pierreqi/scilab_code · Datasets at Hugging Face

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30_02.sce

//Problem 30.02: Determine the current flowing in the 2 ohm resistor of the circuit shown in Figure 30.5 using Kirchhoff’s laws. Find also the power dissipated in the 3 ohm resistance. //initializing the variables: V = 8; // in volts R1 = 1; // in ohm R2 = 2; // in ohm R3 = 3; // in ohm R4 = 4; // in ohm R5 = 5; // in ohm R6 = 6; // in ohm //calculation: //Currents and their directions are assigned as shown in Figure 30.6. //Three loops are chosen since three unknown currents are required. The choice of loop directions is arbitrary. loop ABCDE, and loop EDGF and loop DCHG //using kirchoff rule in 3 loops //three eqns obtained //R5*I1 + (R6 + R4)*I2 - R4*I3 = V //-1*R1*I1 + (R6 + R1)*I2 + R2*I3 = 0 // R3*I1 - (R3 + R4)*I2 + (R2 + R3 + R4)*I3 = 0 //using determinants d1 = [V (R6 + R4) -1*R4; 0 (R6 + R1) R2; 0 (-1*(R3 + R4)) (R2 + R3 + R4)] D1 = det(d1) d2 = [R5 V -1*R4; -1*R1 0 R2; R3 0 (R2 + R3 + R4)] D2 = det(d2) d3 = [R5 (R6 + R4) V; -1*R1 (R6 + R1) 0; R3 (-1*(R3 + R4)) 0] D3 = det(d3) d = [R5 (R6 + R4) -1*R4; -1*R1 (R6 + R1) R2; R3 (-1*(R3 + R4)) (R2 + R3 + R4)] D = det(d) I1 = D1/D I2 = D2/D I3 = D3/D //Current in the 2 ohm resistance I = I1 - I2 + I3 //power dissipated in the 3 ohm resistance P3 = R3*I^2 printf("\n\n Result \n\n") printf("\n (a)current through 2 ohm resistor is %.2f A",I2) printf("\n (b)power dissipated in the 3 ohm resistor is %.2f W",P3)

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ex2_1.sce

//Exa:2.1 clc; clear; close; //Given: Pc=500;//poer of carrier m=0.50;//depth Pt=Pc*(1+(m^2)/2) printf("\n\n\t total power of modulated signal = %f W ",Pt);

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Ex13_6.sce

//scilab 5.4.1 //Windows 7 operating system //chapter 13 Field-Effect Transistors clc clear IDSS=12*10^-3//IDSS=saturation drain current in Ampere when VGS(gate-to-source voltage)=0V Vp=-4//Vp=pinch-off voltage VDD=30//VDD=drain supply voltage RL=5*10^3//RL=load resistance in ohms Rs=600//Rs=resistance connected to source terminal in ohms Rg=1.5*10^6//Rg=resistance connected to gate terminal in ohms //By Shockley's equation //IDS=IDSS*(1-(VGS/Vp))^2 where IDS=saturation drain current to be calculated for given value of VGS //Substituting VGS=(-ID*Rs) we get ID=IDS //ID=IDSS*(1+((ID*Rs)/Vp))^2 //ID=12*(1+((0.6*ID)/-4))^2 where ID is obtained in mA //(0.27*ID^2)-(4.6*ID)+12=0.........(1) ID1=(4.6+sqrt((4.6^2)-(48*0.27)))/(2*0.27) format("v",5) ID2=(4.6-sqrt((4.6^2)-(48*0.27)))/(2*0.27)//ID1,ID2 are the 2 roots of the above equation (1) format("v",5) disp("mA",ID1,"ID1=") disp("mA",ID2,"ID2=") if (ID1>(IDSS/10^-3)) then//IDSS is converted in terms of mA disp("mA",ID1,"As ID1>IDSS ,the value rejected is ID1=") end if (ID2>(IDSS/10^-3)) then//IDSS is converted in terms of mA disp("mA",ID2,"As ID2>IDSS ,the value rejected is ID2=") end disp("mA",ID2,"Therefore,the drain current is =") ID=ID2*10^-3//converting ID2 in terms of Ampere VDS=VDD-ID*(RL+Rs)//VDS=drain-to-source voltage disp("V",VDS,"The value of drain-to-source voltage VDS is =") VGS=-ID*Rs//VGS=gate-to-source voltage disp("V",VGS,"The value of gate-to-source voltage VGS is=") if(Vp<0 & VDS>(VGS-Vp)) disp("As Vp=(-4)<VGS<0V and VDS=12V>(VGS-Vp),it is verified that the JFET is in the saturation region of the drain characteristics") end

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32.test_Kolmogorov-Smirnov.sci

m=10; dati=grand(m,1,'exp',1/5); function [y]=fEmp(dati) m=size(dati,'r'); datis=gsort(dati,'g','i'); for i=[1:m] y(i,1)=i/m; y(i,2)=datis(i); end; y=y'; endfunction y=fEmp(dati); deff('[y]=cdfexp(lambda,x)','y=1-exp(-lambda * x)') fs=cdfexp(5,y(2,:)); m1=[1:m]/m-fs; m2=fs-[0:m-1]/m; d=max([m1,m2]) function [d]=simPValue() us=gsort(grand(m,1,'def'),'g','i'); m1=[1:m]/m-us' m2=us'-[0:m-1]/m d=max([m1,m2]) endfunction function [y]=meanP(mm) c=0; for i=[1:mm], if (simPValue()>=d), c=c+1; end; end; y=c/mm; endfunction meanP(10000) m=10; dati=grand(m,1,'chi',5); function [y]=fEmp(dati) m=size(dati,'r'); datis=gsort(dati,'g','i'); for i=[1:m] y(i,1)=i/m; y(i,2)=datis(i); end; y=y'; endfunction y=fEmp(dati); deff('[y]=cdfexp(lambda,x)','y=1-exp(-lambda * x)') fs=cdfexp(5,y(2,:)); m1=[1:m]/m-fs; m2=fs-[0:m-1]/m; d=max([m1,m2]) function [d]=simPValue() us=gsort(grand(m,1,'def'),'g','i'); m1=[1:m]/m-us' m2=us'-[0:m-1]/m d=max([m1,m2]) endfunction function [y]=meanP(mm) c=0; for i=[1:mm], if (simPValue()>=d), c=c+1; end; end; y=c/mm; endfunction meanP(10000)

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ex6_6.sce

//Solutions to Problems In applied mechanics //A N Gobby clear all; clc //initialisation of variables d=4//in p=2//ft d1=1/2//in e=13200//tonf/in^2 f=9.51//tonf/in^2 k=0.0114//tonf/in^2 //CALCULATIONS E=k*f//in tonf F=(p/(%pi/d*d^2))//tonf/in^2 //RESULTS printf('the final stress after oscillation has died aways will load/area=% f tonf/in^2',F)

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ex1_14_16.sce

//Chapter-1,Example1_14_16,pg 1-64 n=2 //BCC structure ro=5.98*10^3 //density of chromium A=50 //atomic wt of chromium N=6.023*10^26 //Avogadro's number a=((n*A)/(N*ro))^(1/3) printf(" 1) Lattice constant=") disp(a) printf("m") //for BCC r=sqrt(3)*a/4 //radius of chromium APF=(n*(4/3)*%pi*(r^3))/(a^3) printf(" 2) A.P.F. for chromium=") disp(APF)

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Example_12_5.sce

// Example 12.5 mode(0) function residual = residual(x) residual = 0.3*E*(x/a)^2*(1-.00875*(phimax-20))*(1-.000175*a/x)-qcr endfunction a = 31.2;//m E = 19.0E9;//N/m^2, from carpet plots phimax = 22.62; //deg qcr = 11632;//N/m^2 t_guess = 0.1; t = fsolve(t_guess,residual)

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15_03.sce

//Example No. 15_03 //Poisson's Equation //Pg No. 490 clear ; close ; clc ; //D2f = 2*x^2 * y^2 // f = 0 // h = 1 //Point 1 : 0 + 0 + f2 + f3 - 4f1 = 2(1)^2 * 2^2 // f2 + f3 - 4f1 = 8 //Point 2 : 0 + 0 + f1 + f4 -4f2 = 2*(2)^2*2^2 // f1 - 4f2 = f4 = 32 //Point 3 : 0 + 0 + f1 + f4 - 4f4 = 2*(1^2)*1^2 // f1 -4f3 + f4 = 2 //Point 4 : 0 + 0 + f2 + f3 - 4f4 = 2* 2^2 * 1^2 // f2 + f3 - 4f4 = 8 //Rearranging the equations // -4f1 + f2 + f3 = 8 // f1 - 4f2 + f4 = 32 // f1 - 4f3 + f4 = 2 // f2 + f3 - 4f4 = 8 A = [ -4 1 1 0 ; 1 -4 0 1 ; 1 0 -4 1 ; 0 1 1 -4] B = [ 8 ; 32 ; 2 ; 8 ] C = A\B ; mprintf('The solution is \n f1 = %f \n f2 = %f \n f3 = %f \n f4 = %f \n ', C(1),C(2),C(3),C(4))

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ext4f.sce

host('make /tmp/ext4f.o'); link('/tmp/ext4f.o','ext4f'); a=[1,2,3];b=[4,5,6];n=3;yes='yes' c=fort('ext4f',n,1,'i',a,2,'d',b,3,'d','out',[1,3],4,'d') c-(sin(a)+cos(b)) yes='no' c=fort('ext4f',n,1,'i',a,2,'d',b,3,'d','out',[1,3],4,'d') c-(a+b) //clear yes --> undefined variable : yes

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clc //Initialization of variables //part (a) D1=0.239 //ft //part (b) g=32.2 //ft/s^2 Zo=200 //ft f=0.02 l=1000 //ft D=8 //in R=3/2 //ft D=D/12 //ft k=550 //ft.lb/s to hp W=-1.04e6*D1^2/(1+152*D1^4)^(3/2) W=W/k Di=D1 V1=sqrt(2*g*Zo/(1+f*l/D*(Di/D)^4)) omega=V1/(2*R) omega=omega*60/(2*%pi) // rad/s to rpm printf('D1 = %.3f ft',D1) printf('\n Maximum power = %.1f hp',W) printf('\n omega = %d rpm',omega)

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rect_harmonic_map.sce

//// rec_harmonic_map // Harmonic map of a 3D simply-connected surface to 2D unit square // //// Syntax // uv = rect_harmonic_map(face,vertex,corner) // //// Description // face : double array, nf x 3, connectivity of mesh // vertex: double array, nv x 3, vertex of mesh // corner: double array, 4 x 1, four corners (index) on the mesh to be mapped to // corners of unit square // // uv: double array, nv x 2, uv coordinates of vertex on 2D unit square domain // //// Contribution // Author : Wen Cheng Feng // Created: 2014/03/18 // Revised: 2014/03/24 by Wen, add doc // // Copyright 2014 Computational Geometry Group // Department of Mathematics, CUHK // http://www.lokminglui.com function uv = rect_harmonic_map(face,vertex,corner) nv = size(vertex,1); bd = compute_bd(face); nbd = size(bd,1); i = find(bd==corner(1),1,'first'); bd = bd([i:end,1:i]); corner = corner([1:end,1]); ck = zeros(size(corner)); k = 1; for i = 1:length(bd) if(bd(i) == corner(k)) ck(k) = i; k = k+1; end end uvbd = zeros(nbd,2); uvbd(ck(1):ck(2),1) = linspace(0,1,ck(2)-ck(1)+1)'; uvbd(ck(1):ck(2),2) = 0; uvbd(ck(2):ck(3),1) = 1; uvbd(ck(2):ck(3),2) = linspace(0,1,ck(3)-ck(2)+1)'; uvbd(ck(3):ck(4),1) = linspace(1,0,ck(4)-ck(3)+1)'; uvbd(ck(3):ck(4),2) = 1; uvbd(ck(4):ck(4),1) = 0; uvbd(ck(4):ck(5),2) = linspace(1,0,ck(5)-ck(4)+1)'; uvbd(end,:) = []; bd(end) = []; uv = zeros(nv,2); uv(bd,:) = uvbd; in = true(nv,1); in(bd) = false; A = laplace_beltrami(face,vertex); Ain = A(in,in); rhs = -A(in,bd)*uvbd; uvin = Ain\rhs; uv(in,:) = uvin;

