pierreqi/scilab_code · Datasets at Hugging Face

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/X3/Section 7 -Tools Environmental Effects/7.1 Joachim Diepstraten, Mike Eißele/cubetexturetest.tst

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//Example No. 15.8.2 clc; clear; close; format('v',6); Nm_D=400;//electron/cm^3(Maximum electron density) Nm_E=5*10^5;//electron/cm^3(Maximum electron density) Nm_F=2*10^6;//electron/cm^3(Maximum electron density) fc_D=9*sqrt(Nm_D);//kHz(critical frequency of D-layer) disp(fc_D,"Critical frequency for D-layer in kHz : "); fc_E=9*sqrt(Nm_E);//kHz(critical frequency of E-layer) disp(fc_E/1000,"Critical frequency for E-layer in MHz : "); fc_F=9*sqrt(Nm_F);//kHz(critical frequency of F-layer) disp(fc_F/1000,"Critical frequency for F-layer in MHz : ");

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/test_0802_figure4_step_responses/graph_stepresponse_experiment01.sce

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clear data_00;clear data_01;clear data_02;clear data_03;clear data_04; data_00 = fscanfMat('./DATA_storage_experiment1/Figure4_experiment1_case00.txt'); // time Vout Vin data_01 = fscanfMat('./DATA_storage_experiment1/Figure4_experiment1_case01.txt'); data_02 = fscanfMat('./DATA_storage_experiment1/Figure4_experiment1_case02.txt'); data_03 = fscanfMat('./DATA_storage_experiment1/Figure4_experiment1_case03.txt'); data_04 = fscanfMat('./DATA_storage_experiment1/Figure4_experiment1_case04.txt'); //temp_1=[mean(data_00(7000:8000,2)); mean(data_01(7000:8000,2)); mean(data_02(7000:8000,2)); mean(data_03(7000:8000,2)); mean(data_04(7000:8000,2))]; //mean(temp_1); // constant = 1.324 data_00(:,4) = 1.324 - data_00(:,2); data_01(:,4) = 1.324 - data_01(:,2); data_02(:,4) = 1.324 - data_02(:,2); data_03(:,4) = 1.324 - data_03(:,2); data_04(:,4) = 1.324 - data_04(:,2); scf(1);clf(1); //plot2d("nn", data_00(:,1), data_00(:,2));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 1;p.children.mark_mode = 'on';p.children.line_mode = 'off'; //plot2d("nn", data_00(:,1), data_00(:,3));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 2;p.children.mark_mode = 'on';p.children.line_mode = 'off'; plot2d("nn",data_00(:,1), data_00(:,3));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 1;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_00(:,2));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 2;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_01(:,2));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 3;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_02(:,2));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 4;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_03(:,2));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 5;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_04(:,2));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 6;p.children.line_mode = 'on';p.children.mark_mode = 'off'; //plot2d("nn",range_gm , fit_gm);p = get("hdl"); p.children.line_style = 1; p.children.foreground = 2;p.children.line_mode = 'on';p.children.mark_mode = 'off'; a=gca();a.data_bounds(1,1)=-0.5E-04;a.data_bounds(1,2)=1.15;a.data_bounds(2,1)=4.5E-04;a.data_bounds(2,2)=1.35; //a=gca();a.data_bounds(1,1)=-0.1;a.data_bounds(1,2)=0;a.data_bounds(2,1)=0.2;a.data_bounds(2,2)=20; //legend("Target program 100nA","Target program 50nA","Target program 10nA","in_upper_left"); // "in_upper_left" "in_lower_right" xtitle("","time [s]","V [V]"); scf(2);clf(2); //plot2d("nn", data_00(:,1), data_00(:,2));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 1;p.children.mark_mode = 'on';p.children.line_mode = 'off'; //plot2d("nn", data_00(:,1), data_00(:,3));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 2;p.children.mark_mode = 'on';p.children.line_mode = 'off'; //plot2d("nn",data_00(:,1), data_00(:,3));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 1;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_00(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 2;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_01(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 3;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_02(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 4;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_03(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 5;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_04(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 6;p.children.line_mode = 'on';p.children.mark_mode = 'off'; //plot2d("nn",range_gm , fit_gm);p = get("hdl"); p.children.line_style = 1; p.children.foreground = 2;p.children.line_mode = 'on';p.children.mark_mode = 'off'; //a=gca();a.data_bounds(1,1)=-0.5E-04;a.data_bounds(1,2)=1.15;a.data_bounds(2,1)=4.5E-04;a.data_bounds(2,2)=1.35; //a=gca();a.data_bounds(1,1)=-0.1;a.data_bounds(1,2)=0;a.data_bounds(2,1)=0.2;a.data_bounds(2,2)=20; //legend("Target program 100nA","Target program 50nA","Target program 10nA","in_upper_left"); // "in_upper_left" "in_lower_right" xtitle("","time [s]","Vconstant - Vout [V]"); scf(3);clf(3); //plot2d("nn", data_00(:,1), data_00(:,2));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 1;p.children.mark_mode = 'on';p.children.line_mode = 'off'; //plot2d("nn", data_00(:,1), data_00(:,3));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 2;p.children.mark_mode = 'on';p.children.line_mode = 'off'; //plot2d("nn",data_00(:,1), data_00(:,3));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 1;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",data_00(:,1), data_00(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 2;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",data_00(:,1), data_01(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 3;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",data_00(:,1), data_02(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 4;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",data_00(:,1), data_03(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 5;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",data_00(:,1), data_04(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 6;p.children.line_mode = 'on';p.children.mark_mode = 'off'; //plot2d("nn",range_gm , fit_gm);p = get("hdl"); p.children.line_style = 1; p.children.foreground = 2;p.children.line_mode = 'on';p.children.mark_mode = 'off'; a=gca();a.data_bounds(1,1)=-0.5E-04;a.data_bounds(1,2)=1E-03;a.data_bounds(2,1)=1.0E-04;a.data_bounds(2,2)=1E-01; //a=gca();a.data_bounds(1,1)=-0.1;a.data_bounds(1,2)=0;a.data_bounds(2,1)=0.2;a.data_bounds(2,2)=20; //legend("Target program 100nA","Target program 50nA","Target program 10nA","in_upper_left"); // "in_upper_left" "in_lower_right" xtitle("","time [s]","Vconstant - Vout [V]"); //polyfit [p_00,S_00]=polyfit(data_00(1200:1300,1), log(data_00(1200:1300,4)),1); [p_01,S_01]=polyfit(data_01(1200:1500,1), log(data_01(1200:1500,4)),1); [p_02,S_02]=polyfit(data_02(1200:1800,1), log(data_02(1200:1800,4)),1); [p_03,S_03]=polyfit(data_03(1200:2200,1), log(data_03(1200:2200,4)),1); [p_04,S_04]=polyfit(data_04(1200:2500,1), log(data_04(1200:2500,4)),1); // Eval range_00 = data_00(1200,1):70E-09:data_00(1300,1); range_01 = data_01(1200,1):70E-09:data_01(1500,1); range_02 = data_02(1200,1):70E-09:data_02(1800,1); range_03 = data_03(1200,1):70E-09:data_03(2200,1); range_04 = data_04(1200,1):70E-09:data_04(2500,1); fit_00 = polyval(p_00,range_00,S_00); fit_01 = polyval(p_01,range_01,S_01); fit_02 = polyval(p_02,range_02,S_02); fit_03 = polyval(p_03,range_03,S_03); fit_04 = polyval(p_04,range_04,S_04); scf(4);clf(4); plot2d("nl",data_00(1200:1300,1), data_00(1200:1300,4));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 1;p.children.mark_mode = 'on';p.children.line_mode = 'off'; plot2d("nl",data_01(1200:1500,1), data_01(1200:1500,4));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 2;p.children.mark_mode = 'on';p.children.line_mode = 'off'; plot2d("nl",data_02(1200:1800,1), data_02(1200:1800,4));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 3;p.children.mark_mode = 'on';p.children.line_mode = 'off'; plot2d("nl",data_03(1200:2200,1), data_03(1200:2200,4));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 4;p.children.mark_mode = 'on';p.children.line_mode = 'off'; plot2d("nl",data_04(1200:2500,1), data_04(1200:2500,4));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 5;p.children.mark_mode = 'on';p.children.line_mode = 'off'; plot2d("nl",range_00, exp(fit_00));p = get("hdl"); p.children.line_style = 1; p.children.thickness = 2; p.children.foreground = 1;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",range_01, exp(fit_01));p = get("hdl"); p.children.line_style = 1; p.children.thickness = 2; p.children.foreground = 2;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",range_02, exp(fit_02));p = get("hdl"); p.children.line_style = 1; p.children.thickness = 2; p.children.foreground = 3;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",range_03, exp(fit_03));p = get("hdl"); p.children.line_style = 1; p.children.thickness = 2; p.children.foreground = 4;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",range_04, exp(fit_04));p = get("hdl"); p.children.line_style = 1; p.children.thickness = 2; p.children.foreground = 5;p.children.line_mode = 'on';p.children.mark_mode = 'off'; a=gca();a.data_bounds(1,1)=0;a.data_bounds(1,2)=1E-03;a.data_bounds(2,1)=10.0E-05;a.data_bounds(2,2)=1E-01; xtitle("","time [s]","Vconstant - Vout [V]"); //disp(-1/p_00(1,1)*1E06); disp(-1/p_01(1,1)*1E06); disp(-1/p_02(1,1)*1E06); disp(-1/p_03(1,1)*1E06); disp(-1/p_04(1,1)*1E06); //disp(-1/p_00(1,1)*169*1E-09*1E12); disp(-1/p_01(1,1)*169*1E-09*1E12); disp(-1/p_02(1,1)*169*1E-09*1E12); disp(-1/p_03(1,1)*169*1E-09*1E12); disp(-1/p_04(1,1)*169*1E-09*1E12); disp(-1/p_00(1,1)*1E06); disp(-1/p_01(1,1)*1E06); disp(-1/p_02(1,1)*1E06); disp(-1/p_03(1,1)*1E06); disp(-1/p_04(1,1)*1E06); disp(-1/p_00(1,1)*145*1E-09*1E12); disp(-1/p_01(1,1)*145*1E-09*1E12); disp(-1/p_02(1,1)*145*1E-09*1E12); disp(-1/p_03(1,1)*145*1E-09*1E12); disp(-1/p_04(1,1)*145*1E-09*1E12);

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// Initialisations ... s = poly(0,'s'); s = syslin('c',s*s/s); // approx(G,ll) returns approximation of G by elts in ll deff('res=approx(G,ll)',... ['res=0'; 'n=length(ll)'; 'for k=1:n,res=res+ll(k);end'; 'res=res+horner(clean(G-res),0)']) // W3dg1(p) returns p(0) (p degree one) deff('res=w3dg1(p)','res=horner(p,0)+0*poly(0,''s'')'); // W3dg2(p) returns p1 with damping(p1) = k damping(p) deff('p1=w3dg2(p,k)',... ['damp=coeff(p,1)'; 'p1=poly([coeff(p,0),k*damp,coeff(p,2)],''s'',''coeff'')';]) Gr=(s+1)*(s-1)*(s+2)*(s^2+0.3*s+1)/((s+0.5)*(s^2*(s^2-0.1*s+2)*(s^2+0.1*s+1))); G=Gr/s; r=size(G); fmin=0.01;fmax=10; frq=calfrq(G,fmin,fmax); W=pfss(G,'c'); W(1)=clean(w(1)); appr=[];yesno=[]; for k=1:size(w); appr=[appr;'G'+string(k-1);];yesno=[yesno;'yes']; end yesno=x_mdialog("Choose elements",appr,yesno) appr=' '; for k=1:size(w)-1; if yesno(k)=='yes' then appr=appr+'W('+string(k)+'),';end end k=size(w); if yesno(k)=='yes' then appr=appr+'W('+string(k)+')';end execstr('bode([G;approx(G,list('+appr+'))],frq)') [lnum,dcgain]=factors(G,'c'); nb=length(lnum); denominators=[]; numerators=[]; for k=1:nb, lnumk=lnum(k); denominators=[denominators;pol2str(lnumk)]; if degree(lnumk)==1 then numerators=[numerators;pol2str(w3dg1(lnumk))];end if degree(lnumk)==2 then numerators=[numerators;pol2str(w3dg2(lnumk,2))];end end Numerators=x_mdialog('Denominators Numerators',Denominators,Numerators); // J(s) Js=1; for k=1:nb, Js=Js*evstr(numerators(k))/evstr(denominators(k)); end sp=poly(0,'s'); Ms=sp+1;Ns=(sp+1); mnns=x_mdialog("Choose Ms and Ns",[pol2str(Ms);'1/'+pol2str(sp+1)],... [pol2str(Ms);'1/'+pol2str(sp+1)]); Ms=evstr(Mnns(1)); Ns=evstr(Mnns(2)); Sys1=sysdiag(1,1,1,1,Ms);Sys2=sysdiag(1,Ns); W5is=[]; for k=1:nb W5is=[W5is;'W5'+string(k)]; end w5=x_mdialog('Choose W5i s',W5is,string(ones(nb,1))); ww5=[]; for k=1:nb;ww5(k)=evstr(w5(k));end Rg=[diag(ww5');ones(ww5')]*[W(1)+W(2);W(2);W(3);W(4)]; U=[0,-1;1,-1]; amin = 0; amax = 2; while (amax -amin)/amax > 1e-2, a = (amin + amax)/2; write(%io(2),a,'(f6.4)') w3=(1/2)*horner((1+s^3),s/a)*w3coeff; P=sysdiag(tf2ss(w3),Rg)*U; Ptmp=Sys1*P*Sys2; [sk,mu]=H_inf(Ptmp,r,0.8,1.2,1); if mu == [] then amin = a; else amax = a; end end w3=(1/ab)*horner((1+s^3),s/amin)*w3coeff; P=sysdiag(tf2ss(w3),Rg)*U; //xbasc(); xset("window",1);gainplot([w3;errmul],.1,1,0.005); Ptmp=Sys1*P*Sys2; [Ktmp,mu]=H_inf(Ptmp,r,0.9,1.1,30); K=ss2tf(Ktmp)/s; ks=trfmod(K); olp=ks*proc; rep2 = repfreq(ks,frq); xbasc(2); xset("window",2);xselect();nyquist(olp,0.03,0.8,0.00015); m_circle(20*log(2.05)/log(10));xset("dashes",0); sensit = rep1 ./(rep3 + rep1.*rep2); xbasc(3); xset("window",3);xselect();gainplot(frq,[sensit;rep1;rep2],['G/(1+KG)';'G';'K']); www=lft(Ptmp,Ktmp); xbasc(5);xset("window",5);xselect(); gainplot(www,0.01,10); www1=lft(ss2tf(P),r,ks); xbasc(6);xset("window",6);xselect(); gainplot(www1,0.01,10,['W3G/(1+KG)';'W50G0/(1+KG)';'W51G1/(1+KG)';'W52G2/(1+KG)']);

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clc P1 = 0.5 // Initial pressure in MPa V1 = 0.2 // Initial volume in m^3 V2 = 0.05 // Final volume in m^3 n = 1.3 // Polytropic index printf("\n Example 7.7") P2 = P1*(V1/V2)^n function y = f(p) y = ((P1*V1^n)/p)^(1/n) endfunction H = integrate('f','p',P1,P2) // H = H2-H1 U = H-(P2*V2-P1*V1) W12 = -U printf("\n Change in enthalpy is %f kJ",H*1e3) printf("\n Change in internal energy is %f kJ",U*1000) printf("\n The change in entropy and heat transfer are is %d kJ",0) printf("\n The work transfer during the process is %f kJ",W12*1000) //The answers vary due to round off error

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1_2.sce

//Basic Circuit Concepts //page no-1.10 //example1.2 disp("from the given fig:") disp("I2-I3=13"); disp("-20*I1+8*I2=0"); disp("-12*I1-16*I3=0"); //solving these equations in the matrix form A=[0 1 -1;-20 8 0;-12 0 -16] B=[13 0 0]' disp("A=") disp(A) disp("B=") disp(B) X=inv(A)*B disp("X=") disp(X) disp("I1 = 4Ampere") disp("I2 = 10Ampere") disp("I3 = -3Ampere")

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clc; clear all; disp("Boundary layer thickness") //uU=X //y/delta=Y //X=2*Y-Y^2; L=1.1;//m length of plate w=0.9;// m width of plate Re=2*10^5;// Reynold's number v=0.15*10^(-4);//m^2/s stokes kinematic viscocity U=12;//m/s velocity ofair x=Re*v/U; disp("m",x,"Maximum distance from the leading edge upto which laminar boundary layer exists, x =") delta=5.48*x*1000/(Re)^0.5;//mm disp("mm",delta,"Maximum thickness of boundary layer =")

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ex_oqpskdemod.sce

clear; clc; exec('genqammod.sci') exec('oqpskmod.sci') exec('intdump.sci') exec('oqpskdemod.sci') exec('genqamdemod.sci') clc; M =4; x =0:M-1; y = oqpskmod(x) disp(y,'QPSK modulated output=') z = oqpskdemod(y) disp(z,'QPSK demodulated output=') //RESULT //QPSK modulated output= //column 1 to 2 //0.7071068 0.7071068 + 0.7071068i //column 3 to 4 //0.7071068 + 0.7071068i 0.7071068 - 0.7071068i //column 5 to 6 //- 0.7071068 - 0.7071068i - 0.7071068 + 0.7071068i //column 7 to 8 //- 0.7071068 + 0.7071068i - 0.7071068 - 0.7071068i //column 9 // - 0.7071068i //QPSK demodulated output= // 0. 1. 2. 3.

