*sin(w1);uc1=b1*cos(w1);tc2=a2*sin(w2)+tc1;uc2=b2*cos(w2)+uc1;
+title('������������ۺŷɴ����ϵͳ','fontsize',20,'color',[0 0 0],'fontname','����');
+%�趨�������еı߿�Χ�����򶯻������ܳ�����ͼ��֮��
+line([-50 50],[-50 -50]);line([-50 -50],[-50 50]);
+line([50 50],[-50 50]);line([50 -50],[50 50]);
+hold on;
+sun= line(tc1(1),uc1(1),'color',[e f k],'marker','.',...
+    'markersize',110,'erasemode','xor');
+earth=line(tc2(1),uc2(1),'color',[e f k],'marker','.',...
+    'markersize',50,'erasemode','xor');
+%�滮�����ϵ�12����������ص�Ŀ�귶Χ
+checkstation1=line(stationx1,stationy1,'color',[1 1 1],'marker','.',...
+    'markersize',1.2,'erasemode','none');
+checkstation2=line(stationx2,stationy2,'color',[1 1 1],'marker','.',...
+    'markersize',1.2,'erasemode','none');
+checkstation3=line(stationx3,stationy3,'color',[1 1 1],'marker','.',...
+    'markersize',1.2,'erasemode','none');
+checkstation4=line(stationx4,stationy4,'color',[1 1 1],'marker','.',...
+    'markersize',1.2,'erasemode','none');
+checkstation5=line(stationx5,stationy5,'color',[1 1 1],'marker','.',...
+    'markersize',1.2,'erasemode','none');
+checkstation5=line(stationx6,stationy6,'color',[1 1 1],'marker','.',...
+    'markersize',1.2,'erasemode','none');
+checkstation5=line(stationx7,stationy7,'color',[1 1 1],'marker','.',...
+    'markersize',1.2,'erasemode','none');
+checkstation5=line(stationx8,stationy8,'color',[1 1 1],'marker','.',...
+    'markersize',1.2,'erasemode','none');
+checkstation5=line(stationx9,stationy9,'color',[1 1 1],'marker','.',...
+    'markersize',1.2,'erasemode','none');
+checkstation5=line(stationx10,stationy10,'color',[1 1 1],'marker','.',...
+    'markersize',1.2,'erasemode','none');
+checkstation5=line(stationx11,stationy11,'color',[1 1 1],'marker','.',...
+    'markersize',1.2,'erasemode','none');
+checkstation5=line(stationx12,stationy12,'color',[1 1 1],'marker','.',...
+    'markersize',1.2,'erasemode','none');                   
+hold on;guiji1=plot(a1*sin(w1),b1*cos(w1));
+%���õ���������ij�ʼֵ,checkstation1�ĽǶȵĴ���Ҫ����ע��
+checkstation1=plot([stationx1,stationx1+checklength*sin(stationsigalbegin1)],...
+                   [stationy1,stationy1+checklength*sin(stationsigalend1)]);
+checkstation2=plot([stationx2,stationx2+checklength*sin(stationsigalbegin2)],...
+                   [stationy2,stationy2+checklength*sin(stationsigalend2)]);
+checkstation3=plot([stationx3,stationx3+checklength*sin(stationsigalbegin3)],...
+                   [stationy3,stationy3+checklength*sin(stationsigalend3)]);
+checkstation4=plot([stationx4,stationx4+checklength*sin(stationsigalbegin4)],...
+                   [stationy4,stationy4+checklength*sin(stationsigalend4)]);
+checkstation5=plot([stationx5,stationx5+checklength*sin(stationsigalbegin5)],...
+                   [stationy5,stationy5+checklength*sin(stationsigalend5)]);
+checkstation6=plot([stationx6,stationx6+checklength*sin(stationsigalbegin6)],...
+                   [stationy6,stationy6+checklength*sin(stationsigalend6)]);
+checkstation7=plot([stationx7,stationx7+checklength*sin(stationsigalbegin7)],...
+                   [stationy7,stationy7+checklength*sin(stationsigalend7)]);
+checkstation8=plot([stationx8,stationx8+checklength*sin(stationsigalbegin8)],...
+                   [stationy8,stationy8+checklength*sin(stationsigalend8)]);
+checkstation9=plot([stationx9,stationx9+checklength*sin(stationsigalbegin9)],...
+                   [stationy9,stationy9+checklength*sin(stationsigalend9)]);
+checkstation10=plot([stationx10,stationx10+checklength*sin(stationsigalbegin10)],...
+                   [stationy10,stationy10+checklength*sin(stationsigalend10)]);
+checkstation11=plot([stationx11,stationx11+checklength*sin(stationsigalbegin11)],...
+                    [stationy11,stationy11+checklength*sin(stationsigalend11)]);
+checkstation12=plot([stationx12,stationx12+checklength*sin(stationsigalbegin12)],...
+                    [stationy12,stationy12+checklength*sin(stationsigalend12)]);
+hold off;axis off;box off;    
+set(guiji1,'color','r','linestyle','-','linewidth',2.0,'erasemode','none');
+set(earth,'color','g','erasemode','xor');set(sun,'erasemode','xor');
+%���õ��������������
+set(checkstation1,'color','r','linestyle','-','linewidth',1.2,'erasemode','none');
+set(checkstation2,'color','r','linestyle','-','linewidth',1.2,'erasemode','none');
+set(checkstation3,'color','r','linestyle','-','linewidth',1.2,'erasemode','none');
+set(checkstation4,'color','r','linestyle','-','linewidth',1.2,'erasemode','none');
+set(checkstation5,'color','r','linestyle','-','linewidth',1.2,'erasemode','none');
+set(checkstation6,'color','r','linestyle','-','linewidth',1.2,'erasemode','none');
+set(checkstation7,'color','r','linestyle','-','linewidth',1.2,'erasemode','none');
+set(checkstation8,'color','r','linestyle','-','linewidth',1.2,'erasemode','none');
+set(checkstation9,'color','r','linestyle','-','linewidth',1.2,'erasemode','none');
+set(checkstation10,'color','r','linestyle','-','linewidth',1.2,'erasemode','none');
+set(checkstation11,'color','r','linestyle','-','linewidth',1.2,'erasemode','none');
+set(checkstation12,'color','r','linestyle','-','linewidth',1.2,'erasemode','none');
+%������ʼ��ӳ��
+for i=1:4; 
+for r=1:geshu1;
+e1=[linspace(1,0,geshu1) linspace(0,1,geshu1)];
+f1=[linspace(1,0,geshu1) linspace(0,1,geshu1)];
+k1=[linspace(0,1,geshu1) linspace(1,0,geshu1)];
+e2=[linspace(1,0,geshu1) linspace(0,1,geshu1)];
+f2=[linspace(0,1,geshu1) linspace(1,0,geshu1)];
+k2=[linspace(1,0,geshu1) linspace(0,1,geshu1)];
+e3=[linspace(0,1,geshu1) linspace(1,0,geshu1)];
+f3=[linspace(1,0,geshu1) linspace(0,1,geshu1)];
+k3=[linspace(1,0,geshu1) linspace(0,1,geshu1)];
+%�������ĵ��������
+stationseprate1=[linspace(stationsigalbegin1,stationsigalend1,geshu1)];
+stationseprate2=[linspace(stationsigalbegin2,stationsigalend2,geshu1)];
+stationseprate3=[linspace(stationsigalbegin3,stationsigalend3,geshu1)];
+stationseprate4=[linspace(stationsigalbegin4,stationsigalend4,geshu1)];
+stationseprate5=[linspace(stationsigalbegin5,stationsigalend5,geshu1)];
+stationseprate6=[linspace(stationsigalbegin6,stationsigalend6,geshu1)];
+stationseprate7=[linspace(stationsigalbegin7,stationsigalend7,geshu1)];
+stationseprate8=[linspace(stationsigalbegin8,stationsigalend8,geshu1)];
+stationseprate9=[linspace(stationsigalbegin9,stationsigalend9,geshu1)];
+stationseprate10=[linspace(stationsigalbegin10,stationsigalend10,geshu1)];
+stationseprate11=[linspace(stationsigalbegin11,stationsigalend11,geshu1)];
+stationseprate12=[linspace(stationsigalbegin12,stationsigalend12,geshu1)];
+set(guiji1,'color',[0.1,0.3,0.4],'XData',a1*sin(w1),'YData',b1*cos(w1));
+%MarkerEdgeColor��ʾ���ͱ�ɫ��'MarkerFaceColor��ʾ�������ɫ��
+%[0.49 1 0.48]ɫ���DZ�ʯ����[1 0.62 0.40]��ʾͭ��ɫ
+set(sun,'marker','o','markersize',45,'linewidth',8.0,'MarkerEdgeColor',...
+[0.49 1 0.48],'MarkerFaceColor',[1 0.62 0.40],'XData',tc1(r),'YData',uc1(r));
+mm1=[a2*sin(w2)+tc1(r)*ones(1,geshu1)
+     a2*sin(w2)+tc1(r)*ones(1,geshu1) 
+     a2*sin(w2)+tc1(r)*ones(1,geshu1)];
+nn1=[b2*cos(w2)+uc1(r)*ones(1,geshu1)
+     b2*cos(w2)+uc1(r)*ones(1,geshu1)
+     b2*cos(w2)+uc1(r)*ones(1,geshu1)];
+set(earth,'color',[e2(2*r) f2(2*r) k2(2*r)],'XData',mm1(3*r),'YData',nn1(3*r));
+%���վ��ʼ���м�⶯��ģ��,��ɫ��Ҫ������������
+set(checkstation1,'color',[0 0.4 0.8],'XData',...
+    [stationx1,stationx1+checklength*sin(stationseprate1(r))],...
+    'YData',[stationy1,stationy1+checklength*cos(stationseprate1(r))]);
+set(checkstation2,'color',[0.1 0.3 0.7],'XData',...
+    [stationx2,stationx2+checklength*sin(stationseprate2(r))],...
+    'YData',[stationy2,stationy2+checklength*cos(stationseprate2(r))]);
+set(checkstation3,'color',[0.2 0.2 0.6],'XData',...
+    [stationx3,stationx3+checklength*sin(stationseprate3(r))],...
+    'YData',[stationy3,stationy3+checklength*cos(stationseprate3(r))]);
+set(checkstation4,'color',[0.3 0.1 0.5],'XData',...
+    [stationx4,stationx4+checklength*sin(stationseprate4(r))],...
+    'YData',[stationy4,stationy4+checklength*cos(stationseprate4(r))]);
+set(checkstation5,'color',[0.4 0.2 0.4],'XData',...
+    [stationx5,stationx5+checklength*sin(stationseprate5(r))],...
+    'YData',[stationy5,stationy5+checklength*cos(stationseprate5(r))]);
+set(checkstation6,'color',[0.5 0.3 0.3],'XData',...
+    [stationx6,stationx6+checklength*sin(stationseprate6(r))],...
+    'YData',[stationy6,stationy6+checklength*cos(stationseprate6(r))]);
+set(checkstation7,'color',[0.6 0.4 0.2],'XData',...
+    [stationx7,stationx7+checklength*sin(stationseprate7(r))],...
+    'YData',[stationy7,stationy7+checklength*cos(stationseprate7(r))]);
+set(checkstation8,'color',[0.7 0.5 0.1],'XData',...
+    [stationx8,stationx8+checklength*sin(stationseprate8(r))],...
+    'YData',[stationy8,stationy8+checklength*cos(stationseprate8(r))]);
+set(checkstation9,'color',[0.8 0.6 0.2],'XData',...
+    [stationx9,stationx9+checklength*sin(stationseprate9(r))],...
+    'YData',[stationy9,stationy9+checklength*cos(stationseprate9(r))]);
+set(checkstation10,'color',[0.9 0.7 0.3],'XData',...
+    [stationx10,stationx10+checklength*sin(stationseprate10(r))],...
+    'YData',[stationy10,stationy10+checklength*cos(stationseprate10(r))]);
+set(checkstation11,'color',[0.8 0.8 0.4],'XData',...
+    [stationx11,stationx11+checklength*sin(stationseprate11(r))],...
+    'YData',[stationy11,stationy11+checklength*cos(stationseprate11(r))]);
+set(checkstation12,'color',[0.7 0.9 0.5],'XData',...
+    [stationx12,stationx12+checklength*sin(stationseprate12(r))],...
+    'YData',[stationy12,stationy12+checklength*cos(stationseprate12(r))]);
+end
+pause(0.1);drawnow;
+end

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第13章 真题-卫星和飞船的跟踪测控/P13-1/重要说明.txt

@@ -1,3 +1,3 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:fb30e3112c1bcd1ee864ccd150683a71cf8732e7a9fe814aa4f46536100e4a34
-size 157
+1. ��Ҫ�������ļ�bhk_med.wav����D�̸�Ŀ¼�²ſ���ֱ��ִ�г��򣬻򽫳����е������ļ�·��ָ��ǰĿ���������ڵĵ�ַ��
+
+2.�������ֿ��Ը����������������кϳɡ�

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第13章 真题-卫星和飞船的跟踪测控/说明.txt

@@ -1,3 +1,4 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9a65eef80fd5d8fee99b8d9896f1ba0c93a0fd7be3d136eb83bb4505309269f7
-size 114
+P13-1
+����ҳ�룺236
+��������������-���Ǻͷɴ��ĸ��ٲ��--�ɴ����ϵͳ���涯��
+�����ļ���Ch13_sumulink.m(������)

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第14章 真题-出版社的资源配置问题/P14-1/Ch17_lin.m

@@ -1,3 +1,54 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:62cb6dd36161e8c208d668aa78d861bf0a42c78ec0623701070352bb9011c74c
-size 2932
+%lin.m   ����MATLAB�Դ����Ż����������
+clc
+%����Ŀ���γ̵ľ���
+jsj=[25.8 25.5 28.0 26.0 24.7 25.6 27.0 22.9 25.9 24.5];
+jg=[26.4 27.3 24.9 27.5 23.5 23.5 25.7 32.9 31.5 35.3];
+sx=[21.0 20.2 24.8 19.6 18.6 23.3 13.1 18.4 22.5 25.7];
+yy=[34.4 18.7 33.0 20.6 27.9 21.4 11.4 31.3 23.5 32.3];
+lk=[14.7 18.8 26.6 16.7 13.4 14.8 17.5 24.2];
+jn=[22.5 32.3 20.8 21.6 23.0 35.4];
+hg=[20.0 23.6 25.6 28.0 18.9 26.7];
+dl=[21.5 32.4 24.0 23.8 18.2 22.7];
+hj=[37.5 22.2 20.7 22.7 24.3 32.2];
+%���γ̵���Ÿ����ٷֱ�
+w1=[0.159090909 0.161931818 0.039772727 0.048295455 0.048295455 0.153409091 0.122159091 0.048295455 0.147727273 0.071022727];
+w2=[0.135678392 0.08040201 0.090452261 0.070351759 0.090452261 0.090452261 0.095477387 0.16080402 0.095477387 0.090452261];
+w3=[0.044354839 0.173387097 0.239247312 0.036290323 0.120967742 0.143817204 0.059139785 0.024193548 0.102150538 0.056451613];
+w4=[0.355971897 0.044496487 0.016393443 0.18969555 0.06088993 0.121779859 0.049180328 0.044496487 0.072599532 0.044496487];
+w5=[0.065789474 0.149122807 0.105263158 0.157894737 0.074561404 0.140350877 0.157894737 0.149122807];
+w6=[0.296482412 0.060301508 0.110552764 0.27638191 0.100502513 0.155778894];
+w7=[0.076190476 0.152380952 0.2 0.123809524 0.123809524 0.323809524];
+w8=[0.175 0.183333333 0.191666667 0.216666667 0.116666667 0.116666667];
+w9=[0.174603175 0.238095238 0.222222222 0.214285714 0.087301587 0.063492063];
+c1=[249.4166666 363.8375 118.3333333 238.4375 162.4166667 276.5818181 503.5486111 83.08333333 387.975 414.9375];
+c2=[1425.5 1875.75 386.6666666 1106.208333 286.4166667 544.9166667 812.9375 575.2916666 2589.9375 1356.0625];
+c3=[746.5416667 847.3785714 8609.903374 1297.5 1462.357843 2617.573864 628.4214286 498.8125 465.6760417 2863.553572];
+c4=[747.8024039 525.45 907.9166667 268.5805555 447.8583334 274.1125 59.91666667 632.3875 347.4464286 301.8333333];
+c5=[5297.5625 7532.660714 8622.2 4606.104167 16071.85416 7891.25 4104.633929 1241.875];
+c6=[681.3461539 266.875 480.25 816.175 1204.683334 1000.75];
+c7=[1038.75 863.95 406.975 162.9166667 782.0833333 427.4583333];
+c8=[226.6666667 644.875 600.125 810.5 295.1666667 1543.666666];
+c9=[593.1875 476.7916667 629.1666666 414.25 718.625 1460.75];
+m=0.7;
+ys=-[sum(jsj.*w1.*c1) sum(jg.*w2.*c2) sum(sx.*w3.*c3) sum(yy.*w4.*c4) sum(lk.*w5.*c5) sum(jn.*w6.*c6) sum(hg.*w7.*c7) sum(dl.*w8.*c8) sum(hj.*w9.*c9)];
+y1=m*ys;
+my=[3.25 3.24 3.24 3.24 3.2 3.2 3.3 3.27 3.2]; %�����
+pf=0.2*sin(pi/4*(my-2));
+y2=(1-m)*pf.*ys;
+y=y1+y2;
+Aeq=[1 1 1 1 1 1 1 1 1];
+beq=500;
+A=[];b=[];
+vlb=[70 35 145 78 40 38 17 21 21];
+vub=[78 44 155 90 50 42 25 27 27];
+j=[64   69  77  69  73
+37  39  43  39  41
+147 148 153 150 146
+95  87  77  83  85
+44  48  42  50  44
+40  42  40  38  39
+24  25  20  17  19
+22  21  23  27  27
+27  21  25  27  26];
+qn=y*j;    %01-05��ľ�����ֵ
+[x,fval]=linprog(y,A,b,Aeq,beq,vlb,vub) %xΪ06����ŷ��䷽����fvalΪ��Ӧ�ľ�����ֵ

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第14章 真题-出版社的资源配置问题/P14-2/Ch17_gaph.m