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clc //initialisation of variables L= 10 //ft h= 2 //ft w= 20//ft d= 3//ft n= 2 g= 32.2 //ft/sec^2 //CALCULATIONS Q= 3.33*(L-0.*h)*h^1.5 v1= Q/(w*d) H1= h+v1^2/(2*g) Q= 3.33*(L-0.1*n*H1)*(H1^1.5-(v1^2/(2*g))^1.5) //RESULTS printf (' Discharge over a weir = %.f ft^3/sec',Q)

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//Example 1.4 clc disp("(a) Gain with feedback") format(5) av=1000/(1+(0.05*1000)) disp(av," AV_mid = Av_mid / 1+beta*Av_mid =") flf=50/(1+(0.05*1000)) // in Hz disp(flf,"(b) f_Lf(in Hz) = f_L / 1+beta*Av_mid =") fhf=((50*10^3)*(1+(0.05*1000)))*10^-6 // in MHz disp(fhf,"(c) f_Hf(in MHz) = f_H * (1+beta*Av_mid) =")

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style.fontSize=12; style.displayedLabel="<table> <tr><td align=center>HH<br>Neuron</td></tr></table>"; pal1_1=xcosPalAddBlock(pal1_1,"hhn",[],style);

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//BY VINAY KUMAR //Roll No PH20MSCST11001 //NON LINEAR DYNAMICS PROJECT //POPULATION VARIATION OVER TIME FOR DIFFERENT RATES clear clc x(1)=0.5 //INITIAL POPULATION function y=f(x,r) y=r*x*(1-x) endfunction r=0.5 for i=1:1:100 x(i+1)=f(x(i),r) t(i)=i t(101)=101 i=i+1 end b = x a = t scf(13) xtitle("$\huge For \medspace Rate=0.5$") xlabel("$\huge n$") ylabel("$\huge x_{n} $") xstring(70,0.4,["$\huge Population \medspace dies \medspace out!$"]) plot(a,b,'r-.>') r=1.4 for i=1:1:100 x(i+1)=f(x(i),r) t(i)=i t(101)=101 i=i+1 end b = x a = t scf(12) xtitle("$\huge For \medspace Rate=1.4$") xlabel("$\huge n$") ylabel("$\huge x_{n} $") xstring(70,0.44,["$\huge Attains \medspace equilibrium \medspace at \medspace 0.2857143$"]) plot(a,b,'r-.>') disp("The equilibrium population for r=1.4 is") disp(b(101)) r=2 for i=1:1:100 x(i+1)=f(x(i),r) t(i)=i t(101)=101 i=i+1 end b = x a = t scf(11) xtitle("$\huge For \medspace Rate=2$") xlabel("$\huge n$") ylabel("$\huge x_{n} $") xstring(70,1.2,["$\huge Attains \medspace equilibrium \medspace at \medspace 0.5 $"]) plot(a,b,'r-.>') disp("The equilibrium population for r=2 is") disp(b(101)) r=2.4 for i=1:1:100 x(i+1)=f(x(i),r) t(i)=i t(101)=101 i=i+1 end b = x a = t scf(10) xtitle("$\huge For \medspace Rate=2.4$") xlabel("$\huge n$") ylabel("$\huge x_{n} $") xstring(90,0.57,["$\huge Attains \medspace equilibrium \medspace at \medspace 0.5833333 $"]) plot(a,b,'r-.>') disp("The equilibrium population for r=2.4 is") disp(b(101)) r=2.8 for i=1:1:100 x(i+1)=f(x(i),r) t(i)=i t(101)=101 i=i+1 end b = x a = t scf(9) xtitle("$\huge For \medspace Rate=2.8$") xlabel("$\huge n$") ylabel("$\huge x_{n} $") xstring(90,0.66,["$\huge Attains \medspace equilibrium \medspace at \medspace 0.6428571 $"]) plot(a,b,'r-.>') disp("The equilibrium population for r=2.8 is") disp(b(101)) r=3.1 for i=1:1:100 x(i+1)=f(x(i),r) t(i)=i t(101)=101 i=i+1 end b = x a = t scf(8) xtitle("$\huge For \medspace Rate=3.1$") xlabel("$\huge n$") ylabel("$\huge x_{n} $") xstring(90,0.78,["$\huge period-2 \medspace cycle$"]) plot(a,b,'r-.>') r=3.449 for i=1:1:100 x(i+1)=f(x(i),r) t(i)=i t(101)=101 i=i+1 end b = x a = t scf(7) xtitle("$\huge For \medspace Rate=3.449$") xlabel("$\huge n$") ylabel("$\huge x_{n} $") xstring(90,0.85,["$\huge period-4 \medspace cycle$"]) plot(a,b,'r-.>') r=3.54409 for i=1:1:100 x(i+1)=f(x(i),r) t(i)=i t(101)=101 i=i+1 end b = x a = t scf(6) xtitle("$\huge For \medspace Rate=3.54409$") xlabel("$\huge n$") ylabel("$\huge x_{n} $") xstring(100,0.85,["$\huge period-8 \medspace cycle$"]) plot(a,b,'r-.>') r=3.5644 for i=1:1:100 x(i+1)=f(x(i),r) t(i)=i t(101)=101 i=i+1 end b = x a = t scf(5) xtitle("$\huge For \medspace Rate=3.5644$") xlabel("$\huge n$") ylabel("$\huge x_{n} $") xstring(100,0.85,["$\huge period-16 \medspace cycle$"]) plot(a,b,'r-.>') r=3.568759 for i=1:1:100 x(i+1)=f(x(i),r) t(i)=i t(101)=101 i=i+1 end b = x a = t scf(4) xtitle("$\huge For \medspace Rate=3.568759$") xlabel("$\huge n$") ylabel("$\huge x_{n} $") xstring(100,0.85,["$\huge period-32 \medspace cycle$"]) plot(a,b,'r-.>') r=3.8 for i=1:1:100 x(i+1)=f(x(i),r) t(i)=i t(101)=101 i=i+1 end b = x a = t scf(3) xtitle("$\huge For \medspace Rate=3.8$") xlabel("$\huge n$") ylabel("$\huge x_{n} $") xstring(100,0.9,["$ \huge period-? \medspace cycle$"]) plot(a,b,'r-.>') r=4 for i=1:1:100 x(i+1)=f(x(i),r) t(i)=i t(101)=101 i=i+1 end b = x a = t scf(2) xtitle("$\huge For \medspace Rate=4$") xlabel("$\huge n$") ylabel("$\huge x_{n} $") xstring(80,0.8,["$\huge I \medspace do \medspace not \medspace know \medspace what \medspace happened! $"]) plot(a,b,'r-.>') r=4.2 for i=1:1:100 x(i+1)=f(x(i),r) t(i)=i t(101)=101 i=i+1 end b = x a = t scf(1) xtitle("$\huge For \medspace Rate=4.2$") xlabel("$\huge n$") ylabel("$\huge x_{n} $") xstring(80,0,["$\huge Negative \medspace Population??$"]) plot(a,b,'r-.>')

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clc //Initialization of variables g=9.81 //m/s^2 rho=10^3 //kg/m^3 rho2=13.6*10^3 //kg/m^3 d1=3.2 //m d2=0.6 //m //calculations z1=d1*rho/rho2 head= d2+z1 V=sqrt(2*g*head) //results printf("Efflux velocity = %.2f m/s",V) //The answer is a bit different due to rounding off error.

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P6 - Least Squares Projection.sce

clc;clear; A = [1 0;0 1;1 1]; b = [1;1;0]; disp("The given matrix A is:") disp(A); disp(b, "b: "); x = (A'*A)\(A'*b) C = x(1,1); D = x(2,1); disp(C,"C: "); disp(D,"D: "); disp("The best fit line is b = C+Dt")

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a=1.247; b=0.3; c=a*b; //say c=ΔEg printf('\n The value of ΔEg is %feV',c); d=c*0.6; //say ΔEc=d printf('\n The value of ΔEc is %feV',d); e=c-d; //say ΔEv=e printf('\n The barrier height for valence band is %feV',e);

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X = [90 100 87 96 101 86 119 118 121 114 113 106]; pi= ones(12,1); pi= pi/12; new = X.^2; npi= sum(X)*pi; T = sum(new); T = T/npi; T = T - sum(X); disp("When there are 12 regions") disp(T(1), "The test statistic is") pvalue = 1- cdfchi("PQ",T(1), 11); disp(pvalue, "The pvalue is ") X = [277 283 358 333]; pi= ones(4,1); pi= pi/4; new = X.^2; npi= sum(X)*pi; T = sum(new); T = T/npi; T = T - sum(X); disp("When there are 4 regions") disp(T(1), "The test statistic is") pvalue = 1- cdfchi("PQ",T(1), 3); disp(pvalue, "The pvalue is ")

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// Exa 3.36 clc; clear; close; format('v',5) // Given data R_B = 100;// in k ohm R_B = R_B * 10^3;// in ohm R_C = 1;// in k ohm R_C = R_C * 10^3;// in ohm V_BE = 0.3;// in V // S = 1 + Beta and Beta = I_C/I_B; V_CC = 12;// in V V_CE = 6;// in V I_C = (V_CC-V_CE)/R_C;// in A I_C = I_C * 10^3;// in mA I_B = (V_CC-V_BE)/R_B;// in A I_B = I_B * 10^6;// in µA Beta = (I_C*10^-3)/(I_B*10^-6); S = 1 + Beta; disp(S,"The stability factor is");

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//Tension Coupling calculation clc //initialisation of variables w=30//tonf m=100//tonf w1=150//tonf f=6000//lbf h=2240//lbf q=105//lbf p=135//lbf a=711.7//lbf //CALCULATIONS M=(q*h)/m//lbf R=(w*h)/w1//lbf T=M+R//lbf A=f-T//lbf T1=R+a//lbf //RESULTS printf('the Tension Coupling is=% f lbf',T1)

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style.fontSize=12; style.displayedLabel="GND"; pal9 = xcosPalAddBlock(pal9,"gnd_i",[],style); pal8 = xcosPalAddBlock(pal8,"gnd_i",[],style);

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//EX13_41 Pg-23 clc clear printf("16''s complement (A8C)_16 is : ") x=['A8C']; y=hex2dec(x);//hexadecimal to decimal conversion// z=bitcmp(y,12);//one's complement of the number// z=z+1; z2=dec2hex(z)//16's complement of the number// printf("%s",z2)

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Ex4_12.sce

// Variable Declaration R = 0.16 //Resistance(ohm) L = 1.26*10**(-3) //Inductance(H) C = 8.77*10**(-9) //Capacitance(F) l = 200.0 //Length of line(km) P = 50.0 //Power(MVA) pf = 0.8 //Lagging power factor V_r = 132000.0 //Receiving end voltage(V) f = 50.0 //Frequency(Hz) // Calculation Section w = 2 * %pi * f z = complex(R, w*L) //Series impedance per phase per km(ohm) y = complex(0, w*C) //Shunt admittance per phase per km(mho) g = (y*z)**(0.5) //propagation constant(/km) gl = g * l Z_c = (z/y)**(0.5) //Surge impedance(ohm) cosh_gl = cosh(gl) sinh_gl = sinh(gl) A = cosh_gl B = Z_c * sinh_gl C = (sinh_gl/Z_c) D = cosh_gl fi = acos(pf) //Power factor angle(radians) V_R = V_r/(3**0.5) //Receiving end voltage(V) I_R = (P*10**6/((3**0.5)*V_r))*(pf - complex(0,sin(fi)))//Receiving end current(A) V_S = (A*V_R + B*I_R) //Sending end voltage(V/phase) V_S_L = V_S * (3**0.5)*10**-3 //Sending end line voltage(kV) I_S = C*V_R + D*I_R //Sending end current(A) pf_S = cos((phasemag(I_S)*%pi/180) - (phasemag(V_S)*%pi/180)) //Sending end power factor P_S = abs(V_S*I_S)*pf_S*10**-6 //Sending end power/phase(MW) P_R = (P/3)*pf //Receiving end power/phase(MW) P_L = 3*(P_S - P_R) //Total line loss(MW) // Result Section printf('Sending end voltage , V_S = %.2f∠%.2f° kV/phase' ,abs(V_S*10**-3),phasemag(V_S)) printf('Sending end line voltage = %.2f kV' ,abs(V_S_L)) printf('Sending end current , I_S = %.2f∠%.2f° A' ,abs(I_S),phasemag(I_S)) printf('Sending end power factor = %.2f lagging' ,pf_S) printf('Total transmission line loss = %.3f MW' ,P_L) printf('NOTE : Answers are slightly different because of rounding error.')