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clc BE=60 //in m GD=BE GH=40 HB=80 HD=GH+GD CB=48/0.4// by solving similar triangles CHD and CBE printf('CB = %f m',CB)

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clc; clear; mprintf('MACHINE DESIGN \n Timothy H. Wentzell, P.E. \n EXAMPLE-3.5 Page No.53\n'); L=30; //[in] Length of link d=5/8; //[in] Diameter of link I=%pi*d^4/64; //[in^4] Moment of inertia A=%pi*d^2/4; //[in^2] Area of cross section E=30*10^6; //[lb/in^2] Modulus of elasticity r=sqrt(I/A); //[in] Radius of gyration mprintf('\n The radius of gyration %f in.',r); K=1; //[] End support condition factor Le=K*L; //[in] Effective length mprintf('\n Effective length is %f in',Le); SR=Le/r; //[] Slenderness ratio mprintf('\n Slenderness ratio is %f.',SR) Sy=42000; //[lb/in^2] Yield strength Cc=sqrt(2*%pi^2*E/Sy); //[] Column constant mprintf('The column constant is %f.',Cc); if SR>Cc then mprintf('\n Slenderness ratio is greater than column constant, so use the euler formula') end I=%pi*d^4/64; //[in^4] Moment of inertia mprintf('\n The moment of inertia is %f in^4',I); Pc=%pi^2*E*I/Le^2; //[lb] Critical force //Note- In the book I=0.0075 in^4 is used instead of I=0.0074901 in^4 mprintf('\n The critical force is %f lb.',Pc);

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; defining a sort with the same name (set-logic QF_UF) (declare-sort A 0) (define-sort A () Bool)

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Ex5_5.sce

funcprot(0); // Initialization of Variable function[dms]=degtodms(deg) d = int(deg) md = abs(deg - d) * 60 m = int(md) sd = (md - m) * 60 sd=round(sd*100)/100 dms=[d m sd] endfunction MST=12+32.0/60+15.0/3600//mean sidereal time in hr RA=15+45.0/60+10.0/3600;//RA in hr theta=55+14.0/60+20.0/3600//latitude delta=15+24.0/60+30.0/3600//declination alpha=35+44.0/60+10.0/3600//zenith distance //calculation c=90-theta; p=90-delta; z=90-alpha; H=acos(cos(z*%pi/180)/sin(c*%pi/180)/sin(p*%pi/180)-1/(tan(p*%pi/180)*tan(c*%pi/180))) H=H/15*180/%pi; LST=RA-H; CE=MST-LST; CE=degtodms(CE); disp(CE,"chronometer error in hours,min,sec respectively (fast)"); clear()

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Example1_2.sce

//Chapter-1,Example1_2,pg 1_18 Eav=9 Erms=10 Rm=500 Idc=2*10^-3 Edc=0.9*Erms Rs=(Edc/Idc)-Rm printf("required multiplier resistance") printf("Rs=%.2f ohm \n",Rs )

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//ques14 disp('To find the inverse laplace transform of the function'); syms s t a f=s^2/(s-2)^3; il=ilaplace(f,s,t); disp(il);

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~BivLCM-SR-bfas_nw_hrz_ind-PLin-VLin.tst

THE OPTIMIZATION ALGORITHM HAS CHANGED TO THE EM ALGORITHM. ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 1 2 3 4 5 ________ ________ ________ ________ ________ 1 0.443402D+00 2 -0.579900D-02 0.359482D-02 3 -0.167686D-01 0.153987D-02 0.214048D+00 4 0.101423D-02 -0.121605D-03 -0.185498D-02 0.179230D-02 5 -0.363983D-03 -0.357517D-04 -0.132689D-02 -0.689447D-05 0.203273D-02 6 0.324398D-03 -0.316152D-04 0.531057D-03 0.582159D-04 -0.268973D-04 7 0.461951D-03 -0.419625D-04 0.498251D-03 -0.279281D-04 -0.278541D-03 8 0.161168D-02 -0.130313D-03 -0.393584D-03 0.171643D-04 0.615336D-04 9 0.381232D+00 -0.384311D-01 0.191746D+00 -0.103346D-01 0.378669D-01 10 0.140077D+00 -0.552717D-02 -0.183352D-01 -0.291741D-02 0.123772D+00 11 0.679777D-02 -0.274950D-01 -0.298299D-02 -0.309020D-02 0.262521D-01 12 -0.242537D+00 -0.129306D-01 -0.425219D+00 0.473687D-01 0.191180D-01 13 0.111633D+00 0.357503D-03 -0.427192D-01 -0.109797D-02 -0.200629D-01 14 0.325033D+00 -0.111055D-01 -0.456598D+00 0.723780D-02 0.202679D-01 15 0.787700D+00 0.757528D-01 0.816554D+00 -0.979285D-02 -0.886935D-01 16 0.591149D-01 0.518401D-03 0.443769D-02 0.273845D-02 -0.243502D-03 17 -0.624267D-02 0.294588D-03 -0.927801D-03 0.216714D-03 -0.575827D-03 18 0.884150D+00 -0.108822D-01 -0.934949D-01 -0.192310D-01 0.861843D-04 19 -0.231044D-01 -0.340104D-02 -0.327382D-01 0.196818D-02 0.217756D-02 20 -0.252890D+00 -0.388834D-02 -0.448306D+00 -0.266873D-01 -0.298519D-01 21 0.405493D-01 0.658959D-02 0.435602D-01 -0.438493D-02 0.144287D-03 22 -0.259243D-02 0.251994D-03 -0.100040D-03 0.313345D-03 -0.738120D-04 23 -0.654523D-02 -0.604173D-04 0.315958D-02 -0.496197D-02 -0.647580D-04 24 0.970096D-03 0.175419D-03 -0.210240D-02 0.116831D-03 0.971474D-04 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 6 7 8 9 10 ________ ________ ________ ________ ________ 6 0.924931D-03 7 0.432249D-03 0.184868D-02 8 -0.293997D-03 0.895868D-04 0.238433D-02 9 0.856903D-02 -0.282508D-02 0.198755D-01 0.989256D+02 10 -0.151121D-02 -0.519414D-02 -0.741736D-03 0.633679D+00 0.261602D+02 11 0.419786D-01 0.415623D-01 -0.183309D-01 -0.896229D+01 0.250331D+01 12 -0.596002D-02 -0.292587D-01 0.641437D-01 0.624006D+01 0.124124D+01 13 0.498805D-01 0.749112D-01 -0.173886D-01 -0.116066D+01 -0.326263D+01 14 -0.278850D-01 0.731769D-02 0.180264D+00 0.328544D+01 0.621203D+01 15 0.367471D-01 0.784797D-01 -0.441433D-01 -0.114749D+02 -0.997119D+01 16 -0.152884D-02 -0.150061D-02 0.206574D-02 0.721657D+00 -0.659554D-01 17 0.189669D-04 -0.151866D-03 0.150299D-03 -0.191043D+00 -0.874528D-01 18 -0.354816D-01 -0.644986D-01 0.334374D-01 0.114682D+02 -0.417725D+00 19 -0.716625D-02 0.107271D-01 0.107618D-01 0.436262D-01 0.678713D+00 20 -0.120042D-03 -0.926640D-02 -0.123222D+00 -0.379287D+01 -0.239339D+01 21 0.903327D-02 -0.101985D-01 -0.132718D-01 -0.329241D+00 -0.284112D+00 22 -0.217996D-03 -0.221119D-03 -0.386340D-04 -0.565271D-01 -0.261890D-01 23 -0.488346D-03 -0.343201D-03 0.886246D-03 -0.875077D-01 -0.553550D-01 24 0.674771D-04 0.417857D-04 -0.339720D-03 0.219090D-01 0.917024D-02 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 11 12 13 14 15 ________ ________ ________ ________ ________ 11 0.446214D+02 12 0.378143D+01 0.121019D+03 13 -0.119481D+00 -0.461701D+01 0.161014D+02 14 -0.591555D+00 0.110596D+02 -0.174294D+00 0.451443D+02 15 0.638140D+01 0.204513D+01 0.661773D+01 -0.840209D+00 0.515423D+03 16 -0.366226D-01 0.254656D+00 -0.895296D-02 0.146650D+00 0.578089D+01 17 0.714323D-03 -0.152336D-01 -0.156170D-01 -0.524856D-01 -0.259424D+01 18 -0.473792D+01 0.175212D+01 -0.648113D+01 0.338509D+01 -0.364950D+02 19 0.271765D+01 0.372329D+01 -0.882060D+00 0.644993D+00 -0.486885D+01 20 0.230114D+01 -0.252403D+02 0.114072D+01 -0.177798D+02 0.202601D+02 21 -0.200590D+01 -0.380135D+01 0.834325D+00 -0.649813D+00 0.431516D+01 22 -0.817911D-01 -0.182176D-01 -0.176031D-01 -0.169449D-01 0.308867D-01 23 0.610037D-01 0.423203D+00 0.755955D-01 0.127795D+00 -0.956513D+00 24 0.139017D-01 -0.295046D-01 0.695777D-03 -0.487967D-01 -0.547077D-02 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 16 17 18 19 20 ________ ________ ________ ________ ________ 16 0.803775D+00 17 -0.707521D-01 0.286845D-01 18 -0.170624D+00 0.907968D-01 0.169008D+03 19 -0.470353D-01 0.462104D-01 0.890315D+00 0.471151D+01 20 -0.598951D+00 -0.271427D-01 0.494542D+01 -0.153656D+01 0.135899D+03 21 -0.238217D-01 -0.274830D-01 0.112940D+01 -0.441121D+01 0.294074D+01 22 0.825725D-02 0.951851D-03 -0.781992D+00 -0.230162D-01 -0.447861D-01 23 -0.145661D-02 0.789684D-02 0.808727D+00 0.880514D-01 0.157243D+01 24 0.528223D-02 0.183809D-03 -0.113805D+00 -0.684695D-03 -0.627694D+00 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 21 22 23 24 ________ ________ ________ ________ 21 0.518059D+01 22 -0.129415D-01 0.907352D-02 23 -0.566555D-01 -0.395694D-02 0.239161D+00 24 -0.672058D-02 0.776318D-03 -0.205604D-01 0.745330D-02 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 1 2 3 4 5 ________ ________ ________ ________ ________ 1 1.000 2 -0.145 1.000 3 -0.054 0.056 1.000 4 0.036 -0.048 -0.095 1.000 5 -0.012 -0.013 -0.064 -0.004 1.000 6 0.016 -0.017 0.038 0.045 -0.020 7 0.016 -0.016 0.025 -0.015 -0.144 8 0.050 -0.045 -0.017 0.008 0.028 9 0.058 -0.064 0.042 -0.025 0.084 10 0.041 -0.018 -0.008 -0.013 0.537 11 0.002 -0.069 -0.001 -0.011 0.087 12 -0.033 -0.020 -0.084 0.102 0.039 13 0.042 0.001 -0.023 -0.006 -0.111 14 0.073 -0.028 -0.147 0.025 0.067 15 0.052 0.056 0.078 -0.010 -0.087 16 0.099 0.010 0.011 0.072 -0.006 17 -0.055 0.029 -0.012 0.030 -0.075 18 0.102 -0.014 -0.016 -0.035 0.000 19 -0.016 -0.026 -0.033 0.021 0.022 20 -0.033 -0.006 -0.083 -0.054 -0.057 21 0.027 0.048 0.041 -0.046 0.001 22 -0.041 0.044 -0.002 0.078 -0.017 23 -0.020 -0.002 0.014 -0.240 -0.003 24 0.017 0.034 -0.053 0.032 0.025 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 6 7 8 9 10 ________ ________ ________ ________ ________ 6 1.000 7 0.331 1.000 8 -0.198 0.043 1.000 9 0.028 -0.007 0.041 1.000 10 -0.010 -0.024 -0.003 0.012 1.000 11 0.207 0.145 -0.056 -0.135 0.073 12 -0.018 -0.062 0.119 0.057 0.022 13 0.409 0.434 -0.089 -0.029 -0.159 14 -0.136 0.025 0.549 0.049 0.181 15 0.053 0.080 -0.040 -0.051 -0.086 16 -0.056 -0.039 0.047 0.081 -0.014 17 0.004 -0.021 0.018 -0.113 -0.101 18 -0.090 -0.115 0.053 0.089 -0.006 19 -0.109 0.115 0.102 0.002 0.061 20 0.000 -0.018 -0.216 -0.033 -0.040 21 0.130 -0.104 -0.119 -0.015 -0.024 22 -0.075 -0.054 -0.008 -0.060 -0.054 23 -0.033 -0.016 0.037 -0.018 -0.022 24 0.026 0.011 -0.081 0.026 0.021 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 11 12 13 14 15 ________ ________ ________ ________ ________ 11 1.000 12 0.051 1.000 13 -0.004 -0.105 1.000 14 -0.013 0.150 -0.006 1.000 15 0.042 0.008 0.073 -0.006 1.000 16 -0.006 0.026 -0.002 0.024 0.284 17 0.001 -0.008 -0.023 -0.046 -0.675 18 -0.055 0.012 -0.124 0.039 -0.124 19 0.187 0.156 -0.101 0.044 -0.099 20 0.030 -0.197 0.024 -0.227 0.077 21 -0.132 -0.152 0.091 -0.042 0.084 22 -0.129 -0.017 -0.046 -0.026 0.014 23 0.019 0.079 0.039 0.039 -0.086 24 0.024 -0.031 0.002 -0.084 -0.003 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 16 17 18 19 20 ________ ________ ________ ________ ________ 16 1.000 17 -0.466 1.000 18 -0.015 0.041 1.000 19 -0.024 0.126 0.032 1.000 20 -0.057 -0.014 0.033 -0.061 1.000 21 -0.012 -0.071 0.038 -0.893 0.111 22 0.097 0.059 -0.631 -0.111 -0.040 23 -0.003 0.095 0.127 0.083 0.276 24 0.068 0.013 -0.101 -0.004 -0.624 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 21 22 23 24 ________ ________ ________ ________ 21 1.000 22 -0.060 1.000 23 -0.051 -0.085 1.000 24 -0.034 0.094 -0.487 1.000

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clear //Given t=5000 //Days t1=2000.0 a=0.693 //Calculation // dt=(a*t)/t1 N=log10(dt) l=a*N/(t1) //Result printf("\n (i) The fraction remaining after 5000 days is %0.3f ",N) printf("\n (ii) The activity of sample after 5000 days is %0.1f *10**8 Bq",l*10**5)