@@ -1,3 +1,50 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:d9bd7980cbb10973f78e6ff0429d4a95918b77be437a2bafe92df75e0c234044
-size 1473
+%gagh.m  �Ŵ��㷨������
+clc
+%�����Ŵ��㷨����
+NIND=40;    %������Ŀ��Number of individuals��
+MAXGEN=200;    %����Ŵ�����(Maximum number. of generations)
+NVAR=9;    %��������
+PRECI=20;    %�����Ķ�����λ��(Precision of variables)
+GGAP=0.9;    %������Generation gap��
+trace=zeros(MAXGEN,2);    %Ѱ�Ž���ij�ʼֵ
+ 
+%��������������(Build field descriptor)
+vlb=0.5*[110 66 222 118 72 76 30 40 40];
+vub=[69 44 155 79 50 42 17 25 22];
+ub=[vlb;vub];
+FieldD=[REP([PRECI],[1,NVAR]);ub;REP([1;0;1;1],[1,NVAR])];
+ 
+Chrom=CRTBP(NIND,NVAR*PRECI);    %������ʼ��Ⱥ��2���ƣ�
+P=BS2RV(Chrom,FieldD);    %��ʼ��Ⱥ��10���ƻ�
+gen=0;                      %��������
+ObjV=objfunction(P);%�����ʼ��Ⱥ�����Ŀ�꺯��ֵ
+while gen<MAXGEN
+    
+    f=RANKING(-ObjV);    %������Ӧ��ֵ��Assign fitness values
+    FitnV=fit(f,P);
+    
+    SelCh=SELECT('SUS',Chrom,FitnV,GGAP);    %ѡ��
+    SelCh=RECOMBIN('XOVSP',SelCh,0.7);    %����
+    SelCh=MUT(SelCh);    %����  
+    P=BS2RV(SelCh,FieldD);
+    ObjVSel=objfunction(P);
+    [Chrom ObjV]=REINS(Chrom,SelCh,1,1,ObjV,ObjVSel);    %�ز����Ӵ�������Ⱥ
+    P=BS2RV(Chrom,FieldD);
+    gen=gen+1;    %������������
+    trace(gen,1)=max(ObjV);    %�Ŵ��㷨���ܸ���
+    trace(gen,2)=sum(ObjV)/length(ObjV);
+end
+for i=1:NIND
+    if ObjV(i)==max(ObjV)
+        value=P(i,:);
+        break
+    end
+end
+objvalue=max(ObjV);
+plot(trace(:,1));hold on;
+plot(trace(:,2),'-.');grid;
+legend('��ı仯','��Ⱥ��ֵ�ı仯')
+
+
+
+

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第14章 真题-出版社的资源配置问题/P14-2/fit.m

@@ -1,3 +1,10 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:00d2e36067c1b552e533c7a4bfca9a323fd92db0ca0d68aec48aa3f7f29cf33c
-size 193
+function z=fit(x,y)
+%��Ӧ�Ⱥ���
+%x--40�鰴Ŀ��ֵ�Ĵ�СԤ�������Ӧ��
+%y--40���Ա���������y1,y2...y9��
+for i=1:40
+    if abs(sum(y(i,:))-500)>5
+        x(i)=0.001*x(i);
+    end
+end
+z=x;

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第14章 真题-出版社的资源配置问题/P14-2/objfunction.m

@@ -1,3 +1,46 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:2e60a210b376b6702d07fcd5c8a789d7d7a190af2d5cdbbddb3b4efcc35cff97
-size 2604
+function y=objfunction(a)
+%�Ŵ��㷨Ŀ�꺯������
+%����Ŀ���γ̵ľ���
+jsj=[25.8 25.5 28.0 26.0 24.7 25.6 27.0 22.9 25.9 24.5];
+jg=[26.4 27.3 24.9 27.5 23.5 23.5 25.7 32.9 31.5 35.3];
+sx=[21.0 20.2 24.8 19.6 18.6 23.3 13.1 18.4 22.5 25.7];
+yy=[34.4 18.7 33.0 20.6 27.9 21.4 11.4 31.3 23.5 32.3];
+lk=[14.7 18.8 26.6 16.7 13.4 14.8 17.5 24.2];
+jn=[22.5 32.3 20.8 21.6 23.0 35.4];
+hg=[20.0 23.6 25.6 28.0 18.9 26.7];
+dl=[21.5 32.4 24.0 23.8 18.2 22.7];
+hj=[37.5 22.2 20.7 22.7 24.3 32.2];
+%���γ̵���Ÿ����ٷֱ�
+w1=[0.159090909 0.161931818 0.039772727 0.048295455 0.048295455 0.153409091 0.122159091 0.048295455 0.147727273 0.071022727];
+w2=[0.135678392 0.08040201 0.090452261 0.070351759 0.090452261 0.090452261 0.095477387 0.16080402 0.095477387 0.090452261];
+w3=[0.044354839 0.173387097 0.239247312 0.036290323 0.120967742 0.143817204 0.059139785 0.024193548 0.102150538 0.056451613];
+w4=[0.355971897 0.044496487 0.016393443 0.18969555 0.06088993 0.121779859 0.049180328 0.044496487 0.072599532 0.044496487];
+w5=[0.065789474 0.149122807 0.105263158 0.157894737 0.074561404 0.140350877 0.157894737 0.149122807];
+w6=[0.296482412 0.060301508 0.110552764 0.27638191 0.100502513 0.155778894];
+w7=[0.076190476 0.152380952 0.2 0.123809524 0.123809524 0.323809524];
+w8=[0.175 0.183333333 0.191666667 0.216666667 0.116666667 0.116666667];
+w9=[0.174603175 0.238095238 0.222222222 0.214285714 0.087301587 0.063492063];
+ 
+c1=[249.4166666 363.8375 118.3333333 238.4375 162.4166667 276.5818181 503.5486111 83.08333333 387.975 414.9375];
+c2=[1425.5 1875.75 386.6666666 1106.208333 286.4166667 544.9166667 812.9375 575.2916666 2589.9375 1356.0625];
+c3=[746.5416667 847.3785714 8609.903374 1297.5 1462.357843 2617.573864 628.4214286 498.8125 465.6760417 2863.553572];
+c4=[747.8024039 525.45 907.9166667 268.5805555 447.8583334 274.1125 59.91666667 632.3875 347.4464286 301.8333333];
+c5=[5297.5625 7532.660714 8622.2 4606.104167 16071.85416 7891.25 4104.633929 1241.875];
+c6=[681.3461539 266.875 480.25 816.175 1204.683334 1000.75];
+c7=[1038.75 863.95 406.975 162.9166667 782.0833333 427.4583333];
+c8=[226.6666667 644.875 600.125 810.5 295.1666667 1543.666666];
+c9=[593.1875 476.7916667 629.1666666 414.25 718.625 1460.75];
+ 
+for k=1:length(a)
+    s(1)=sum(a(k,1).*jsj.*w1.*c1);
+    s(2)=sum(a(k,2).*jg.*w2.*c2);
+    s(3)=sum(a(k,3).*sx.*w3.*c3);
+    s(4)=sum(a(k,4).*yy.*w4.*c4);
+    s(5)=sum(a(k,5).*lk.*w5.*c5);
+    s(6)=sum(a(k,6).*jn.*w6.*c6);
+    s(7)=sum(a(k,7).*hg.*w7.*c7);
+    s(8)=sum(a(k,8).*dl.*w8.*c8);
+    s(9)=sum(a(k,9).*hj.*w9.*c9);
+    zc(k)=sum(s);
+end
+y=zc';

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第14章 真题-出版社的资源配置问题/说明.txt

@@ -1,3 +1,9 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:d42e22171d7fd7e61b8aa4c645be12d870032d2d8b959d10e08ff493259ddca7
-size 225
+P14-1
+����ҳ�룺254
+��������������-������Ķ���Դ��������-���滮ģ��
+�����ļ���Ch17_lin.m
+
+P14-2
+����ҳ�룺256
+��������������-������Ķ���Դ��������-�Ŵ��㷨������
+�����ļ���Ch17_gaph.m�������� fit.m objfunction.m

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第15章 真题-城市供水量预测/P15-1/Trend.m

@@ -1,3 +1,54 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:05ca4930c86987d88f260e5a6790f1039ecdcd9b81a6198849f3f23712464206
-size 1547
+clc
+clear;close;
+%��D���������
+y1=load('data.txt');
+%����MATLAB������ֽ��ź�
+%С����һά�ֽ�
+[c,l]=wavedec(y1,10,'db5');
+%�ع���1~7��ƽ��ź�
+a10=wrcoef('a',c,l,'db5',10);
+a9=wrcoef('a',c,l,'db5',9);
+a8=wrcoef('a',c,l,'db5',8);
+a7=wrcoef('a',c,l,'db5',7);
+a6=wrcoef('a',c,l,'db5',6);
+a5=wrcoef('a',c,l,'db5',5);
+a4=wrcoef('a',c,l,'db5',4);
+a3=wrcoef('a',c,l,'db5',3);
+a2=wrcoef('a',c,l,'db5',2);
+a1=wrcoef('a',c,l,'db5',1);
+%�ع���1~7��ϸ���ź�
+d10=wrcoef('d',c,l,'db5',10);
+d9=wrcoef('d',c,l,'db5',9);
+d8=wrcoef('d',c,l,'db5',8);
+d7=wrcoef('d',c,l,'db5',7);
+d6=wrcoef('d',c,l,'db5',6);
+d5=wrcoef('d',c,l,'db5',5);
+d4=wrcoef('d',c,l,'db5',4);
+d3=wrcoef('d',c,l,'db5',3);
+d2=wrcoef('d',c,l,'db5',2);
+d1=wrcoef('d',c,l,'db5',1);
+figure;
+subplot(4,1,1);
+plot(y1,'LineWidth',2);
+axis tight;
+xlabel('2000��1��1�յ�2006��12��31��ʱ������','fontsize',11);
+ylabel('ʵ���չ�ˮ��/��','fontsize',11);
+title('ͼ��a��','fontsize',11);
+subplot(4,1,2);
+plot(d5,'LineWidth',2.5);
+axis tight;
+xlabel('2000��1��1�յ�2006��12��31��ʱ������','fontsize',11);
+ylabel('�չ�ˮ����������','fontsize',11);
+title('ͼ��b��','fontsize',11);
+subplot(4,1,3);
+plot(d8,'LineWidth',4.5);
+axis tight;
+xlabel('2000��1��1�յ�2006��12��31��ʱ������','fontsize',11);
+ylabel('�չ�ˮ���ߵͷ�','fontsize',11);
+title('ͼ��c��','fontsize',11);
+subplot(4,1,4);
+plot(a10,'LineWidth',4.5);
+axis tight;
+xlabel('2000��1��1�յ�2006��12��31��ʱ������','fontsize',11);
+ylabel('��ȹ�ˮ������','fontsize',11);
+title('ͼ��d��','fontsize',11);

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第15章 真题-城市供水量预测/P15-1/data.txt