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// Test # 7 : Input Argument #1 range test exec('./allpasslp2mb.sci',-1); [n,d]=allpasslp2mb(1.1,0.9); //!--error 10000 //Wo must lie between 0 and 1 //at line 41 of function allpasslp2mb called by : //[n,d]=allpasslp2mb(1.1,0.9)

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v=[1 2 3 4 5 6]; m=cummin(v,2); disp(m); //output // 1. 1. 1. 1. 1. 1.

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makeLibraries.sce

//Script to generate all the libraries genlib('AuxiliaryFunctions','AuxiliaryFunctions',%t) genlib('ConverterModels','ConverterModels',%t) genlib('DETmodels','DETmodels',%t) genlib('PIDtuning','PIDtuning',%t) genlib('Quantization','Quantization',%t) genlib('VHDLgeneration','VHDLgeneration',%t) genlib('VHDLgeneration','VHDLgeneration',%t) genlib('ECSSLimits','ECSSLimits',%t) genlib('AveragedModels','AveragedModels',%t) genlib('AnalogRegulators','AnalogRegulators',%t) genlib('Thermal','Thermal',%t) librarieslist()

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// Example 9.6 //Write a program that uses a function to sort an array of integers. funcprot(0); function[x]=sort(m,x) //Passing an array i.e. marks to function sort() for i=1:m // i repesents number of passes for j=2:m-i+1 // j represents number of comperision in each pass if(x(j-1)>=x(j)) then t=x(j-1); x(j-1)=x(j); x(j)=t; end end end endfunction marks=int16([40,90,73,81,35]); //creating an array named marks of 5 integers disp("Marks before sorting"); disp(marks); x=sort(5,marks); //calling sort() function disp("Marks after sorting"); disp(x);

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//All the quantities are expressed in SI units Me = 2.94; //mach number of the flow over the upper plate ue = 1000; Te = 288; //temperature of the upper plate ue = 1000; //velocity of the upper plate S = 40; //plate planform area Pr = 0.71; //Prandlt number of air at standard condition gam = 1.4; //ratio of specific heats //the recovery factor is given as r = Pr^(1/3); //for M = 2.94 T_aw = Te*(1+r*(2.74-1)); T_w = T_aw; //since the flat plate has an adiabatic wall //from the Meador-Smart equation T_star = Te*(0.5*(1+T_w/Te) + 0.16*r*(gam-1)/2*Me^2); //from the equation of state rho_star = p_star/R/T_star; //from eq.(15.3) mue_star = mue0*(T_star/T0)^1.5*(T0+110)/(T_star+110); //thus Re_c_star = rho_star*ue*c/mue_star; //from eq.(18.22) Cf_star = 0.02667/Re_c_star^0.139; //hence, the frictional drag on one surface of the plate is D_f = 1/2*rho_star*ue^2*S*Cf_star; //thus, the total frictional drag is given by D = 2*D_f; printf("\nRESULTS\n---------\nThe total frictional drag is:\n D = %5.0f N\n",D)

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clear; clc; exec(get_absolute_file_path("NeuralNetwork.sce")+"ANN_Toolbox\"+"loader.sce"); rand('seed',0); N = [2,2,1]; x = [0.9823, 0.8478002; 0.9012, 0.8403707; 0.8222, 0.8308272; 1.0000, 0.8497132; 0.4444, 0.5937547; 0.3354, 0.3076317; 0.0332, 0.0263892; 0.0221, 0.0252937; 0.0215, 0.0252294; 0.0123, 0.0242873; 0.0092, 0.0239667; 0.0043, 0.0235089; 0.9966, 0.8494233; 0.0009, 0.0232305; 0.0000, 0.0231491]'; t = [1 1 1 1 1 0 0 0 0 0 0 0 0 0 0]; lp = [0.1,0] ; W = ann_FF_init(N); T = 500; W = ann_FF_Std_online(x,t,N,W,lp, T); y = ann_FF_run(x,N,W); disp(y); s = ([]); s = [x(2,:)',y']; plot(x(2,:),"-ko"); plot(y,".-.r"); legend('Real', 'Teste');

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SCRIPT TKWAutotestManager_v114 # Generated automatically on: 20160125111641891 # Merged Files: # TKW_ROOT/contrib/TKWAutotestManager/tstp/WebServices/host/CO/CO_AMB_PR_XML.tstp # NB this references the *internal* autotest simulator rules applied when listening for async messages not the rule set autotest applies which are referenced in the main properties file SIMULATOR TKW_ROOT/config/ITK_Acknowledgements/simulator_config/test_tks_rule_config.txt VALIDATOR TKW_ROOT/config/ITK_Correspondence/validator_config/Correspondence_20111010_validator.conf STOP WHEN COMPLETE BEGIN SCHEDULES CO_AMB_PR_XML TESTS CO_AMB_PR_XML_urn:nhs-itk:interaction:primaryRecipientAmbulanceServicePatientReport-v1-0_test1 CO_AMB_PR_XML_urn:nhs-itk:interaction:primaryRecipientAmbulanceServicePatientReport-v1-0_test2 CO_AMB_PR_XML_urn:nhs-itk:interaction:primaryRecipientAmbulanceServicePatientReport-v1-0_test3 CO_AMB_PR_XML_urn:nhs-itk:interaction:primaryRecipientAmbulanceServicePatientReport-v1-0_test4 CO_AMB_PR_XML_urn:nhs-itk:interaction:primaryRecipientAmbulanceServicePatientReport-v1-0_test5 CO_AMB_PR_XML_urn:nhs-itk:interaction:primaryRecipientAmbulanceServicePatientReport-v1-0_test6 END SCHEDULES BEGIN TESTS CO_AMB_PR_XML_urn:nhs-itk:interaction:primaryRecipientAmbulanceServicePatientReport-v1-0_test1 SEND_TKW CO_AMB_PR_XML TO http://127.0.0.1:5000/syncsoap FROM http://127.0.0.1:4000/syncsoap SYNC ok WITH_PROPERTYSET base+webservices TEXT "CO_AMB_PR_XML_1: HTTP Response must be HTTP 200" CO_AMB_PR_XML_urn:nhs-itk:interaction:primaryRecipientAmbulanceServicePatientReport-v1-0_test2 CHAIN SYNC respexists TEXT "CO_AMB_PR_XML_2: "SimpleMessageResponse" must exist in the SOAP Body" CO_AMB_PR_XML_urn:nhs-itk:interaction:primaryRecipientAmbulanceServicePatientReport-v1-0_test3 CHAIN SYNC respok TEXT "CO_AMB_PR_XML_3: "SimpleMessageResponse" should contain "OK"" CO_AMB_PR_XML_urn:nhs-itk:interaction:primaryRecipientAmbulanceServicePatientReport-v1-0_test4 CHAIN SYNC CO_AMB_PR_XML___actioncorrect TEXT "CO_AMB_PR_XML_4: Action element must equal input Action suffixed with response" CO_AMB_PR_XML_urn:nhs-itk:interaction:primaryRecipientAmbulanceServicePatientReport-v1-0_test5 CHAIN SYNC synctimestampok TEXT "CO_AMB_PR_XML_5: Created Timestamp must not be less than the Created Timestamp Element in the input message" CO_AMB_PR_XML_urn:nhs-itk:interaction:primaryRecipientAmbulanceServicePatientReport-v1-0_test6 CHAIN SYNC syncmessageidsok TEXT "CO_AMB_PR_XML_6: The MessageID in the SOAP Header must not equal the MessageID in the input message" END TESTS BEGIN MESSAGES CO_AMB_PR_XML USING CO_AMB_PR_XML_urn:nhs-itk:interaction:primaryRecipientAmbulanceServicePatientReport-v1-0_template WITH NULL SOAPACTION urn:nhs-itk:services:201005:SendCDADocument-v2-0 END MESSAGES BEGIN TEMPLATES CO_AMB_PR_XML_urn:nhs-itk:interaction:primaryRecipientAmbulanceServicePatientReport-v1-0_template TKW_ROOT/contrib/ITK_2_01_Test_Messages/Correspondence/Ambulance/POCD_MT030001UK01_SOAPandDIST_Primary.xml END TEMPLATES BEGIN PROPERTYSETS webservices SET tks.HttpTransport.listenport 4000 SET tks.HttpTransport.listenaddr 127.0.0.1 END PROPERTYSETS BEGIN DATASOURCES END DATASOURCES BEGIN PASSFAIL CO_AMB_PR_XML___actioncorrect synchronousxpath /soap:Envelope/soap:Header/wsa:Action matches "^urn:nhs-itk:services:201005:SendCDADocument-v2-0Response$" ok httpok respexists synchronousxpath /soap:Envelope/soap:Body/itk:SimpleMessageResponse exists respok synchronousxpath /soap:Envelope/soap:Body/itk:SimpleMessageResponse/text() matches "^(OK|TEST_HARNESS_ID.*)$" #syncmessageidsok syncmessageidsdiffer synctimestampok synctimestampislater END PASSFAIL

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clc T=300 //K k=8.617*10^-5 //eV/K q=1.6*10**-19 //C NA=5*10^16 //cm^-3 ND=10^16 //cm^-3 A=2*10^-4//cm^2 V=4//V ni=9.65*10^9//cm^-3 epsilonx=8.854*10^-14 //F/cm Dn=21//cm^2/sec Dp=10//cm^2/sec taup=5*10^-7//sec taun=5*10^-7//sec Lp=sqrt(Dp*taup) Js=q*ni^2*[(1/ND)*sqrt(Dp/taup)+(1/NA)*sqrt(Dn/taun)] disp(Js,"Js in A/cm=") Is=A*Js disp(Is,"Is in A =")