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block_doc_gen_fcn.sce

global block_doc_name block_doc_list block_doc_ni block_doc_no block_doc_pl block_doc_bdt block_doc_bdf; function dir_callback() disp(" "); endfunction function block_doc_name_callback() global block_doc_name block_doc_list; block_name_obj = findobj('tag','block_doc_name'); block_doc_name = block_name_obj.string; file_list=listfiles("/home/ubuntu/rasp30/sci2blif/documentation/blocks_latex/text/*.tex"); block_doc_list=[""]; size_flist=size(file_list,1); for ii=1:size_flist temp_file_list=strsplit(file_list(ii),["/";"."],100); block_doc_list(ii)=temp_file_list(9); if block_doc_list(ii) == block_doc_name then messagebox('You already have the block in doc list. This will overwrite it.', "warning", "warning"); end end endfunction function block_doc_ni_callback() global block_doc_ni; block_obj = findobj('tag','block_doc_ni'); block_doc_ni = block_obj.string; endfunction function block_doc_no_callback() global block_doc_no; block_obj = findobj('tag','block_doc_no'); block_doc_no = block_obj.string; endfunction function block_doc_pl_callback() global block_doc_pl; block_obj = findobj('tag','block_doc_pl'); block_doc_pl = block_obj.string; endfunction function block_doc_bdt_callback() global block_doc_bdt; block_obj = findobj('tag','block_doc_bdt'); block_doc_bdt = block_obj.string; [a1,b1]=unix_g("ls "+block_doc_bdt); // b1: 0 if no error occurred, 1 if error. if (b1~=0) then messagebox('Incorect file path or name. Please check it again.', "Block Description Text error", "error"); abort; end endfunction function block_doc_bdf_callback() global block_doc_bdf; block_obj = findobj('tag','block_doc_bdf'); block_doc_bdf = block_obj.string; [a1,b1]=unix_g("ls "+block_doc_bdf); // b1: 0 if no error occurred, 1 if error. if (b1~=0) then messagebox('Incorect file path or name. Please check it again.', "Block Description Text error", "error"); abort; end endfunction function Gen_block_doc_callback() global block_doc_name block_doc_list block_doc_ni block_doc_no block_doc_pl block_doc_bdt block_doc_bdf; fd_w= mopen("/home/ubuntu/rasp30/sci2blif/documentation/blocks_latex/text/"+block_doc_name+".tex",'wt'); mputl("\pagebreak",fd_w); mputl("",fd_w); temp_bdn=strsplit(block_doc_name,["_";],100); size_temp_bdn=size(temp_bdn); temp_name1=temp_bdn(1); for i=2:size_temp_bdn(1) temp_name1=temp_name1+"\_"+temp_bdn(i); end mputl("Block name: "+temp_name1,fd_w); mputl("",fd_w); mputl("Number of inputs: "+block_doc_ni,fd_w); mputl("",fd_w); mputl("Number of outputs: "+block_doc_no,fd_w); mputl("",fd_w); temp_pl=strsplit(block_doc_pl,["_";],100); size_temp_pl=size(temp_pl); temp_name2=temp_pl(1); for i=2:size_temp_pl(1) temp_name2=temp_name2+"\_"+temp_pl(i); end mputl("Parameter list: "+temp_name2,fd_w); mputl("",fd_w); mputl("Block description: ",fd_w); mclose(fd_w); unix_w("cat /home/ubuntu/rasp30/sci2blif/documentation/blocks_latex/text/"+block_doc_name+".tex "+block_doc_bdt+" > /home/ubuntu/rasp30/sci2blif/documentation/blocks_latex/text/"+block_doc_name+".tex1"); unix_w("mv /home/ubuntu/rasp30/sci2blif/documentation/blocks_latex/text/"+block_doc_name+".tex1 /home/ubuntu/rasp30/sci2blif/documentation/blocks_latex/text/"+block_doc_name+".tex"); temp_string=strsplit(block_doc_bdf,["/";"."],100); size_temp_string=size(temp_string,1); unix_w("cp "+block_doc_bdf+" /home/ubuntu/rasp30/sci2blif/documentation/blocks_latex/figures/"+block_doc_name+"."+temp_string(size_temp_string)); fd_w= mopen("/home/ubuntu/rasp30/sci2blif/documentation/blocks_latex/text/"+block_doc_name+".tex",'a'); mputl("",fd_w); mputl("\begin{figure}[H] % jpg, png, or pdf",fd_w); mputl("\includegraphics[width=300pt]{/home/ubuntu/rasp30/sci2blif/documentation/blocks_latex/figures/"+block_doc_name+"."+temp_string(size_temp_string)+"}",fd_w); mputl("\end{figure}",fd_w); mputl("",fd_w); mclose(fd_w); file_list=listfiles("/home/ubuntu/rasp30/sci2blif/documentation/blocks_latex/text/*.tex"); block_doc_list=[""]; size_flist=size(file_list,1); for ii=1:size_flist temp_file_list=strsplit(file_list(ii),["/";"."],100); block_doc_list(ii)=temp_file_list(9); end block_doc_list=gsort(block_doc_list,"g",'i'); fd_w= mopen("/home/ubuntu/rasp30/sci2blif/documentation/blocks_latex/block_list.tex",'wt'); for ii=1:size_flist mputl("\input{/home/ubuntu/rasp30/sci2blif/documentation/blocks_latex/text/"+block_doc_list(ii)+".tex}",fd_w); end mclose(fd_w); [a,b]=unix_g("cd /home/ubuntu/rasp30/sci2blif/documentation/blocks_latex/ && pdflatex /home/ubuntu/rasp30/sci2blif/documentation/blocks_latex/block_doc.tex"); if b == 1 then messagebox("Texlive for latex compilation is not installed. It will install Texlive and take some time. Do not turn off it", "Texlive not installed yet!", "scilab"); unix_g("sudo apt-get install texlive"); end [a,b]=unix_g("acroread /home/ubuntu/rasp30/sci2blif/documentation/blocks_latex/block_doc.pdf &"); if b == 1 then messagebox("Install Adobe Reader via the Documents menu. ", "Adode Reader not installed yet!", "scilab"); end endfunction

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//To calculate the free volume per unit cell r = 0.1249; //atomic radius, nm a = 4*r/sqrt(3); //lattice constant, nm a_m = a*10^-9; //lattice constant, m V = a_m^3; //volume of unit cell, m^3 PF = 0.68; //packing factor for BCC FV = 1 - PF; //free volume FV1 = FV*V; //free volume per unit cell, m^3 printf("free volume per unit cell in m^3 is"); disp(FV1);

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Ex14_4.sce

clc// // // //Variable declaration V=9500; //volume(m^3) T=1.5; //time(s) x=100; //absorption(sabines) //Calculation sigma_as=0.165*V/T; //total absorption in the hall(OWU) T=0.165*V/(sigma_as+x); //new period of reverberation(s) //Result printf("\n total absorption in the hall is %0.3f OWU",sigma_as) printf("\n new period of reverberation is %0.3f s",T)

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//Exa 7.1 clc; clear; close; //Given data : Ii=100000;//in Rs Ar=30000;//in Rs n=5;//in years //Formula : (P/A,i,n)=(((1+i/100)^n)-1)/((i/100)*(1+i/100)^n) // when i=10 % i1=10;//in % per annum PW1=-Ii+Ar*(((1+i1/100)^n)-1)/((i1/100)*(1+i1/100)^n);//in RS disp(PW1,"The present worth for i=10% in RS. : "); // when i=15 % i2=15;//in % per annum PW2=-Ii+Ar*(((1+i2/100)^n)-1)/((i2/100)*(1+i2/100)^n);//in RS disp(PW2,"The present worth for i=15% in RS. : "); // when i=18 % i3=18;//in % per annum PW3=-Ii+Ar*(((1+i3/100)^n)-1)/((i3/100)*(1+i3/100)^n);//in RS disp(PW3,"The present worth for i=18% in RS. : "); disp("Present worth for i=15% is suitable."); i=15+(PW2-0)*(i3-i2)/(PW2-PW3);//in Rs. disp(i,"Therefore, the rate of return for the new business in % per annum :");

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//Book Name:Fundamentals of Electrical Engineering //Author:Rajendra Prasad //Publisher: PHI Learning Private Limited //Edition:Third ,2014 //Ex5_7.sce. clc; clear; A=5e-4; l=0.4; N=200; mew_r=380; mew_not=4e-7*%pi; mew=mew_r*mew_not; printf("\n (a)") R=(l*1e-6)/(mew*A); printf("\n Reluctance of the core=%1.4f*10^6 AT/Wb \n",R) printf("\n (b)") phi=800e-6; //flux in weber F=phi*1e6*R; I=F/N; printf("\n Magnetizing current=%1.4f A \n",I) //Answer vary dueto round off error

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// Ex4_2 clc; // Given: t1=1.3*10^9;// in years w=0.0119;// wt % // Solution: N=(w*6.022*10^23)/(40*100); k=(0.693*60)/(t1*3.16*10^7); sa=N*k;// specific activity printf("The specific activity is = %f dis min^-1 g^-1",sa)

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//What will be the equivalent radius of bundle conductor having its part conductors 'r' on the periphery of circle of dia'd' if the number of conductors is 2,3,4 ,6 ? clear clc; r=poly(0,"r"); D11=r^1; D12=2*r; D14=4*r D13=sqrt(16-4)*r; Ds1=((1*2*2*sqrt(3)*4*2*sqrt(3)*2*2)^(1/7))*r; Ds7=((2*1*2*2**2*2*2)^(1/7))*r;//we get this after Taking r outside the 1/7th root Ds=((((1*2*2*sqrt(3)*4*2*sqrt(3)*2*2)^(1/7))^6)*((2*1*2*2**2*2*2)^(1/7)))^(1/7)*r; Dseq=((.7788)^(1/7))*Ds; disp(Dseq,"Dseq.= ");

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// ELECTRIC POWER TRANSMISSION SYSTEM ENGINEERING ANALYSIS AND DESIGN // TURAN GONEN // CRC PRESS // SECOND EDITION // CHAPTER : 12 : CONSTRUCTION OF OVERHEAD LINES // EXAMPLE : 12.4 : clear ; clc ; close ; // Clear the work space and console // GIVEN DATA T1 = 3000 ; // Bending moments in lb T2 = 2500 ; // Bending moments in lb h1 = 37.5 ; // Bending moments at heights in ft h2 = 35.5 ; // Bending moments at heights in ft h_g = 36.5 ; // Height at which Guy is attached to pole in ft L = 15 ; // Lead of guy in ft // CALCULATIONS // For case (a) T_h = ( T1*h1 + T2*h2 )/h_g ; // Horizontal component of tension in guy wire in lb . From equ 12.26 // For case (b) bet = atand(h_g/L) ; // beta angle in degree . From equ 12.28 // For case (c) T_v = T_h * tand(bet) ; // Vertical component of tension in guy wire in lb . From equ 12.34 // For case (d) T_g = T_h/( cosd(bet )) ; // Tension in guy wire in lb . From equ 12.29 T_g1 = sqrt( T_h^2 + T_v^2 ) ; // Tension in guy wire in lb // DISPLAY RESULTS disp("EXAMPLE : 12.4 : SOLUTION :-") ; printf("\n (a) Horizontal component of tension in guy wire , T_h = %.1f lb \n",T_h) ; printf("\n (b) Angle β , β = %.2f degree \n",bet) ; printf("\n (c) Vertical component of tension in guy wire , T_v = %.2f lb \n",T_v) ; printf("\n (d) Tension in guy wire , T_g = %.1f lb \n",T_g) ; printf("\n (or) From another equation , \n") ; printf("\n Tension in guy wire , T_g = %.1f lb \n",T_g1) ;

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clear; clc; printf("\t\t\tProblem Number 6.8\n\n\n"); // Chapter 6: The Ideal Gas // Problem 6.8 (page no. 246) // Solution //For CO2, R=8.314/44; //Unit:kJ/kg*K //constant of proportionality //Molecular weight of CO2=44 p=500; //Unit:kPa //pressure V=0.5; //Unit:m^3 //volume T=(100+273); //Unit:K //Celsius converted to kelvin //Applying p*V=m*R*T , m=(p*V)/(R*T); //mass //kg //ideal gas law printf("The mass of gas in the tank is %f kg\n",m);

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clc // initialization of variables clear // Material properties and dimensions E=72 //G Pa P=10 //kN Q=5 //kN Aab=150 //mm^2 Abc=900 //mm^2 Acd=900 //mm^2 Ade=900 //mm^2 Abd=150 //mm^2 Abe=150 //mm^2 Lab=2 //m Lbc=2.5 //m Lbd=1.5 //m Lbe=2.5 //m Lcd=2 //m Lde=2 //m //calculations E=E*10^9 P=P*10^3 Q=Q*10^3 Aab=150 Aab=Aab*10^-6 Abc=Abc*10^-6 Acd=Acd*10^-6 Ade=Ade*10^-6 Abd=Abd*10^-6 Abe=Abe*10^-6 M=0 Nab=4/3*(Q+2*P)-5*M/(3*Lbe) dNab=-5/(3*Lbe) Nbc=-5/3*(Q+P) dNbc=0 Nbd=Q dNbd=0 Nbe=5*P/3-4/3*M/Lbe dNbe=-4/(3*Lbe) Ncd=-4*P/3+5/3*M/Lbe dNcd=5/(3*Lbe) Nde=Ncd thBE=Nab*Lab*dNab/(E*Aab)+Nbc*Lbc*dNbc/(E*Abc)+Nbd*Lbd*dNbd/(E*Abd)+Nbe*Lbe*dNbe/(E*Abe)+2*Ncd*Lcd*dNcd/(E*Lcd) printf('The rotation of member BE is %.5f rad',thBE) // Wrong answer in the text