@@ -1,3 +1,2557 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9cfc5b670aafec6cb14d657b1ee23b376d7b615646c8c2c797950c87fff86b31
-size 24598
+1221790
+1282410
+1241980
+1265880
+1301360
+1298670
+1273770
+1300620
+1301750
+1318300
+1327550
+1356910
+1329360
+1312580
+1330460
+1316710
+1293410
+1303150
+1304690
+1301800
+1286760
+1303180
+1302230
+1285860
+1297670
+1302460
+1304330
+1297080
+1315840
+1307490
+1325940
+1311260
+1302460
+1286620
+1254840
+1334820
+1316070
+1300180
+1312700
+1322690
+1324290
+1301220
+1329480
+1344410
+1316200
+1298770
+1292840
+1291300
+1257040
+1161510
+1131040
+1158920
+1170040
+1180570
+1185130
+1168810
+1219190
+1250270
+1247470
+1268050
+1272450
+1259330
+1253240
+1253970
+1251260
+1268620
+1271920
+1301350
+1271750
+1267570
+1283680
+1267290
+1270150
+1253520
+1287010
+1262660
+1267490
+1265480
+1252990
+1239940
+1282130
+1291390
+1238910
+1216360
+1294160
+1272960
+1268830
+1265110
+1251390
+1243140
+1251390
+1242310
+1256230
+1236740
+1238780
+1261270
+1264870
+1243760
+1269990
+1255340
+1263390
+1258020
+1254570
+1220710
+1214410
+1232470
+1247210
+1261450
+1266820
+1270970
+1267860
+1244790
+1284790
+1302930
+1273300
+1282350
+1306470
+1294990
+1249010
+1234530
+1254540
+1172680
+1238920
+1244000
+1245930
+1201170
+1251330
+1277060
+1279400
+1289310
+1288860
+1268640
+1260690
+1294670
+1308980
+1312510
+1338540
+1346500
+1304270
+1285700
+1315690
+1321780
+1337360
+1333750
+1346180
+1319540
+1300040
+1344220
+1353050
+1367000
+1392320
+1400620
+1353070
+1357470
+1386980
+1387880
+1393490
+1363730
+1373140
+1364070
+1340880
+1381950
+1398110
+1424930
+1369470
+1386070
+1289340
+1280600
+1373160
+1382780
+1348520
+1355420
+1385120
+1371400
+1308540
+1364100
+1421960
+1428830
+1374770
+1382410
+1380770
+1375140
+1389350
+1430150
+1376240
+1343160
+1382030
+1419240
+1458990
+1441210
+1404560
+1361710
+1352080
+1418020
+1392680
+1422600
+1446730
+1450670
+1423390
+1418770
+1452850
+1405290
+1387790
+1335620
+1365070
+1290340
+1294870
+1322480
+1384950
+1377340
+1377920
+1377340
+1347850
+1414340
+1407270
+1444060
+1433090
+1449780
+1413460
+1398150
+1397690
+1361020
+1337180
+1373080
+1384850
+1348920
+1351300
+1395630
+1408580
+1400660
+1412360
+1413580
+1389050
+1392710
+1449330
+1505050
+1451320
+1466090
+1468760
+1463430
+1445660
+1447270
+1417240
+1382140
+1354700
+1296140
+1356430
+1378910
+1342790
+1366290
+1351270
+1342690
+1379320
+1393930
+1386180
+1355690
+1310260
+1355190
+1311200
+1352020
+1342550
+1348040
+1341230
+1349110
+1331380
+1331960
+1363610
+1368990
+1352840
+1340260
+1349930
+1324540
+1275970
+1234450
+1178120
+1209300
+1286030
+1324090
+1239070
+1276400
+1302240
+1295370
+1289400
+1299450
+1296550
+1279070
+1249460
+1245600
+1262890
+1258450
+1260380
+1267000
+1258040
+1225490
+1271680
+1255990
+1265660
+1272400
+1252120
+1252400
+1237060
+1254900
+1240840
+1237930
+1218570
+1238670
+1232980
+1184380
+1215180
+1240660
+1223590
+1237910
+1232530
+1240850
+1191360
+1243020
+1259010
+1263350
+1253600
+1277250
+1244680
+1244250
+1270370
+1245430
+1268580
+1263440
+1289710
+1271290
+1269600
+1298770
+1279670
+1281270
+1299300
+1302170
+1273210
+1271440
+1289620
+1284440
+1253620
+1311410
+1314080
+1314640
+1291700
+1302870
+1316980
+1304220
+1294610
+1305710
+1285190
+1245090
+1277730
+1283480
+1277630
+1278410
+1289280
+1233870
+1250330
+1269810
+1262770
+1259050
+1264390
+1292870
+1259340
+1241520
+1256170
+1235060
+1224777.6
+1270069.2
+1280584.8
+1310641.2
+1282716.9
+1319987.25
+1342115.55
+1353800.7
+1359700.2
+1378040.4
+1372140.9
+1353780
+1367617.95
+1360290.15
+1378402.65
+1377284.85
+1401762.6
+1376901.9
+1370505.6
+1387169.1
+1362391.2
+1366862.4
+1387624.5
+1361056.05
+1351130.4
+1347156
+1376694.9
+1369760.4
+1356605.55
+1357992.45
+1354690.8
+1409598.9
+1407887.6
+1410874.2
+1425927.1
+1445176.5
+1381149.9
+1246785.6
+1221628.4
+1228876.9
+1252704.3
+1275398.1
+1310834
+1330900.9
+1341354
+1328372.1
+1337735.2
+1365693.7
+1354989.9
+1328350.3
+1366216.9
+1355164.3
+1341528.4
+1352210.4
+1375547.3
+1360908.6
+1364254.9
+1358227.2
+1396388.1
+1247910
+1239530
+1291610
+1279950
+1268920
+1279560
+1275060
+1246860
+1232210
+1255090
+1250580
+1237420
+1233720
+1275340
+1260230
+1237660
+1260590
+1245440
+1265550
+1264950
+1265130
+1238770
+1231300
+1249470
+1253760
+1237930
+1246390
+1263570
+1236940
+1222950
+1233780
+1297965.6
+1290837.6
+1308754.8
+1326790.8
+1302015.6
+1305050.4
+1329382.8
+1305547.2
+1325365.2
+1334361.6
+1355292
+1337245.2
+1328162.4
+1345669.2
+1328842.8
+1331143.2
+1329728.4
+1339794
+1316044.8
+1299801.6
+1322298
+1321574.4
+1314705.6
+1323334.8
+1356728.4
+1343930.4
+1342677.6
+1360195.2
+1346230.8
+1355778
+1178720
+1168710
+1183760
+1220860
+1233520
+1187850
+1206540
+1227880
+1242010
+1203300
+1207710
+1182760
+1226020
+1258900
+1246900
+1273630
+1249410
+1229260
+1262980
+1264050
+1258340
+1289710
+1268510
+1244290
+1250150
+1247190
+1232920
+1238410
+1242750
+1279530
+1229640
+1234300
+1256390
+1220410
+1241370
+1252680
+1260900
+1241290
+1244410
+1290060
+1299430
+1334160
+1410150
+1385670
+1338710
+1329710
+1370440
+1387180
+1381840
+1327040
+1366890
+1380480
+1361840
+1385270
+1404090
+1357470
+1343600
+1358490
+1382080
+1358290
+1321730
+1295860
+1370480
+1331200
+1319330
+1335420
+1344950
+1402740
+1394560
+1428770
+1444700
+1446140
+1436430
+1439780
+1466160
+1499480
+1458320
+1449750
+1463510
+1392090
+1393990
+1391830
+1488350
+1468250
+1489230
+1496120
+1483420
+1444740
+1489060
+1451210
+1478930
+1458740
+1403440
+1404180
+1414820
+1438970
+1461050
+1494310
+1447440
+1477150
+1429340
+1426160
+1470420
+1472770
+1492840
+1476940
+1462770
+1375650
+1396590
+1438030
+1445090
+1378690
+1416560
+1418680
+1421090
+1430940
+1458320
+1473340
+1456350
+1439120
+1441440
+1425710
+1461420
+1431260
+1382640
+1390630
+1395990
+1407450
+1376570
+1379440
+1421150
+1391630
+1363480
+1356780
+1346820
+1346960
+1337480
+1354010
+1333100
+1339430
+1351150
+1335930
+1319890
+1320170
+1334430
+1354820
+1311870
+1322200
+1333160
+1293710
+1284970
+1292380
+1289110
+1201970
+1196680
+1163640
+1204310
+1282950
+1279090
+1283820
+1280670
+1290350
+1304010
+1265480
+1255570
+1294550
+1285290
+1274460
+1277300
+1276950
+1277830
+1268500
+1312580
+1285940
+1282230
+1271380
+1248350
+1243390
+1239950
+1268400
+1258210
+1262290
+1256220
+1255900
+1336280.2
+1308663.5
+1343727.4
+1341801.4
+1323804
+1338131.3
+1345236.1
+1322477.2
+1309219.9
+1342454.1
+1330502.2
+1334300.7
+1339821.9
+1350243.7
+1322659.1
+1308535.1
+1340752.8
+1363490.3
+1372863.5
+1357690.9
+1375613.4
+1332438.9
+1318935.5
+1343502.7
+1336494.2
+1351153.2
+1346916
+1347964.6
+1331368.9
+1316859.7
+1259530
+1276370
+1260410
+1254310
+1263630
+1239420
+1235860
+1253170
+1260580
+1264090
+1261740
+1277470
+1250110
+1242310
+1253420
+1242610
+1233930
+1240450
+1240300
+1226740
+1217890
+1235100
+1235990
+1215790
+1210410
+1222940
+1205090
+1195510
+1213950
+1214080
+1207150
+1302579.2
+1324042.24
+1337937.92
+1381181.44
+1379235.84
+1429176.32
+1384325.12
+1384888.32
+1379553.28
+1358940.16
+1346775.04
+1366282.24
+1377157.12
+1370828.8
+1396572.16
+1396152.32
+1384069.12
+1401753.6
+1433538.56
+1446799.36
+1439303.68
+1442232.32
+1449256.96
+1440921.6
+1437132.8
+1453230.08
+1435105.28
+1313812.48
+1297152
+1338306.56
+1341624.32
+1341714.75
+1362645.25
+1392411.25
+1410389.75
+1402979
+1405439
+1378686.5
+1381515.5
+1396070.5
+1391857.75
+1389961.5
+1389674.5
+1395998.75
+1379988.25
+1387245.25
+1408093.75
+1408831.75
+1383381
+1378922.25
+1411199.5
+1380326.5
+1363875.25
+1370261
+1400549.75
+1382376.5
+1356587.5
+1371388.5
+1386333
+1331960
+1347020
+1346520
+1338070
+1339160
+1394570
+1336230
+1324320
+1342440
+1333280
+1342380
+1354970
+1370270
+1337160
+1331810
+1357830
+1350690
+1315910
+1334310
+1350740
+1323760
+1337810
+1348670
+1347530
+1343910
+1338250
+1336650
+1335710
+1314480
+1322150
+1318400
+1309920
+1317900
+1335750
+1296080
+1297440
+1327770
+1322530
+1345190
+1344210
+1357590
+1297440
+1314290
+1328210
+1338700
+1354540
+1324430
+1374870
+1361170
+1351900
+1411060
+1421090
+1351310
+1324260
+1363820
+1330490
+1326470
+1325960
+1301640
+1326100
+1309050
+1236880
+1280890
+1312950
+1345670
+1364010
+1348720
+1343710
+1338470
+1317330
+1295210
+1326860
+1349540
+1366670
+1388930
+1391720
+1333880
+1359550
+1408420
+1439590
+1370080
+1357130
+1366120
+1319000
+1318260
+1372450
+1387070
+1364760
+1348800
+1366290
+1343840
+1350240
+1358670
+1302860
+1340760
+1326200
+1360330
+1342490
+1281250
+1361950
+1374170
+1393370
+1392960
+1361130
+1368770
+1376020
+1428260
+1453570
+1372190
+1366270
+1413970
+1406740
+1395280
+1420340
+1414530
+1422960
+1419740
+1440340
+1473290
+1485500
+1503170
+1411890
+1408970
+1510180
+1482850
+1446150
+1437640
+1455450
+1456830
+1450640
+1453800
+1449500
+1438700
+1400210
+1466910
+1485910
+1489610
+1488360
+1441840
+1433180
+1434430
+1488450
+1502230
+1486050
+1451670
+1480240
+1469830
+1460090
+1493370
+1480450
+1494300
+1490660
+1476050
+1445610
+1436860
+1483280
+1464830
+1500100
+1526010
+1457010
+1468970
+1464250
+1488080
+1512690
+1528320
+1543180
+1500090
+1469830
+1455470
+1471180
+1499470
+1502070
+1485270
+1485280
+1384980
+1456220
+1462580
+1495920
+1479840
+1471000
+1485140
+1448190
+1453180
+1468850
+1481130
+1496780
+1498680
+1501300
+1490240
+1473860
+1524820
+1508120
+1514840
+1524810
+1533480
+1485390
+1484260
+1456680
+1477230
+1478910
+1449470
+1491210
+1436700
+1399200
+1459060
+1458540
+1446000
+1450300
+1466850
+1442260
+1435280
+1447890
+1454440
+1443450
+1354370
+1332170
+1349890
+1369970
+1392250
+1413230
+1425960
+1403600
+1428400
+1384210
+1370420
+1407240
+1369740
+1401540
+1400670
+1412550
+1392980
+1387260
+1414410
+1435290
+1411560
+1406750
+1409150
+1355510
+1335650
+1391290
+1390040
+1391370
+1391630
+1375710
+1355910
+1341040
+1373510
+1374380
+1369690
+1370980
+1371730
+1353960
+1357450
+1372240
+1382170
+1389140
+1365260
+1376790
+1361570
+1281610
+1367000
+1367530
+1380670
+1392160
+1402920
+1372290
+1363710
+1393430
+1400750
+1405300
+1379390
+1405890
+1374730
+1350890
+1371590
+1356100
+1371020
+1374300
+1382450
+1374310
+1348560
+1383370
+1372690
+1366850
+1365910
+1369030
+1345900
+1345160
+1358730
+1354360
+1349060
+1350130
+1355240
+1336760
+1321450
+1337960
+1331890
+1332570
+1321580
+1333740
+1305350
+1298050
+1316300
+1315520
+1310880
+100001.215
+1331466.85
+1392996.15
+1351959.7
+1376218.2
+1412230.4
+1409500.05
+1384226.55
+1411479.3
+1412626.25
+1429424.5
+1438813.25
+1468613.65
+1440650.4
+1423618.7
+1441766.9
+1427810.65
+1404161.15
+1414047.25
+1415610.35
+1412677
+1397411.4
+1414077.7
+1413113.45
+1396497.9
+1408485.05
+1413346.9
+1415244.95
+1407886.2
+1426927.6
+1418452.35
+1437179.1
+1468520.48
+1459298.08
+1442697.76
+1409392.32
+1493211.36
+1473561.36
+1456908.64
+1470029.6
+1480499.12
+1482175.92
+1457998.56
+1487615.04
+1503261.68
+1473697.6
+1455430.96
+1449216.32
+1447602.4
+1411697.92
+1311582.48
+1279649.92
+1308868.16
+1320521.92
+1331557.36
+1336336.24
+1319232.88
+1372031.12
+1404602.96
+1401668.56
+1362450
+1349330
+1343240
+1343970
+1341260
+1358620
+1361920
+1391350
+1361750
+1357570
+1373680
+1357290
+1360150
+1343520
+1377010
+1352660
+1357490
+1355480
+1342990
+1329940
+1372130
+1381390
+1328910
+1306360
+1384160
+1362960
+1358830
+1355110
+1341390
+1333140
+1341390
+1332310
+1346230
+1326740
+1328780
+1351270
+1354870
+1333760
+1359990
+1345340
+1353390
+1348020
+1344570
+1310710
+1304410
+1322470
+1337210
+1351450
+1356820
+1360970
+1357860
+1334790
+1374790
+1392930
+1363300
+1372350
+1396470
+1384990
+1339010
+1324530
+1344540
+1262680
+1328920
+1334000
+1335930
+1291170
+1341330
+1367060
+1369400
+1379310
+1378860
+1358640
+1350690
+1384670
+1398980
+1402510
+1428540
+1436500
+1394270
+1375700
+1405690
+1411780
+1427360
+1423750
+1436180
+1409540
+1390040
+1434220
+1443050
+1457000
+1482320
+1490620
+1443070
+1447470
+1476980
+1477880
+1483490
+1453730
+1463140
+1454070
+1430880
+1471950
+1488110
+1514930
+1459470
+1476070
+1379340
+1370600
+1463160
+1472780
+1438520
+1445420
+1475120
+1461400
+1398540
+1454100
+1511960
+1518830
+1464770
+1472410
+1470770
+1465140
+1479350
+1520150
+1466240
+1433160
+1472030
+1509240
+1548990
+1531210
+1494560
+1451710
+1442080
+1508020
+1482680
+1512600
+1536730
+1540670
+1513390
+1508770
+1542850
+1495290
+1477790
+1425620
+1455070
+1380340
+1384870
+1412480
+1474950
+1467340
+1467920
+1467340
+1437850
+1504340
+1497270
+1534060
+1523090
+1539780
+1503460
+1488150
+1487690
+1451020
+1427180
+1463080
+1474850
+1438920
+1441300
+1485630
+1498580
+1490660
+1502360
+1503580
+1479050
+1482710
+1539330
+1595050
+1541320
+1556090
+1558760
+1553430
+1535660
+1537270
+1507240
+1472140
+1444700
+1386140
+1446430
+1468910
+1432790
+1456290
+1441270
+1432690
+1469320
+1483930
+1476180
+1445690
+1400260
+1445190
+1401200
+1442020
+1432550
+1438040
+1431230
+1439110
+1421380
+1421960
+1453610
+1458990
+1442840
+1430260
+1439930
+1414540
+1365970
+1324450
+1268120
+1299300
+1376030
+1414090
+1329070
+1366400
+1392240
+1385370
+1379400
+1389450
+1386550
+1369070
+1339460
+1335600
+1352890
+1348450
+1350380
+1357000
+1348040
+1315490
+1361680
+1345990
+1355660
+1362400
+1342120
+1342400
+1327060
+1344900
+1330840
+1327930
+1308570
+1344614.04
+1338855.76
+1289672.56
+1320842.16
+1346627.92
+1329353.08
+1343844.92
+1338400.36
+1346820.2
+1296736.32
+1349016.24
+1365198.12
+1369590.2
+1359723.2
+1383657
+1350696.16
+1350261
+1376694.44
+1351455.16
+1374882.96
+1369681.28
+1396266.52
+1377625.48
+1375915.2
+1405435.24
+1386106.04
+1387725.24
+1405971.6
+1408876.04
+1379568.52
+1361440
+1379620
+1374440
+1343620
+1401410
+1404080
+1404640
+1381700
+1392870
+1406980
+1394220
+1384610
+1395710
+1375190
+1335090
+1367730
+1373480
+1367630
+1368410
+1379280
+1323870
+1340330
+1359810
+1352770
+1349050
+1354390
+1382870
+1349340
+1331520
+1346170
+1325060
+1306987.2
+1351622.4
+1361985.6
+1391606.4
+1364086.8
+1400817
+1422624.6
+1434140.4
+1439954.4
+1458028.8
+1452214.8
+1434120
+1447757.4
+1440535.8
+1458385.8
+1457284.2
+1481407.2
+1456906.8
+1450603.2
+1467025.2
+1442606.4
+1447012.8
+1467474
+1441290.6
+1431508.8
+1427592
+1456702.8
+1449868.8
+1436904.6
+1438271.4
+1435017.6
+1488594.7
+1486914.8
+1489846.6
+1504623.3
+1523519.5
+1460667.7
+1328768.8
+1304073.2
+1311188.7
+1334578.9
+1356856.3
+1391642
+1411340.7
+1421602
+1408858.3
+1418049.6
+1445495.1
+1434987.7
+1408836.9
+1446008.7
+1435158.9
+1421773.2
+1432259.2
+1455167.9
+1440797.8
+1444082.7
+1438165.6
+1475626.3
+1440123.7
+1431157.1
+1486882.7
+1474406.5
+1462604.4
+1473989.2
+1469174.2
+1439000.2
+1423324.7
+1447806.3
+1442980.6
+1428899.4
+1424940.4
+1469473.8
+1453306.1
+1429156.2
+1453691.3
+1437480.8
+1458998.5
+1458356.5
+1458549.1
+1430343.9
+1422351
+1441792.9
+1446383.2
+1429445.1
+1438497.3
+1456879.9
+1428385.8
+1413416.5
+1425004.6
+1390807.4
+1383745.4
+1401496.7
+1419365.7
+1394819.9
+1397826.6
+1421933.7
+1398318.8
+1417953.3
+1426866.4
+1447603
+1429723.3
+1420724.6
+1438069.3
+1421398.7
+1423677.8
+1422276.1
+1432248.5
+1408719.2
+1392626.4
+1414914.5
+1414197.6
+1407392.4
+1415941.7
+1449026.1
+1436346.6
+1435105.4
+1452460.8
+1438625.7
+1448084.5
+1366090.4
+1266710
+1281760
+1318860
+1331520
+1285850
+1304540
+1325880
+1340010
+1301300
+1305710
+1280760
+1324020
+1356900
+1344900
+1371630
+1347410
+1327260
+1360980
+1362050
+1356340
+1387710
+1366510
+1342290
+1348150
+1345190
+1330920
+1336410
+1340750
+1377530
+1327640
+1332300
+1354390
+1318410
+1339370
+1350680
+1358900
+1339290
+1342410
+1388060
+1397430
+1432160
+1508150
+1483670
+1436710
+1427710
+1468440
+1485180
+1479840
+1425040
+1464890
+1478480
+1459840
+1483270
+1502090
+1455470
+1441600
+1456490
+1480080
+1456290
+1419730
+1393860
+1468480
+1429200
+1417330
+1433420
+1442950
+1500740
+1492560
+1526770
+1542700
+1544140
+1534430
+1537780
+1564160
+1597480
+1556320
+1547750
+1561510
+1490090
+1491990
+1489830
+1586350
+1566250
+1587230
+1594120
+1581420
+1542740
+1587060
+1549210
+1576930
+1556740
+1501440
+1502180
+1512820
+1536970
+1559050
+1592310
+1545440
+1575150
+1527340
+1524160
+1568420
+1570770
+1590840
+1574940
+1560770
+1473650
+1494590
+1536030
+1543090
+1476690
+1514560
+1516680
+1519090
+1528940
+1556320
+1571340
+1554350
+1537120
+1539440
+1523710
+1559420
+1529260
+1480640
+1488630
+1493990
+1505450
+1474570
+1477440
+1519150
+1489630
+1461480
+1454780
+1444820
+1444960
+1435480
+1452010
+1431100
+1437430
+1449150
+1433930
+1417890
+1418170
+1432430
+1452820
+1409870
+1420200
+1431160
+1391710
+1382970
+1390380
+1387110
+1299970
+1294680
+1261640
+1302310
+1380950
+1377090
+1381820
+1378670
+1388350
+1402010
+1363480
+1353570
+1392550
+1383290
+1372460
+1375300
+1374950
+1375830
+1366500
+1410580
+1383940
+1380230
+1369380
+1346350
+1341390
+1337950
+1366400
+1356210
+1360290
+1354220
+1353900
+1346860
+1387102.5
+1421511
+1419621
+1401960
+1416019.5
+1422991.5
+1400658
+1387648.5
+1420261.5
+1408533
+1412260.5
+1417678.5
+1427905.5
+1400836.5
+1386976.5
+1418592
+1440904.5
+1450102.5
+1435213.5
+1452801
+1410433.5
+1397182.5
+1421290.5
+1414413
+1428798
+1424640
+1425669
+1409383.5
+1395145.5
+1425406.5
+1443088.5
+1426330.5
+1419925.5
+1429711.5
+1404291
+1400553
+1418728.5
+1426509
+1430194.5
+1427727
+1444243.5
+1415515.5
+1407325.5
+1418991
+1407640.5
+1398526.5
+1405372.5
+1405215
+1390977
+1381684.5
+1399755
+1400689.5
+1379479.5
+1373830.5
+1386987
+1368244.5
+1358185.5
+1377547.5
+1377684
+1370407.5
+1307302.5
+1391050.08
+1404728.64
+1447296.48
+1445381.28
+1494541.44
+1450391.04
+1450945.44
+1445693.76
+1425402.72
+1413427.68
+1432630.08
+1443335.04
+1437105.6
+1462446.72
+1462033.44
+1450139.04
+1467547.2
+1498835.52
+1511889.12
+1504510.56
+1507393.44
+1514308.32
+1506103.2
+1502373.6
+1518219.36
+1500377.76
+1380980.16
+1364580
+1405091.52
+1408357.44
+1407157.92
+1487230.5
+1517722.5
+1536139.5
+1528548
+1531068
+1503663
+1506561
+1521471
+1517155.5
+1515213
+1514919
+1521397.5
+1504996.5
+1512430.5
+1533787.5
+1534543.5
+1508472
+1503904.5
+1536969
+1505343
+1488490.5
+1495032
+1526059.5
+1507443
+1481025
+1496187
+1511496
+1489908
+1505721
+1505196
+1496323.5
+1497468
+1555648.5
+1494391.5
+1481886
+1500912
+1491294
+1500849
+1514068.5
+1530133.5
+1495368
+1489750.5
+1517071.5
+1509574.5
+1473055.5
+1492375.5
+1509627
+1481298
+1496050.5
+1507453.5
+1506256.5
+1502455.5
+1496512.5
+1494832.5
+1493845.5
+1471554
+1479607.5
+1475670
+1466766
+1475145
+1493887.5
+1452234
+1453662
+1485508.5
+1480006.5
+1503799.5
+1502770.5
+1516819.5
+1453662
+1471354.5
+1485970.5
+1496985
+1513617
+1482001.5
+1534963.5
+1520578.5
+1510845
+1572963
+1583494.5
+1510225.5
+1481823
+1523361
+1488364.5
+1484143.5
+1483608
+1458072
+1483755
+1465852.5
+1390074
+1367890
+1399950
+1432670
+1451010
+1435720
+1430710
+1425470
+1404330
+1382210
+1413860
+1436540
+1453670
+1475930
+1478720
+1420880
+1446550
+1495420
+1526590
+1457080
+1444130
+1453120
+1406000
+1405260
+1459450
+1474070
+1451760
+1435800
+1453290
+1430840
+1437240
+1445670
+1389860
+1427760
+1413200
+1447330
+1429490
+1368250
+1448950
+1461170
+1480370
+1479960
+1448130
+1455770
+1463020
+1515260
+1540570
+1459190
+1453270
+1500970
+1493740
+1482280
+1507340
+1501530
+1509960
+1506740
+1527340
+1560290
+1572500
+1590170
+1498890
+1495970
+1597180
+1569850
+1533150
+1524640
+1542450
+1543830
+1537640
+1540800
+1536500
+1525700
+1487210
+1553910
+1572910
+1576610
+1575360
+1528840
+1520180
+1521430
+1575450
+1589230
+1573050
+1538670
+1567240
+1556830
+1547090
+1580370
+1567450
+1581300
+1577660
+1563050
+1532610
+1523860
+1570280
+1551830
+1587100
+1613010
+1544010
+1555970
+1551250
+1575080
+1599690
+1615320
+1630180
+1587090
+1556830
+1542470
+1558180
+1586470
+1589070
+1572270
+1572280
+1471980
+1543220
+1549580
+1582920
+1566840
+1558000
+1572140
+1535190
+1540180
+1555850
+1568130
+1583780
+1585680
+1588300
+1577240
+1560860
+1611820
+1595120
+1601840
+1611810
+1620480
+1572390
+1571260
+1543680
+1564230
+1565910
+1536470
+1578210
+1523700
+1486200
+1546060
+1545540
+1533000
+1537300
+1553850
+1529260
+1522280
+1534890
+1541440
+1530450
+1441370
+1419170
+1436890
+1456970
+1479250
+1500230
+1512960
+1490600
+1515400
+1471210
+1457420
+1494240
+1456740
+1488540
+1487670
+1499550
+1479980
+1474260
+1501410
+1522290
+1498560
+1493750
+1496150
+1442510
+1422650
+1478290
+1477040
+1478370
+1478630
+1462710
+1442910
+1428040
+1460510
+1461380
+1456690
+1457980
+1458730
+1440960
+1444450
+1459240
+1469170
+1476140
+1452260
+1463790
+1448570
+1368610
+1454000
+1454530
+1467670
+1479160
+1489920
+1459290
+1450710
+1480430
+1487750
+1492300
+1466390
+1492890
+1461730
+1437890
+1458590
+1443100
+1458020
+1461300
+1469450
+1461310
+1435560
+1470370
+1459690
+1453850
+1452910
+1456030
+1432900
+1432160
+1445730
+1441360
+1436060
+1437130
+1442240
+1423760
+1408450
+1424960
+1418890
+1419570
+1408580
+1420740
+1392350
+1385050
+1403300
+1402520
+1397880
+187001.215
+1408790
+1436961.729
+1397505.082
+1420829.689
+1455455.508
+1452830.27
+1428529.737
+1454733.324
+1455836.119
+1471987.678
+1481014.984
+1509668.142
+1482781.408
+1466405.387
+1483854.926
+1470435.957
+1447696.904
+1457202.414
+1458705.338
+1455884.915
+1441207.003
+1457231.692
+1456304.563
+1440328.671
+1451854.345
+1456529.026
+1458354.005
+1451278.549
+1469586.902
+1461437.928
+1479443.745
+1465117.166
+1537233.8
+1520918.6
+1488185.2
+1570564.6
+1551252.1
+1534885.4
+1547781
+1558070.7
+1559718.7
+1535956.6
+1565064.4
+1580442.3
+1551386
+1533433.1
+1527325.2
+1525739
+1490451.2
+1392055.3
+1360671.2
+1389387.6
+1400841.2
+1411687.1
+1416383.9
+1399574.3
+1451465.7
+1483478.1
+1480594.1
+1501791.5
+1506323.5
+1492809.9
+1486537.2
+1487289.1
+1484497.8
+1502378.6
+1505777.6
+1536090.5
+1505602.5
+1501297.1
+1517890.4
+1501008.7
+1503954.5
+1486825.6
+1521320.3
+1496239.8
+1501214.7
+1499144.4
+1486279.7
+1472838.2
+1516293.9
+1525831.7
+1471777.3
+1448550.8
+1528684.8
+1506848.8
+1502594.9
+1498763.3
+1484631.7
+1476134.2
+1484631.7
+1475279.3
+1489616.9
+1469542.2
+1471643.4
+1494808.1
+1498516.1
+1476772.8
+1503789.7
+1488700.2
+1496991.7
+1491460.6
+1487907.1
+1453031.3
+1446542.3
+1465144.1
+1480326.3
+1494993.5
+1500524.6
+1504799.1
+1501595.8
+1477833.7
+1519033.7
+1537717.9
+1507199
+1516520.5
+1541364.1
+1529539.7
+1482180.3
+1467265.9
+1487876.2
+1403560.4
+1428920
+1434000
+1435930
+1391170
+1441330
+1467060
+1469400
+1479310
+1478860
+1458640
+1450690
+1484670
+1498980
+1502510
+1528540
+1536500
+1494270
+1475700
+1505690
+1511780
+1527360
+1523750
+1536180
+1509540
+1490040
+1534220
+1543050
+1557000
+1582320
+1590620
+1543070
+1547470
+1576980
+1577880
+1583490
+1553730
+1563140
+1554070
+1530880
+1571950
+1588110
+1614930
+1559470
+1576070
+1479340
+1470600
+1563160
+1572780
+1538520
+1545420
+1575120
+1561400
+1498540
+1554100
+1611960
+1618830
+1564770
+1572410
+1570770
+1565140
+1579350
+1620150
+1566240
+1533160
+1572030
+1609240
+1648990
+1631210
+1594560
+1551710
+1542080
+1608020
+1582680
+1612600
+1636730
+1640670
+1613390
+1608770
+1642850
+1595290
+1577790
+1525620
+1555070
+1480340
+1484870
+1512480
+1574950
+1567340
+1567920
+1567340
+1537850
+1604340
+1597270
+1634060
+1623090
+1639780
+1603460
+1588150
+1587690
+1551020
+1527180
+1563080
+1574850
+1538920
+1541300
+1585630
+1598580
+1590660
+1602360
+1603580
+1579050
+1582710
+1639330
+1695050
+1641320
+1656090
+1658760
+1653430
+1635660
+1637270
+1607240
+1572140
+1544700
+1545585.6
+1608287.2
+1631666.4
+1594101.6
+1618541.6
+1602920.8
+1593997.6
+1632092.8
+1647287.2
+1639227.2
+1607517.6
+1560270.4
+1606997.6
+1561248
+1603700.8
+1593852
+1599561.6
+1592479.2
+1600674.4
+1582235.2
+1582838.4
+1615754.4
+1621349.6
+1604553.6
+1591470.4
+1601527.2
+1575121.6
+1524608.8
+1481428
+1422844.8
+1455272
+1535071.2
+1574653.6
+1486232.8
+1525056
+1551929.6
+1544784.8
+1538576
+1549028
+1546012
+1527832.8
+1497038.4
+1493024
+1511005.6
+1506388
+1508395.2
+1515280
+1505961.6
+1472109.6
+1520147.2
+1503829.6
+1513886.4
+1520896
+1499804.8
+1500096
+1484142.4
+1502696
+1488073.6
+1485047.2
+1464912.8
+1485816.8
+1479899.2
+1429355.2
+1461387.2
+1487886.4
+1470133.6
+1485026.4
+1479431.2
+1488084
+1436614.4
+1490340.8
+1506970.4
+1511484
+1501344
+1525940
+1492067.2
+1491620
+1518784.8
+1492847.2
+1516923.2
+1511577.6
+1538898.4
+1519741.6
+1517984
+1548320.8
+1528456.8
+1530120.8
+1548872
+1551856.8
+1521738.4
+1519897.6
+1538804.8
+1533417.6
+1501364.8
+1561466.4
+1564243.2
+1564825.6
+1540968
+1552584.8
+1567259.2
+1553988.8
+1543994.4
+1555538.4
+1534197.6
+1492493.6
+1526439.2
+1532419.2
+1526335.2
+1527146.4
+1538451.2
+1480824.8
+1497943.2
+1518202.4
+1510880.8
+1507012
+1512565.6
+1542184.8
+1507313.6
+1488780.8
+1504016.8
+1482062.4