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//calculate standard deviation clc; x=[.9 2.3 3.3 4.5 5.7 6.7]; y=[1.1 1.6 2.6 3.2 4 5]; n=6; a=((n*sum(x.*y)-(sum(x)*sum(y)))/((sum(x^2)*n)-sum(x)^2)); b=((sum(y)*sum(x^2)-(sum(x)*sum(x.*y)))/((sum(x^2)*n)-sum(x)^2)); sdy=sqrt((1/n)*sum((a*x+b-y)^2)); sdx=sdy/a; sa=sqrt(n/(n*sum(x^2)-sum(x)^2))*sdy; sb=sqrt(sum(x^2)/(n*sum(x^2)-sum(x)^2))*sdy; disp(sa,'s_a'); disp(sb,'s_b');

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//Network Theorem 1 //page no-3.35 //example3.30 //calculation of Isc (short-circuit current) disp("Applying KVL to mesh 1:"); disp("5*I1-2*I2=-2");....//equation 1 disp("Applying KVL to mesh 2:"); disp("4*I2-2*I3=-1");....//equation 2 disp("Applying KVL to mesh 3:"); disp("-2*I1-2*I2+4*I3=0");....//equation 3 disp("solving these equations we get :");...//solving equations in matrix form A=[5 -2 0;0 4 -2 ;-2 -2 4]; B=[-2 -1 0]' X=inv(A)*B; disp(X); disp("I1 = -0.64A"); disp("I2 = -0.55A"); disp("I3 = -0.59A"); a=-0.64; b=-0.55; c=-0.59; printf("\nIsc = I3 = %.2f A",a); //calculation of Rn (norton's resistance) disp("replacing the voltage source with short circuit "); z=2.2; printf("\nRn = %.1f Ohm",z); //calculation of IL (load current) n=1; i=-c*(z/(z+n)); printf("\nIL = %.2f A",i);

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// Chapter 4 Example 13 //============================================================================== clc; clear; // input data l = 0.1*10^-9; // length of one dimensional box h = 6.625*10^-34 // plancks constant in Jsec m = 9.11*10^-31 // mass of electron in Kg n = 1; // for ground state e = 1.6*10^-19 // charge of electron in columbs // Calculations E = (h^2 * n^2)/(8*m*l^2 *e ) // Energy of electron in eV // Output mprintf('Energy of an electron = %3.3f eV',E); //==============================================================================

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clc //Example 15.1 //Install Symbolic toolbox //Calculate the voltage //From figure 15.3 //Writing the KVL equation for the voltage and taking the Laplace transform syms s s=%s disp('V=(2*s*(s+9.5)/((s+8)*(s+0.5)))-2') //On solving V=(2*s-8)/((s+8)*(s+0.5)) Vp=pfss (V) Vp1=ilaplace(Vp(1)) Vp2=ilaplace(Vp(2)) v=Vp1+Vp2 disp(v,'v(t)=')

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//clear// //Example9.37:Unilateral Laplace Transform:Solving Differential Equation //Y(S) = alpha/(s(s+1)(s+2)) s = %s; syms t; alpha = 1; //Alpha value assigned as some constant one [A] = pfss(alpha/(s*(s+1)*(s+2))); F1 = ilaplace(A(1),s,t) F2 = ilaplace(A(2),s,t) F3 = ilaplace(A(3),s,t) F = F1+F2+F3 disp(F) //result // (-%e^-t)+((%e^-(2*t))/2)+(1/2 )

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clc; z = %z; syms n z1 ; X =z/((z+1)*(z+3)); X1 = denom(X); zp = roots(X1); X1 = z1/((z1+1)*(z1+3)); F1 = X1*(z1^(n-1))*(z1-zp(1)); F2 = X1*(z1^(n-1))*(z1-zp(2)); x1 = limit(F1,z1,zp(1)); disp(x1,'x1[n]=') x2 = limit(F2,z1,zp(2)); disp(x2,'x2[n]=') xt = x1+x2; disp(xt*'u(n)','xt[n]=') //x[n]=2*xt[n-1]+xt[n-3]+3*xt[n-5];F1 = X1*(z1^(n-1))*(z1-zp(1)); F1 = X1*(z1^(n-2))*(z1-zp(1)); F2 = X1*(z1^(n-2))*(z1-zp(2)); x1 = limit(F1,z1,zp(1)); disp(x1,'x1[n]=') x2 = limit(F2,z1,zp(2)); disp(x2,'x2[n]=') xt1 = x1+x2; F1 = X1*(z1^(n-4))*(z1-zp(1)); F2 = X1*(z1^(n-4))*(z1-zp(2)); x1 = limit(F1,z1,zp(1)); disp(x1,'x1[n]=') x2 = limit(F2,z1,zp(2)); disp(x2,'x2[n]=') xt3 = x1+x2; F1 = X1*(z1^(n-6))*(z1-zp(1)); F2 = X1*(z1^(n-6))*(z1-zp(2)); x1 = limit(F1,z1,zp(1)); disp(x1,'x1[n]=') x2 = limit(F2,z1,zp(2)); disp(x2,'x2[n]=') xt5 = x1+x2; disp(2*xt1*'u(n-1)'+xt3*'u(n-3)'+3*xt5*'u(n-5)',"x[n]")

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// Scilab Code Ex8.11: Page-175 (2010) c = 1; // For simplicity assume speed of light to be unity, m/s m0 = 9.1e-031; // Mass of the electron, kg E0 = 0.512; // Rest energy of electron, MeV T = 10; // Kinetic energy of electron, MeV E = T + E0; // Total energy of electron, MeV // From Relativistic mass-energy relation // E^2 = c^2*p^2 + m0^2*c^4, solving for p p = sqrt(E^2-m0^2*c^4)/c; // Momentum of the electron, MeV // As E = E0/sqrt(1-(u/c)^2), solving for u u = sqrt(1-(E0/E)^2)*c; // Velocity of the electron, m/s printf("\nThe momentum of the electron = %4.1f/c MeV", p); printf("\nThe velocity of the electron = %6.4fc", u); // Result // The momentum of the electron = 10.5/c MeV // The velocity of the electron = 0.9988c

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Filter type is: H5Z_FILTER_SCALEOFFSET Maximum value in DS1 is: 1890

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//Example 11.15 clear; clc; TAmax=60; Iomax=0.8; VImax=12; TJmax=125; Vo=5; thetaJAmax=(TJmax-TAmax)/[(VImax-Vo)*Iomax]; thetaJC=5; thetaCA=thetaJAmax-thetaJC; thetaCS=0.6; thetaSA=thetaCA-thetaCS; printf("thetaSA=%.f degCelsius/W",thetaSA); printf("\nAccording to the catalogs, a suitable heatsink example is the IERC HP1 series,"); printf("\nwhose thetaSA rating is in the range of 5 degCelsius/W to 6 degCelsius/W.");

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mdiv s = a^5 + 5*a^4*b + 10*a^3*b^2 + 10*a^2*b^3 + 5*a*b^4 + b^5: (lts: + b^5) / (ltf[0]: + b^2) = (quot: + b^3), rest 0 mdiv s = a^5 + 5*a^4*b + 10*a^3*b^2 + 9*a^2*b^3 + 7*a*b^4: (lts: + 7*a*b^4) / (ltf[0]: + b^2) = (quot: + 7*a*b^2), rest 0 mdiv s = a^5 + 5*a^4*b + 3*a^3*b^2 + 23*a^2*b^3: (lts: + 23*a^2*b^3) / (ltf[0]: + b^2) = (quot: + 23*a^2*b), rest 0 mdiv s = a^5 - 18*a^4*b + 49*a^3*b^2: (lts: + 49*a^3*b^2) / (ltf[0]: + b^2) = (quot: + 49*a^3), rest 0 mdiv s = - 48*a^5 + 80*a^4*b: (lts: + 80*a^4*b) / (ltf[0]: + b^2) = (quot: null), rest 0 multipleDivide: a^5 + 5*a^4*b + 10*a^3*b^2 + 10*a^2*b^3 + 5*a*b^4 + b^5 = + (49*a^3 + 23*a^2*b + 7*a*b^2 + b^3) * (a^2 - 2*a*b + b^2) + [Rest = - 48*a^5 + 80*a^4*b] multiDivide(a^5 + 5*a^4*b + 10*a^3*b^2 + 10*a^2*b^3 + 5*a*b^4 + b^5) = - 48*a^5 + 80*a^4*b

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Ex13_13.sce

//Chapter 13 example 13 //------------------------------------------------------------------------------ clc; clear; // Given data MTBF2 = 20000; // microwave Tx output MTBF figure MTBF3 = 60000; // power amplifier portion of MTBF // Calculations MTBF1 = (MTBF2*MTBF3)/(MTBF3-MTBF2); impr = MTBF1-MTBF2 // improvement in MTBF if power amplifier not used // output mprintf('Improvement in MTBF of transmitter if power amplifier is not used = %d hours',impr); //------------------------------------------------------------------------------

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Ex3_15.sce

//Ex:3.15 clc; clear; close; n1=1.49;// core refractive index n2=1.47;// cladding refractive index a=2;// radius in um dl=(n1-n2)/n1;// index difference v_c=2.405; y_c=(2*3.14*a*n1*(2*dl)^(0.5))/v_c;// cut off wavelength in um Y=1.31;// wavelength in um A=(v_c*Y)/(2*3.14*n1*(2*dl)^(0.5));// min core radius in um printf("The cut off wavelength =%f um", y_c); printf("\n The min core radius =%f um", A);

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12_10.sce

//developed in windows XP operating system 32bit //platform Scilab 5.4.1 clc;clear; //example 12.10 //calculation of the value of torsional constant of the wire //given data m=200*10^-3//mass(in kg) of the disc r=5*10^-2//radius(in m) of the disc T=0.2//time period(in s) of oscillation //calculation I=m*r*r/2//moment of inertia of the disc about the wire k=4*%pi^2*I/T^2//from formula of time period......T = 2*%pi*sqrt(I/k) printf('the value of torsional constant of the wire is %3.2f kg-m^2/s^2',k)

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** File Info Version: 1.0 Num Logs = 0 Num Trans = 0 Num Writers = 0 Init Tranlog = 0 Total Entries = 1 Tranlog Offset = 0 Transaction Id = 2 Index Free List = n/a Total Size of Data = 256 Data Transformation Id = 1 Index Transformation Id = 2 ** Entry Info for: 0 num: 0000000000000000 pos: 0000000000000000 len: 0000000000000100 txn: 0000000000000001 txo: 0000000000000000 flags: lk=0 tx=0 0000000000000000 01 37 00 55 01 00 00 00 00 00 00 00 00 00 00 00 .7.U............ 0000000000000010 00 00 00 00 00 00 ff ff ff ff ff ff ff ff ff ff ................ 0000000000000020 ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ................ 0000000000000030 ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ................ 0000000000000040 ff ff ff ff ff ff 00 00 00 00 00 00 00 00 00 00 ................ 0000000000000050 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ 0000000000000060 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ 0000000000000070 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ 0000000000000080 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ 0000000000000090 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ 00000000000000a0 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ 00000000000000b0 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ 00000000000000c0 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ 00000000000000d0 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ 00000000000000e0 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ 00000000000000f0 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ ** Freelist Info No freelist entries.