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clc; clear; mtlb_close all; function stairs(x, y) n=length(x); x_indices=int((1:2*n-1)/2)+1; // gives 1,2,2,3,3,...,2n-1,2n-1 x_ss=x(x_indices); // the stair step graph's x values y_indices=int((2:2*n)/2); // gives 1,1,2,2,...,2n-2,2n-2,2n-1 y_ss=y(y_indices) plot2d(x_ss,y_ss) endfunction function gflim(lim) ax=gca(),// gat the handle on the current axes a = ax.data_bounds a(3:$) = lim ax.data_bounds=a; endfunction function y=c2d(x, p) y = ss2tf(cls2dls(tf2ss(syslin('c',x)),p)) endfunction function yz = dsim(G,u) yz = dsimul(tf2ss(Gz),u); endfunction s = %s; z = %z; pi = %pi; // Modelo para o motor CC function F = Motor() Ra=8; La=170e-3; B=3e-3; Jrotor=12e-3; Jcarga=36e-3; J=Jrotor+Jcarga; kaphif=0.5; G = 1/(Ra+s*La)*kaphif*1/(B+s*J); F = G/(1+kaphif*G); F = syslin('c',F); // circuito endfunction // Verificar motor sem controlador function vfMotor() G = Motor() endTime = 60; t = 0:1e-3:endTime; u = (-sin(t/endTime*2*pi*3)>0) .* 1; u = u*0.5 + 0.8; y = csim(u,t,G) plot(t,u); // mtlb_hold on plot(t,y,'r') legend('Entrada','Velocidade angular') endfunction //vfMotor(); function [Gc,Gs,T] = GeraCompensador(Mp,T5) Gs = Motor(); [Gs_z Gs_p Gs_k] = tf2zp(Gs); //Compensador com cancelamento de polos e zeros //Mp = 1;//Sobressinal em % //Mp=exp(-pi*(zeta/sqrt(1-zeta^2))) zetamf = abs(log(Mp/100))/((%pi^2)+(log(Mp/100))^2)^(1/2); //T5 = 0.4;//Tempo de acomodação de 5% //T5 = 3/(wn*zeta) wnmf = 3/(T5*zetamf);//wn //Polos malha fechada Smf = -(zeta*wn)+/- i(wn*sqrt(1-zeta^2)) wdmf = (wnmf*sqrt(1-zetamf^2)); sigmamf = zetamf*wnmf; smf = -sigmamf + wdmf*%i;//Raizes de Malha Fechada //Determinando os polos do compensador C1 = 1; for i=1:length(Gs_z) C1 = C1*(s-Gs_z(i)); end C1=1/C1; //Determinando os zeros do compensador for i=1:length(Gs_p) C1 = C1*(s-Gs_p(i)); end //Determinando Kc ppid = -2*sigmamf; kc = -(smf*(smf-ppid))/Gs_k; //Controlador PID em S Gc = (kc/(s*(s-ppid)))*C1; //FT equivalente do sistema realimentado Gt = Gc*Gs/(1+Gc*Gs);//O mesmo que Gt = feedback(Gd, 1) //Simulação dT = 1e-1;//Tempo de amostragem da simulação t = 0:dT:60;//tempo de simulação //Entrada em degrau (amplitude 1) + onda quadrada com período de 20 [s] //(Amplitude .25) Tsq = 20;//período da onda quadrada u = 1*ones(1,length(t)) - 0.25*squarewave((2*%pi*t)/Tsq); y=csim(u,t,Gt); figure(1) plot(t,u,'-g',t,y,'-r'); title('Controle de velocidade ') xlabel('Tempo [s]') ylabel('Tensao [v]') T = Gt; endfunction function Gz = DiscretizaCompensador(Gs,Ts) Gz = syslin('d',c2d(Gs,Ts)); endfunction Ts = 40e-3 [G,Gs,T ]= GeraCompensador(0.2,1) Gz = DiscretizaCompensador(G,Ts); fpGs = pfss(Gs) //disp(Gs) //disp(fpGs) //disp(G) //disp(Gz) //disp(T) t = 0:Ts:60; //figure u = ones(1,length(t)); ys = csim(u,t,G); yz = dsimul(tf2ss(Gz),u); figure(2) plot(t,ys,'-r',t,yz,'-b') legend ('Gcs','Gcz'); title("Discretização do compensador, subida em rampa") //Gz = Gz/max(abs(coeff(Gz.num))); a = coeff(Gz.den); b = coeff(Gz.num); a = a($:-1:1); b = b($:-1:1); disp(Gz) printf("%f ,",a'); printf("\n"); printf("%f ,",b'); printf("\n"); printf("Ts = %f\n",Ts) disp(abs(roots(Gz.den))) /* disp(Gs) printf("%f ,",coeff(Gs.num)'); printf("\n"); printf("%f ,",coeff(Gs.den)'); printf("\n"); */

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clc; clear; printf("\t\t\tChapter2_example9\n\n\n"); // determination of heat transferred k=136; // thermal conductivity of aluminium in BTU/(hr.ft.degree Rankine)from appendix table B1 L=9/(8*12); W=9/(4*12); delta=1/(32*12); printf("\nLength=%.5f ft, Width=%.4f ft, Delta=%.6f ft",L,W,delta); hc=0.8; // the convective heat transfer coefficient estimated as 1 BTU/(hr.ft^2. degree Rankine) T_w=1000;// the root temperature in degree fahrenheit T_inf=90; // the ambient temperature in degree fahrenheit m=sqrt(hc/(k*delta)); printf("\nThe value of m is %.3f",m); P=2*W; A=2*delta*W; printf("\n\t\t\tSolution to part (a)\n"); qz1=sqrt(hc*P*k*A)*(T_w-T_inf)*(sinh(m*L)+(hc/(m*k)*cosh(m*L)))/(cosh(m*L)+(hc/(m*k)*sinh(m*L))); printf("\nThe heat transferred is %.2f BTU/hr",qz1); printf("\n\n\t\t\tSolution to part (b)\n"); qz2=sqrt(k*A*hc*P)*(T_w-T_inf)*tanh(m*L); printf("\nThe heat transferred is %.2f BTU/hr\n",qz2); printf("\n\t\t\tSolution to part (c)\n"); Lc=L+delta; qz3=k*A*m*(T_w-T_inf)*tanh(m*L*(1+delta/Lc)); printf("\nThe heat transferred is %.2f BTU/hr\n",qz3);

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// Function Name: norm // Compute the p-norm // 3rd parameter : "-inf"=1, "inf"=2, "fro"=default // "-inf" is the minimum norm, "inf" is the maximum norm, while "fro" is the Frobenius norm // Calculating the norm inputvec1 = [1, 2, 3]; result = armaVec("norm",inputvec1)

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// here is an example use of the while statement // which is used for finding the root of a polynomial // which is known to lie within a certain interval. // a is the lower value of the range // b is the upper value of the range a= 0; fa = -%inf; b =3 ; fb = %inf ; while abs(b-a) > %eps*b x = ( a + b ) / 2; fx = x^3 - 2*x - 5 ; if sign(fx) == sign(fa) a=x; fa = fx ; else b = x ; fb = fx; end end disp ( ' The root is :' ); disp (x) ;

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//Ex 1.15 clc;clear;close; format('v',6); E1=10;//V V2=6;//V V3=8;//V //E1=V1+V2;//KCL for left loop V1=E1-V2;//V //-E2=-V2-V3;//KCL for right loop E2=V2+V3;//V disp(V1,"Voltage V1(V)"); disp(E2,"Voltage E2(V)");

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//Caption: Program to find the phase angle between two vectors //Example1.2 //page 11 clc; clear Q = [4,5,2]; //point Q x = Q(1); y = Q(2); z = Q(3); G = [y,-2.5*x,3]; //vector field disp(G,'G(rQ) =') aN = [2/3,1/3,-2/3]; //unit vector- direction of Q G_dot_aN = sum(G.*aN); //dot product of G and aN disp(G_dot_aN,'G.aN =') G_dot_aN_aN = G_dot_aN*aN; disp(G_dot_aN_aN,'(G.aN)aN=') teta_Ga = 2 * atand(norm(G*norm(aN) - norm(G)*aN) / norm(G * norm(aN) + norm(G) * aN)) //phase angle between G and unit vector aN disp(teta_Ga,'phase angle between G and unit vector aN in degrees =') //Result // G(rQ) = 5. - 10. 3. // G.aN = - 2. // (G.aN)aN = - 1.3333333 - 0.6666667 1.3333333 // phase angle between G and unit vector aN in degrees = 99.956489

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// Test #5 : Valid Input Arguments exec('./iirpowcomp.sci',-1); [b,p]=iirpowcomp([3.3 0.43],[1.21 0.12]; disp(a); disp(b); // //Scilab Output //a=1.21 0.12 //b=- 4.2513585 // 4.2513585 // //Matlab Output //b= -4.2514 4.2514 //a= 1.2100 0.1200

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// Scilab Code Ex1.24: : Page-1.31 (2009) clc; clear; h = 6.6e-034; // Planck's constant, Js h_cross = h/(2*%pi); // Reduced Planck's constant, Js delta_t = 1e-010; // Uncertainty in time, s // From Energy-time uncertainty, // delta_E*delta_t = h_cross/2, solving for delta_E delta_E = h_cross/(2*delta_t); // Uncertainty in energy of an emitted photon, J printf("\nThe uncertainty in energy of an emitted photon = %5.3e eV", delta_E/1.6e-019); // Result // The uncertainty in energy of an emitted photon = 3.283e-06 eV

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clc; Tmin=5+273; // Minimum operating temperature in kelvin Tmax=839+273; // Maximum operating temperature in kelvin Cp=1.005; // Specific heat at constant pressure in kJ/kg K r=1.4; // Specific heat ratio eff_carnot=1-Tmin/Tmax; // Efficiency of the carnot cycle c=1/(1-eff_carnot); p2_p1=c^(r/(r-1)); // Pressure ratio disp (p2_p1,"(i).Pressure ratio at which efficiency equals Carnot cycle efficiency = "); t=Tmax/Tmin; // Temperature ratio // Pressure ratio for maximum work is obtained when c=sqrt (t); p2_p1=c^(r/(r-1)); // Pressure ratio eff=1-1/c;// Efficiency at maximum work output disp (p2_p1,"(ii).Pressure ratio at which maximum work is obtained = "); disp ("%",eff*100,"(iii).Efficiency at maximum work output = ");

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im=imread('C:\Users\sir\Downloads\td3.jpg'); //Execution: chargement de l'image im=imread('C:\Users\sir\Downloads\td3.jpg'); //c=[10,10,12]; Message un nombre = une letre ou un chiffre //R=titi(im,c); R=toto(R); tata(R); function bool=v(X,c) taille_A=length(c) [y,x,coul]= size(X); if y<x then temp=y; else temp=x; end if temp>taille_A then bool=1; else bool=0; end endfunction function ValAbsolue=ValAbsolu(I) if I<0 then ValAbsolue=I*(-1); else ValAbsolue=I; end endfunction function [R]= toto(X) //fonction qui décrypte [y,x,coul]= size(X); X=int16(X); count=1; //en haut a droite if X(1,x,1)==X(2,x-1,1) then for i=x-1:-1:1 R(count)=X(1,i,1)-X(2,i,1); R(count)=ValAbsolu(R(count)); count=count+1; // printf('Result is:=%d i=%d x=%d X(i,1,1)=%d X(i,2,1)=%d \n ',R(i-1),i,x,X(i,1,1),X(i,2,1)) end end //en haut a gauche if X(1,1,1)==X(2,2,1) then for i=2:x R(i-1)=X(i,1,1)-X(i,2,1); R(i-1)=ValAbsolu(R(i-1)); printf('Result is:=%d i=%d x=%d X(i,1,1)=%d X(i,2,1)=%d \n ',R(i-1),i,x,X(i,1,1),X(i,2,1)) end end //en bas a gauche if X(y,1,1)==X(y-1,2,1) then for i=y-1:-1:1 R(count)=X(i,1,1)-X(i,2,1); R(count)=ValAbsolu(R(count)); count=count+1; // printf('Result is:=%d i=%d x=%d X(i,1,1)=%d X(i,2,1)=%d \n ',R(i-1),i,x,X(i,1,1),X(i,2,1)) end end //en bas a droite if X(y,x,1)==X(y-1,x-1,1) then for i=y-1:-1:1 R(count)=X(y,i,1)-X(y-1,i,1); R(count)=ValAbsolu(R(count)); count=count+1; end end endfunction function [Z]= tata(X) //Traduit code en chiffre ou lettre taille_X=length(X); for i=1: taille_X temp=X(i); temp=int32(temp); if temp>0 then if temp<27 then Z(i)=temp+96; printf(' LETTRE %d \n',Z(i)); end if temp<= 38 & temp>=27 then Z(i)=temp+21; printf(' chiffre %d \n',Z(i)); end end end Z=char(Z); endfunction function [Z]= titi(X,c) //fonction qui crypte taille_A=length(c) [y,x,coul]= size(X); bool=v(X,c); //TEST POUR VOIR SI LE MESSAGE EST SUFFISAMENT PETIT if bool==0 then printf('Message trop trop long NONONONONO') else // COPIE L'IMAGE EN COMMENCANT LA COPIE DE (1;1) à (2;2) for i=1:x-10 for j=1:y-10 for couleur=1: coul Z(i+1,j+1,couleur)=X(i,j,couleur) end end end Z=uint8(Z) im2uint8(Z)//l'image est sous forme d'un tableau à 3 dimension (RGB) Z(1,1,1)=Z(2,2,1) Z(1,1,2)=Z(2,2,2) Z(1,1,3)=Z(2,2,3) for count=taille_A+2:x-9 for undeuxtrois=1:3 Z(1,count,undeuxtrois)=Z(2,count,undeuxtrois) Z(count,1,undeuxtrois)=Z(count,2,undeuxtrois) end end for counter2=1:3 for counter=2:taille_A+1 bool=0; bool=check(Z,counter); bool2=0; bool2=check2(Z,counter); referenceX=Z(2,counter,counter2); referenceY=Z(counter,2,counter2); // if referenceX<217 then if bool==0 then Z(1,counter,counter2)=referenceX+c(counter-1) else Z(1,counter,counter2)=referenceX-c(counter-1) end if bool2==0 then Z(counter,1,counter2)=referenceY+c(counter-1) else Z(counter,1,counter2)=referenceY-c(counter-1) end end end imshow(Z) end endfunction function TF=check(Z,C) //Unifie le changement de couleur donc si un composant est sup à 217 les trois RGB dimninue de la valeur du chiffre TF=0; for rgb=1:3 if Z(2,C,rgb)>=217 then TF=1; end end endfunction function TF=check2(Z,C)//PAreil mais verticalement TF=0; for rgb=1:3 if Z(C,2,rgb)>=217 then TF=1; end end endfunction funcprot(0)

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//chapter20 //example20.5 //page441 Vin=24 // V Vout=12 // V Rs=160 // ohm Rl_min=200 // ohm Is=(Vin-Vout)/Rs // in ampere // minimum load occurs when Rl tends to infinity so Il_min=0 // maximum load occurs when Rl=200 ohm Il_max=Vout/Rl_min // in ampere Iz_min=Is-Il_max // in ampere Iz_max=Is-Il_min // in ampere printf("current through series reistance = %.3f mA \n \n",Is*1000) printf("minimum load current = %.3f mA \n",Il_min*1000) printf("maximum load current = %.3f mA \n",Il_max*1000) printf("minimum zener current = %.3f mA \n",Iz_min*1000) printf("maximum zener current = %.3f mA \n \n",Iz_max*1000) printf("comment : current Is through Rs is constant.\nAs load current increases from 0 to 60 mA, zener current decreases from 75 to 15 mA, \nmaintaining Is constant.\nThis is the normal operation of zener regulator \ni.e.Is and Vout remain constant inspite of changes in load or source voltage.")