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第15章 真题-城市供水量预测/P15-2/data1.txt

@@ -1,3 +1,2557 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1270b9f33f0ccb7ddada2c2a5bee389f659435d20b2cf9ba1d58fec9ed89ad11
-size 47613
+20000101	1221790
+20000102	1282410
+20000103	1241980
+20000104	1265880
+20000105	1301360
+20000106	1298670
+20000107	1273770
+20000108	1300620
+20000109	1301750
+20000110	1318300
+20000111	1327550
+20000112	1356910
+20000113	1329360
+20000114	1312580
+20000115	1330460
+20000116	1316710
+20000117	1293410
+20000118	1303150
+20000119	1304690
+20000120	1301800
+20000121	1286760
+20000122	1303180
+20000123	1302230
+20000124	1285860
+20000125	1297670
+20000126	1302460
+20000127	1304330
+20000128	1297080
+20000129	1315840
+20000130	1307490
+20000131	1325940
+20000201	1311260
+20000202	1302460
+20000203	1286620
+20000204	1254840
+20000205	1334820
+20000206	1316070
+20000207	1300180
+20000208	1312700
+20000209	1322690
+20000210	1324290
+20000211	1301220
+20000212	1329480
+20000213	1344410
+20000214	1316200
+20000215	1298770
+20000216	1292840
+20000217	1291300
+20000218	1257040
+20000219	1161510
+20000220	1131040
+20000221	1158920
+20000222	1170040
+20000223	1180570
+20000224	1185130
+20000225	1168810
+20000226	1219190
+20000227	1250270
+20000228	1247470
+20000229	1268050
+20000301	1272450
+20000302	1259330
+20000303	1253240
+20000304	1253970
+20000305	1251260
+20000306	1268620
+20000307	1271920
+20000308	1301350
+20000309	1271750
+20000310	1267570
+20000311	1283680
+20000312	1267290
+20000313	1270150
+20000314	1253520
+20000315	1287010
+20000316	1262660
+20000317	1267490
+20000318	1265480
+20000319	1252990
+20000320	1239940
+20000321	1282130
+20000322	1291390
+20000323	1238910
+20000324	1216360
+20000325	1294160
+20000326	1272960
+20000327	1268830
+20000328	1265110
+20000329	1251390
+20000330	1243140
+20000331	1251390
+20000401	1242310
+20000402	1256230
+20000403	1236740
+20000404	1238780
+20000405	1261270
+20000406	1264870
+20000407	1243760
+20000408	1269990
+20000409	1255340
+20000410	1263390
+20000411	1258020
+20000412	1254570
+20000413	1220710
+20000414	1214410
+20000415	1232470
+20000416	1247210
+20000417	1261450
+20000418	1266820
+20000419	1270970
+20000420	1267860
+20000421	1244790
+20000422	1284790
+20000423	1302930
+20000424	1273300
+20000425	1282350
+20000426	1306470
+20000427	1294990
+20000428	1249010
+20000429	1234530
+20000430	1254540
+20000501	1172680
+20000502	1238920
+20000503	1244000
+20000504	1245930
+20000505	1201170
+20000506	1251330
+20000507	1277060
+20000508	1279400
+20000509	1289310
+20000510	1288860
+20000511	1268640
+20000512	1260690
+20000513	1294670
+20000514	1308980
+20000515	1312510
+20000516	1338540
+20000517	1346500
+20000518	1304270
+20000519	1285700
+20000520	1315690
+20000521	1321780
+20000522	1337360
+20000523	1333750
+20000524	1346180
+20000525	1319540
+20000526	1300040
+20000527	1344220
+20000528	1353050
+20000529	1367000
+20000530	1392320
+20000531	1400620
+20000601	1353070
+20000602	1357470
+20000603	1386980
+20000604	1387880
+20000605	1393490
+20000606	1363730
+20000607	1373140
+20000608	1364070
+20000609	1340880
+20000610	1381950
+20000611	1398110
+20000612	1424930
+20000613	1369470
+20000614	1386070
+20000615	1289340
+20000616	1280600
+20000617	1373160
+20000618	1382780
+20000619	1348520
+20000620	1355420
+20000621	1385120
+20000622	1371400
+20000623	1308540
+20000624	1364100
+20000625	1421960
+20000626	1428830
+20000627	1374770
+20000628	1382410
+20000629	1380770
+20000630	1375140
+20000701	1389350
+20000702	1430150
+20000703	1376240
+20000704	1343160
+20000705	1382030
+20000706	1419240
+20000707	1458990
+20000708	1441210
+20000709	1404560
+20000710	1361710
+20000711	1352080
+20000712	1418020
+20000713	1392680
+20000714	1422600
+20000715	1446730
+20000716	1450670
+20000717	1423390
+20000718	1418770
+20000719	1452850
+20000720	1405290
+20000721	1387790
+20000722	1335620
+20000723	1365070
+20000724	1290340
+20000725	1294870
+20000726	1322480
+20000727	1384950
+20000728	1377340
+20000729	1377920
+20000730	1377340
+20000731	1347850
+20000801	1414340
+20000802	1407270
+20000803	1444060
+20000804	1433090
+20000805	1449780
+20000806	1413460
+20000807	1398150
+20000808	1397690
+20000809	1361020
+20000810	1337180
+20000811	1373080
+20000812	1384850
+20000813	1348920
+20000814	1351300
+20000815	1395630
+20000816	1408580
+20000817	1400660
+20000818	1412360
+20000819	1413580
+20000820	1389050
+20000821	1392710
+20000822	1449330
+20000823	1505050
+20000824	1451320
+20000825	1466090
+20000826	1468760
+20000827	1463430
+20000828	1445660
+20000829	1447270
+20000830	1417240
+20000831	1382140
+20000901	1354700
+20000902	1296140
+20000903	1356430
+20000904	1378910
+20000905	1342790
+20000906	1366290
+20000907	1351270
+20000908	1342690
+20000909	1379320
+20000910	1393930
+20000911	1386180
+20000912	1355690
+20000913	1310260
+20000914	1355190
+20000915	1311200
+20000916	1352020
+20000917	1342550
+20000918	1348040
+20000919	1341230
+20000920	1349110
+20000921	1331380
+20000922	1331960
+20000923	1363610
+20000924	1368990
+20000925	1352840
+20000926	1340260
+20000927	1349930
+20000928	1324540
+20000929	1275970
+20000930	1234450
+20001001	1178120
+20001002	1209300
+20001003	1286030
+20001004	1324090
+20001005	1239070
+20001006	1276400
+20001007	1302240
+20001008	1295370
+20001009	1289400
+20001010	1299450
+20001011	1296550
+20001012	1279070
+20001013	1249460
+20001014	1245600
+20001015	1262890
+20001016	1258450
+20001017	1260380
+20001018	1267000
+20001019	1258040
+20001020	1225490
+20001021	1271680
+20001022	1255990
+20001023	1265660
+20001024	1272400
+20001025	1252120
+20001026	1252400
+20001027	1237060
+20001028	1254900
+20001029	1240840
+20001030	1237930
+20001031	1218570
+20001101	1238670
+20001102	1232980
+20001103	1184380
+20001104	1215180
+20001105	1240660
+20001106	1223590
+20001107	1237910
+20001108	1232530
+20001109	1240850
+20001110	1191360
+20001111	1243020
+20001112	1259010
+20001113	1263350
+20001114	1253600
+20001115	1277250
+20001116	1244680
+20001117	1244250
+20001118	1270370
+20001119	1245430
+20001120	1268580
+20001121	1263440
+20001122	1289710
+20001123	1271290
+20001124	1269600
+20001125	1298770
+20001126	1279670
+20001127	1281270
+20001128	1299300
+20001129	1302170
+20001130	1273210
+20001201	1271440
+20001202	1289620
+20001203	1284440
+20001204	1253620
+20001205	1311410
+20001206	1314080
+20001207	1314640
+20001208	1291700
+20001209	1302870
+20001210	1316980
+20001211	1304220
+20001212	1294610
+20001213	1305710
+20001214	1285190
+20001215	1245090
+20001216	1277730
+20001217	1283480
+20001218	1277630
+20001219	1278410
+20001220	1289280
+20001221	1233870
+20001222	1250330
+20001223	1269810
+20001224	1262770
+20001225	1259050
+20001226	1264390
+20001227	1292870
+20001228	1259340
+20001229	1241520
+20001230	1256170
+20001231	1235060
+20010101	1224777.6
+20010102	1270069.2
+20010103	1280584.8
+20010104	1310641.2
+20010105	1282716.9
+20010106	1319987.25
+20010107	1342115.55
+20010108	1353800.7
+20010109	1359700.2
+20010110	1378040.4
+20010111	1372140.9
+20010112	1353780
+20010113	1367617.95
+20010114	1360290.15
+20010115	1378402.65
+20010116	1377284.85
+20010117	1401762.6
+20010118	1376901.9
+20010119	1370505.6
+20010120	1387169.1
+20010121	1362391.2
+20010122	1366862.4
+20010123	1387624.5
+20010124	1361056.05
+20010125	1351130.4
+20010126	1347156
+20010127	1376694.9
+20010128	1369760.4
+20010129	1356605.55
+20010130	1357992.45
+20010131	1354690.8
+20010201	1409598.9
+20010202	1407887.6
+20010203	1410874.2
+20010204	1425927.1
+20010205	1445176.5
+20010206	1381149.9
+20010207	1246785.6
+20010208	1221628.4
+20010209	1228876.9
+20010210	1252704.3
+20010211	1275398.1
+20010212	1310834
+20010213	1330900.9
+20010214	1341354
+20010215	1328372.1
+20010216	1337735.2
+20010217	1365693.7
+20010218	1354989.9
+20010219	1328350.3
+20010220	1366216.9
+20010221	1355164.3
+20010222	1341528.4
+20010223	1352210.4
+20010224	1375547.3
+20010225	1360908.6
+20010226	1364254.9
+20010227	1358227.2
+20010228	1396388.1
+20010301	1247910
+20010302	1239530
+20010303	1291610
+20010304	1279950
+20010305	1268920
+20010306	1279560
+20010307	1275060
+20010308	1246860
+20010309	1232210
+20010310	1255090
+20010311	1250580
+20010312	1237420
+20010313	1233720
+20010314	1275340
+20010315	1260230
+20010316	1237660
+20010317	1260590
+20010318	1245440
+20010319	1265550
+20010320	1264950
+20010321	1265130
+20010322	1238770
+20010323	1231300
+20010324	1249470
+20010325	1253760
+20010326	1237930
+20010327	1246390
+20010328	1263570
+20010329	1236940
+20010330	1222950
+20010331	1233780
+20010401	1297965.6
+20010402	1290837.6
+20010403	1308754.8
+20010404	1326790.8
+20010405	1302015.6
+20010406	1305050.4
+20010407	1329382.8
+20010408	1305547.2
+20010409	1325365.2
+20010410	1334361.6
+20010411	1355292
+20010412	1337245.2
+20010413	1328162.4
+20010414	1345669.2
+20010415	1328842.8
+20010416	1331143.2
+20010417	1329728.4
+20010418	1339794
+20010419	1316044.8
+20010420	1299801.6
+20010421	1322298
+20010422	1321574.4
+20010423	1314705.6
+20010424	1323334.8
+20010425	1356728.4
+20010426	1343930.4
+20010427	1342677.6
+20010428	1360195.2
+20010429	1346230.8
+20010430	1355778
+20010501	1178720
+20010502	1168710
+20010503	1183760
+20010504	1220860
+20010505	1233520
+20010506	1187850
+20010507	1206540
+20010508	1227880
+20010509	1242010
+20010510	1203300
+20010511	1207710
+20010512	1182760
+20010513	1226020
+20010514	1258900
+20010515	1246900
+20010516	1273630
+20010517	1249410
+20010518	1229260
+20010519	1262980
+20010520	1264050
+20010521	1258340
+20010522	1289710
+20010523	1268510
+20010524	1244290
+20010525	1250150
+20010526	1247190
+20010527	1232920
+20010528	1238410
+20010529	1242750
+20010530	1279530
+20010531	1229640
+20010601	1234300
+20010602	1256390
+20010603	1220410
+20010604	1241370
+20010605	1252680
+20010606	1260900
+20010607	1241290
+20010608	1244410
+20010609	1290060
+20010610	1299430
+20010611	1334160
+20010612	1410150
+20010613	1385670
+20010614	1338710
+20010615	1329710
+20010616	1370440
+20010617	1387180
+20010618	1381840
+20010619	1327040
+20010620	1366890
+20010621	1380480
+20010622	1361840
+20010623	1385270
+20010624	1404090
+20010625	1357470
+20010626	1343600
+20010627	1358490
+20010628	1382080
+20010629	1358290
+20010630	1321730
+20010701	1295860
+20010702	1370480
+20010703	1331200
+20010704	1319330
+20010705	1335420
+20010706	1344950
+20010707	1402740
+20010708	1394560
+20010709	1428770
+20010710	1444700
+20010711	1446140
+20010712	1436430
+20010713	1439780
+20010714	1466160
+20010715	1499480
+20010716	1458320
+20010717	1449750
+20010718	1463510
+20010719	1392090
+20010720	1393990
+20010721	1391830
+20010722	1488350
+20010723	1468250
+20010724	1489230
+20010725	1496120
+20010726	1483420
+20010727	1444740
+20010728	1489060
+20010729	1451210
+20010730	1478930
+20010731	1458740
+20010801	1403440
+20010802	1404180
+20010803	1414820
+20010804	1438970
+20010805	1461050
+20010806	1494310
+20010807	1447440
+20010808	1477150
+20010809	1429340
+20010810	1426160
+20010811	1470420
+20010812	1472770
+20010813	1492840
+20010814	1476940
+20010815	1462770
+20010816	1375650
+20010817	1396590
+20010818	1438030
+20010819	1445090
+20010820	1378690
+20010821	1416560
+20010822	1418680
+20010823	1421090
+20010824	1430940
+20010825	1458320
+20010826	1473340
+20010827	1456350
+20010828	1439120
+20010829	1441440
+20010830	1425710
+20010831	1461420
+20010901	1431260
+20010902	1382640
+20010903	1390630
+20010904	1395990
+20010905	1407450
+20010906	1376570
+20010907	1379440
+20010908	1421150
+20010909	1391630
+20010910	1363480
+20010911	1356780
+20010912	1346820
+20010913	1346960
+20010914	1337480
+20010915	1354010
+20010916	1333100
+20010917	1339430
+20010918	1351150
+20010919	1335930
+20010920	1319890
+20010921	1320170
+20010922	1334430
+20010923	1354820
+20010924	1311870
+20010925	1322200
+20010926	1333160
+20010927	1293710
+20010928	1284970
+20010929	1292380
+20010930	1289110
+20011001	1201970
+20011002	1196680
+20011003	1163640
+20011004	1204310
+20011005	1282950
+20011006	1279090
+20011007	1283820
+20011008	1280670
+20011009	1290350
+20011010	1304010
+20011011	1265480
+20011012	1255570
+20011013	1294550
+20011014	1285290
+20011015	1274460
+20011016	1277300
+20011017	1276950
+20011018	1277830
+20011019	1268500
+20011020	1312580
+20011021	1285940
+20011022	1282230
+20011023	1271380
+20011024	1248350
+20011025	1243390
+20011026	1239950
+20011027	1268400
+20011028	1258210
+20011029	1262290
+20011030	1256220
+20011031	1255900
+20011101	1336280.2
+20011102	1308663.5
+20011103	1343727.4
+20011104	1341801.4
+20011105	1323804
+20011106	1338131.3
+20011107	1345236.1
+20011108	1322477.2
+20011109	1309219.9
+20011110	1342454.1
+20011111	1330502.2
+20011112	1334300.7
+20011113	1339821.9
+20011114	1350243.7
+20011115	1322659.1
+20011116	1308535.1
+20011117	1340752.8
+20011118	1363490.3
+20011119	1372863.5
+20011120	1357690.9
+20011121	1375613.4
+20011122	1332438.9
+20011123	1318935.5
+20011124	1343502.7
+20011125	1336494.2
+20011126	1351153.2
+20011127	1346916
+20011128	1347964.6
+20011129	1331368.9
+20011130	1316859.7
+20011201	1259530
+20011202	1276370
+20011203	1260410
+20011204	1254310
+20011205	1263630
+20011206	1239420
+20011207	1235860
+20011208	1253170
+20011209	1260580
+20011210	1264090
+20011211	1261740
+20011212	1277470
+20011213	1250110
+20011214	1242310
+20011215	1253420
+20011216	1242610
+20011217	1233930
+20011218	1240450
+20011219	1240300
+20011220	1226740
+20011221	1217890
+20011222	1235100
+20011223	1235990
+20011224	1215790
+20011225	1210410
+20011226	1222940
+20011227	1205090
+20011228	1195510
+20011229	1213950
+20011230	1214080
+20011231	1207150
+20020101	1302579.2
+20020102	1324042.24
+20020103	1337937.92
+20020104	1381181.44
+20020105	1379235.84
+20020106	1429176.32
+20020107	1384325.12
+20020108	1384888.32
+20020109	1379553.28
+20020110	1358940.16
+20020111	1346775.04
+20020112	1366282.24
+20020113	1377157.12
+20020114	1370828.8
+20020115	1396572.16
+20020116	1396152.32
+20020117	1384069.12
+20020118	1401753.6
+20020119	1433538.56
+20020120	1446799.36
+20020121	1439303.68
+20020122	1442232.32
+20020123	1449256.96
+20020124	1440921.6
+20020125	1437132.8
+20020126	1453230.08
+20020127	1435105.28
+20020128	1313812.48
+20020129	1297152
+20020130	1338306.56
+20020131	1341624.32
+20020201	1341714.75
+20020202	1362645.25
+20020203	1392411.25
+20020204	1410389.75
+20020205	1402979
+20020206	1405439
+20020207	1378686.5
+20020208	1381515.5
+20020209	1396070.5
+20020210	1391857.75
+20020211	1389961.5
+20020212	1389674.5
+20020213	1395998.75
+20020214	1379988.25
+20020215	1387245.25
+20020216	1408093.75
+20020217	1408831.75
+20020218	1383381
+20020219	1378922.25
+20020220	1411199.5
+20020221	1380326.5
+20020222	1363875.25
+20020223	1370261
+20020224	1400549.75
+20020225	1382376.5
+20020226	1356587.5
+20020227	1371388.5
+20020228	1386333
+20020301	1331960
+20020302	1347020
+20020303	1346520
+20020304	1338070
+20020305	1339160
+20020306	1394570
+20020307	1336230
+20020308	1324320
+20020309	1342440
+20020310	1333280
+20020311	1342380
+20020312	1354970
+20020313	1370270
+20020314	1337160
+20020315	1331810
+20020316	1357830
+20020317	1350690
+20020318	1315910
+20020319	1334310
+20020320	1350740
+20020321	1323760
+20020322	1337810
+20020323	1348670
+20020324	1347530
+20020325	1343910
+20020326	1338250
+20020327	1336650
+20020328	1335710
+20020329	1314480
+20020330	1322150
+20020331	1318400
+20020401	1309920
+20020402	1317900
+20020403	1335750
+20020404	1296080
+20020405	1297440
+20020406	1327770
+20020407	1322530
+20020408	1345190
+20020409	1344210
+20020410	1357590
+20020411	1297440
+20020412	1314290
+20020413	1328210
+20020414	1338700
+20020415	1354540
+20020416	1324430
+20020417	1374870
+20020418	1361170
+20020419	1351900
+20020420	1411060
+20020421	1421090
+20020422	1351310
+20020423	1324260
+20020424	1363820
+20020425	1330490
+20020426	1326470
+20020427	1325960
+20020428	1301640
+20020429	1326100
+20020430	1309050
+20020501	1236880
+20020502	1280890