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example4_15.sce

//Chapter 4 //Example 4_15 //Page 82 clear;clc; cc_h=2100; cc_s=1200; rc_h=0.032; rc_s=0.05; id_s=0.09; id_h=0.075; resc_h=0.33; resc_s=0.25; units=40*10^6; u=8760; printf(" x kW - maximum demand \ny -annual load factor at which cost for both stations are same \nUnits generated per annum = %dxy kWh \n\n", u); ic_s=1+resc_s; ic_h=1+resc_h; printf("Installed capacity of steam plant = %.2fx kW \n", ic_s); printf("Installed capacity of hydro plant = %.2fx kW \n\n", ic_h); printf("STEAM STATION: \n"); ccs=cc_s*ic_s; ids=id_s*ccs; rcs=rc_s*8760; printf("Capital cost = Rs. %dx \n", ccs); printf("Interest and depreciation = Rs. %dx \n", ids); printf("Running cost/annum = Rs %dxy \n", rcs); printf("Overall cost/kWh = Rs (%dx+%dxy)/(%dxy) \n\n", ids, rcs, u); printf("HYDRO STATION: \n"); cch=cc_h*ic_h; idh=id_h*cch; rch=rc_h*8760; printf("Capital cost = Rs. %dx \n", cch); printf("Interest and depreciation = Rs. %dx \n", idh); printf("Running cost/annum = Rs %dxy \n", rch); printf("Overall cost/kWh = Rs (%dx+%dxy)/(%dxy) \n\n", idh, rch, u); y=47.46; printf("Equating operating cost, Load factor y = %.2f %% \n", y); md=units/8760/y*100; printf("Max demand = x = %.2f*10^3 kW \n", md/1000); cost=(ids*md+rcs*md*y/100); printf("Cost of generation = Rs. %.2f*10^3 \n\n", cost/1000);

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mqsc_test.tst

DEFINE CHL('TEST') + CHLTYPE(SVRCONN) + MCAUSER('') + SSLCIPH('') + SCYEXIT('') + NOREPLACE

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h5ex_t_enumatt_F03.tst

A1: [ SOLID SOLID SOLID SOLID SOLID SOLID SOLID ] [ SOLID LIQUID GAS PLASMA SOLID LIQUID GAS ] [ SOLID GAS SOLID GAS SOLID GAS SOLID ] [ SOLID PLASMA GAS LIQUID SOLID PLASMA GAS ]

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___________ | | | | | | | | | | |___________|

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Ex1_40.sce

clear // // // //Variable declaration D=180 //separation between screen and slit(cm) d=0.04 //separation between slits(cm) beta1=0.3 //fringe width(cm) //Calculation lamda=(beta1*d*10**4/D) //wavelength(cm) //Result printf("\n wavelength is %0.0f angstrom",lamda*10**4)

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//equation// s = poly(0, "s"); G=syslin('c',2/(s^2+2*s)) H=syslin('c',1/s); //characteristic equation is 1+G(s)H(s)=0 y=1+G*H r=numer(y) disp('=0',r,"characteristics equation is")

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algoritmo metodo LU.sce

clc function [L,U]=metodoLU(A) [l,c]=size(A) L=eye(l,l); for i=1:l-1 pivo=A(i,i); for j= i+1:l m=A(j,i)/pivo; A(j,:)=A(j,:)-m*A(i,:); L(j,i)=m; end end U=A; endfunction

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Example_a_2_10.sce

//Example 2_10 page no:95 clc; A=[0.34,1.2,-1.34, -0.34,-1,1.83, 1,-1,0]; B=[3, 0, 10]; X=inv(A)*B; V1=X(1); V2=X(2); V3=X(3); P=V2*5; disp(P,"the power delivered by the current source(5A) is (in W)");

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EX3_5.sce

//Finding of Total Pressure , Depth of pressure //Given T=4; rho=1000; g=9.81; l=2; b=1/2; y1=2; y2=1/3; //To Find A=(6/2)*1; A1=(l*b); A2=l*5; y3=((A1*y1)+(2*A2*y2))/(A1+2*A2); P=rho*g*A*y3;disp(y3); Ig=(l^2+(4*l*T)+T^2)/(36*(l+T)); Ycp=(Ig/(A*y3))+y3; disp("P= "+string(P)+" Newtons"); disp("Ycp ="+string(Ycp)+" meter");

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Ex15_10.sce

//Chapter 15: Antennas for Special Applications //Example 15-20.3 clc; //Variable Initialization f = 30e9 //Frequency (Hz) Tr = 300 //Receiver temperature (K) Ta = 275 //Satellite antenna temperature (K) r = 1400e3 //Height (m) c = 3e8 //Speed of light(m/s) bw = 9.6e3 //Bandwidth per channel (Hz) rcp_gain = 10 //RCP satellite gain (dBi) rain_att = 10 //Rain attenuation (dB) k = 1.4e-23 //Boltzmann's constant (J/K) snr = 10 //Required SNR (dB) ap_eff = 0.7 //Aperture efficiency (unitless) Ta_2 = 10 //Dish antenna temperature (K) //Calculations wave_lt = c/f //Wavelength (m) Ld = (wave_lt/(4*%pi*r))**2 //Spatial loss factor(unitless) Ld_db = 10*log10(Ld) //Spatial loss factor(dB) Tsys = Ta+Tr //System temperature (K) N = k*Tsys*bw //Propagation loss due to rain (W) N = 10*log10(N) //Propagation loss due to rain (dB) Dr = -rcp_gain + snr - Ld_db + N + rain_att //Antenna gain (dB) Dr = 10**(Dr/10) //Antenna gain (unitless) Dr_req = Dr/ap_eff //Required antenna gain (unitless) Dr_req_db = 10*log10(Dr_req) //Required antenna gain (dB) dish_dia = 2*wave_lt*sqrt(Dr_req/28) //Required diameter of dish (m) hpbw = sqrt(40000/Dr_req) //Half power beam width (degrees) Tsys2 = Ta_2 + Tr //System temperature(K) N2 = k*Tsys2*bw //Propagation loss due to rain(W) N2 = 10*log10(N2) //Propagation loss due to rain(dB) Pt_db = snr - Dr_req_db - rcp_gain + N2 - Ld_db + rain_att //Transmitted power (dB) Pt = 10**(Pt_db/10) //Results mprintf("The Uplink antenna gain required is %d dB",Dr_req_db) mprintf("\nThe Required dish size %.3f m",dish_dia) mprintf("\nThe HPBW is %.1f degrees",hpbw) mprintf("\nThe Downlink satellite power required is %.3f W", Pt)

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Chapter5_Example25.sce

clc clear //Input data Tc=132;//The given temperature in K Pc=37.2;//The given pressure in atms R=82.07;//Universal gas constant in cm^3 atoms K^-1 //Calculations a=(27/64)*((R)^2*(Tc)^2)/Pc;//Vander Waals constant in atoms cm^6 b=((R*Tc)/(8*Pc));//Vander Waals constant in cm^3 //Output printf('The Van der Waals constants are , \n (1) a = %3.4g atoms cm^6 \n (2) b = %3.2f cm^3 ',a,b)

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// Exa 9.2 clc; clear; close; // Given data h_sen = 798.43;// in kJ/kg L = 1984.3;// in kJ/kg H_total_wet = 2665.7; // H_total_wet= h_sen+x*L x = (H_total_wet - h_sen)/L; disp(x,"The value of x is :"); // Part (b) h_total_sup= 2961;// in kJ/kg Cps= 2.112;// in kJ/kg H_total_dry= 2782.7;// in kJ/kg // Let deltaT= T_sup-T_sat // h_total_sup = h_sen+L+h_sup = H_total_dry +Cps*deltaT deltaT= (h_total_sup-H_total_dry)/Cps;// in °C disp(deltaT,"Degree of superheat in °C is :")

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function z = f(t,y) //f(t,z) represents the sysmte of ODEs: // -the first argument should always be the independe variable // -the second argument should always be the dependent variables // -it may have more than two arguments // -y is a vector 2x1: y(1) = theta, y(2) = theta' // -z is a vector 2x1: z(1) = z , z(2) = z' z(1) = y(2) //first equation: z = theta' z(2) = 10*sin(y(1)) //second equation: z' = 10*sin(theta) endfunction ts = linspace(0,3,200); theta0 = %pi/4; dtheta0 = 0; y0 = [theta0; dtheta0]; t0 = 0; thetas = ode('rk',y0, t0, ts, 0.1, f); //the output have the same order //as the argument `y` of f() scf(1); clf(); plot2d(thetas(2,:),thetas(1,:),-5); xtitle('Phase portrait', 'theta''(t)','theta(t)'); xgrid();

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// Test #6 : Valid Input Arguments #2 exec('./iirpowcomp.sci',-1); [b,a]=iirpowcomp([0.0916,0.2749,0.2749,0.0916],[1.0000,-0.7601,0.7021,-0.2088]) disp(a); disp(b); //Scilab Output // //a= 1. -0.7601 0.7021 -0.2088 //b= 0.4660371 -0.8695094 0.8695094 -0.4660371 // //Matlab Output //b = 0.4661 -0.8695 0.8695 -0.4661 //a = 1.0000 -0.7601 0.7021 -0.2088

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sci2oct('pkg load control'); sci2oct('s=tf','s'); sci2oct('w0=2*pi*5; '); sci2oct('w1=2*pi*1e5;'); sci2oct('A0=2e5; '); sci2oct('A=A0/[(1+s/w0)*(1+s/w1)]')

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clear //Given I0=120 //A a=360.0 b=96 c=120.0 //Calculation // t=1/a I=I0*sin(%pi/3.0) a1=b/c a2=asin(a1) t=a2/(c*%pi) //Result printf("\n (i) Instantaneous value after 1/360 second is %0.2f A",I) printf("\n (ii) Time taken to reach 96 A for the first time is %0.5f S",t)

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train = csvRead("diabetes_train.csv"); test = csvRead("diabetes_test.csv"); //Separando X e y nos dados de treino X = [ones(size(train,1),1) train(:,1:10)] y = train(:,11) alpha = X'*X\X'*y // equivalente a: alpha = inv(X'*X)*X'*y //Fazendo a previsão nos dados de teste X_test = [ones(size(test,1),1) test(:,1:10)] y_test = test(:,11) y_pred = X_test*alpha //Medindo performance pelo R^2 RSS = sum((y_test-y_pred)^2) TSS = sum((y_test-mean(y_test))^2) disp("R^2=",1-RSS/TSS)

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//Comparison of head// pathname=get_absolute_file_path('10.07.sce') filename=pathname+filesep()+'10.07-data.sci' exec(filename) //Volume flow rate(in gpm) at shut off condition for N2: Q2so=N2/N1*Q1so //Volume flow(in gpm) rate at best efficiency for N2: Q2be=N2/N1*Q1be //Relation between pump heads: head_relation=(N2/N1)^2 //Head(in feet) at shut off condition for N2: H2so=(N2/N1)^2*H1so //Head(in feet) at best efficiency condition for N2: H2be=(N2/N1)^2*H1be Q1=[Q1so Q1be]; Q2=[Q2so Q2be]; H1=[H1so H1be]; H2=[H2so H2be]; plot(Q1,H1,"-o") plot(Q2,H2,"-*") xtitle('Comparison of head for both conditions','Volume Flow Rate','Head') legend('1170','1750')

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syms t b=120 Wmax=250 Wmin=100 sigmay=300 sigmae=225 FS=1.5 A=b*t Wm=(Wmax+Wmin)/2 sigmam=(Wm*10^3)/A disp(sigmam,"Mean stress=") Wv=(Wmax-Wmin)/2 sigmav=(Wv*10^3)/A disp(sigmav,"Variable stress=") 0=(sigmam/sigmay)-(sigmav/sigmae)-(1/FS)//according to Soderberg's relation t=7.64*FS disp(t,"t=")