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clc clear //Input data m1=50;//Mass of water at 15 degree centigrade in g m2=80;//Mass of water at 40 degree centigrade in g t1=15;//The temperature of water in degree centigrade t2=40;//The temperature of water in degree centigrade //Calculations T1=t1+273;//Temperature of water in K T2=t2+273;//Tempearture of water in K s=1;//The specific heat of water T=((m2*s*T2)+(m1*s*T1))/((m1+m2)*s);//The final temperature of the mixture in K S1=(m1*s*log(T/T1));//The change in entropy by 50 g of water when its temperature rises from 288 K to 303.4 K in cal/K S2=(m2*s*log(T/T2));//The change in entropy by 80 g of water when its temperature falls from 313 K to 303.4 K in cal/K S3=S1+S2;//The total gain in the entropy of the system in cal/K //Output printf('The net increase in the entropy of the system is %3.3f cal/K ',S3)

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//required effort //differential axle diameters d1=300 //mm d2=250 //mm //wheel diameter D=800 //mm //load W=20000 //N eta=0.55 VR=(2*D)/(d2-d1) MA=eta*VR P=W/MA //N printf("Required effort =%0.1f N",-P)

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[aws_csm] csm_enabled = true csm_port = onetwothreefour csm_client_id = foo

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//Chapter 8 Chemical Equlibrium clc; clear; //Initialisation of Variables k= 1.1*10**-5 V= 600 //ml n= 0.4 //mole //CALCULATIONS m= n*1000/V x= (-k+sqrt(k**2+4*4*0.67*k))/(2*4) M= 2*x P= x*100/m //RESULTS mprintf("Molar concentration of NO2= %.2e mol per litre",M) mprintf("\nPer cent dissociation= %.2f percent",P)

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//Example_a_8_6 page no:328 clc; V=100; I=0.7; Vc=200; omega=2*%pi*200; C=I/(omega*200); C=C*10^6;//converting to microFarad Xc=200/0.7; Xl=Xc; L=Xl/(2*%pi*200); R=(V/I)-50; disp(C,"the capacitance is (in microFarad)"); disp(L,"the inductanc is (in H)"); disp(R,"the resistance is (in ohm)");

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// Exa 7.8 clc; clear; close; format('v',5) // Given data I_D = 12*10^-3;// in A V_DS = 6;// in V V_P = 3;// in V R_SS= 1*10^3;// in ohm I_DSS = 20*10^-3;// in A V_GS= poly(0,'V_GS'); V_GS= I_D-I_DSS*(1-V_GS/V_P)^2; V_GS= roots(V_GS);// in V V_GS= V_GS(1);// in V disp(V_GS,"The value of V_GS in volts is : ") // Applying KVL on it's input section, V_G= V_GS+I_D*R_SS+V_SS or // I_D*RSS+V_SS= V_G-V_GS (i) // V_DS+I_D*R_SS+V_SS= 0 (ii) // From eq (i) and (ii) V_G= V_GS-V_DS;// in V disp(V_G,"The value of V_G in volts is : ") V_SS= V_G-V_GS-I_D*R_SS;// in V disp(V_SS,"The value of V_SS in V is : ")

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clc; clear; dia1=16;//mm h=30;//mm dia2=5;//mm Q=0.6;//litre/sec mass=0.1;//kg p1=464;//kPa d=999;//kg/m^3 m=d*Q/1000;//kg/s A1=%pi*((dia1/1000)^2)/4;//m^2 w1=Q/(A1*1000);//m/s A2=%pi*((dia2/1000)^2)/4;//m^2 w2=Q/(A2*1000);//m/s Wnozzle=mass*9.81;//N volwater=((1/12)*(%pi)*(h)*((dia1^2)+(dia2^2)+(dia1*dia2)))/(1000^3);//m^3 Wwater=d*volwater*9.81;//N F=m*(w1-w2)+Wnozzle+(p1*1000*A1)+Wwater;//N disp("N",F,"The anchoring force=")

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//Example 2.12 //To determine if a triangle can be formed with given dimension clc,clear c=9 //side oposite to vertex C a=6 //side opposite to vertex A b=7 //side opposite to vertex B A=55 //angle at vertex A B=60 //angle at vertex B C=65 //angle at vertex C printf('Sum of angles=180\n') printf('Smallest and largest sides are opposite to smallest and largest angle respectively\n\n') LHS = (a+b)/c RHS = cosd((A-B)/2)/sind(C/2) printf(' LHS = (a+b)/c = %.2f\n',LHS) printf(' RHS = cos((A-B)/2)/sin(C/2) = %.2f\n\n',RHS) printf('As we can see, LHS is not equal to RHS.\ni.e.Mollweides equation is not holding true.\n') printf('THE TRIANGLE IS NOT POSSIBLE WITH GIVEN DIMENSIONS')

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clc; r=100; //resistance in Ohm v=10; //in volt d=10; //distance in feet c=10*10^-6; //capacitor in Farad i=v/r; //current disp(i,"The wave travels the length of the line in 20 ns. The current that flows in the capacitor is the short-circuit current = "); //displaying result ch=40*10^-9*0.1; //charge disp(ch,"The charge that flows in 40 ns = "); //displaying result v1=ch/c; //voltage disp(v1,"Voltage in a 10*10^-6 Farad Capacitor = "); //displaying result

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errcatch(-1,"stop");mode(2); //Initialization of variables Gf=11.57 //lb per lb of fuel tg=500 //F ta=70 //F //calculations Q1=0.24*Gf*(tg-ta) //results printf("Heat loss = %d Btu per lb of fuel",Q1) exit();

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//Optoelectronics - An Introduction, 2nd Edition by J. Wilson and J.F.B. Hawkes //Example 9.1 //OS=Windows XP sp3 //Scilab version 5.5.2 clc; clear; //given eta=0.6;//Dimensionless Quantum Efficiency of photodiode Lambda0=1.3e-6;//Wavelength in m e=1.6e-19;//Electronic charge in C P=10e-6;//Optical power in W h=6.6e-34;//Planck's constant in SI Units c=3e8;//Speed of light in m/s iD=3e-9;//Reverse bias leakage current in A Deltaf=500e6;//Bandwidth of system in Hz k=1.38e-23;//Boltzmann constant in SI Units Rl=50;//Load resistor in Ohms T=300;//Absolute temperature in K Fn=1;//Assumption iLambda=eta*P*e*Lambda0/(h*c);//Corresponding photogenerated current in A mprintf("\n iLambda = %.2f uA",iLambda/1e-6);//Dividing by 10^(-6) to convert to uA //The answers vary due to round off error //Let the total shot noise be Ishot Ishot=sqrt(2*(iLambda+iD)*e*Deltaf); mprintf("\n Ishot = %.1f nA",Ishot/1e-9);//Dividing by 10^(-9) to convert to nA DeltaiJ=sqrt(4*k*T*Fn*Rl*Deltaf)/Rl;//Corresponding Johnson noise in A mprintf("\n DeltaiJ = %.2f nA",DeltaiJ/1e-9);//Dividing by 10^(-9) to convert to nA //The answers vary due to round off error SNR=(iLambda^2)/(Ishot^2 + DeltaiJ^2);//Corresponding Dimensionless Signal to Noise Ratio mprintf("\n (S/N) = %.2f",SNR);//The answers vary due to round off error

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clear;lines(0); plot(hilb(51))

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Ch06Ex5.sce

// Scilab code Ex6.5: Pg 202 (2005) clc; clear; h = 6.626e-034; // Planck's constant, Js m = 1e-06; // Mass of the object, kg n = 1; // Quantum number for minimum energy level L = 1e-02; // Distance between two rigid walls, m E1 = n^2*h^2/(8*m*L^2); // Minimum energy of the object, J v1 = sqrt(2*E1/m); // Minimum speed of the object, m/s v = 3.00e-02; // Given speed of the objct, m/s E = 1/2*m*v^2; // Energy of the object for given speed, J n = sqrt(8*m*L^2*E)/h; // Quantum number corresponding to the given speed printf("\nThe minimum speed of the object = %4.2e m/s", v1); printf("\nThe quantum number corresponding to the speed of %4.2e m/s is n = %4.2e", v1, n); // Result // The minimum speed of the object = 3.31e-26 m/s // The quantum number corresponding to the speed of 3.31e-26 m/s is n = 9.06e+23

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clear;lines(0); s=poly(0,'s'); h=syslin('c',(s-1)/(1+5*s+s^2+s^3)) xbasc();evans(h) g=kpure(h) hf=h/.g(1) roots(denom(hf))

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//Chapter 8 //Example 8-3 //ProbOnVoltageGain //Page 223 clear;clc; R = 25*10^3 ; aR = 50 ; a = aR / R ; Gain = 1 + (2/a) ; printf ( "\n\n Voltage Gain = %.4f " , Gain )

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// Exa 1.6 clc; clear; close; // Given data T = 287;// in degree C T = T + 273;// in K disp(T,"The temperature on absolute scale in K is");

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function [x,y,typ] = mdaq_mem_write(job,arg1,arg2) mem_write_desc = ["This block writes data to MicroDAQ memory."; "Data written by this block must be accessed with "; "mdaqMemRead function. It can be used in Ext and"; "Standalone mode to access DSP data. Up to 250000"; "values can be stored with this block. Memory used"; "by this block can be calculated with the formula: "; "Number of vectors * Vector Size "; ""; "Start index:"; "points to beginning of memory area, range 1-250000"; ""; "Number of vectors:"; "size of memory area, range 1-(250000/vector size)"; ""; "Vector size:"; "size of input vector."; ""; "Rewind:"; "0 - do not write data when when end of"; " used memory area reached"; "1 - when the end of used memory area reached,"; " write from the start index"; ""; "Set block parameters:"]; x=[];y=[];typ=[]; select job case 'set' then x=arg1 model=arg1.model; graphics=arg1.graphics; exprs=graphics.exprs; while %t do try [ok,start_idx,vec_num,vec_size,overwrite,exprs]=.. scicos_getvalue(mem_write_desc,.. ['Start index:'; 'Number of vectors:'; 'Vector size:'; 'Rewind:'],.. list('vec',1,'vec',1,'vec',1,'vec',1),exprs) catch [ok,start_idx,vec_num,vec_size,overwrite,exprs]=.. getvalue(mem_write_desc,.. ['Start index:'; 'Size:'; 'Vector size:'; 'Rewind:'],.. list('vec',1,'vec',1,'vec',1,'vec',1),exprs) end; if ~ok then break end //1MB = 1 000 000B = 250 000 floats MEM_MAX_DATA_SIZE = 250000; max_data_size = MEM_MAX_DATA_SIZE-start_idx+1; data_size = vec_size*vec_num; if vec_num == -1 then vec_num = max_index - start_idx; end if start_idx < 1 | start_idx > MEM_MAX_DATA_SIZE then ok = %f; message("Incorrect memory start index - use index from 1 to "+string(MEM_MAX_DATA_SIZE)); end if data_size < 1 | data_size > max_data_size then ok = %f; message("Incorrect data size (min 1 / max "+string(max_data_size)+")"); end if overwrite > 1 | overwrite < 0 then ok = %f; message("Use values 0 or 1 to set increment option."); end if ok then [model,graphics,ok] = check_io(model,graphics, vec_size, [], 1, []); graphics.exprs = exprs; model.rpar = []; model.ipar = [(start_idx-1);(data_size);vec_size;overwrite]; model.dstate = []; x.graphics = graphics; x.model = model; break end end case 'define' then vec_size = 1; start_idx = 1; vec_num = 100; overwrite = 0; model=scicos_model() model.sim=list('mdaq_mem_write_sim',5) model.in=-1 model.in2=-2 model.out=[] model.evtin=1 model.rpar=[]; model.ipar = [(start_idx-1);vec_num;vec_size;overwrite]; model.dstate=[]; model.blocktype='d' model.dep_ut=[%t %f] exprs=[sci2exp(start_idx);sci2exp(vec_num);sci2exp(vec_size);sci2exp(overwrite)] gr_i=['xstringb(orig(1),orig(2),['''' ; ],sz(1),sz(2),''fill'');'] x=standard_define([4 3],model,exprs,gr_i) x.graphics.in_implicit=[]; x.graphics.exprs=exprs; end endfunction

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// Demo script data = input('Name of processed dataset : ',"string") algorithm = input('Algorithm to run : ',"string") toolbox_basedir = input('Base directory for toolbox : ', "string") getd('..') machineLearn(algorithm, data, toolbox_basedir, '');

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matriz=zeros(4,5) soma=0 disp("Digite a matriz:") for i=1 :1:4 for j=1:1:5 matriz(i,j)=input("Digite o elemento ") disp("Lido com sucesso") soma=soma+matriz(i,j) end end disp(soma)

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clc // given that del_D = 300 // Separation in distance in m del_t = 4e-7 // separation in time in sec c = 3e8 // speed of light in m/s // Problem 7 on page 25 printf("\n # Problem 7 # \n") v = del_t*c^2/del_D // velocity of one w.r.t other in m/s printf("\n Velocity of one w.r.t other is %f*c m/s.",v/c)

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Ex21_1.sce

clc clf() n = 10 // number of samples A2 = 0.577 D3 = 0 D4 = 2.115 // number of defectives x1 = 11.274 x2 = 11.246 x3 = 11.204 x4 = 11.294 x5 = 11.252 x6 = 11.238 x7 = 11.230 x8 = 11.276 x9 = 11.208 x10 = 11.266 r1 = 0.15 r2 = 0.20 r3 = 0.33 r4 = 0.46 r5 = 0.10 r6 = 0.15 r7 = 0.20 r8 = 0.23 r9 = 0.50 r10 = 0.30 x = x1+x2+x3+x4+x5+x6+x7+x8+x9+x10 r = r1+r2+r3+r4+r5+r6+r7+r8+r9+r10 Xavg = x/n Ravg = r/n // for X chart ucl1 = Xavg + A2*Ravg lcl1 = Xavg - A2*Ravg // for R chart ucl2 = D4*Ravg lcl2 = D3*Ravg printf("\n control limits \n For X charts \n UCL = %0.2f cm \n LCL = %0.2f cm\n For R charts \n UCl = %0.3f \n LCL = %0.3f" , ucl1,lcl1,ucl2,lcl2) // X chart x=[1,2,3,4,5,6,7,8,9,10]; y=[11.274,11.246,11.204,11.294,11.252,11.238,11.230,11.276,11.208,11.266] plot(x,y) xtitle("X chart","Sample No.","X") // R chart xset("window",1) z = [0.15,0.20,0.33,0.46,0.10,0.15,0.20,0.23,0.50,0.30] plot(x,z) xtitle("R chart" ,"Sample no.", "R")

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Nand2DMux8Way.tst

load Nand2DMux8Way.hdl, output-file Nand2DMux8Way.out, compare-to Nand2DMux8Way.cmp, output-list in sel%B1.3.1 a b c d e f g h; set in 1, set sel %B000, eval, output; set in 1, set sel %B001, eval, output; set in 1, set sel %B010, eval, output; set in 1, set sel %B011, eval, output; set in 1, set sel %B100, eval, output; set in 1, set sel %B101, eval, output; set in 1, set sel %B110, eval, output; set in 1, set sel %B111, eval, output;

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clc e=1.6*10^-19 disp(" Electron charge = "+string(e)+"columns") //initializing the value of electron charge. no=2.5*10^13 disp("Number of free electrons/cm^3 in Ge ,n=2.5*10^13)= "+string(no)+"electrons/cm^3")//calculation n=(1/e) disp("Number of free electrons in 1 columns ,n=(1/e))= "+string(n))//calculation i=(1/n) disp("Current by movement of one electrons ,i=(1/n))= "+string(i)+" amphere ")//calculation I=(no*i) disp("Current by movement of (2.5*10^13) electrons in Ge,I=(no*i))= "+string(I)+" amphere ")//calculation