+20020503	1312950
+20020504	1345670
+20020505	1364010
+20020506	1348720
+20020507	1343710
+20020508	1338470
+20020509	1317330
+20020510	1295210
+20020511	1326860
+20020512	1349540
+20020513	1366670
+20020514	1388930
+20020515	1391720
+20020516	1333880
+20020517	1359550
+20020518	1408420
+20020519	1439590
+20020520	1370080
+20020521	1357130
+20020522	1366120
+20020523	1319000
+20020524	1318260
+20020525	1372450
+20020526	1387070
+20020527	1364760
+20020528	1348800
+20020529	1366290
+20020530	1343840
+20020531	1350240
+20020601	1358670
+20020602	1302860
+20020603	1340760
+20020604	1326200
+20020605	1360330
+20020606	1342490
+20020607	1281250
+20020608	1361950
+20020609	1374170
+20020610	1393370
+20020611	1392960
+20020612	1361130
+20020613	1368770
+20020614	1376020
+20020615	1428260
+20020616	1453570
+20020617	1372190
+20020618	1366270
+20020619	1413970
+20020620	1406740
+20020621	1395280
+20020622	1420340
+20020623	1414530
+20020624	1422960
+20020625	1419740
+20020626	1440340
+20020627	1473290
+20020628	1485500
+20020629	1503170
+20020630	1411890
+20020701	1408970
+20020702	1510180
+20020703	1482850
+20020704	1446150
+20020705	1437640
+20020706	1455450
+20020707	1456830
+20020708	1450640
+20020709	1453800
+20020710	1449500
+20020711	1438700
+20020712	1400210
+20020713	1466910
+20020714	1485910
+20020715	1489610
+20020716	1488360
+20020717	1441840
+20020718	1433180
+20020719	1434430
+20020720	1488450
+20020721	1502230
+20020722	1486050
+20020723	1451670
+20020724	1480240
+20020725	1469830
+20020726	1460090
+20020727	1493370
+20020728	1480450
+20020729	1494300
+20020730	1490660
+20020731	1476050
+20020801	1445610
+20020802	1436860
+20020803	1483280
+20020804	1464830
+20020805	1500100
+20020806	1526010
+20020807	1457010
+20020808	1468970
+20020809	1464250
+20020810	1488080
+20020811	1512690
+20020812	1528320
+20020813	1543180
+20020814	1500090
+20020815	1469830
+20020816	1455470
+20020817	1471180
+20020818	1499470
+20020819	1502070
+20020820	1485270
+20020821	1485280
+20020822	1384980
+20020823	1456220
+20020824	1462580
+20020825	1495920
+20020826	1479840
+20020827	1471000
+20020828	1485140
+20020829	1448190
+20020830	1453180
+20020831	1468850
+20020901	1481130
+20020902	1496780
+20020903	1498680
+20020904	1501300
+20020905	1490240
+20020906	1473860
+20020907	1524820
+20020908	1508120
+20020909	1514840
+20020910	1524810
+20020911	1533480
+20020912	1485390
+20020913	1484260
+20020914	1456680
+20020915	1477230
+20020916	1478910
+20020917	1449470
+20020918	1491210
+20020919	1436700
+20020920	1399200
+20020921	1459060
+20020922	1458540
+20020923	1446000
+20020924	1450300
+20020925	1466850
+20020926	1442260
+20020927	1435280
+20020928	1447890
+20020929	1454440
+20020930	1443450
+20021001	1354370
+20021002	1332170
+20021003	1349890
+20021004	1369970
+20021005	1392250
+20021006	1413230
+20021007	1425960
+20021008	1403600
+20021009	1428400
+20021010	1384210
+20021011	1370420
+20021012	1407240
+20021013	1369740
+20021014	1401540
+20021015	1400670
+20021016	1412550
+20021017	1392980
+20021018	1387260
+20021019	1414410
+20021020	1435290
+20021021	1411560
+20021022	1406750
+20021023	1409150
+20021024	1355510
+20021025	1335650
+20021026	1391290
+20021027	1390040
+20021028	1391370
+20021029	1391630
+20021030	1375710
+20021031	1355910
+20021101	1341040
+20021102	1373510
+20021103	1374380
+20021104	1369690
+20021105	1370980
+20021106	1371730
+20021107	1353960
+20021108	1357450
+20021109	1372240
+20021110	1382170
+20021111	1389140
+20021112	1365260
+20021113	1376790
+20021114	1361570
+20021115	1281610
+20021116	1367000
+20021117	1367530
+20021118	1380670
+20021119	1392160
+20021120	1402920
+20021121	1372290
+20021122	1363710
+20021123	1393430
+20021124	1400750
+20021125	1405300
+20021126	1379390
+20021127	1405890
+20021128	1374730
+20021129	1350890
+20021130	1371590
+20021201	1356100
+20021202	1371020
+20021203	1374300
+20021204	1382450
+20021205	1374310
+20021206	1348560
+20021207	1383370
+20021208	1372690
+20021209	1366850
+20021210	1365910
+20021211	1369030
+20021212	1345900
+20021213	1345160
+20021214	1358730
+20021215	1354360
+20021216	1349060
+20021217	1350130
+20021218	1355240
+20021219	1336760
+20021220	1321450
+20021221	1337960
+20021222	1331890
+20021223	1332570
+20021224	1321580
+20021225	1333740
+20021226	1305350
+20021227	1298050
+20021228	1316300
+20021229	1315520
+20021230	1310880
+20021231	100001.215
+20030101	1331466.85
+20030102	1392996.15
+20030103	1351959.7
+20030104	1376218.2
+20030105	1412230.4
+20030106	1409500.05
+20030107	1384226.55
+20030108	1411479.3
+20030109	1412626.25
+20030110	1429424.5
+20030111	1438813.25
+20030112	1468613.65
+20030113	1440650.4
+20030114	1423618.7
+20030115	1441766.9
+20030116	1427810.65
+20030117	1404161.15
+20030118	1414047.25
+20030119	1415610.35
+20030120	1412677
+20030121	1397411.4
+20030122	1414077.7
+20030123	1413113.45
+20030124	1396497.9
+20030125	1408485.05
+20030126	1413346.9
+20030127	1415244.95
+20030128	1407886.2
+20030129	1426927.6
+20030130	1418452.35
+20030131	1437179.1
+20030201	1468520.48
+20030202	1459298.08
+20030203	1442697.76
+20030204	1409392.32
+20030205	1493211.36
+20030206	1473561.36
+20030207	1456908.64
+20030208	1470029.6
+20030209	1480499.12
+20030210	1482175.92
+20030211	1457998.56
+20030212	1487615.04
+20030213	1503261.68
+20030214	1473697.6
+20030215	1455430.96
+20030216	1449216.32
+20030217	1447602.4
+20030218	1411697.92
+20030219	1311582.48
+20030220	1279649.92
+20030221	1308868.16
+20030222	1320521.92
+20030223	1331557.36
+20030224	1336336.24
+20030225	1319232.88
+20030226	1372031.12
+20030227	1404602.96
+20030228	1401668.56
+20030301	1362450
+20030302	1349330
+20030303	1343240
+20030304	1343970
+20030305	1341260
+20030306	1358620
+20030307	1361920
+20030308	1391350
+20030309	1361750
+20030310	1357570
+20030311	1373680
+20030312	1357290
+20030313	1360150
+20030314	1343520
+20030315	1377010
+20030316	1352660
+20030317	1357490
+20030318	1355480
+20030319	1342990
+20030320	1329940
+20030321	1372130
+20030322	1381390
+20030323	1328910
+20030324	1306360
+20030325	1384160
+20030326	1362960
+20030327	1358830
+20030328	1355110
+20030329	1341390
+20030330	1333140
+20030331	1341390
+20030401	1332310
+20030402	1346230
+20030403	1326740
+20030404	1328780
+20030405	1351270
+20030406	1354870
+20030407	1333760
+20030408	1359990
+20030409	1345340
+20030410	1353390
+20030411	1348020
+20030412	1344570
+20030413	1310710
+20030414	1304410
+20030415	1322470
+20030416	1337210
+20030417	1351450
+20030418	1356820
+20030419	1360970
+20030420	1357860
+20030421	1334790
+20030422	1374790
+20030423	1392930
+20030424	1363300
+20030425	1372350
+20030426	1396470
+20030427	1384990
+20030428	1339010
+20030429	1324530
+20030430	1344540
+20030501	1262680
+20030502	1328920
+20030503	1334000
+20030504	1335930
+20030505	1291170
+20030506	1341330
+20030507	1367060
+20030508	1369400
+20030509	1379310
+20030510	1378860
+20030511	1358640
+20030512	1350690
+20030513	1384670
+20030514	1398980
+20030515	1402510
+20030516	1428540
+20030517	1436500
+20030518	1394270
+20030519	1375700
+20030520	1405690
+20030521	1411780
+20030522	1427360
+20030523	1423750
+20030524	1436180
+20030525	1409540
+20030526	1390040
+20030527	1434220
+20030528	1443050
+20030529	1457000
+20030530	1482320
+20030531	1490620
+20030601	1443070
+20030602	1447470
+20030603	1476980
+20030604	1477880
+20030605	1483490
+20030606	1453730
+20030607	1463140
+20030608	1454070
+20030609	1430880
+20030610	1471950
+20030611	1488110
+20030612	1514930
+20030613	1459470
+20030614	1476070
+20030615	1379340
+20030616	1370600
+20030617	1463160
+20030618	1472780
+20030619	1438520
+20030620	1445420
+20030621	1475120
+20030622	1461400
+20030623	1398540
+20030624	1454100
+20030625	1511960
+20030626	1518830
+20030627	1464770
+20030628	1472410
+20030629	1470770
+20030630	1465140
+20030701	1479350
+20030702	1520150
+20030703	1466240
+20030704	1433160
+20030705	1472030
+20030706	1509240
+20030707	1548990
+20030708	1531210
+20030709	1494560
+20030710	1451710
+20030711	1442080
+20030712	1508020
+20030713	1482680
+20030714	1512600
+20030715	1536730
+20030716	1540670
+20030717	1513390
+20030718	1508770
+20030719	1542850
+20030720	1495290
+20030721	1477790
+20030722	1425620
+20030723	1455070
+20030724	1380340
+20030725	1384870
+20030726	1412480
+20030727	1474950
+20030728	1467340
+20030729	1467920
+20030730	1467340
+20030731	1437850
+20030801	1504340
+20030802	1497270
+20030803	1534060
+20030804	1523090
+20030805	1539780
+20030806	1503460
+20030807	1488150
+20030808	1487690
+20030809	1451020
+20030810	1427180
+20030811	1463080
+20030812	1474850
+20030813	1438920
+20030814	1441300
+20030815	1485630
+20030816	1498580
+20030817	1490660
+20030818	1502360
+20030819	1503580
+20030820	1479050
+20030821	1482710
+20030822	1539330
+20030823	1595050
+20030824	1541320
+20030825	1556090
+20030826	1558760
+20030827	1553430
+20030828	1535660
+20030829	1537270
+20030830	1507240
+20030831	1472140
+20030901	1444700
+20030902	1386140
+20030903	1446430
+20030904	1468910
+20030905	1432790
+20030906	1456290
+20030907	1441270
+20030908	1432690
+20030909	1469320
+20030910	1483930
+20030911	1476180
+20030912	1445690
+20030913	1400260
+20030914	1445190
+20030915	1401200
+20030916	1442020
+20030917	1432550
+20030918	1438040
+20030919	1431230
+20030920	1439110
+20030921	1421380
+20030922	1421960
+20030923	1453610
+20030924	1458990
+20030925	1442840
+20030926	1430260
+20030927	1439930
+20030928	1414540
+20030929	1365970
+20030930	1324450
+20031001	1268120
+20031002	1299300
+20031003	1376030
+20031004	1414090
+20031005	1329070
+20031006	1366400
+20031007	1392240
+20031008	1385370
+20031009	1379400
+20031010	1389450
+20031011	1386550
+20031012	1369070
+20031013	1339460
+20031014	1335600
+20031015	1352890
+20031016	1348450
+20031017	1350380
+20031018	1357000
+20031019	1348040
+20031020	1315490
+20031021	1361680
+20031022	1345990
+20031023	1355660
+20031024	1362400
+20031025	1342120
+20031026	1342400
+20031027	1327060
+20031028	1344900
+20031029	1330840
+20031030	1327930
+20031031	1308570
+20031101	1344614.04
+20031102	1338855.76
+20031103	1289672.56
+20031104	1320842.16
+20031105	1346627.92
+20031106	1329353.08
+20031107	1343844.92
+20031108	1338400.36
+20031109	1346820.2
+20031110	1296736.32
+20031111	1349016.24
+20031112	1365198.12
+20031113	1369590.2
+20031114	1359723.2
+20031115	1383657
+20031116	1350696.16
+20031117	1350261
+20031118	1376694.44
+20031119	1351455.16
+20031120	1374882.96
+20031121	1369681.28
+20031122	1396266.52
+20031123	1377625.48
+20031124	1375915.2
+20031125	1405435.24
+20031126	1386106.04
+20031127	1387725.24
+20031128	1405971.6
+20031129	1408876.04
+20031130	1379568.52
+20031201	1361440
+20031202	1379620
+20031203	1374440
+20031204	1343620
+20031205	1401410
+20031206	1404080
+20031207	1404640
+20031208	1381700
+20031209	1392870
+20031210	1406980
+20031211	1394220
+20031212	1384610
+20031213	1395710
+20031214	1375190
+20031215	1335090
+20031216	1367730
+20031217	1373480
+20031218	1367630
+20031219	1368410
+20031220	1379280
+20031221	1323870
+20031222	1340330
+20031223	1359810
+20031224	1352770
+20031225	1349050
+20031226	1354390
+20031227	1382870
+20031228	1349340
+20031229	1331520
+20031230	1346170
+20031231	1325060
+20040101	1306987.2
+20040102	1351622.4
+20040103	1361985.6
+20040104	1391606.4
+20040105	1364086.8
+20040106	1400817
+20040107	1422624.6
+20040108	1434140.4
+20040109	1439954.4
+20040110	1458028.8
+20040111	1452214.8
+20040112	1434120
+20040113	1447757.4
+20040114	1440535.8
+20040115	1458385.8
+20040116	1457284.2
+20040117	1481407.2
+20040118	1456906.8
+20040119	1450603.2
+20040120	1467025.2
+20040121	1442606.4
+20040122	1447012.8
+20040123	1467474
+20040124	1441290.6
+20040125	1431508.8
+20040126	1427592
+20040127	1456702.8
+20040128	1449868.8
+20040129	1436904.6
+20040130	1438271.4
+20040131	1435017.6
+20040201	1488594.7
+20040202	1486914.8
+20040203	1489846.6
+20040204	1504623.3
+20040205	1523519.5
+20040206	1460667.7
+20040207	1328768.8
+20040208	1304073.2
+20040209	1311188.7
+20040210	1334578.9
+20040211	1356856.3
+20040212	1391642
+20040213	1411340.7
+20040214	1421602
+20040215	1408858.3
+20040216	1418049.6
+20040217	1445495.1
+20040218	1434987.7
+20040219	1408836.9
+20040220	1446008.7
+20040221	1435158.9
+20040222	1421773.2
+20040223	1432259.2
+20040224	1455167.9
+20040225	1440797.8
+20040226	1444082.7
+20040227	1438165.6
+20040228	1475626.3
+20040229	1440123.7
+20040301	1431157.1
+20040302	1486882.7
+20040303	1474406.5
+20040304	1462604.4
+20040305	1473989.2
+20040306	1469174.2
+20040307	1439000.2
+20040308	1423324.7
+20040309	1447806.3
+20040310	1442980.6
+20040311	1428899.4
+20040312	1424940.4
+20040313	1469473.8
+20040314	1453306.1
+20040315	1429156.2
+20040316	1453691.3
+20040317	1437480.8
+20040318	1458998.5
+20040319	1458356.5
+20040320	1458549.1
+20040321	1430343.9
+20040322	1422351
+20040323	1441792.9
+20040324	1446383.2
+20040325	1429445.1
+20040326	1438497.3
+20040327	1456879.9
+20040328	1428385.8
+20040329	1413416.5
+20040330	1425004.6
+20040331	1390807.4
+20040401	1383745.4
+20040402	1401496.7
+20040403	1419365.7
+20040404	1394819.9
+20040405	1397826.6
+20040406	1421933.7
+20040407	1398318.8
+20040408	1417953.3
+20040409	1426866.4
+20040410	1447603
+20040411	1429723.3
+20040412	1420724.6
+20040413	1438069.3
+20040414	1421398.7
+20040415	1423677.8
+20040416	1422276.1
+20040417	1432248.5
+20040418	1408719.2
+20040419	1392626.4
+20040420	1414914.5
+20040421	1414197.6
+20040422	1407392.4
+20040423	1415941.7
+20040424	1449026.1
+20040425	1436346.6
+20040426	1435105.4
+20040427	1452460.8
+20040428	1438625.7
+20040429	1448084.5
+20040430	1366090.4
+20040501	1266710
+20040502	1281760
+20040503	1318860
+20040504	1331520
+20040505	1285850
+20040506	1304540
+20040507	1325880
+20040508	1340010
+20040509	1301300
+20040510	1305710
+20040511	1280760
+20040512	1324020
+20040513	1356900
+20040514	1344900
+20040515	1371630
+20040516	1347410
+20040517	1327260
+20040518	1360980
+20040519	1362050
+20040520	1356340
+20040521	1387710
+20040522	1366510
+20040523	1342290
+20040524	1348150
+20040525	1345190
+20040526	1330920
+20040527	1336410
+20040528	1340750
+20040529	1377530
+20040530	1327640
+20040531	1332300
+20040601	1354390
+20040602	1318410
+20040603	1339370
+20040604	1350680
+20040605	1358900
+20040606	1339290
+20040607	1342410
+20040608	1388060
+20040609	1397430
+20040610	1432160
+20040611	1508150
+20040612	1483670
+20040613	1436710
+20040614	1427710
+20040615	1468440
+20040616	1485180
+20040617	1479840
+20040618	1425040
+20040619	1464890
+20040620	1478480
+20040621	1459840
+20040622	1483270
+20040623	1502090
+20040624	1455470
+20040625	1441600
+20040626	1456490
+20040627	1480080
+20040628	1456290
+20040629	1419730
+20040630	1393860
+20040701	1468480
+20040702	1429200
+20040703	1417330
+20040704	1433420
+20040705	1442950
+20040706	1500740
+20040707	1492560
+20040708	1526770
+20040709	1542700
+20040710	1544140
+20040711	1534430
+20040712	1537780
+20040713	1564160
+20040714	1597480
+20040715	1556320
+20040716	1547750
+20040717	1561510
+20040718	1490090
+20040719	1491990
+20040720	1489830
+20040721	1586350
+20040722	1566250
+20040723	1587230
+20040724	1594120
+20040725	1581420
+20040726	1542740
+20040727	1587060
+20040728	1549210
+20040729	1576930
+20040730	1556740
+20040731	1501440
+20040801	1502180
+20040802	1512820
+20040803	1536970
+20040804	1559050
+20040805	1592310
+20040806	1545440
+20040807	1575150
+20040808	1527340
+20040809	1524160
+20040810	1568420
+20040811	1570770
+20040812	1590840
+20040813	1574940
+20040814	1560770
+20040815	1473650
+20040816	1494590
+20040817	1536030
+20040818	1543090
+20040819	1476690
+20040820	1514560
+20040821	1516680
+20040822	1519090
+20040823	1528940
+20040824	1556320
+20040825	1571340
+20040826	1554350
+20040827	1537120
+20040828	1539440
+20040829	1523710
+20040830	1559420
+20040831	1529260
+20040901	1480640
+20040902	1488630
+20040903	1493990
+20040904	1505450
+20040905	1474570
+20040906	1477440
+20040907	1519150
+20040908	1489630