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// Exercise D1 // ------------ // Implement the 1/3 simpson and 3/8 simpson methods // --------------------------------------------------------- function r=Simpson13(a,b,n) // a,b upper and lower limits of the integral and n the compartments if modulo(n,2) != 0 // It must consist of 2K consecutive compartments. Meaning that n must be an even number n = n + 1; // if it's not then increase it by one end; h = (b-a)/n; // set the step head = h/3; firstAndLast = f(a) + f(b); increase = h; x = a; summa = 0; for i=1:n-1 x = x + increase; if modulo(i,2) == 0 then summa = summa + (2 * f(x)); else summa = summa + (4*f(x)); end; end; r = [head * (summa + firstAndLast)] ; endfunction // --------------------------------------------------------- function r=Simpson38(a,b,n) // a,b upper and lower limits of the integral and n the compartments if modulo(n,3) != 0 // It must consist of 3K consecutive compartments. Meaning that n must be an even number n = n + (3 - modulo(n,3)) // if it's not then increase it by one end; h = (b-a)/(n); // set the step head = (3*h)/8; firstAndLast = f(a) + f(b); increase = h; x = a; summa = 0; for i=1:n-1 x = x + increase; if modulo(i,3) == 0 then summa = summa + (2 * f(x)); else summa = summa + (3 * f(x)); end; end; r = [head * (summa + firstAndLast)] ; endfunction // --------------------------------------------------------- function r=f(x) r = x * sin(x); endfunction // ---------------------------------------------------------

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//ex12 example //1-Creating interface source file // Making object files // Interface file '/tmp/ex12fi.o' // User's files '/tmp/ex12c.o'; files=G_make(['/tmp/ex12fi.o','/tmp/ex12c.o'],'ex12.dll'); //2-Link object files .o with addinter //addinter(files,'intex12',intex1_funs); exec('ex12fi.sce'); //Run Scilab functions: b=ccalc12(); if norm(b-(0:9)) > %eps then pause,end

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:********************************************************************** : Patchname: XSETCM.TST Product version: SDLC 2.04 : AUthor: James Wang Organization: STS : Customer: CANNET Date written: July 6,1990 : Description of problem: : SIO receiver was disabled. SIO hardware cause was unclear. : This patch is trying to mask off the SIO problem. : WHen last frame is transmitted, SDLC will disable the transmitter : and then this patch will force the sio to enable the receiver : no matter the receiver is disabled or still enabled. : *** To use this patch, tymfile needs specify MSIOTP(M.TYP1) **** :*************************************************************************** IF SIOEVR PATCH(900706,1000,JWANG,XSET30+30,,6) J PA1PTR,, CONPATCH(PA1PTR,,18) LI R4,000613D9 ST R4,OCPW+4,RSIO, LI R4,TXDSAB J XSET32,, CONPATCH(XSET62,,4) LHL R4,OCPW+4,RSIO CONPATCH(DTRUP1,,6) J PA1PTR,, CONPATCH(PA1PTR,,14) ST R3,OCPW,R4, LIS R3,0 ST R3,OCPW+4,R4, J DTRUP1+6,, ENDPATCH(FORCE SIO TO ENABLE RECEIVER WHEN SDLC DISABLE THE TRANSMITTER) EI

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t = 0:63; N = 32; //As 2^3 wt = 0:0.01:1; bt = [1*ones(1,N) zeros(1,N)]; //Data signal //ct = [0,0,1,1,1,0,1,0,0,1,1,1,0,0,1,1]; //Spreading code ct_polar = grand(1,64, "bet", 35,40) for i=1:length(ct_polar) if ct_polar(i)>0.45 then ct_polar(i)=1 else ct_polar(i)=0 end end //mt=bt.*ct_polar; //Product signal mt=bitxor(bt,ct_polar) Carrier = 2*sin(wt*2*%pi+(%pi/2)); //cos signal with pi/2 phase st = []; for i = 1:length(mt) st = [st mt(i)*Carrier]; //DSSS Signal end figure subplot(3,1,1) a=gca(); a.x_location ="origin"; a.y_location ="origin"; a.data_bounds = [0,-2;20,2]; plot2d2([t],bt) xlabel('t') title('Data b(t)') subplot(3,1,2) a =gca(); a.x_location ="origin"; a.y_location ="origin"; a.data_bounds = [0,-2;20,2]; plot2d2(t,ct_polar ,5) xlabel('t') title('Spreading code c(t)') subplot(3,1,3) a =gca(); a.x_location ="origin"; a.y_location ="origin"; a.data_bounds = [0,-2;20,2]; plot2d2(t,mt ,5) xlabel('t') title('Product Signal m(t)') figure subplot(3,1,1) a =gca(); a.x_location ="origin"; a.y_location ="origin"; a.data_bounds = [0,-2;20,2]; plot2d2(t,mt ,5) xlabel('t') title('Product Signal m(t)') subplot(3,1,2) a =gca(); a.x_location ="origin"; a.y_location ="origin"; a.data_bounds = [0,-2;20,2]; plot(Carrier) xlabel('t') title('Carrier Signal') subplot(3,1,3) a =gca(); a.x_location ="origin"; a.y_location ="origin"; a.data_bounds = [0,-2;20,2]; plot(st) xlabel('t') title('DS/BPSK signal s(t)')

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pathname=get_absolute_file_path('20_1.sce') filename=pathname+filesep()+'20_1data.sci' exec(filename) L25=(L16*L12+L34*L23)/(L12+L23); B1=A+ (t16*L16/6) +(t12*L12/6)*(2+(L25/L16)); B6=B1; B2= 2*A + (t12*L12/6)*(2+(L16/L25))+(t25*L25/6) +(t23*L23/6)*(2+(L34/L25)); B5=B2; B3=A + (t23*L23/6)*(2+(L25/L34)) + (t34*L34/6); B4=B3; printf("\nB1 = B6 = %f mm^2",B1); printf("\nB2 = B5 = %f mm^2",B2); printf("\nB3 = B4 = %f mm^2",B3)

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clear // // // //Variable declaration n=1 hbar=1.054*10**-34 m=1.67*10**-27 //mass of neutron(kg) a=10**-14 //size(m) //Calculation E=n**2*%pi**2*hbar**2/(2*m*a**2) //lowest energy of neutron(J) //Result printf("\n lowest energy of neutron is %0.2f MeV",E/(1.6*10**-13))

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clc; //page 9 //ex-1.3 G=175; //absolute gain Gdb=10*log10(175); //decibell gain disp('dB',Gdb,+'The decibell power gain is:');

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disp('chapter 3 ex3.4') disp('given') disp('signal amplitude Vi=15mV') disp('IBmax=500nA and I2=100*IBmax') Vi=.015 IBmax=500*10^(-9) I2=100*IBmax disp('R3=Vi/I2') R3=Vi/I2 disp('ohms',R3) disp('standard value resistor for R3=270ohms') R3=270 disp('I2=Vi/R3') I2=Vi/R3 disp('amperes',I2) disp('Vo=Av*Vi') Av=66 Vo=Av*Vi disp('volt',Vo) disp('R2=Vo/I2-R3') R2=Vo/I2-R3 disp('ohms',R2) disp('standard value resistor to give Av>66 R2=18kohms') R2=18000 disp('R1=R2||R3') R1=R2*R3/(R2+R3) disp('ohms',R1) disp('standard value resistor R1=270ohms') R1=270 disp('ohms',R1)

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//Example 3.2.3 // resistance clc; clear; close; //given data : Tc=240*10^-6;//in Nm N=100; L=40*10^-3; d=30*10^-3; B=1;//in Wb/m^2 TdBYI=N*B*L*d; I=Tc/TdBYI; //voltage per division=I*(R/100) R=100/I; disp(R*10^-3,"resistance ,R(k-ohm) = ") //UNIT IS TAKEN WRONG IN THE BOOK

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clc //initialisation of variables fx= 100 //lb f1= 200 //lb f2= 100 //lb f3= 50 //lb a1= 30 //degrees a2= 45 //degrees a3= 60 //degrees //CALCULATIONS Rx= fx+f1*cosd(a1)-f2*cosd(a2)-f3*cosd(a3) Ry= f1*sind(a1)+f2*sind(a2)-f3*sind(a3) R= sqrt(Rx^2+Ry^2) angle= atand(Ry/Rx) //RESULTS printf ('R = %.f ',R) printf (' \angle=%.1f degrees',angle)

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multTest.tst

// Mai Nou & Nathan Moder load Larc.hdl, set RAM16K[0] %X8117, // 1. li R1 23 R1 <-- 23 set RAM16K[1] %X8212, // 2. li R2 18 R2 <-- 18 set RAM16K[2] %X84F6, // 3. li R4 -10 R4 <-- -10 set RAM16K[3] %X2312, // 4. mult R3 R1 R2 R3 <-- 414 set RAM16K[4] %X2514, // 5. mult R5 R1 R4 R4 <-- -230 set RAM16K[5] %X0653, // 6. add R6 R5 R3 R6 <-- 184 set RAM16K[6] %XF000 // 7. halt ; repeat 100 { tick, tock; }

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Ex7_12.sce

// chapter 7 example 12 //----------------------------------------------------------------------------- clc; clear; // given data Zi = 72; // input impedance in ohms // A = 1.5a // area of cross section in sq.cm // Zif = Zi*[(sum of areas of cross section of various components)/(Area of cross section of the driven element )]^2 // Zif = 72*((a + 1.5a)/a)^2; // Zif = 72*(2.5*a/a)^2; Zif = 72*(2.5)^2; mprintf('Input impedance for a folded dipole = %d Ω',Zif); //------------------------------------------------------------------------------

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COSAMP.sce

/*------------------------------------------------- Auteur : Manon Cassagne & Valentin Labat Vous trouverez ci-dessous la fonction COSAMP et ses sous-fonctions d'exécution ---------------------------------------------------*/ /* ENTRÉES : X : signal donné D : dictionnaire s : un entier eps : seuil kMax : nombre maximal d'itérations SORTIES : alpha : représentation parcimonieuse de x nb_it : nombre d'itérations norme_residuel : la norme du résiduel de sortie */ function [alpha, nb_it, norme_residuel] = COSAMP(X,D,s,eps,kMax) // initialisation des variables [M,K] = size(D) // M lignes, K colonnes residuel = X // initialisation du résiduel support = [] // Initialisation du support k = 0 nb_atomes_selectionnes = 2*s while (k < kMax) & (norm(residuel) > eps) //disp(size(D)) //disp(size(residuel)) contribution = abs(D'*residuel) // Sélection nb_atomes_selectionnes = min([nb_atomes_selectionnes, size(contribution)(1)]) // Si nb_atomes_selectionnes est plus grand que le nombre de lignes de contribution (= plus grand que le nombre de colonnes de D), nb_atomes_selectionnes prend la valeur du nombre de colonnes de D [vecteurTrie,positions] = gsort(contribution)// On trie le vecteur dans l'ordre décroissant support1 = positions(1:nb_atomes_selectionnes,:)' // On selectionne les premiers (les plus grands) support = union(support,support1) // On fait une union entre les deux supports AS = D(:,support) // On sélectionne les atomes z = pinv(AS) * X // Méthode des moindres carrés zAbsolu = abs(z) alpha = zeros(K,1) for i=1:s // Rejet [valeur_max,index_max] = max(zAbsolu) alpha(support(index_max)) = z(index_max) zAbsolu(index_max) = -1 // Comme c'est des valeurs absolues, en le mettant à -1, le nombre devient le dernier (en terme de valeur)du vecteur end [ligneAlpha,colonneAlpha] = size(alpha) support = [] for i=1:ligneAlpha if ~(alpha(i) == 0) support = [support,i] // On reinitialise le support (qui va servir de support précédent à la prochaine itération) end end residuel = X - D * alpha // On met a jour le résiduel k = k+1 end nb_it = k // On met à jour le nombre d'itérations qu'a produit l'algorithme norme_residuel = norm(residuel) endfunction // Fonction qui permet l'initialisation des variables X, D,s,eps,kMax function [x,D,s,eps,kMax]=initialisationVariables() s = 39 eps = 1e-4 kMax = 1000 // Nombre max d'itérations // On lit les valeurs dans les csv associés Xtemp = read_csv("Donnees/xVal.csv",";") D = read_csv("Resultats/Dico.csv",";") // On enlève la première ligne, qui est la légende des colonnes, et on sépare en trois vecteurs x1 = Xtemp(2:99,1) x2 = Xtemp(2:99,2) x3 = Xtemp(2:99,3) // On remplace les valeurs des X qui sont considérés comme des chaines de caractère par des nombres, et on définit le séparateur du fichier csv comme étant la virgule // Pareil pour D, mais le séparateur est un point x1 = strtod(x1,",") x2 = strtod(x2,",") x3 = strtod(x3,",") D = strtod(D,".") // On choisit un des trois vecteurs à considérer x = x1 endfunction // Permet l'execution des fonctions du fichier // Decommentez la ligne qui fait appel à la fonction si vous voulez executer ce fichier seulement // Recommentez la ensuite pour que, lors de l'appel de ce fichier par d'autres fichiers, le COSAMP ne s'execute pas dès le départ function executionDuFichier() // On initialise les variables [x,D,s,eps,kMax]=initialisationVariables() // On execute le COSAMP avec les variables initialisées [alpha, nb_it, norme_residuel] = COSAMP(x,D,s,eps,kMax) disp("alpha = ",alpha) disp("nombre ditérations : ", nb_it) disp("norme du résiduel :",norme_residuel) endfunction //executionDuFichier()