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questao02.sce

/* Andressa Gomes Moreira - 402305 Trabalho 02 - Questão 02 Inteligência Computacional */ clear; clc; // Carregando a base de dados data = fscanfMat("aerogerador.dat"); x = data(:, 1)' // Variável de entrada x: Velocidade do vento - Todas as linhas da coluna 1 y = data(:, 2)' // Variável de saída y: Potência gerada - Todas as linhas da coluna 2 // Normalização dos dados entre 0 e 1: x = x/max(x); y = y/max(y); // Iremos definir alguns parâmetros: amostra = length(x) // Quantidade de elementos da amostra => amostra = length(x) sigma = 1 function [Z, w]=pesos(n) // n = quantidade de neurônios ocultos // Definir o centroide aleat_x = grand(1,'prm', x) // Realiza uma pertubação nos valores da entrada x centroide = aleat_x(1:n) // Seleciona os n (número de neurônios ocultos) primeiros valores para compor o centroide. for i = 1:amostra //Definir a norma u = ||x - centroide|| vet = [x(i)*ones(1,n)] - centroide norma = abs(vet)' // Implementar a função ativação dos neurônios ocultos beta = (1/(2*sigma)) z(:, i)= exp(-(norma.^2)*beta) end // Adicionar o bias = -1 Z = [-1*ones(1,amostra); z] /* Definir os pesos da camada de saída da rede neural de base radial: Pelo método dos quadrados mínimos.: W = (Z'*Z)^(-1) * (Z'* y) Adicionar a Regularização de Thikonov: W = (Z'*Z + lambda * I)^(-1) * (Z'* y) - Lambda: Valor pequeno entre 0 e 1 - I: Matriz identidade de dimensão(n+1,n+1) */ lambda = 0.000000001; I = eye(n+1,n+1); w = y*Z'*((Z*Z')+(lambda*I))^(-1); //w = y*Z'*(Z*Z')^(-1); endfunction /****************** COEFICIENTE DE DETERMINAÇÃO ******************/ function [R2, y_preditor]=coef_determ(Z, w) //Definir o modelo de regressão ajustado (preditor) y^ y_preditor = w * Z; //Definir o Coeficiente de determinação R2 media = mean(y); somat1 = sum((y - y_preditor).^2); somat2 = sum((y-media).^2); R2 = 1-(somat1/somat2); endfunction /***************** PLOTAGEM DOS GRÁFICOS *************************/ function []= plotar(y_preditor, R2, n) clf; //Passo 09: Plotagem do gráfico plot(x,y, '.'); plot(x,y_preditor, 'r-'); title('Rede RBF com ' + string(n) + ' neurônios ocultos. R2 = ' + string(R2)) xlabel('Velocidade do Vento x'); ylabel('Potência Gerada y'); endfunction /********************** RESULTADOS ****************************/ disp('--------- REDE RBF COM 2 NEURÔNIOS OCULTOS -------------') n = 2 [Z, w] = pesos(n) [R2, y_preditor]=coef_determ(Z, w) disp('Coeficiênte de determinação (R2) para ' + string(n) + ' neurônios ocultos: ') disp('R2 = ' + string(R2) + ' | n = ' + string(n)) plotar(y_preditor, R2, n) disp('--------- REDE RBF COM 5 NEURÔNIOS OCULTOS -------------') n = 5 [Z, w] = pesos(n) [R2, y_preditor]=coef_determ(Z, w) disp('Coeficiênte de determinação (R2) para ' + string(n) + ' neurônios ocultos: ') disp('R2 = ' + string(R2) + ' | n = ' + string(n)) //plotar(y_preditor, R2, n) disp('--------- REDE RBF COM 10 NEURÔNIOS OCULTOS -------------') n = 10 [Z, w] = pesos(n) [R2, y_preditor]=coef_determ(Z, w) disp('Coeficiênte de determinação (R2) para ' + string(n) + ' neurônios ocultos: ') disp('R2 = ' + string(R2) + ' | n = ' + string(n)) //plotar(y_preditor, R2, n) disp('--------- REDE RBF COM 20 NEURÔNIOS OCULTOS -------------') n = 20 [Z, w] = pesos(n) [R2, y_preditor]=coef_determ(Z, w) disp('Coeficiênte de determinação (R2) para ' + string(n) + ' neurônios ocultos: ') disp('R2 = ' + string(R2) + ' | n = ' + string(n)) //plotar(y_preditor, R2, n) disp('--------- REDE RBF COM 30 NEURÔNIOS OCULTOS -------------') n = 30 [Z, w] = pesos(n) [R2, y_preditor]=coef_determ(Z, w) disp('Coeficiênte de determinação (R2) para ' + string(n) + ' neurônios ocultos: ') disp('R2 = ' + string(R2) + ' | n = ' + string(n)) //plotar(y_preditor, R2, n) disp('--------- REDE RBF COM 50 NEURÔNIOS OCULTOS -------------') n = 50 [Z, w] = pesos(n) [R2, y_preditor]=coef_determ(Z, w) disp('Coeficiênte de determinação (R2) para ' + string(n) + ' neurônios ocultos: ') disp('R2 = ' + string(R2) + ' | n = ' + string(n)) //plotar(y_preditor, R2, n) disp('--------- REDE RBF COM 1000 NEURÔNIOS OCULTOS -------------') n = 1000 [Z, w] = pesos(n) [R2, y_preditor]=coef_determ(Z, w) disp('Coeficiênte de determinação (R2) para ' + string(n) + ' neurônios ocultos: ') disp('R2 = ' + string(R2) + ' | n = ' + string(n)) //plotar(y_preditor, R2, n)

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clear; clc; dia=1.04e-2; r=dia/2; m=.85; d=2.44; P=74; temp=21; del=round((3.86*P/(273+temp))*1000)/1000; Vv=(3e6/sqrt(2))*r*del*m* log(d/r)* (1+(.03/sqrt(del*r))) *1e-3; mprintf("\nVisual local voltage = %.2f KV/phase", Vv)

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accumulate.sce

// Function Name: accumulate // Returns the accumulated value of input matrix // Calculating the accumulate. inputMat = [1.2, 1, 1.9; 4, 2.6, 5; 2.3, 8, 7]; result = armaMatFunc("accumulate",inputMat)

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// Ex18_6 Page:356 (2014) clc;clear; m_U232 = 232.037131; // Atomic mass of U-232, u m_He4 = 4.002603; // Atomic mass of He-4, u KE_alpha = 5.32; // Kinetic energy of alpha-particle, MeV m_Th228 = m_U232 - m_He4 - KE_alpha/931.5; // Atomic mass of Th-228, u printf("\nThe atomic mass of Th-228 = %10.6f u", m_Th228); // Result // The atomic mass of Th-228 = 228.028817 u // The answers vary due to round off error

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synthdata_bifocal.sce

cd /Users/rfabbri/lib/data/synthcurves-multiview-3d-dataset/ascii-20_views-olympus-turntable clear; format(20) // show 20 digits disp '/////////////////////////' disp 'You should only see zeros, if all works (result of lines without semicolon).' disp '/////////////////////////' // chose 3 arbitrary points (do multiple runs when evaluating a solver) selected_point_ids=[689 2086 4968 1029 3050]; selected_npts = size(selected_point_ids,'*'); nviews = 3; // for semantics sake ncoordinates = 3; // just defined this for semantic reasons // read 3 arbitrary views. Everything is indexed as (view,coordinate,point) for // ease of matrix multiplication the way I did it, but it makes more sense to do // (view,point,coordinate) x1_img = read('frame_0003-pts-2D.txt',-1,2)'; total_npts = size(x1_img,2); x2_img = read('frame_0011-pts-2D.txt',-1,2)'; // cameras are read with rotation and camera center in one matrix RC1 = read('frame_0003.extrinsic',-1,3); RC2 = read('frame_0011.extrinsic',-1,3); // Standard [R | t] R1w = RC1(1:3,1:3); // can use 0 instead of w for world coordinates R2w = RC2(1:3,1:3); t1w = -R1w*RC1(4,:)'; t2w = -R2w*RC2(4,:)'; // R and t relative to first camera R2 = R2w*R1w'; // R2 is shorthand for R21 in this notation t2 = -R2*t1w + t2w; // calibration matrix / intrinsic parameters K = read('calib.intrinsic',-1,3); // Compute ground-truth scalars epsilon and mu analytically // Notice depths, depth derivatives and speeds are invariant to coordinate // changes system // // Approach 3C: Transform everything relative to cam 1 // === Specific points ===================== // // Read 3D points X = read('crv-3D-pts.txt',-1,3)'; // Plug into equations that must be zero //depth_ = P_1w = K *[R1w t1w]; // sanity check 0: project 1st point matches supplied 2D point proj=P_1w*[X(:,1); 1]; // we are selecting only 1st point proj=proj/proj($); proj=proj(1:2); x1_img(:,1); max(abs(proj-x1_img(:,1))) // zero // sanity check 1: all projections to cam 1 give supplied 2D points proj_1 = P_1w * [X; ones(1,total_npts)]; // all points proj_1 = proj_1 ./ [proj_1(3,:); proj_1(3,:); proj_1(3,:)]; proj_1 = proj_1(1:2,:); max(abs(proj_1 - x1_img)) // First index in symbol means view, second is point // When there is only one index, it is view (eg, X1 is 3D point X in view 1) // When there is no index, it is world (eg, X) // X1 = R1w*X + t1w*ones(1,total_npts); X2 = R2*X1 + t2*ones(1,total_npts); // --------------------------------------------------------------------- // CORE POINT EQUATIONS // must output zero: // Starting here we treat the 2D points as 3D vectors // Apply the inverse K matrix! size(x2_img,2) - total_npts // sanity check, must be 0 x1_img = [x1_img; ones(1,total_npts)]; x2_img = [x2_img; ones(1,total_npts)]; // x1 = inv(K)*x1; x1 = K\x1_img; x2 = K\x2_img; // ground truth depth 'alpha' abbreviated as 'a' a = zeros(nviews, total_npts); a(1,:) = X1(3,:); a(2,:) = X2(3,:); for p=selected_point_ids a(2,p)*x2(:,p) - a(1,p)*R2*x1(:,p) - t2 // (*) end // beware a(3,:) is mostly zero except at the selected points // TODO Output to Bertini etc disp 'Point equations eliminating rotations' det([cross(x2(:,selected_point_ids(1)), R2*x1(:,selected_point_ids(1))) cross(x2(:,selected_point_ids(2)), R2*x1(:,selected_point_ids(2))) cross(x2(:,selected_point_ids(3)), R2*x1(:,selected_point_ids(3)))]) psi = atan(R2(3,2),R2(3,3)); phi = atan(-R2(3,1), norm(R2(3,2:3))) theta = atan(R2(2,1),R2(1,1)) c1 = cos(theta); s1 = sin(theta); c2 = cos(phi); s2 = sin(phi); c3 = cos(psi); s3 = sin(psi); R2_tst = [c1*c2 c1*s2*s3 - c3*s1 s1*s3 + c1*c3*s2 c2*s1 c1*c3 + s1*s2*s3 c3*s1*s2 - c1*s3 -s2 c2*s3 c2*c3]; t2hat = t2/norm(t2); alpha = asin(t2hat(3)); bbeta = atan(t2hat(2),t2hat(1)); c4 = cos(alpha); s4 = sin(alpha); c5 = cos(bbeta); s5 = sin(bbeta); rho = norm(t2); t2_tst = rho*[c4*c5; c4*s5; s4]; cs=[c1 s1 c2 s2 c3 s3 c4 s4 c5 s5]; for p=selected_point_ids // a(2,p)*x2(:,p) - a(1,p)*R2*x1(:,p) - t2 // (* sincos version) disp 'point' // x1(2,p)*c1*c3*c4*c5+ x2(2,p)*c2*c3*c4*c5- x2(2,p)*x1(1,p)*c4*c5*s2- x2(2,p)*x1(1,p)*c1*c2*s4+ x1(2,p)*x2(1,p)*c1*c3*s4- x1(2,p)*x2(1,p)*c2*c4*s3*s5- x1(2,p)*c4*c5*s1*s3*s2+ x1(2,p)*c1*c4*s3*s5*s2- x2(2,p)*c1*c3*s4*s2- x1(2,p)*x2(2,p)*c1*s3*s4*s2- x1(2,p)*c3*c4*s1*s5+ x1(2,p)*x2(2,p)*c2*c4*c5*s3+ x1(2,p)*x2(2,p)*c3*s1*s4+ x2(1,p)*c3*s1*s4*s2+ x1(1,p)*x2(1,p)*c4*s5*s2- x1(1,p)*c2*c4*c5*s1+ x1(1,p)*c1*c2*c4*s5- x2(1,p)*c1*s3*s4- x2(1,p)*c2*c3*c4*s5+ x1(1,p)*x2(1,p)*c2*s1*s4-c3*c4*c5*s1*s2+c1*c3*c4*s5*s2+c1*c4*c5*s3+c4*s1*s3*s5+ x1(2,p)*x2(1,p)*s1*s3*s4*s2- x2(2,p)*s1*s3*s4 (c4*c5 - s4*x2(1,p))*(-s2*x1(1,p)*x2(2,p) + c2*s3*x1(2,p)*x2(2,p) + c2*c3*x2(2,p)-c2*s1*x1(1,p) - c1*c3*x1(2,p) - s1*s2*s3*x1(2,p) - c3*s1*s2 + c1*s3) + (s4*x2(2,p) - c4*s5) * (-s2*x1(1,p)*x2(1,p) + c2*s3*x1(2,p)*x2(1,p) + c2*c3*x2(1,p) - c1*c2*x1(1,p) - c1*s2*s3*x1(2,p) + c3*s1*x1(2,p) - s1*s3-c1*c3*s2) disp 'distrib' -x1(2,p)*c1*c3*c4*c5 +x2(2,p)*c2*c3*c4*c5 -x2(2,p)*x1(1,p)*c4*c5*s2 -x2(2,p)*x1(1,p)*c1*c2*s4 +x1(2,p)*x2(1,p)*c1*c3*s4 -x1(2,p)*x2(1,p)*c2*c4*s3*s5 -x1(2,p)*c4*c5*s1*s3*s2 +x1(2,p)*c1*c4*s3*s5*s2 -x2(2,p)*c1*c3*s4*s2 -x1(2,p)*x2(2,p)*c1*s3*s4*s2 -x1(2,p)*c3*c4*s1*s5 +x1(2,p)*x2(2,p)*c2*c4*c5*s3 +x1(2,p)*x2(2,p)*c3*s1*s4 +x2(1,p)*c3*s1*s4*s2 +x1(1,p)*x2(1,p)*c4*s5*s2 -x1(1,p)*c2*c4*c5*s1 +x1(1,p)*c1*c2*c4*s5 -x2(1,p)*c1*s3*s4 -x2(1,p)*c2*c3*c4*s5 +x1(1,p)*x2(1,p)*c2*s1*s4 -c3*c4*c5*s1*s2 +c1*c3*c4*s5*s2 +c1*c4*c5*s3 +c4*s1*s3*s5 +x1(2,p)*x2(1,p)*s1*s3*s4*s2 -x2(2,p)*s1*s3*s4 end

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/2594/CH6/EX6.9/Ex6_9.sce

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Ex6_9.sce

clc Er=11.9 disp("Er = "+string(Er)) //initializing value of relative dielectric permittivity constant. Eo=8.854*10^-14 disp("Eo = "+string(Eo)+" F/cm") //initializing value of permittivity of free space. e=1.6*10^-19 disp("e = "+string(e)+" columns") //initializing value of charge of electrons. no=1.5*10^10 disp("no = "+string(no)+"cm^-3") //initializing value of intrinsic concentration of electrons. Nd=1*10^16 disp("Nd="+string(Nd)+" cm^-3")//initializing the value of donor concentration. Emax=2*10^5 disp("Emax = "+string(Emax)+" V/cm") //initializing value of maximum critical electric field. Na=1*10^16 disp("Na="+string(Na)+" cm^-3")//initializing the value of acceptor concentration. Vt=0.0259 disp("Vt = "+string(Vt)+" eV") //initializing value of thermal voltage. E=Eo*Er disp("total permittivity,E=Eo*Er)="+string(E)+" F/cm")//calculation VBI=(Vt*(log(Na*Nd/no^2))) disp("VBI=(Vt*(log(Na*Nd/no^2))) = "+string(VBI)+" V") // calculation. V=(E*Emax^2)/(e*Nd) disp("breakdown voltage for symetrical abrupt junction,VBD+VBI=(E*Emax^2)/(e*Nd))="+string(V)+" V")//calculation VBD=V-VBI disp("VBD=V-VBI)="+string(VBD)+" V")//calculation

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17_3.sce

clc //Initialization of variables R=1.987 //cal/deg/mol k1=4.45*10^-5 k2=2.52*10^-6 T1=283+273.2 //K T2=356+273.2 //K //calculations Ea=2.303*R*1.7530 /(1/T1 - 1/T2) logZ= log10(k1) +Ea/(2.303*R*T1) Z=10^logZ //results printf("Activation energy = %d cal/mol",Ea) printf("\n Z = %.1e lt /mol sec",Z)

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Ex8_11.sce

clc clear P1=1; P2=16; n=1.3; LN=100; N=350; IP=30; Ev=0.95; L=LN/N; x=[((P2/P1)^((n-1)/n))-1]; V14=[IP*(n-1)*60]/[n*P1*100*x*N]; Vs=V14/Ev; D2=Vs*4/[(22/7)*L]; D=D2^0.5; printf('D= %2.0f mm',D*1000); printf('\n'); printf('L= %2.0f mm',L*1000); printf('\n');

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/2606/CH9/EX9.18/ex9_18.sce

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ex9_18.sce

//Page Number: 9.24 //Example 9.18 clc; //(b)Modulation index b //Given SNdB=30; //dB SNRO=10^(SNdB/10); //As SNRO=30*b^2*(b+1) //Therefore p2=poly(0,'x'); p3 =30*(p2^3)+30*(p2^2)-1000; r=roots(p3); t=r(3,1); disp(t,'Modulation index:');

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/2123/CH5/EX5.32/Exa_5_32.sce

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Exa_5_32.sce

//Example No. 5.32 clc; clear; close; format('v',9); //Given Data : V=230;//V N1=1000;//rpm Ia1=100;//A Ra=0.1;//ohm Rf=0.1;//ohm N2=800;//rpm Ia2=sqrt(2)*Ia1;//A(As T2=2*T1 & T proportional to Ia^2) Eb1=V-Ia1*(Ra+Rf);//V Eb2=N2*Ia2/(N1*Ia1)*Eb1;//V //Eb2=Ia2*(Ra+Rf+Rbraking) Rbraking=Eb2/Ia2-Ra-Rf;//ohm disp(Rbraking,'Braking resistance in ohm : ' ); Ibraking=Eb2/Rbraking;//A disp(Ibraking,'Braking current in A : ' ); //Braking current is not calculated in the textbook but asked in the example.