+20040909	1461480
+20040910	1454780
+20040911	1444820
+20040912	1444960
+20040913	1435480
+20040914	1452010
+20040915	1431100
+20040916	1437430
+20040917	1449150
+20040918	1433930
+20040919	1417890
+20040920	1418170
+20040921	1432430
+20040922	1452820
+20040923	1409870
+20040924	1420200
+20040925	1431160
+20040926	1391710
+20040927	1382970
+20040928	1390380
+20040929	1387110
+20040930	1299970
+20041001	1294680
+20041002	1261640
+20041003	1302310
+20041004	1380950
+20041005	1377090
+20041006	1381820
+20041007	1378670
+20041008	1388350
+20041009	1402010
+20041010	1363480
+20041011	1353570
+20041012	1392550
+20041013	1383290
+20041014	1372460
+20041015	1375300
+20041016	1374950
+20041017	1375830
+20041018	1366500
+20041019	1410580
+20041020	1383940
+20041021	1380230
+20041022	1369380
+20041023	1346350
+20041024	1341390
+20041025	1337950
+20041026	1366400
+20041027	1356210
+20041028	1360290
+20041029	1354220
+20041030	1353900
+20041031	1346860
+20041101	1387102.5
+20041102	1421511
+20041103	1419621
+20041104	1401960
+20041105	1416019.5
+20041106	1422991.5
+20041107	1400658
+20041108	1387648.5
+20041109	1420261.5
+20041110	1408533
+20041111	1412260.5
+20041112	1417678.5
+20041113	1427905.5
+20041114	1400836.5
+20041115	1386976.5
+20041116	1418592
+20041117	1440904.5
+20041118	1450102.5
+20041119	1435213.5
+20041120	1452801
+20041121	1410433.5
+20041122	1397182.5
+20041123	1421290.5
+20041124	1414413
+20041125	1428798
+20041126	1424640
+20041127	1425669
+20041128	1409383.5
+20041129	1395145.5
+20041130	1425406.5
+20041201	1443088.5
+20041202	1426330.5
+20041203	1419925.5
+20041204	1429711.5
+20041205	1404291
+20041206	1400553
+20041207	1418728.5
+20041208	1426509
+20041209	1430194.5
+20041210	1427727
+20041211	1444243.5
+20041212	1415515.5
+20041213	1407325.5
+20041214	1418991
+20041215	1407640.5
+20041216	1398526.5
+20041217	1405372.5
+20041218	1405215
+20041219	1390977
+20041220	1381684.5
+20041221	1399755
+20041222	1400689.5
+20041223	1379479.5
+20041224	1373830.5
+20041225	1386987
+20041226	1368244.5
+20041227	1358185.5
+20041228	1377547.5
+20041229	1377684
+20041230	1370407.5
+20041231	1307302.5
+20050101	1391050.08
+20050102	1404728.64
+20050103	1447296.48
+20050104	1445381.28
+20050105	1494541.44
+20050106	1450391.04
+20050107	1450945.44
+20050108	1445693.76
+20050109	1425402.72
+20050110	1413427.68
+20050111	1432630.08
+20050112	1443335.04
+20050113	1437105.6
+20050114	1462446.72
+20050115	1462033.44
+20050116	1450139.04
+20050117	1467547.2
+20050118	1498835.52
+20050119	1511889.12
+20050120	1504510.56
+20050121	1507393.44
+20050122	1514308.32
+20050123	1506103.2
+20050124	1502373.6
+20050125	1518219.36
+20050126	1500377.76
+20050127	1380980.16
+20050128	1364580
+20050129	1405091.52
+20050130	1408357.44
+20050131	1407157.92
+20050201	1487230.5
+20050202	1517722.5
+20050203	1536139.5
+20050204	1528548
+20050205	1531068
+20050206	1503663
+20050207	1506561
+20050208	1521471
+20050209	1517155.5
+20050210	1515213
+20050211	1514919
+20050212	1521397.5
+20050213	1504996.5
+20050214	1512430.5
+20050215	1533787.5
+20050216	1534543.5
+20050217	1508472
+20050218	1503904.5
+20050219	1536969
+20050220	1505343
+20050221	1488490.5
+20050222	1495032
+20050223	1526059.5
+20050224	1507443
+20050225	1481025
+20050226	1496187
+20050227	1511496
+20050228	1489908
+20050301	1505721
+20050302	1505196
+20050303	1496323.5
+20050304	1497468
+20050305	1555648.5
+20050306	1494391.5
+20050307	1481886
+20050308	1500912
+20050309	1491294
+20050310	1500849
+20050311	1514068.5
+20050312	1530133.5
+20050313	1495368
+20050314	1489750.5
+20050315	1517071.5
+20050316	1509574.5
+20050317	1473055.5
+20050318	1492375.5
+20050319	1509627
+20050320	1481298
+20050321	1496050.5
+20050322	1507453.5
+20050323	1506256.5
+20050324	1502455.5
+20050325	1496512.5
+20050326	1494832.5
+20050327	1493845.5
+20050328	1471554
+20050329	1479607.5
+20050330	1475670
+20050331	1466766
+20050401	1475145
+20050402	1493887.5
+20050403	1452234
+20050404	1453662
+20050405	1485508.5
+20050406	1480006.5
+20050407	1503799.5
+20050408	1502770.5
+20050409	1516819.5
+20050410	1453662
+20050411	1471354.5
+20050412	1485970.5
+20050413	1496985
+20050414	1513617
+20050415	1482001.5
+20050416	1534963.5
+20050417	1520578.5
+20050418	1510845
+20050419	1572963
+20050420	1583494.5
+20050421	1510225.5
+20050422	1481823
+20050423	1523361
+20050424	1488364.5
+20050425	1484143.5
+20050426	1483608
+20050427	1458072
+20050428	1483755
+20050429	1465852.5
+20050430	1390074
+20050501	1367890
+20050502	1399950
+20050503	1432670
+20050504	1451010
+20050505	1435720
+20050506	1430710
+20050507	1425470
+20050508	1404330
+20050509	1382210
+20050510	1413860
+20050511	1436540
+20050512	1453670
+20050513	1475930
+20050514	1478720
+20050515	1420880
+20050516	1446550
+20050517	1495420
+20050518	1526590
+20050519	1457080
+20050520	1444130
+20050521	1453120
+20050522	1406000
+20050523	1405260
+20050524	1459450
+20050525	1474070
+20050526	1451760
+20050527	1435800
+20050528	1453290
+20050529	1430840
+20050530	1437240
+20050531	1445670
+20050601	1389860
+20050602	1427760
+20050603	1413200
+20050604	1447330
+20050605	1429490
+20050606	1368250
+20050607	1448950
+20050608	1461170
+20050609	1480370
+20050610	1479960
+20050611	1448130
+20050612	1455770
+20050613	1463020
+20050614	1515260
+20050615	1540570
+20050616	1459190
+20050617	1453270
+20050618	1500970
+20050619	1493740
+20050620	1482280
+20050621	1507340
+20050622	1501530
+20050623	1509960
+20050624	1506740
+20050625	1527340
+20050626	1560290
+20050627	1572500
+20050628	1590170
+20050629	1498890
+20050630	1495970
+20050701	1597180
+20050702	1569850
+20050703	1533150
+20050704	1524640
+20050705	1542450
+20050706	1543830
+20050707	1537640
+20050708	1540800
+20050709	1536500
+20050710	1525700
+20050711	1487210
+20050712	1553910
+20050713	1572910
+20050714	1576610
+20050715	1575360
+20050716	1528840
+20050717	1520180
+20050718	1521430
+20050719	1575450
+20050720	1589230
+20050721	1573050
+20050722	1538670
+20050723	1567240
+20050724	1556830
+20050725	1547090
+20050726	1580370
+20050727	1567450
+20050728	1581300
+20050729	1577660
+20050730	1563050
+20050731	1532610
+20050801	1523860
+20050802	1570280
+20050803	1551830
+20050804	1587100
+20050805	1613010
+20050806	1544010
+20050807	1555970
+20050808	1551250
+20050809	1575080
+20050810	1599690
+20050811	1615320
+20050812	1630180
+20050813	1587090
+20050814	1556830
+20050815	1542470
+20050816	1558180
+20050817	1586470
+20050818	1589070
+20050819	1572270
+20050820	1572280
+20050821	1471980
+20050822	1543220
+20050823	1549580
+20050824	1582920
+20050825	1566840
+20050826	1558000
+20050827	1572140
+20050828	1535190
+20050829	1540180
+20050830	1555850
+20050831	1568130
+20050901	1583780
+20050902	1585680
+20050903	1588300
+20050904	1577240
+20050905	1560860
+20050906	1611820
+20050907	1595120
+20050908	1601840
+20050909	1611810
+20050910	1620480
+20050911	1572390
+20050912	1571260
+20050913	1543680
+20050914	1564230
+20050915	1565910
+20050916	1536470
+20050917	1578210
+20050918	1523700
+20050919	1486200
+20050920	1546060
+20050921	1545540
+20050922	1533000
+20050923	1537300
+20050924	1553850
+20050925	1529260
+20050926	1522280
+20050927	1534890
+20050928	1541440
+20050929	1530450
+20050930	1441370
+20051001	1419170
+20051002	1436890
+20051003	1456970
+20051004	1479250
+20051005	1500230
+20051006	1512960
+20051007	1490600
+20051008	1515400
+20051009	1471210
+20051010	1457420
+20051011	1494240
+20051012	1456740
+20051013	1488540
+20051014	1487670
+20051015	1499550
+20051016	1479980
+20051017	1474260
+20051018	1501410
+20051019	1522290
+20051020	1498560
+20051021	1493750
+20051022	1496150
+20051023	1442510
+20051024	1422650
+20051025	1478290
+20051026	1477040
+20051027	1478370
+20051028	1478630
+20051029	1462710
+20051030	1442910
+20051031	1428040
+20051101	1460510
+20051102	1461380
+20051103	1456690
+20051104	1457980
+20051105	1458730
+20051106	1440960
+20051107	1444450
+20051108	1459240
+20051109	1469170
+20051110	1476140
+20051111	1452260
+20051112	1463790
+20051113	1448570
+20051114	1368610
+20051115	1454000
+20051116	1454530
+20051117	1467670
+20051118	1479160
+20051119	1489920
+20051120	1459290
+20051121	1450710
+20051122	1480430
+20051123	1487750
+20051124	1492300
+20051125	1466390
+20051126	1492890
+20051127	1461730
+20051128	1437890
+20051129	1458590
+20051130	1443100
+20051201	1458020
+20051202	1461300
+20051203	1469450
+20051204	1461310
+20051205	1435560
+20051206	1470370
+20051207	1459690
+20051208	1453850
+20051209	1452910
+20051210	1456030
+20051211	1432900
+20051212	1432160
+20051213	1445730
+20051214	1441360
+20051215	1436060
+20051216	1437130
+20051217	1442240
+20051218	1423760
+20051219	1408450
+20051220	1424960
+20051221	1418890
+20051222	1419570
+20051223	1408580
+20051224	1420740
+20051225	1392350
+20051226	1385050
+20051227	1403300
+20051228	1402520
+20051229	1397880
+20051230	187001.215
+20051231	1408790
+20060101	1436961.729
+20060102	1397505.082
+20060103	1420829.689
+20060104	1455455.508
+20060105	1452830.27
+20060106	1428529.737
+20060107	1454733.324
+20060108	1455836.119
+20060109	1471987.678
+20060110	1481014.984
+20060111	1509668.142
+20060112	1482781.408
+20060113	1466405.387
+20060114	1483854.926
+20060115	1470435.957
+20060116	1447696.904
+20060117	1457202.414
+20060118	1458705.338
+20060119	1455884.915
+20060120	1441207.003
+20060121	1457231.692
+20060122	1456304.563
+20060123	1440328.671
+20060124	1451854.345
+20060125	1456529.026
+20060126	1458354.005
+20060127	1451278.549
+20060128	1469586.902
+20060129	1461437.928
+20060130	1479443.745
+20060131	1465117.166
+20060201	1537233.8
+20060202	1520918.6
+20060203	1488185.2
+20060204	1570564.6
+20060205	1551252.1
+20060206	1534885.4
+20060207	1547781
+20060208	1558070.7
+20060209	1559718.7
+20060210	1535956.6
+20060211	1565064.4
+20060212	1580442.3
+20060213	1551386
+20060214	1533433.1
+20060215	1527325.2
+20060216	1525739
+20060217	1490451.2
+20060218	1392055.3
+20060219	1360671.2
+20060220	1389387.6
+20060221	1400841.2
+20060222	1411687.1
+20060223	1416383.9
+20060224	1399574.3
+20060225	1451465.7
+20060226	1483478.1
+20060227	1480594.1
+20060228	1501791.5
+20060301	1506323.5
+20060302	1492809.9
+20060303	1486537.2
+20060304	1487289.1
+20060305	1484497.8
+20060306	1502378.6
+20060307	1505777.6
+20060308	1536090.5
+20060309	1505602.5
+20060310	1501297.1
+20060311	1517890.4
+20060312	1501008.7
+20060313	1503954.5
+20060314	1486825.6
+20060315	1521320.3
+20060316	1496239.8
+20060317	1501214.7
+20060318	1499144.4
+20060319	1486279.7
+20060320	1472838.2
+20060321	1516293.9
+20060322	1525831.7
+20060323	1471777.3
+20060324	1448550.8
+20060325	1528684.8
+20060326	1506848.8
+20060327	1502594.9
+20060328	1498763.3
+20060329	1484631.7
+20060330	1476134.2
+20060331	1484631.7
+20060401	1475279.3
+20060402	1489616.9
+20060403	1469542.2
+20060404	1471643.4
+20060405	1494808.1
+20060406	1498516.1
+20060407	1476772.8
+20060408	1503789.7
+20060409	1488700.2
+20060410	1496991.7
+20060411	1491460.6
+20060412	1487907.1
+20060413	1453031.3
+20060414	1446542.3
+20060415	1465144.1
+20060416	1480326.3
+20060417	1494993.5
+20060418	1500524.6
+20060419	1504799.1
+20060420	1501595.8
+20060421	1477833.7
+20060422	1519033.7
+20060423	1537717.9
+20060424	1507199
+20060425	1516520.5
+20060426	1541364.1
+20060427	1529539.7
+20060428	1482180.3
+20060429	1467265.9
+20060430	1487876.2
+20060501	1403560.4
+20060502	1428920
+20060503	1434000
+20060504	1435930
+20060505	1391170
+20060506	1441330
+20060507	1467060
+20060508	1469400
+20060509	1479310
+20060510	1478860
+20060511	1458640
+20060512	1450690
+20060513	1484670
+20060514	1498980
+20060515	1502510
+20060516	1528540
+20060517	1536500
+20060518	1494270
+20060519	1475700
+20060520	1505690
+20060521	1511780
+20060522	1527360
+20060523	1523750
+20060524	1536180
+20060525	1509540
+20060526	1490040
+20060527	1534220
+20060528	1543050
+20060529	1557000
+20060530	1582320
+20060531	1590620
+20060601	1543070
+20060602	1547470
+20060603	1576980
+20060604	1577880
+20060605	1583490
+20060606	1553730
+20060607	1563140
+20060608	1554070
+20060609	1530880
+20060610	1571950
+20060611	1588110
+20060612	1614930
+20060613	1559470
+20060614	1576070
+20060615	1479340
+20060616	1470600
+20060617	1563160
+20060618	1572780
+20060619	1538520
+20060620	1545420
+20060621	1575120
+20060622	1561400
+20060623	1498540
+20060624	1554100
+20060625	1611960
+20060626	1618830
+20060627	1564770
+20060628	1572410
+20060629	1570770
+20060630	1565140
+20060701	1579350
+20060702	1620150
+20060703	1566240
+20060704	1533160
+20060705	1572030
+20060706	1609240
+20060707	1648990
+20060708	1631210
+20060709	1594560
+20060710	1551710
+20060711	1542080
+20060712	1608020
+20060713	1582680
+20060714	1612600
+20060715	1636730
+20060716	1640670
+20060717	1613390
+20060718	1608770
+20060719	1642850
+20060720	1595290
+20060721	1577790
+20060722	1525620
+20060723	1555070
+20060724	1480340
+20060725	1484870
+20060726	1512480
+20060727	1574950
+20060728	1567340
+20060729	1567920
+20060730	1567340
+20060731	1537850
+20060801	1604340
+20060802	1597270
+20060803	1634060
+20060804	1623090
+20060805	1639780
+20060806	1603460
+20060807	1588150
+20060808	1587690
+20060809	1551020
+20060810	1527180
+20060811	1563080
+20060812	1574850
+20060813	1538920
+20060814	1541300
+20060815	1585630
+20060816	1598580
+20060817	1590660
+20060818	1602360
+20060819	1603580
+20060820	1579050
+20060821	1582710
+20060822	1639330
+20060823	1695050
+20060824	1641320
+20060825	1656090
+20060826	1658760
+20060827	1653430
+20060828	1635660
+20060829	1637270
+20060830	1607240
+20060831	1572140
+20060901	1544700
+20060902	1545585.6
+20060903	1608287.2
+20060904	1631666.4
+20060905	1594101.6
+20060906	1618541.6
+20060907	1602920.8
+20060908	1593997.6
+20060909	1632092.8
+20060910	1647287.2
+20060911	1639227.2
+20060912	1607517.6
+20060913	1560270.4
+20060914	1606997.6
+20060915	1561248
+20060916	1603700.8
+20060917	1593852
+20060918	1599561.6
+20060919	1592479.2
+20060920	1600674.4
+20060921	1582235.2
+20060922	1582838.4
+20060923	1615754.4
+20060924	1621349.6
+20060925	1604553.6
+20060926	1591470.4
+20060927	1601527.2
+20060928	1575121.6
+20060929	1524608.8
+20060930	1481428
+20061001	1422844.8
+20061002	1455272
+20061003	1535071.2
+20061004	1574653.6
+20061005	1486232.8
+20061006	1525056
+20061007	1551929.6
+20061008	1544784.8
+20061009	1538576
+20061010	1549028
+20061011	1546012
+20061012	1527832.8
+20061013	1497038.4
+20061014	1493024
+20061015	1511005.6
+20061016	1506388
+20061017	1508395.2
+20061018	1515280
+20061019	1505961.6
+20061020	1472109.6
+20061021	1520147.2
+20061022	1503829.6
+20061023	1513886.4
+20061024	1520896
+20061025	1499804.8
+20061026	1500096
+20061027	1484142.4
+20061028	1502696
+20061029	1488073.6
+20061030	1485047.2
+20061031	1464912.8
+20061101	1485816.8
+20061102	1479899.2
+20061103	1429355.2
+20061104	1461387.2
+20061105	1487886.4
+20061106	1470133.6
+20061107	1485026.4
+20061108	1479431.2
+20061109	1488084
+20061110	1436614.4
+20061111	1490340.8
+20061112	1506970.4
+20061113	1511484
+20061114	1501344
+20061115	1525940
+20061116	1492067.2
+20061117	1491620
+20061118	1518784.8
+20061119	1492847.2
+20061120	1516923.2
+20061121	1511577.6
+20061122	1538898.4
+20061123	1519741.6
+20061124	1517984
+20061125	1548320.8
+20061126	1528456.8
+20061127	1530120.8
+20061128	1548872
+20061129	1551856.8
+20061130	1521738.4
+20061201	1519897.6
+20061202	1538804.8
+20061203	1533417.6
+20061204	1501364.8
+20061205	1561466.4
+20061206	1564243.2
+20061207	1564825.6
+20061208	1540968
+20061209	1552584.8
+20061210	1567259.2
+20061211	1553988.8
+20061212	1543994.4
+20061213	1555538.4
+20061214	1534197.6
+20061215	1492493.6
+20061216	1526439.2
+20061217	1532419.2
+20061218	1526335.2
+20061219	1527146.4
+20061220	1538451.2
+20061221	1480824.8
+20061222	1497943.2
+20061223	1518202.4
+20061224	1510880.8
+20061225	1507012
+20061226	1512565.6
+20061227	1542184.8
+20061228	1507313.6
+20061229	1488780.8
+20061230	1504016.8
+20061231	1482062.4