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errcatch(-1,"stop");mode(2);//Example 2_7 ; ; //To Calculate highest power of spectrum seen with mono chromaic light lamda=6000 //units in armstrongs lamda=lamda*10^-8 //units in cm n=5000 e=1/n //units in cm k=e/lamda printf("The highest order spectrum Seen with monochromatic light is %.2f",k) exit();

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Exa3_16.sce

//Exa:3.16 clc; clear; close; V_a=120;//in volts I_a=20;//in amperes R_a=0.5;//in ohms K=0.05;//Motor constant (in volts/rpm) E_b=V_a-(I_a*R_a);//in volts N=E_b/K;//in rpm disp('Range of Speed Control is :'); disp('Lowest Speed (in rpm) = 0'); disp(N,'Highest Speed (in rpm)='); E_bo=0;//in volts V_a1=E_bo+(I_a*R_a);//in volts alpha=V_a1/V_a; disp('Range of duty cycle is :'); disp(alpha,'lowest value of duty cycle='); disp('Highest value of duty cycle= 1')

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Ex14_3.sce

// Estimation of resistivity due to impurity scattering of 1% of Nickel in copper lattice clc r_cu = 1.8e-8 // resistivity of pure copper in ohm-m r_Ni_cu = 7e-8 //resistivity of copper 4% Ni in ohm-m per1 = 4//impurity in percent per2 = 1 // impurity in percent printf("\n Example 14.3") r = (r_Ni_cu-r_cu)*per2/per1 // resistivity of copper 1% Ni in ohm-m printf("\n Resistivity due to impurity scattering of 1 %% of Nickel in copper lattice is %.1e ohm-m",r)

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Ex2_19.sce

clc;clear; //Example 2.19 //constants used e=.95;//Emissivity tc=5.67*10^-8;//thermal conductivity in W/m^2 K^4 //given values h=6; A=1.6; Ts=29; Tf=20; //calculation //convection rate Q1=h*A*(Ts-Tf); //radiation rate Q2=e*tc*A*((Ts+273)^4-(Tf+273)^4) Qt=Q1+Q2; disp(Qt,'the total rate of heat transfer in W')

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ex_1_15_b_ii.sce

//Example 1.15.b.ii// loading error clc; clear; close; //given data : Rv=125; // internal resistance in kilo-ohm V=60; // in volts I=1.2; // ampere Rt=V/I; Ra=Rt; Rat=((Rt/1000)*Rv)/(Rv-(Rt/1000)); Le=((Rat-(Ra/1000))/Rat)*100; disp(Le,"percentage loading error,Le(%) = ")

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SC_7.sce

// sum 7-7 clc; clear; D=500; p=0.3; E=208*10^3; sigc=320; a=1/7500; l=2000; le=l/2; W=%pi*D^2*p/4; FOS=4; Wd=W*FOS; I=Wd*l^2/(%pi^2*E); d=(64*I/%pi)^(1/4); A=%pi*d^2/4; k=d/4; d=45; //Rounding off to nearest whole number // printing data in scilab o/p window printf("d is %0.1f mm ",d);

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2021-01-22T04:15:15.512674

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EX5_14.sce

clc;funcprot(0);//Example 5.14 //Initilisation of Variables D=0.02;.....//Diameter of sphere in m Ts=350;....//Surface Temparature of sphere in K Ta=300;....//Temparature of air in K U=7;....//Velocity of air in m/s //Properties of air at 27degrees mu=15.69*10^-6;......//Viscocity in m^2/s Ma=1.8462*10^-5;.......//dynamic viscosity in kg/ms K=0.02624;........//Thermal conductivity in W/mK Pr=0.708;......//Prandtl number Mw=2.075*10^-5;...//dynamic viscosity in kg/ms Tw=77;...........//Temperature of wall //calculation Re=(U*D)/mu;....//reynolds number Nu=2+[(0.4*Re^0.5)+(0.06*Re^(2/3))]*Pr^0.4*(Ma/Mw)^(1/4);............//Nusselt number h=(Nu*K)/D;...//Heat transfer coefficient in W/m^2 K Q=h*4*%pi*(D/2)^2*(Ts-Ta);....//Heat transfer rate from plate in W disp(Q,"Heat transfer rate from plate in W:")

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q.tst

set a[31..0] 00000000000000000000000000000000 set b[31..0] 00000000000000000000000000000000 set sub 0 check s[31..0] 00000000000000000000000000000000 check C 0 check V 0 set a[31..0] 00000000000000000000000000000000 set b[31..0] 00000000000000000000000000000000 set sub 1 check s[31..0] 00000000000000000000000000000000 check C 0 check V 0 set a[31..0] 01111111111111111111111111111111 set b[31..0] 00000000000000000000000000000001 set sub 0 check s[31..0] 10000000000000000000000000000000 check C 0 check V 1 set a[31..0] 11111111111111111111111111111111 set b[31..0] 10000000000000000000000000000000 set sub 0 check s[31..0] 01111111111111111111111111111111 check C 1 check V 1 set a[31..0] 11111111111111111111111111111111 set b[31..0] 11111111111111111111111111111111 set sub 0 check s[31..0] 11111111111111111111111111111110 check C 1 check V 0 set a[31..0] 01111111111111111111111111111111 set b[31..0] 10000000000000000000000000000000 set sub 1 check s[31..0] 11111111111111111111111111111111 check C 1 check V 1 set a[31..0] 01000000000000000000000000000001 set b[31..0] 11111111111111111111111111111111 set sub 1 check s[31..0] 01000000000000000000000000000010 check C 1 check V 0 set a[31..0] 10000000000000000000000000000001 set b[31..0] 01111111111111111111111111111111 set sub 1 check s[31..0] 00000000000000000000000000000010 check C 0 check V 1

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Mux.tst

load Mux.hdl, output-file Mux.out, compare-to Mux.cmp, output-list ip1%B3.1.3 ip2%B3.1.3 s%B3.1.3 out%B3.1.3; set ip1 0, set ip2 0, set s 0, eval, output; set s 1, eval, output; set ip1 0, set ip2 1, set s 0, eval, output; set s 1, eval, output; set ip1 1, set ip2 0, set s 0, eval, output; set s 1, eval, output; set ip1 1, set ip2 1, set s 0, eval, output; set s 1, eval, output;

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ItaloOliveiraF/Sistema-de-Transmiss-o-de-Dados

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letraB.sce

////////////////////////////// //Sinal de Ana ////////////////////////////// energia_anaMetade = sum(abs(X_anaMetade).^2); largBanda = 0; for(i = 1 : length(X_anaMetade)) largBanda(i) = X_anaMetade(i); energia_anaP = sum(abs(largBanda).^2); energia_relativa(i) = energia_anaP/energia_anaMetade; end plot(f,energia_relativa) ////////////////////////////// //Sinal de Italo ////////////////////////////// energia_italoMetade = sum(abs(X_italoMetade).^2); largBanda = 0; for(i = 1 : length(X_italoMetade)) largBanda(i) = X_italoMetade(i); energia_italoP = sum(abs(largBanda).^2); energia_relativa(i) = energia_italoP/energia_italoMetade; end plot(f,energia_relativa) ////////////////////////////// //Sinal de Lara ////////////////////////////// energia_laraMetade = sum(abs(X_laraMetade).^2); largBanda = 0; for(i = 1:length(X_laraMetade)) largBanda(i) = X_laraMetade(i); energia_laraP = sum(abs(largBanda).^2); energia_relativa(i) = energia_laraP/energia_laraMetade; end plot(f,energia_relativa) ////////////////////////////// //Sinal de Luiza ////////////////////////////// energia_luizaMetade = sum(abs(X_luizaMetade).^2); largBanda = 0; for(i= 1 : length(X_luizaMetade)) largBanda(i) = X_luizaMetade(i); energia_luizaP = sum(abs(largBanda).^2); energia_relativa(i) = energia_luizaP/energia_luizaMetade; end plot(f,energia_relativa)

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HW7.sce

N=100 M=100 T=2 X=%pi h=X/N d=T/M t=0:d:T x=0:h:X u(1:N,1)=0 u(1,1:M)=0 u(N,1:M)=0 A=d/(h^2) B=d/(h^2) C=2/(h^2)+1 a(2)=0 b(2)=0 for m=1:(M-1) for n=2:(N-1) F(n)=d*t(m)*sin(x(n))+u(n,m) a(n+1)=b(n)/(C-a(n)*A) b(n+1)=(F(n)+b(n)*A)/(C-a(n)*A) end for n=(N-1):(-1):1 u(n,m+1)=a(n+1)*u(n+1,m+1)+b(n+1) end end surf(u)

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EX3_24.sce

//Calculate efficiency of transformer //Chapter 3 //Example 3.24 //page 233 clear; clc; disp("Example 3.24") kVA=50; //rating of the transformer V1=6360; //primary voltage rating V2=240; //secondary voltage rating pf=0.8 coreloss=2; //core loss in kilo watt from open circuit test Culoss=2; //copper loss at secondary current of 175A I=175; //current in amperes I2=(kVA*1000)/V2; printf("Full load secondary current,I2=%fA",I2); effi=(kVA*pf*100)/((kVA*pf)+coreloss+(Culoss*(I2/I)^2)) printf("\nEfficiency=%fpercent",effi)

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clc clear //Initalization of variables cp=0.24 h=138.8 t3=1960 //R //calculations t4d=t3-h/cp Qs=cp*(t3-t4d) work=43.9 //Btu/lb etat=work/Qs *100 //results printf("Thermal efficiency of the unit = %.1f percent",etat)

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loader.sce

load('lib') scicos_pal($+1,1)='cadsp'; scicos_pal($+1,2)='/usr/lib/scicoslab-gtk-4.4.1/macros/scicos_blocks/cadsp/cadsp.cosf'

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example2_8.sce

//example 2.8 //page 68 clc; funcprot(0); //initialisation of variable pi=3.14; theta=pi/6; Gamma=9810; d=6;//diameter A=pi*d^2/4;//area Ig=pi*d^4/64; Pdash=600;//pressure Fdash=Pdash*A; ybar=10+2+3*sin(theta); F=Gamma*A*ybar;//force hbar=ybar+Ig*(sin(theta))^2/A/ybar;//centroid Hbar=(F*hbar+Fdash*ybar)/(F+Fdash); disp(Hbar,"depth of hydrostatic pressure(ft)="); clear