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/Semana_8/potencia.sce

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potencia.sce

function [valor, vector] = potencia(A,x0, Tol) vector = x0 A = inv(A) error = 1 while error> Tol x1 = A*x0 [maxi,pos] = max(abs(vector)) valor = 1/x1(pos) x1 = x1 /valor valor = 1/valor error=norm(x1-x0)/norm(x1) //disp(error, "error") x0 = x1 vector = x1 end disp(valor, "Valor") disp(vector, "Vector") endfunction

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/20/CH16/EX16.9.617/example16_9_pg617.sce

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example16_9_pg617.sce

// Example16_9_pg617.sce // Effect of phase control // Theory of Alternating Current Machinery by Alexander Langsdorf // First Edition 1999, Thirty Second reprint // Tata McGraw Hill Publishing Company // Example in Page 617 clear; clc; close; // Given data phi = 20; alpha1 = 30; alpha2 = 0; // Calculations ans1 = (cos(phi*%pi/(180*2))*cos(phi*%pi/(180*2) + alpha1*%pi/180)*100); ans2 = round(cos(phi*%pi/(180*2))*cos(phi*%pi/(180*2) + alpha2*%pi/180)*100); Effect = (ans1/ans2)*100; printf("\n\nEffect of phase control here is to reduce the dc voltage to %0.2f %% of the value it would have in the absence of phase control\n", Effect); // Result // Effect of phase control here is to reduce the dc voltage to 77.77 % of the value it would have in the absence of phase control

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/73/CH5/EX5.4/Example5_4.sci

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Example5_4.sci

//Chapter 5_Monolithic Components //Caption : Capacitance per unit area //Example5.4: Determine the capacitance per unit area of the 400 armstrong gate oxide of a MOSFET device relative permittivity of silicon dioxide=3.9. //Solution: clear; clc; Eo=8.86*10^-14;//permittivity of free space in F/cm Er=3.9;//relative permittivity of MOSFET device t=0.4*10^-5;//thickness of the gate oxide in cm Co=Eo*Er/t;// since capoacitance(C)=permittivity(E)*area(A)/thicknes(t); so C/A=e/t disp('capacitance per unit area of gate oxide is:') disp('F/cm^2',Co)

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/2243/CH8/EX8.9/Ex8_9.sce

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Ex8_9.sce

clc(); clear; //Given : Na = 6.023*10^23 ; // Avogadro constant in atoms/mole LE = 200 ; // liberated energy in MeV mm = 235; // molar mass of U 235 in gm/mole // 1 eV = 1.6*10^-19 J , 1 MeV = 1.0*10^6 eV RE = (Na*LE*1.6*10^-19*10^6)/mm ; //released energy in J // 1 cal = 4.187 J EC = RE/4.187 ; // energy in cal //Burning 1 kg of coal releases 7000 K cal of energy Q1 = EC/(7000*10^3); // Quantity of Coal in Kg //Exploding 1 kg of TNT releases 1000 cal of energy Q2 = EC/1000; // Quantity of TNT in kg printf("Energy released : %.0f x 10^10 cal \n",EC*10^-10); printf(" %.1f tonnes of Coal\n",Q1*10^-3); printf(" %.0f tonnes of TNT\n",Q2*10^-3); // Results obtained differ from those in textbook , because approximate values were considered in textbook.

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/20/CH1/EX1.6.14/example1_6_pg14.sce

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example1_6_pg14.sce

// Example1_6_pg14.sce // To find secondary resistance and reactance // Theory of Alternating Current Machinery by Alexander Langsdorf // First Edition 1999, Thirty Second reprint // Tata McGraw Hill Publishing Company // Example in Page 14 clear; clc; close; // Given data volt_amp = 10e+3; // Volt Ampere rating of transformer is 10kA volt_ratio = 440/110; // Transformer voltage ratio freq_tr = 60; // Frequency of transformer usage is 60cps or 60Hz pri_res = 0.50; // Primary resistance is 0.50 Ohm sec_res = 0.032; // Secondary resistance is 0.032 Ohm pri_reac = 0.90; // Primary leakage reactance is 0.90 Ohm sec_reac = 0.06; //Secondary leakage reactance is 0.06 Ohm // Calculations printf("The ratio of transformation is %d", volt_ratio); sec_res_ref_pri = sec_res*(volt_ratio^2); // Ohms sec_reac_ref_pri = sec_reac*(volt_ratio^2); // Ohms disp('Hence,'); printf("Secondary resistance referred to the primary = %0.3f Ohm \n",sec_res_ref_pri); // Ohms printf("Secondary reactance referred to the primary = %0.2f Ohm",sec_reac_ref_pri); // Ohms // Result // The ratio of transformation is 4 // Secondary resistance referred to the primary is 0.512 Ohm // Secondary reactance referred to the primary is 0.96 Ohm

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serveur3_densite.sce

clf; clear; clc; load('C:\Users\tangu\OneDrive\Documents\GitHub\Modelisation\TD4\NetworkData.sod') // Extraction des temps de service index_bool = ( data(:, 3) == 3 ) tabS3 = data(index_bool, :) t_s3 = tabS3(1:$,4); deciles=perctl(t_s3,10:10:90); for i=2:10 ClassesDeciles(i)=deciles(i-1) end ClassesDeciles(1)=min(t_s3) ClassesDeciles(11)=max(t_s3) histplot(ClassesDeciles,t_s3,style=2) // Densité de la loi normale a=min(t_s3):0.01:max(t_s3) m=mean(t_s3) v=stdev(t_s3) b=(1/(v*sqrt(2*%pi))*exp((-1/2)*((a-m)/v)^2)) plot2d2(a,b,style=1) // Densité de la loi exponentielle lambda=1/mean(t_s3) b=lambda*exp(-lambda*a) plot2d2(a,b,style=3) // Densité de la loi uniforme h=1/(max(t_s3)-min(t_s3)) b=ones(a)*h plot2d2(a,b,style=20) legend("Histogramme d isofréquence du serveur 3","Densité de la loi normale","Densité de la loi exponentielle","Densité de la loi uniforme") // Définition des paramètres d'affichages a=gca(); a.x_location = "origin"; a.grid=[5,5];

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function refs=ref_update_2s(node_stat) d2r = 3.1416 / 180 refs = zeros(2,12); refs(1,5) = node_stat(2,6) * d2r; //refs(1,11) = node_stat(2,12); refs(2,1) = const_val(1,2); refs(2,5) = [node_stat(3,6) - node_stat(2,6)] * d2r; //refs(2,11) = node_stat(3,12) - node_stat(2,12); //x1 = node_stat(2,2); //z1 = node_stat(2,4); //theta1 = -atan(z1,x1); //x2 = node_stat(3,2) - x1 * 2; //z2 = node_stat(3,4) - z1 * 2; //theta2 = -atan(z2,x2); //refs(1,5) = theta1; //refs(1,11) = node_stat(2,12); //refs(2,1) = 1.0000; //refs(2,5) = theta2; //refs(2,11) = node_stat(3,12) - node_stat(2,12); endfunction

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<?xml version="1.0" encoding="utf-8"?> <test> <description>Standing Wave, DG, P=8</description> <executable>ShallowWaterSolver</executable> <parameters>LinearSWE_StandingWave_WallBC_DG_P8.xml</parameters> <files> <file description="Session File">LinearSWE_StandingWave_WallBC_DG_P8.xml</file> </files> <metrics> <metric type="L2" id="1"> <value variable="eta" tolerance="1e-12">1.66047e-11</value> <value variable="u" tolerance="1e-12">1.59717e-09</value> <value variable="v" tolerance="1e-12">1.59717e-09</value> </metric> <metric type="Linf" id="2"> <value variable="eta" tolerance="1e-12">5.0495e-11</value> <value variable="u" tolerance="1e-12">2.27038e-09</value> <value variable="v" tolerance="1e-12">2.27038e-09</value> </metric> </metrics> </test>

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clc g=9.8; //m/s^2 m=4500/3600; //kg/s C1=2800/60; //m/s Z1=5.5; //m h1=2800; //kJ/g C2=5600/60; //m/s Z2=1.5; //m h2=2300; //kJ/kg Q=-16000/3600; //kJ/s W=Q-m*[(h1-h2) + (C2^2 - C1^2)/2/1000 + (Z2-Z1)*g/1000]; disp("Power output of the turbine = ") disp(-W) disp("kW")

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Sujet _ Carrette-Bregere TD Machine.sce

//CARRETTE Kathlyn //BREGERE Anastasia v0=zeros(1, 50) v1=10*ones(1, 50) v2=[0:0.3:10] v5=[-3:0.204:7] function r=fnct(x) r= (1+x).*sin(%pi.*x) endfunction x=linspace(-2,2,100) y=fnct(x) plot2d(y, style=[color("pink")]); plot2d(x, style=[color("green")]); plot2d(%pi.*x+%pi.*x^2, style=[color("red")]); plot2d(%pi.*x, style=[color("blue")]); function r=funk(t,y) r=(y./t+t.*log(t)) endfunction u=1 a=1 t=linspace(1,4,100) ode("rk",u, a, t, funk) plot2d(ode("rk",u, a, t, funk), style=[color("grey")]); function r=truc(t,y) r=(y./t+t.*log(t)) endfunction u=-2 a=1 t=linspace(1,4,100) ode("rk",u, a, t, truc) plot2d(ode("rk",u, a, t, truc)), style=[color("black")]); function r=la(t,y) r=(y./t+t.*log(t)) endfunction u=2 a=1 t=linspace(1,4,100) ode("rk",u, a, t, la) plot2d(ode("rk",u, a, t, la)), style=[color("brown")]);

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graph_stepresponse_experiment02.sce