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第15章 真题-城市供水量预测/P15-2/gm_1_1.m

@@ -1,3 +1,42 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1abba7a5498be9a5789a1352771267373c8793bdac001c0f09c497cd161213a8
-size 965
+%��ɫģ�ͱ������Ӻ��������Ӻ�������Ϊgm_1_1.m
+function [y,p,e]=gm_1_1(X,k)   
+x_orig=X; 
+predict=k; 
+x=cumsum(x_orig); 
+n=length(x_orig); 
+%���ɻ�ɫ���� 
+for i=1:(n-1); 
+B(i)=-(x(i)+x(i+1))/2; 
+end 
+B=[B' ones(n-1,1)]; 
+for i=1:(n-1); 
+y(i)=x_orig(i+1); 
+end 
+Y=y'; 
+au=(inv(B'*B))*(B'*Y); 
+coef1=au(2)/au(1); 
+coef2=x_orig(1)-coef1; 
+coef3=0-au(1); 
+costr1=num2str(coef1); 
+costr2=num2str(abs(coef2)); 
+costr3=num2str(coef3); 
+eq=strcat(costr1,'+',costr2,'e^',costr3,'*(t-1))'); 
+for t=1:n+predict 
+   mcv(t)=coef1+coef2*exp(coef3*(t-1)); 
+end 
+x_mcv0=diff(mcv); 
+x_mcve=[x_orig(1) x_mcv0]; 
+x_mcv=diff(mcv(1:end-predict)); 
+x_orig_n=x_orig(2:end); 
+x_c_error=x_orig_n-x_mcv; 
+x_error=mean(abs(x_c_error./x_orig_n)); 
+%��ɫģ�����ļ��� 
+if x_error>0.2 
+   disp('model disqualification!'); 
+elseif x_error>0.1 
+   disp('model check out'); 
+else 
+   disp('model is perfect!'); 
+end 
+e=x_error; 
+p=x_mcve(end-predict+1:end);

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第15章 真题-城市供水量预测/P15-2/main1502.m

@@ -1,3 +1,50 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e8692538c0cd527a0b426902a021b528467ca293cfe0e0f52310c3ee8343896b
-size 1181
+% ��ɫģ��������
+clear
+clc;close all;
+p=[];
+q=[];
+k=[];
+%�����ļ�data1.txt�����У���һ����ʱ�䣬�ڶ����ǹ�ˮ��
+A=load('data1.txt');
+  n=size(A);
+ A=A';
+ B=[];
+for i=0:10000:60000         %����ѭ����Ŀ����������2000�굽2006��
+   for j=1:n                  %����ѭ�������Ѱ��
+     if A(1,j)==20000101+i  %����ѭ��������1�·ݵ�ÿ�չ�ˮ�����ݿٳ���
+         B=[B;A(2,j:j+30)];
+        end
+     end
+end
+
+%06��1�¡�07��1�µ�Ԥ������
+for i=1:31
+     [y,p]=gm_1_1([B(1:6,i)'],2);
+  q=[q,p(1,1)];         %06��1�µ�Ԥ������
+  k=[k,p(1,2)]          %07��1�µ�Ԥ������
+end
+
+%��2006��һ�·ݵ�������Ϊ��ɫģ�͵ļ�������
+errorss=abs((B(7,:)-q)./B(7,:))*100
+t=1:31;
+figure(1);
+h1=plot(t,errorss);
+set(h1,'color',[1 0 0],'linestyle','-',...
+    'linewidth',2.5,'marker','p','markersize',4);
+xlabel('ʱ��/��');
+ylabel('Ԥ�����ٷֱ�/%');
+text(30,5.5,'');axis tight;grid on;
+title('06��1�·�����ˮ��Ԥ��ֵ��ʵ��ֵ���ٷֱ�');
+
+figure(2);
+h2=plot(t,k);
+set(h2,'color',[0 0 1],'linestyle','-.',...
+    'linewidth',2.5,'marker','^','markersize',4);
+xlabel('ʱ��/��');
+ylabel('����ˮ��/��');
+axis tight;grid on;
+title('07��1�·�����ˮ��Ԥ��ֵ');
+
+
+
+

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第15章 真题-城市供水量预测/P15-3/BPNet.m

@@ -1,3 +1,7 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:4e39d326439763d9282e08dc04508da2a8f6ce0d727d4facde1a96619c0ee160
-size 274
+%�Ӻ�����������ڶ�����m�ļ��У�����ΪBPNet.m
+%���������ṹ
+function Out=BPNet(In,W1,B1,W2,B2,W3,B3)
+[xxx,InNum]=size(In);
+Hidden1Out=logsig(W1*In+repmat(B1,1,InNum));
+Hidden2Out=logsig(W2*Hidden1Out+repmat(B2,1,InNum));
+Out=logsig(W3*Hidden2Out+repmat(B3,1,InNum));

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第15章 真题-城市供水量预测/P15-3/CombineTwoUnits.m

@@ -1,3 +1,8 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:afc2944577d7753f781c36e3608e77d796cf0390dae3108d01f4f7378ddc3fee
-size 297
+%�Ӻ�����������ڶ�����m�ļ��У�����ΪCombineTwoUnits.m
+%�������ڵ�ϲ�
+function[W1Ex,W2Ex]=CombineTwoUnits(unit1,unit2,a,b,W1Ex,W2Ex)
+[xxx,BiasCol]=size(W2Ex);
+W2Ex(:,unit1)=W2Ex(:,unit1)+a*W2Ex(:,unit2);
+W2Ex(:,BiasCol)=W2Ex(:,BiasCol)+b*W2Ex(:,unit2);
+W1Ex(unit2,:)=[];
+W2Ex(:,unit2)=[];

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第15章 真题-城市供水量预测/P15-3/CombineUnitToBias.m

@@ -1,3 +1,7 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b6a6b73a59cc236fc1d686b4c2f8885b6c2d41f5bfb45c6a966425dac1ccbb43
-size 261
+%�Ӻ�����������ڶ�����m�ļ��У�����ΪCombineUnitToBias.m
+%�����ڵ�ϲ���ƫ��
+function[W1Ex,W2Ex]=CombineUnitToBias(unit,UnitMean,W1Ex,W2Ex)
+[xxx,BiasCol]=size(W2Ex);
+W2Ex(:,BiasCol)=W2Ex(:,BiasCol)+UnitMean*W2Ex(:,unit);
+W1Ex(unit,:)=[];
+W2Ex(:,unit)=[];

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第15章 真题-城市供水量预测/P15-3/DrawBiasedUnitOut.m

@@ -1,3 +1,11 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:358ca7b3bafeb23ba225940b7baf8fc9edb16edb2224e1ed5e7ef0567e8bf131
-size 276
+%�Ӻ�����������ڶ�����m�ļ��У�����ΪDrawBiasedUnitOut.m
+%���Ʊ�׼���С�ĵ������ڵ����
+function DrawBiasedUnitOut(UnitOut)
+[xxx,PtNum]=size(UnitOut);
+figure('Position',[300 300 400 300])
+echo off
+axis([0 PtNum 0 1])
+axis on
+grid
+hold on
+plot(1:PtNum,UnitOut,'k-')

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第15章 真题-城市供水量预测/P15-3/DrawCorrelatedUnitsOut.m

@@ -1,3 +1,12 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:265be3f4609eaf9f3c55e510ddff68f01276bba3d72d15e926cd18437e603d04
-size 299
+%�Ӻ�����������ڶ�����m�ļ��У�����ΪDrawCorrelatedUnitsOut.m
+%������������ڵ���������������
+function DrawCorrelatedUnitsOut(UnitOut1,UnitOut2)
+[xxx,PtNum]=size(UnitOut1);
+figure
+echo off
+axis([0 PtNum 0 1])
+axis on
+grid
+hold on
+plot(1:PtNum,UnitOut1,'b-')
+plot(1:PtNum,UnitOut2,'k-')