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Ex5_3.sce

clc; //page 259 //problem 5.3 //Given width of each pulse W = 150 us W = 150 * 10^-6 //One cycle is a period,T = 1ms T = 1000 * 10^-6 //There are 5 messages multiplexed each utilizeallocated time pulse width = s(T_5) = T/5 T_5 = T/5 //Gaurd time(GT_5) = allocated time-pulse width = T_5-W GT_5 = T_5-W disp('Gaurd time where 5 messages multiplexed is '+string(GT_5)+' seconds') //Here there are 10 messages multiplexed each utilizeallocated time pulse width = s(T_10) = T/10 T_10 = T/10 //Gaurd time(GT_10) = allocated time-pulse width = T_10-norrow pulses width = T_10 -50* 10^-6 GT_10 = T_10 - 50 * 10^-6 disp('Gaurd time where 10 messages multiplexed is '+string(GT_10)+' seconds')

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SimUnivariate.tst

--INFO: Reading startup configuration from file PulsarLogOn.act_ssl_config -- Fuzzy Logix, LLC: Functional Testing Script for DB Lytix functions on Teradata Aster -- -- Copyright (c): 2016 Fuzzy Logix, LLC -- -- NOTICE: All information contained herein is, and remains the property of Fuzzy Logix, LLC. -- The intellectual and technical concepts contained herein are proprietary to Fuzzy Logix, LLC. -- and may be covered by U.S. and Foreign Patents, patents in process, and are protected by trade -- secret or copyright law. Dissemination of this information or reproduction of this material is -- strictly forbidden unless prior written permission is obtained from Fuzzy Logix, LLC. -- Functional Test Specifications: -- -- Test Category: Monte Carlo Simulation – Simulating Univariate Distributions -- -- Last Updated: 05-30-2017 -- -- Author: <kamlesh.meena@fuzzyl.com> -- -- BEGIN: TEST SCRIPT -----**************************************************************** ---FLSimBeta -----**************************************************************** SELECT a.SerialVal, FLSimBeta(RANDOM(), 0.0, 1.0, 1.0, 2.0) AS SimBeta FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimBradford -----**************************************************************** SELECT a.SerialVal, FLSimBradford(RANDOM(), 0.0, 1.0, 5.0) AS SimBradford FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimBurr -----**************************************************************** SELECT a.SerialVal, FLSimBurr(RANDOM(), 0.0, 1.0, 2.0, 1.0) AS SimBurr FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimCauchy -----**************************************************************** SELECT a.SerialVal, FLSimCauchy(RANDOM(), 0.0, 1.0) AS SimCauchy FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimChi -----**************************************************************** SELECT a.SerialVal, FLSimChi(RANDOM(), 0, 1, 2) AS SimChi FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimChiSq -----**************************************************************** SELECT a.SerialVal, FLSimChiSq(RANDOM(), 3) AS SimChiSq FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimCosine -----**************************************************************** SELECT a.SerialVal, FLSimCosine(RANDOM(), 0.0, 1.0) AS SimCosine FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimErlang -----**************************************************************** SELECT a.SerialVal, FLSimErlang(RANDOM(), 0.0, 1.0, 2) AS SimErlang FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimExp -----**************************************************************** SELECT a.SerialVal, FLSimExp(RANDOM(), 0.0, 1.0) AS SimExp FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimExtremeLB -----**************************************************************** SELECT a.SerialVal, FLSimExtremeLB(RANDOM(), 1.0, 1.0, 2.0) AS SimExtremeLB FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimFisk -----**************************************************************** SELECT a.SerialVal, FLSimFisk(RANDOM(), 1.0, 1.0, 2.0) AS SimFisk FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimFoldedNormal -----**************************************************************** SELECT a.SerialVal, FLSimFoldedNormal(RANDOM(), 1.0, 1.0) AS SimFoldedNormal FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimGamma -----**************************************************************** SELECT a.SerialVal, FLSimGamma(RANDOM(), 0.0, 1.0, 2.0) AS SimGamma FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimGumbel -----**************************************************************** SELECT a.SerialVal, FLSimGumbel(RANDOM(), 0.0, 1.0) AS SimGumbel FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimHypSecant -----**************************************************************** SELECT a.SerialVal, FLSimHypSecant(RANDOM(), 0.0, 1.0) AS SimHypSecant FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimInvNormal -----**************************************************************** SELECT a.SerialVal, FLSimInvNormal(RANDOM(), 1.0, 1.0) AS SimInvNormal FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimLaplace -----**************************************************************** SELECT a.SerialVal, FLSimLaplace(RANDOM(), 0.0, 1.0) AS SimLaplace FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimLogistic -----**************************************************************** SELECT a.SerialVal, FLSimLogistic(RANDOM(), 0.0, 1.0) AS SimLogistic FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimLogNormal -----**************************************************************** SELECT a.SerialVal, FLSimLogNormal(RANDOM(), 0.0, 1.0) AS SimLogNormal FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimMaxwell -----**************************************************************** SELECT a.SerialVal, FLSimMaxwell(RANDOM(), 1.0) AS SimMaxwell FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimNormal -----**************************************************************** SELECT a.SerialVal, FLSimNormal(RANDOM(), 0.0, 1.0) AS SimNormal FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimPareto -----**************************************************************** SELECT a.SerialVal, FLSimPareto(RANDOM(), 1.0, 1.0) AS SimPareto FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimPower -----**************************************************************** SELECT a.SerialVal, FLSimPower(RANDOM(), 2.0) AS SimPower FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimRayleigh -----**************************************************************** SELECT a.SerialVal, FLSimRayleigh(RANDOM(), 1.0) AS SimRayleigh FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimReciprocal -----**************************************************************** SELECT a.SerialVal, FLSimReciprocal(RANDOM(), 1.0, 100.0) AS SimReciprocal FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimSemicircular -----**************************************************************** SELECT a.SerialVal, FLSimSemicircular(RANDOM(), 0.0, 1.0) AS SimSemicircular FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimStudentsT -----**************************************************************** SELECT a.SerialVal, FLSimStudentsT(RANDOM(), 0.0, 1.0, 2.0) AS SimStudentsT FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimTriangular -----**************************************************************** SELECT a.SerialVal, FLSimTriangular(RANDOM(), -4.0, 4.0, 2.0) AS SimTriangular FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimUniform -----**************************************************************** SELECT a.SerialVal, FLSimUniform(RANDOM(), 0.0, 1.0) AS SimUniform FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1; ------------------------------------------------------------------------------------- -----**************************************************************** ---FLSimWeibull -----**************************************************************** SELECT a.SerialVal, FLSimWeibull(RANDOM(), 1.0, 2.0, 3.0) AS SimWeibull FROM fzzlSerial a WHERE a.SerialVal <= 5 ORDER BY 1;

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exa_6_1.sce

// Exa 6.1 clc; clear; close; // Given data I_DSS= 10;// in mA V_P= -4;// in V V_GS=[-4:0.1:0]; //V_GS= -3; I_D= I_DSS*(1-V_GS/V_P)^2 plot(V_GS,I_D); xlabel("V_GS in volts"); ylabel("I_D in mA") title("The transfer curve") disp("Curve is shown in figure")

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clc; //e.g 8.9 Ib=125*10**-6; beta=200; Ic=beta*Ib; disp('mA',Ic*10**3,"Ic="); Ie=Ib+Ic; disp('mA',Ie*10**3,"Ie=");

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/Mesher/Surface Remesher/LexicalTriangulation.sce

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LexicalTriangulation.sce

clear all; clc; funcprot(0) printf("Hello\n") //############################################################################## function [rlexlist, tempPointList]=SortLexicographically2D(pointList) listSize = size(pointList)(1); tempPointList = pointList; rlexlist = linspace(1,listSize,listSize) //========== Sort by x for i=listSize:-1:1 for j=(i-1):-1:1 if (tempPointList(i,1)<tempPointList(j,1)) tempPointx = tempPointList(j,1); tempPointy = tempPointList(j,2); tempIndex = rlexlist(j); tempPointList(j,1)=tempPointList(i,1); tempPointList(j,2)=tempPointList(i,2); rlexlist(j) = rlexlist(i) tempPointList(i,1)=tempPointx; tempPointList(i,2)=tempPointy; rlexlist(i) = tempIndex end end end //========== Sort by y for i=listSize:-1:1 for j=(i-1):-1:1 if ((abs(tempPointList(i,1)-tempPointList(j,1) )<0.0000001) & (tempPointList(i,2)<tempPointList(j,2))) tempPointx = tempPointList(j,1); tempPointy = tempPointList(j,2); tempIndex = rlexlist(j); tempPointList(j,1)=tempPointList(i,1); tempPointList(j,2)=tempPointList(i,2); rlexlist(j) = rlexlist(i) tempPointList(i,1)=tempPointx; tempPointList(i,2)=tempPointy; rlexlist(i) = tempIndex end end end endfunction //############################################################################## function valid = CheckValidTri2D(v1,v2,v3) vert1=[v1(1) v1(2) 0]; vert2=[v2(1) v2(2) 0]; vert3=[v3(1) v3(2) 0]; AB = vert2-vert1; nAB = AB/norm(AB); BC = vert3-vert2; nBC = BC/norm(BC); if (abs(nAB*nBC')>0.999999) then valid=%F; return; end crossP = cross(AB,BC) crossP = crossP/norm(crossP) disp(crossP) if (crossP(3)<0) then //valid=%F; //return; end valid=%T endfunction N = 10; //Number of points points=[ 0.0982278226 0.333627197 0.7653228931 0.2347061365 0.2558645175 0.8037821481 0.3081272112 0.8671842781 0.8975283975 0.1435997586 0.2429157385 0.1533325249 0.2663349204 0.4709250691 0.3667177816 0.2964881263 0.3963756175 0.5602469026 0.4162725839 0.6990938702 ] [lexlist,sorted]=SortLexicographically2D(points) disp(lexlist) disp(sorted) scf(0); clf(); scatter(points(1:N),points(1:N,2),,"black",".") a=gca() a.axes_visible = ["off" "off" "off"]; a.box = "off" sleep(1000); for i=1:(N-2) j=i+1; k=1; iter=0; foundTriangle=%F while (~foundTriangle) combo = [lexlist(i) lexlist(j) lexlist(j+k)]; disp(combo) foundTriangle = CheckValidTri2D(points(combo(1),1:2),points(combo(2),1:2),points(combo(3),1:2)) if (~foundTriangle) then k=k+1; end if (k>N) then break; end iter=iter+1; if (iter>100) foundTriangle=%T; end end if foundTriangle then combo = [lexlist(i) lexlist(j) lexlist(j+k)]; pointsToPlot=[ points(combo(1),1:2) points(combo(2),1:2) points(combo(3),1:2) points(combo(1),1:2) ] disp(pointsToPlot) plot2d(pointsToPlot(1:4,1),pointsToPlot(1:4,2)) end end a=gca() a.axes_visible = ["off" "off" "off"]; a.box = "off" printf("Bye\n")

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// 2.33 clc; E_20=0.112*10^-3;// emf at 20degree C E_900=8.446*10^-3; E_1200=11.946*10^-3; E1=E_900-E_20; E2=E_1200-E_20; //E1=1.08*R1/(R1+2.5+R2 (i) //E2=1.08*(R1+2.5)/(R1+2.5+R2 (ii) //on solving (i) and (ii) R1=5.95; R2=762.6; printf("Value of resistance R1=%.2f ohm",R1) printf("\nValue of resistance R2=%.2f ohm",R2)