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第15章 真题-城市供水量预测/P15-3/FindUnitToCombine.m

@@ -1,3 +1,27 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9dc78c40c396dd1178414428e862b8e4374132495a444e1e4e8b386d06caf4d6
-size 659
+%�Ӻ�����������ڶ�����m�ļ��У�����ΪFindUnitToCombine.m
+%Ѱ����Ҫ�ϲ������ڵ�
+function[unit1,unit2]=FindUnitToCombine(HiddenCorr,...
+    HiddenVar,UnitsCombineThreshold,BiasCombineThreshold)
+CorrTri=triu(HiddenCorr)-eye(size(HiddenCorr));
+while(1)
+[Val,Pos]=max(abs(CorrTri));
+[MaxCorr,unit2]=max(Val);
+if(MaxCorr<UnitsCombineThreshold)
+unit1=0;unit2=0;
+break
+end
+unit1=Pos(unit2);
+if(HiddenVar(unit1)>BiasCombineThreshold&...
+        HiddenVar(unit2)>BiasCombineThreshold)
+break;
+else
+CorrTri(unit1,unit2)=0;
+end
+end
+
+if (unit1>0) return;end
+[MinVar,unit]=min(HiddenVar);
+if(MinVar<BiasCombineThreshold)
+unit1=unit;
+unit2=0;
+end

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第15章 真题-城市供水量预测/P15-3/LinearReg.m

@@ -1,3 +1,8 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3de7452644ddad55931408f7bdaaa0862adb770020e00a30016501c19e1b8faf
-size 252
+%�Ӻ�����������ڶ�����m�ļ��У�����ΪLinearReg.m
+%���Իع�
+function[a,b]=LinearReg(vect1,vect2)
+[xxx,n]=size(vect1);
+mean_v1=mean(vect1);
+mean_v2=mean(vect2);
+a=(vect1*vect2'/n-mean_v1*mean_v2)/(vect1*vect1'/n-mean_v1^2);
+b=mean_v2-a*mean_v1;

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第15章 真题-城市供水量预测/P15-3/Main1803.m

@@ -1,3 +1,224 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ec6f42fa601eb894a9a5992c68dc487df68c8e0f4273af48a551e6fcd63cc8bb
-size 7051
+%���ڵ�ϳ��������������
+function main()
+clc;close all;clear all;
+InDim=3;               %������
+OutDim=1;              %�����
+Hidden1UnitNum=7;      %��һ������ڵ���
+Hidden2UnitNum=5;      %�ڶ�������ڵ���
+AllSamNum=93;          %����ѵ���Ͳ�����������
+TrainDataNum=83;       %ѵ����������
+TestDataNum=10;        %������������
+
+%�����ڴ�ռ�
+TrainDataIn=[];
+TrainDataOut=[];
+TestDataIn=[];
+TestDataOut=[];
+%��D�̶���ѧϰ�����Ժ�Ԥ�����������
+TrainTest=load('water.txt');
+TrainTest=TrainTest';
+PredictDataIn=load('third.txt');
+PredictDataIn=PredictDataIn';
+
+%���������ݽ��г�ʼ������������0.1~0.9����
+SampleCombin=[TrainTest(1:3,:) PredictDataIn];
+A1=max(SampleCombin(1,:));
+B1=min(SampleCombin(1,:));
+A2=max(SampleCombin(2,:));
+B2=min(SampleCombin(2,:));
+A3=max(SampleCombin(3,:));
+B3=min(SampleCombin(3,:));
+C=max(TrainTest(4,:));
+D=min(TrainTest(4,:));
+InitSampleCombin1=0.8*(SampleCombin(1,:)-B1)/(A1-B1)+0.1;
+InitSampleCombin2=0.8*(SampleCombin(2,:)-B2)/(A2-B2)+0.1;
+InitSampleCombin3=0.8*(SampleCombin(3,:)-B3)/(A3-B3)+0.1;
+InitTrainTestDataOut=0.8*(TrainTest(4,:)-D)/(C-D)+0.1;
+SampleCombin=[InitSampleCombin1;InitSampleCombin2;InitSampleCombin3];
+
+TrainDataIn=SampleCombin(1:InDim,1:TrainDataNum);
+TrainDataOut=InitTrainTestDataOut(1,1:TrainDataNum);
+TestDataIn=SampleCombin(1:InDim,TrainDataNum+1:AllSamNum);
+TestDataOut=InitTrainTestDataOut(1,TrainDataNum+1:AllSamNum);
+PredictDataIn=SampleCombin(1:InDim,AllSamNum+1:end);
+
+W1=0.5*rands(Hidden1UnitNum,InDim);          %����㵽��һ������Ȩֵ
+B1=0.5*rands(Hidden1UnitNum,1);               %����㵽��һ��������ֵ
+W2=0.5*rands(Hidden2UnitNum,Hidden1UnitNum); %��һ������㵽�ڶ�������Ȩֵ
+B2=0.5*rands(Hidden2UnitNum,1);              %��һ������㵽�ڶ���������ֵ
+W3=0.5*rands(OutDim,Hidden2UnitNum);         %�ڶ�������㵽�����Ȩֵ
+B3=0.5*rands(OutDim,1);                       %�ڶ�������㵽�������ֵ
+
+lr=0.10;                                      %ѧϰ����
+Alpha=0.08;                                   %��������
+MaxEpoch=40000;                             %����ѵ������
+ErrCombine=0.001;                             %�ϳ�ʱѵ�����
+ErrGoal=0.00005;                              %Ŀ�����
+UnitsCombineThreshold=0.8;                     %�ϳ���ֵ
+BiasCombineThreshold=0.01;                     %�ϳ���ֵ
+
+%��չȨֵ����������ֵ����������Ϊ1����ֵ
+W1Ex=[W1 B1];                               
+W2Ex=[W2 B2];
+W3Ex=[W3 B3];
+%��չ����
+TrainDataInEx=[TrainDataIn' ones(TrainDataNum,1)]';
+ErrHistory=[];
+ReSizeFlag=1;
+for epoch=1:MaxEpoch
+if (ReSizeFlag==1),
+[Hidden2UnitNum,Hidden1UnitNum]=size(W2Ex);
+Hidden1UnitNum=Hidden1UnitNum-1;
+W2=W2Ex(:,1:Hidden1UnitNum);
+W3=W3Ex(:,1:Hidden2UnitNum);
+dW1Ex=zeros(size(W1Ex));
+dW2Ex=zeros(size(W2Ex));
+dW3Ex=zeros(size(W3Ex));
+ReSizeFlag=0;
+end
+
+%��������������
+Hidden1Out=logsig(W1Ex*TrainDataInEx);
+Hidden1OutEx=[Hidden1Out' ones(TrainDataNum,1)]';
+Hidden2Out=logsig(W2Ex*Hidden1OutEx);
+Hidden2OutEx=[Hidden2Out' ones(TrainDataNum,1)]';
+NetworkOut=logsig(W3Ex*Hidden2OutEx);
+%ֹͣѧϰ�ж�
+Error=TrainDataOut-NetworkOut;
+SSE=sumsqr(Error);
+%��¼ÿ��Ȩֵ�������ѵ�����
+ErrHistory=[ErrHistory SSE];
+
+if(SSE<ErrCombine),
+%�������ڵ������׼��
+Hidden1Var=var(Hidden1Out');
+Hidden2Var=var(Hidden2Out');
+%�������ڵ�������ϵ��
+Hidden1Corr=corrcoef(Hidden1Out');
+Hidden2Corr=corrcoef(Hidden2Out');
+%����һ�������Ƿ���Ҫ���ڵ���кϲ�
+[Hidden1unit1,Hidden1unit2]=FindUnitToCombine(Hidden1Corr,...
+     Hidden1Var,UnitsCombineThreshold,BiasCombineThreshold);
+
+if(Hidden1unit1>0),
+if(Hidden1unit2>0),  %�������ڵ���кϲ�
+[a,b]=LinearReg(Hidden1Out(Hidden1unit1,:),Hidden1Out(Hidden1unit2,:));
+epoch
+CombineType=11
+DrawCorrelatedUnitsOut(Hidden1Out...
+    (Hidden1unit1,:),Hidden1Out(Hidden1unit2,:));
+[W1Ex,W2Ex]=CombineTwoUnits(Hidden1unit1,Hidden1unit2,a,b,W1Ex,W2Ex);
+else                 %���ڵ㲢��ƫ��
+epoch
+CombineType=12
+DrawBiasedUnitOut(Hidden1Out(Hidden1unit1,:));
+UnitMean=mean(Hidden1Out(Hidden1unit1,:));
+[W1Ex,W2Ex]=CombineUnitToBias(Hidden1unit1,UnitMean,W1Ex,W2Ex);
+end
+ReSizeFlag=1;
+continue;
+end
+
+[Hidden2unit1,Hidden2unit2]=FindUnitToCombine(Hidden2Corr,Hidden2Var,...
+              UnitsCombineThreshold,BiasCombineThreshold);
+if(Hidden2unit1>0),
+if(Hidden2unit2>0),
+epoch
+CombineType=21
+[a,b]=LinearReg(Hidden2Out(Hidden2unit1,:),...
+    Hidden2Out(Hidden2unit2,:));
+
+DrawCorrelatedUnitsOut(Hidden2Out(Hidden2unit1,:),...
+    Hidden2Out(Hidden2unit2,:));
+[W2Ex,W3Ex]=CombineTwoUnits(Hidden2unit1,Hidden2unit2,a,b,W2Ex,W3Ex);
+else
+epoch
+CombineType=22
+DrawBiasedUnitOut(Hidden2Out(Hidden2unit1,:));
+UnitMean=mean(Hidden2Out(Hidden2unit1,:));
+[W2Ex,W3Ex]=CombineUnitToBias(Hidden2unit1,UnitMean,W2Ex,W3Ex);
+end
+ReSizeFlag=1;
+continue;
+end
+end
+
+if(SSE<ErrGoal),break,end
+if(SSE<0.27),lr=0.12;end
+%���㷽�򴫲����
+Delta3=Error.*NetworkOut.*(1-NetworkOut);
+Delta2=W3'*Delta3.*Hidden2Out.*(1-Hidden2Out);
+Delta1=W2'*Delta2.*Hidden1Out.*(1-Hidden1Out);
+%����ǰһʱ��Ȩֵ�������Ա���붯������
+dW1Ex0=lr*dW1Ex;
+dW2Ex0=lr*dW2Ex;
+dW3Ex0=lr*dW3Ex;
+%����Ȩֵ������
+dW3Ex=Delta3*Hidden2OutEx';
+dW2Ex=Delta2*Hidden1OutEx';
+dW1Ex=Delta1*TrainDataInEx';
+%Ȩֵ����
+W1Ex=W1Ex+lr*dW1Ex+Alpha*dW1Ex0;
+W2Ex=W2Ex+lr*dW2Ex+Alpha*dW2Ex0;
+W3Ex=W3Ex+lr*dW3Ex+Alpha*dW3Ex0;
+%����Ȩֵ�Ա����ʹ��
+W2=W2Ex(:,1:Hidden1UnitNum);
+W3=W3Ex(:,1:Hidden2UnitNum);
+
+end
+Hidden1UnitNum
+Hidden2UnitNum
+W1=W1Ex(:,1:InDim);
+B1=W1Ex(:,InDim+1);
+W2=W2Ex(:,1:Hidden1UnitNum);
+B2=W2Ex(:,1+Hidden1UnitNum);
+W3=W3Ex(:,1:Hidden2UnitNum);
+B3=W3Ex(:,1+Hidden2UnitNum);
+TestNNOut=BPNet(TestDataIn,W1,B1,W2,B2,W3,B3);
+TestNNOut;
+BinOut=TestNNOut>0.5;
+ErrNum=sum(TestDataOut-BinOut);
+
+%�������ѵ�����
+TrainNNOut=BPNet(TrainDataIn,W1,B1,W2,B2,W3,B3);
+TrainError=TrainDataOut-TrainNNOut;
+figure;
+hd1=plot(1:TrainDataNum,TrainError);
+set(hd1,'color',[1 0 0],'linestyle','-',...
+    'linewidth',2.2,'marker','o','markersize',6);
+hold on;
+hd2=plot(1:TrainDataNum,TrainDataOut);
+set(hd2,'color',[0 1 0],'linestyle','-',...
+    'linewidth',2.2,'marker','s','markersize',6);
+hd3=plot(1:TrainDataNum,TrainNNOut);
+set(hd3,'color',[0 0 1],'linestyle','-',...
+    'linewidth',2.2,'marker','*','markersize',6);
+grid on;axis tight;
+xlabel('����ѧϰ��������');
+ylabel('����ѧϰ���');
+legend('ѧϰ���','����ʵ��ֵ','����ѧϰֵ');
+
+%����������
+figure;
+grid on;
+hd5=plot(1:TestDataNum,TestDataOut);
+set(hd5,'color',[0 1 0],'linestyle','-',...
+    'linewidth',2.2,'marker','s','markersize',6);
+hold on;
+hd4=plot(1:TestDataNum,TestNNOut);
+set(hd4,'color',[0 0 1],'linestyle','-',...
+    'linewidth',2.2,'marker','o','markersize',6);
+xlabel('������������');
+ylabel('����������');
+axis tight;
+legend('��������ʵ��ֵ','���������ֵ');
+
+figure;
+echo off;axis on;
+grid on;axis tight;
+[xx,Num]=size(ErrHistory);
+plot(1:Num,ErrHistory,'k-');
+
+%���������Ԥ��
+PredictNNOut=BPNet(PredictDataIn,W1,B1,W2,B2,W3,B3);
+PredictDataOut=((PredictNNOut-0.1)*(C-D))/0.8+D

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第15章 真题-城市供水量预测/P15-3/third.txt

@@ -1,3 +1,31 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b1dcd0e5f7fe9f6d3ab3d61fd48e420420f232d60f2341f098530d4c962f219c
-size 431
+32.6667	5.45	3
+32	5.45	4
+31.3333	5.45	5
+33	5.45	6
+33	5.45	7
+31	5.45	1
+32.3333	5.45	2
+30	5.45	3
+30	5.45	4
+31	5.45	5
+31.3333	5.45	6
+32	5.45	7
+30.3333	5.45	1
+30.6667	5.45	2
+29	5.45	3
+30.3333	5.45	4
+31	5.45	5
+31.3333	5.45	6
+28.3333	5.45	7
+29.6667	5.45	1
+29.3333	5.45	2
+31.3333	5.45	3
+32.3333	5.45	4
+32	5.45	5
+31.6667	5.45	6
+31	5.45	7
+31.6667	5.45	1
+29.3333	5.45	2
+28.3333	5.45	3
+29.3333	5.45	4
+27	5.45	5

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第15章 真题-城市供水量预测/P15-3/water.txt

@@ -1,3 +1,93 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e9c129999bcbe359583085a6f1699fbdc0467743f94bd6c039524a93deb6a557
-size 1612
+31	4.7	7	1502180
+33	4.7	1	1512820
+34	4.7	2	1536970
+34	4.7	3	1559050
+33	4.7	4	1592310
+31	4.7	5	1545440
+33	4.7	6	1575150
+33	4.7	7	1527340
+34	4.7	1	1524160
+35	4.7	2	1568420
+35	4.7	3	1570770
+35	4.7	4	1590840
+34	4.7	5	1574940
+32	4.7	6	1560770
+28	4.7	7	1473650
+31	4.7	1	1494590
+33	4.7	2	1536030
+32	4.7	3	1543090
+22	4.7	4	1476690
+31	4.7	5	1514560
+32	4.7	6	1516680
+34	4.7	7	1519090
+33	4.7	1	1528940
+34	4.7	2	1556320
+32	4.7	3	1571340
+33	4.7	4	1554350
+32	4.7	5	1537120
+29	4.7	6	1539440
+29	4.7	7	1523710
+31	4.7	1	1559420
+27	4.7	2	1529260
+32	5	1	1523860
+32	5	2	1570280
+32	5	3	1551830
+34	5	4	1587100
+34	5	5	1613010
+29	5	6	1544010
+33	5	7	1555970
+30	5	1	1551250
+31	5	2	1575080
+35	5	3	1599690
+34	5	4	1615320
+34	5	5	1630180
+29	5	6	1587090
+32	5	7	1556830
+31	5	1	1542470
+30	5	2	1558180
+31	5	3	1586470
+32	5	4	1589070
+31	5	5	1572270
+29	5	6	1572280
+24	5	7	1471980
+28	5	1	1543220
+29	5	2	1549580
+31	5	3	1582920
+31	5	4	1566840
+28	5	5	1558000
+31	5	6	1572140
+29	5	7	1535190
+27	5	1	1540180
+27	5	2	1555850
+27	5	3	1568130
+35	5.2	2	1604340
+31	5.2	3	1597270
+28	5.2	4	1634060
+31	5.2	5	1623090
+32	5.2	6	1639780
+33	5.2	7	1603460
+31	5.2	1	1588150
+27	5.2	2	1587690
+25	5.2	3	1551020
+23	5.2	4	1527180
+25	5.2	5	1563080
+27	5.2	6	1574850
+28	5.2	7	1538920
+28	5.2	1	1541300
+28	5.2	2	1585630
+30	5.2	3	1598580
+29	5.2	4	1590660
+30	5.2	5	1602360
+32	5.2	6	1603580
+29	5.2	7	1579050
+32	5.2	1	1582710
+32	5.2	2	1639330
+35	5.2	3	1695050
+31	5.2	4	1641320
+32	5.2	5	1656090
+32	5.2	6	1658760
+32	5.2	7	1653430
+30	5.2	1	1635660
+29	5.2	2	1637270
+30	5.2	3	1607240
+27	5.2	4	1572140

matlab数学建模算法/源程序_Maltab在数学建模中的应用（详细注释）/第15章 真题-城市供水量预测/说明.txt

@@ -1,3 +1,14 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:81d4e70aeaa0f310f9bc6940d1fc1bdf68ffd4976736cb50722fb3b59d53d704
-size 328
+P15-1
+����ҳ�룺264
+��������������-���й�ˮ��Ԥ��-С����ȡ��������ˮ������
+�����ļ���Trend.m
+
+P15-2
+����ҳ�룺266
+��������������-���й�ˮ��Ԥ��-��ɫģ��Ԥ����ˮ��
+�����ļ���Main1502.m�������� gm_1_1.m
+
+P15-3
+����ҳ�룺272
+��������������-���й�ˮ��Ԥ��-�Ľ��IJ����ڵ�ϳ�BP������ģ��
+�����ļ���Main1803.m(���ļ�)