clear data_00;clear data_01;clear data_02;clear data_03;clear data_04;clear data_05;clear data_06;clear data_07;clear data_08; data_00 = fscanfMat('./DATA_storage_experiment2/Figure4_experiment2_case00.txt'); // time Vout Vin data_01 = fscanfMat('./DATA_storage_experiment2/Figure4_experiment2_case01.txt'); data_02 = fscanfMat('./DATA_storage_experiment2/Figure4_experiment2_case02.txt'); data_03 = fscanfMat('./DATA_storage_experiment2/Figure4_experiment2_case03.txt'); data_04 = fscanfMat('./DATA_storage_experiment2/Figure4_experiment2_case04.txt'); data_05 = fscanfMat('./DATA_storage_experiment2/Figure4_experiment2_case05.txt'); data_06 = fscanfMat('./DATA_storage_experiment2/Figure4_experiment2_case06.txt'); data_07 = fscanfMat('./DATA_storage_experiment2/Figure4_experiment2_case07.txt'); data_08 = fscanfMat('./DATA_storage_experiment2/Figure4_experiment2_case08.txt'); //temp_1=[mean(data_00(7000:8000,2)); mean(data_01(7000:8000,2)); mean(data_02(7000:8000,2)); mean(data_03(7000:8000,2)); mean(data_04(7000:8000,2)); mean(data_05(7000:8000,2)); mean(data_06(7000:8000,2)); mean(data_07(7000:8000,2)); mean(data_08(7000:8000,2))]; //mean(temp_1); // constant = 1.324 data_00(:,4) = 1.324 - data_00(:,2); data_01(:,4) = 1.324 - data_01(:,2); data_02(:,4) = 1.324 - data_02(:,2); data_03(:,4) = 1.324 - data_03(:,2); data_04(:,4) = 1.324 - data_04(:,2); data_05(:,4) = 1.324 - data_05(:,2); data_06(:,4) = 1.324 - data_06(:,2); data_07(:,4) = 1.324 - data_07(:,2); data_08(:,4) = 1.324 - data_08(:,2); scf(1);clf(1); //plot2d("nn", data_00(:,1), data_00(:,2));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 1;p.children.mark_mode = 'on';p.children.line_mode = 'off'; //plot2d("nn", data_00(:,1), data_00(:,3));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 2;p.children.mark_mode = 'on';p.children.line_mode = 'off'; plot2d("nn",data_00(:,1), data_00(:,3));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 1;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_00(:,2));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 2;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_01(:,2));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 3;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_02(:,2));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 4;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_03(:,2));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 5;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_04(:,2));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 6;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_05(:,2));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 7;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_06(:,2));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 9;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_07(:,2));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 10;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_08(:,2));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 11;p.children.line_mode = 'on';p.children.mark_mode = 'off'; //plot2d("nn",range_gm , fit_gm);p = get("hdl"); p.children.line_style = 1; p.children.foreground = 2;p.children.line_mode = 'on';p.children.mark_mode = 'off'; a=gca();a.data_bounds(1,1)=-0.5E-04;a.data_bounds(1,2)=1.15;a.data_bounds(2,1)=4.5E-04;a.data_bounds(2,2)=1.35; //a=gca();a.data_bounds(1,1)=-0.1;a.data_bounds(1,2)=0;a.data_bounds(2,1)=0.2;a.data_bounds(2,2)=20; //legend("Target program 100nA","Target program 50nA","Target program 10nA","in_upper_left"); // "in_upper_left" "in_lower_right" xtitle("","time [s]","V [V]"); scf(2);clf(2); //plot2d("nn", data_00(:,1), data_00(:,2));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 1;p.children.mark_mode = 'on';p.children.line_mode = 'off'; //plot2d("nn", data_00(:,1), data_00(:,3));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 2;p.children.mark_mode = 'on';p.children.line_mode = 'off'; //plot2d("nn",data_00(:,1), data_00(:,3));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 1;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_00(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 2;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_01(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 3;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_02(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 4;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_03(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 5;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_04(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 6;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_05(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 7;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_06(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 9;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_07(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 10;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nn",data_00(:,1), data_08(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 11;p.children.line_mode = 'on';p.children.mark_mode = 'off'; //plot2d("nn",range_gm , fit_gm);p = get("hdl"); p.children.line_style = 1; p.children.foreground = 2;p.children.line_mode = 'on';p.children.mark_mode = 'off'; //a=gca();a.data_bounds(1,1)=-0.5E-04;a.data_bounds(1,2)=1.15;a.data_bounds(2,1)=4.5E-04;a.data_bounds(2,2)=1.35; //a=gca();a.data_bounds(1,1)=-0.1;a.data_bounds(1,2)=0;a.data_bounds(2,1)=0.2;a.data_bounds(2,2)=20; //legend("Target program 100nA","Target program 50nA","Target program 10nA","in_upper_left"); // "in_upper_left" "in_lower_right" xtitle("","time [s]","Vconstant - Vout [V]"); scf(3);clf(3); //plot2d("nn", data_00(:,1), data_00(:,2));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 1;p.children.mark_mode = 'on';p.children.line_mode = 'off'; //plot2d("nn", data_00(:,1), data_00(:,3));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 2;p.children.mark_mode = 'on';p.children.line_mode = 'off'; //plot2d("nn",data_00(:,1), data_00(:,3));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 1;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",data_00(:,1), data_00(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 2;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",data_00(:,1), data_01(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 3;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",data_00(:,1), data_02(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 4;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",data_00(:,1), data_03(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 5;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",data_00(:,1), data_04(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 6;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",data_00(:,1), data_05(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 7;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",data_00(:,1), data_06(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 8;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",data_00(:,1), data_07(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 10;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",data_00(:,1), data_08(:,4));p = get("hdl"); p.children.line_style = 1; p.children.foreground = 11;p.children.line_mode = 'on';p.children.mark_mode = 'off'; //plot2d("nn",range_gm , fit_gm);p = get("hdl"); p.children.line_style = 1; p.children.foreground = 2;p.children.line_mode = 'on';p.children.mark_mode = 'off'; a=gca();a.data_bounds(1,1)=-0.5E-04;a.data_bounds(1,2)=1E-03;a.data_bounds(2,1)=1.0E-04;a.data_bounds(2,2)=1E-01; //a=gca();a.data_bounds(1,1)=-0.1;a.data_bounds(1,2)=0;a.data_bounds(2,1)=0.2;a.data_bounds(2,2)=20; //legend("Target program 100nA","Target program 50nA","Target program 10nA","in_upper_left"); // "in_upper_left" "in_lower_right" xtitle("","time [s]","Vconstant - Vout [V]"); //polyfit [p_00,S_00]=polyfit(data_00(1300:1400,1), log(data_00(1300:1400,4)),1); [p_01,S_01]=polyfit(data_01(1300:1450,1), log(data_01(1300:1450,4)),1); [p_02,S_02]=polyfit(data_02(1300:1600,1), log(data_02(1300:1600,4)),1); [p_03,S_03]=polyfit(data_03(1300:1600,1), log(data_03(1300:1600,4)),1); [p_04,S_04]=polyfit(data_04(1300:1600,1), log(data_04(1300:1600,4)),1); [p_05,S_05]=polyfit(data_05(1300:1700,1), log(data_05(1300:1700,4)),1); [p_06,S_06]=polyfit(data_06(1300:1800,1), log(data_06(1300:1800,4)),1); [p_07,S_07]=polyfit(data_07(1300:2300,1), log(data_07(1300:2300,4)),1); [p_08,S_08]=polyfit(data_08(1300:2500,1), log(data_08(1300:2500,4)),1); // Eval range_00 = data_00(1300,1):70E-09:data_00(1350,1); range_01 = data_01(1300,1):70E-09:data_01(1450,1); range_02 = data_02(1300,1):70E-09:data_02(1600,1); range_03 = data_03(1300,1):70E-09:data_03(1600,1); range_04 = data_04(1300,1):70E-09:data_04(1600,1); range_05 = data_05(1300,1):70E-09:data_05(1700,1); range_06 = data_06(1300,1):70E-09:data_06(1800,1); range_07 = data_07(1300,1):70E-09:data_07(2300,1); range_08 = data_08(1300,1):70E-09:data_08(2500,1); fit_00 = polyval(p_00,range_00,S_00); fit_01 = polyval(p_01,range_01,S_01); fit_02 = polyval(p_02,range_02,S_02); fit_03 = polyval(p_03,range_03,S_03); fit_04 = polyval(p_04,range_04,S_04); fit_05 = polyval(p_05,range_05,S_05); fit_06 = polyval(p_06,range_06,S_06); fit_07 = polyval(p_07,range_07,S_07); fit_08 = polyval(p_08,range_08,S_08); scf(4);clf(4); plot2d("nl",data_00(1300:1400,1), data_00(1300:1400,4));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 1;p.children.mark_mode = 'on';p.children.line_mode = 'off'; plot2d("nl",data_01(1300:1450,1), data_01(1300:1450,4));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 2;p.children.mark_mode = 'on';p.children.line_mode = 'off'; plot2d("nl",data_02(1300:1600,1), data_02(1300:1600,4));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 3;p.children.mark_mode = 'on';p.children.line_mode = 'off'; plot2d("nl",data_03(1300:1600,1), data_03(1300:1600,4));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 4;p.children.mark_mode = 'on';p.children.line_mode = 'off'; plot2d("nl",data_04(1300:1600,1), data_04(1300:1600,4));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 5;p.children.mark_mode = 'on';p.children.line_mode = 'off'; plot2d("nl",data_04(1300:1700,1), data_05(1300:1700,4));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 6;p.children.mark_mode = 'on';p.children.line_mode = 'off'; plot2d("nl",data_04(1300:1800,1), data_06(1300:1800,4));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 7;p.children.mark_mode = 'on';p.children.line_mode = 'off'; plot2d("nl",data_04(1300:2300,1), data_07(1300:2300,4));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 9;p.children.mark_mode = 'on';p.children.line_mode = 'off'; plot2d("nl",data_04(1300:2500,1), data_08(1300:2500,4));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 10;p.children.mark_mode = 'on';p.children.line_mode = 'off'; plot2d("nl",range_00, exp(fit_00));p = get("hdl"); p.children.line_style = 1; p.children.thickness = 2; p.children.foreground = 1;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",range_01, exp(fit_01));p = get("hdl"); p.children.line_style = 1; p.children.thickness = 2; p.children.foreground = 2;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",range_02, exp(fit_02));p = get("hdl"); p.children.line_style = 1; p.children.thickness = 2; p.children.foreground = 3;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",range_03, exp(fit_03));p = get("hdl"); p.children.line_style = 1; p.children.thickness = 2; p.children.foreground = 4;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",range_04, exp(fit_04));p = get("hdl"); p.children.line_style = 1; p.children.thickness = 2; p.children.foreground = 5;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",range_05, exp(fit_05));p = get("hdl"); p.children.line_style = 1; p.children.thickness = 2; p.children.foreground = 6;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",range_06, exp(fit_06));p = get("hdl"); p.children.line_style = 1; p.children.thickness = 2; p.children.foreground = 7;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",range_07, exp(fit_07));p = get("hdl"); p.children.line_style = 1; p.children.thickness = 2; p.children.foreground = 9;p.children.line_mode = 'on';p.children.mark_mode = 'off'; plot2d("nl",range_08, exp(fit_08));p = get("hdl"); p.children.line_style = 1; p.children.thickness = 2; p.children.foreground = 10;p.children.line_mode = 'on';p.children.mark_mode = 'off'; a=gca();a.data_bounds(1,1)=0;a.data_bounds(1,2)=1E-03;a.data_bounds(2,1)=10.0E-05;a.data_bounds(2,2)=1E-01; xtitle("","time [s]","Vconstant - Vout [V]"); disp(-1/p_00(1,1)*1E06); disp(-1/p_01(1,1)*1E06); disp(-1/p_02(1,1)*1E06); disp(-1/p_03(1,1)*1E06); disp(-1/p_04(1,1)*1E06); disp(-1/p_05(1,1)*1E06); disp(-1/p_06(1,1)*1E06); disp(-1/p_07(1,1)*1E06); disp(-1/p_08(1,1)*1E06); disp(-1/p_00(1,1)*169*1E-09*1E12); disp(-1/p_01(1,1)*169*1E-09*1E12); disp(-1/p_02(1,1)*169*1E-09*1E12); disp(-1/p_03(1,1)*169*1E-09*1E12); disp(-1/p_04(1,1)*169*1E-09*1E12); disp(-1/p_05(1,1)*169*1E-09*1E12); disp(-1/p_06(1,1)*169*1E-09*1E12); disp(-1/p_07(1,1)*169*1E-09*1E12); disp(-1/p_08(1,1)*169*1E-09*1E12); disp(-1/p_00(1,1)*1E06); disp(-1/p_01(1,1)*1E06); disp(-1/p_02(1,1)*1E06); disp(-1/p_03(1,1)*1E06); disp(-1/p_04(1,1)*1E06); disp(-1/p_05(1,1)*1E06); disp(-1/p_06(1,1)*1E06); disp(-1/p_07(1,1)*1E06); disp(-1/p_08(1,1)*1E06); disp(-1/p_00(1,1)*145*1E-09*1E12); disp(-1/p_01(1,1)*145*1E-09*1E12); disp(-1/p_02(1,1)*145*1E-09*1E12); disp(-1/p_03(1,1)*145*1E-09*1E12); disp(-1/p_04(1,1)*145*1E-09*1E12); disp(-1/p_05(1,1)*145*1E-09*1E12); disp(-1/p_06(1,1)*145*1E-09*1E12); disp(-1/p_07(1,1)*145*1E-09*1E12); disp(-1/p_08(1,1)*145*1E-09*1E12);

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clc; w=3; //weight in lb v=15; //velocity in ft/sec g=32; //g in ft/sec square s=(1/24); //s in ft F=(w*v*v)/(2*g*s); //calculating force exerted in lb disp(F,"Force exerted in lb = "); //displaying result

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v1=120; v2=12.6; r=10; disp("Part a"); n=v1/v2; disp("the turns ratio is"); disp(n); disp("Part b"); i2=v2/r; disp("the secondary current (in A) is"); disp(i2); disp("Part c"); i1=v1/r; disp("the primary current (in A) is"); disp(i1);

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//Example 6_3 clc; clear; close; format('v',5); //given data : r1BYr2=10000;//multipying factor //r=Eta*VT/I0*eps^(-V/Eta/VT) //log(r1BYr2)=(-V1/Eta/VT)/(-V2/Eta/VT)=delV/Eta/VT VT=26;//mV Eta=2;//for silicon delV=log(r1BYr2)*Eta*VT; disp(delV,"Break region for Si(mV)"); Eta=1;//for Germenium delV=log(r1BYr2)*Eta*VT; disp(delV,"Break region for Ge(mV)"); //Answer in the book is not accurate.

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Total index levels = 3 Total number of nodes = 37 Total number of items = 78 Dumping level #0 [Node 31] flags = 0, dge_link = 30 lft_link = -1, rgt_link = -1 Item #0, data = bn, link = 9 Dumping level #1 [Node 9] flags = 0, dge_link = -1 lft_link = -1, rgt_link = 30 Item #0, data = am, link = 2 Item #1, data = av, link = 35 Item #2, data = be, link = 29 Item #3, data = bn, link = 25 [Node 30] flags = 0, dge_link = 8 lft_link = 9, rgt_link = -1 Item #0, data = bw, link = 21 Item #1, data = cf, link = 17 Item #2, data = co, link = 13 Dumping level #2 [Node 2] flags = 0, dge_link = -1 lft_link = -1, rgt_link = 35 Item #0, data = ad, link = 0 Item #1, data = ag, link = 36 Item #2, data = aj, link = 34 Item #3, data = am, link = 33 [Node 35] flags = 0, dge_link = -1 lft_link = 2, rgt_link = 29 Item #0, data = ap, link = 32 Item #1, data = as, link = 28 Item #2, data = av, link = 27 [Node 29] flags = 0, dge_link = -1 lft_link = 35, rgt_link = 25 Item #0, data = ay, link = 26 Item #1, data = bb, link = 24 Item #2, data = be, link = 23 [Node 25] flags = 0, dge_link = -1 lft_link = 29, rgt_link = 21 Item #0, data = bh, link = 22 Item #1, data = bk, link = 20 Item #2, data = bn, link = 19 [Node 21] flags = 0, dge_link = -1 lft_link = 25, rgt_link = 17 Item #0, data = bq, link = 18 Item #1, data = bt, link = 16 Item #2, data = bw, link = 15 [Node 17] flags = 0, dge_link = -1 lft_link = 21, rgt_link = 13 Item #0, data = bz, link = 14 Item #1, data = cc, link = 12 Item #2, data = cf, link = 11 [Node 13] flags = 0, dge_link = -1 lft_link = 17, rgt_link = 8 Item #0, data = ci, link = 10 Item #1, data = cl, link = 7 Item #2, data = co, link = 6 [Node 8] flags = 0, dge_link = 1 lft_link = 13, rgt_link = -1 Item #0, data = cr, link = 5 Item #1, data = cu, link = 4 Item #2, data = cx, link = 3 Dumping level #3 [Node 0] flags = 1, dge_link = -1 lft_link = -1, rgt_link = 36 Item #0, data = aa, link = -1 Item #1, data = ab, link = -1 Item #2, data = ac, link = -1 [Node 36] flags = 1, dge_link = -1 lft_link = 0, rgt_link = 34 Item #0, data = ad, link = -1 Item #1, data = ae, link = -1 Item #2, data = af, link = -1 [Node 34] flags = 1, dge_link = -1 lft_link = 36, rgt_link = 33 Item #0, data = ag, link = -1 Item #1, data = ah, link = -1 Item #2, data = ai, link = -1 [Node 33] flags = 1, dge_link = -1 lft_link = 34, rgt_link = 32 Item #0, data = aj, link = -1 Item #1, data = ak, link = -1 Item #2, data = al, link = -1 [Node 32] flags = 1, dge_link = -1 lft_link = 33, rgt_link = 28 Item #0, data = am, link = -1 Item #1, data = an, link = -1 Item #2, data = ao, link = -1 [Node 28] flags = 1, dge_link = -1 lft_link = 32, rgt_link = 27 Item #0, data = ap, link = -1 Item #1, data = aq, link = -1 Item #2, data = ar, link = -1 [Node 27] flags = 1, dge_link = -1 lft_link = 28, rgt_link = 26 Item #0, data = as, link = -1 Item #1, data = at, link = -1 Item #2, data = au, link = -1 [Node 26] flags = 1, dge_link = -1 lft_link = 27, rgt_link = 24 Item #0, data = av, link = -1 Item #1, data = aw, link = -1 Item #2, data = ax, link = -1 [Node 24] flags = 1, dge_link = -1 lft_link = 26, rgt_link = 23 Item #0, data = ay, link = -1 Item #1, data = az, link = -1 Item #2, data = ba, link = -1 [Node 23] flags = 1, dge_link = -1 lft_link = 24, rgt_link = 22 Item #0, data = bb, link = -1 Item #1, data = bc, link = -1 Item #2, data = bd, link = -1 [Node 22] flags = 1, dge_link = -1 lft_link = 23, rgt_link = 20 Item #0, data = be, link = -1 Item #1, data = bf, link = -1 Item #2, data = bg, link = -1 [Node 20] flags = 1, dge_link = -1 lft_link = 22, rgt_link = 19 Item #0, data = bh, link = -1 Item #1, data = bi, link = -1 Item #2, data = bj, link = -1 [Node 19] flags = 1, dge_link = -1 lft_link = 20, rgt_link = 18 Item #0, data = bk, link = -1 Item #1, data = bl, link = -1 Item #2, data = bm, link = -1 [Node 18] flags = 1, dge_link = -1 lft_link = 19, rgt_link = 16 Item #0, data = bn, link = -1 Item #1, data = bo, link = -1 Item #2, data = bp, link = -1 [Node 16] flags = 1, dge_link = -1 lft_link = 18, rgt_link = 15 Item #0, data = bq, link = -1 Item #1, data = br, link = -1 Item #2, data = bs, link = -1 [Node 15] flags = 1, dge_link = -1 lft_link = 16, rgt_link = 14 Item #0, data = bt, link = -1 Item #1, data = bu, link = -1 Item #2, data = bv, link = -1 [Node 14] flags = 1, dge_link = -1 lft_link = 15, rgt_link = 12 Item #0, data = bw, link = -1 Item #1, data = bx, link = -1 Item #2, data = by, link = -1 [Node 12] flags = 1, dge_link = -1 lft_link = 14, rgt_link = 11 Item #0, data = bz, link = -1 Item #1, data = ca, link = -1 Item #2, data = cb, link = -1 [Node 11] flags = 1, dge_link = -1 lft_link = 12, rgt_link = 10 Item #0, data = cc, link = -1 Item #1, data = cd, link = -1 Item #2, data = ce, link = -1 [Node 10] flags = 1, dge_link = -1 lft_link = 11, rgt_link = 7 Item #0, data = cf, link = -1 Item #1, data = cg, link = -1 Item #2, data = ch, link = -1 [Node 7] flags = 1, dge_link = -1 lft_link = 10, rgt_link = 6 Item #0, data = ci, link = -1 Item #1, data = cj, link = -1 Item #2, data = ck, link = -1 [Node 6] flags = 1, dge_link = -1 lft_link = 7, rgt_link = 5 Item #0, data = cl, link = -1 Item #1, data = cm, link = -1 Item #2, data = cn, link = -1 [Node 5] flags = 1, dge_link = -1 lft_link = 6, rgt_link = 4 Item #0, data = co, link = -1 Item #1, data = cp, link = -1 Item #2, data = cq, link = -1 [Node 4] flags = 1, dge_link = -1 lft_link = 5, rgt_link = 3 Item #0, data = cr, link = -1 Item #1, data = cs, link = -1 Item #2, data = ct, link = -1 [Node 3] flags = 1, dge_link = -1 lft_link = 4, rgt_link = 1 Item #0, data = cu, link = -1 Item #1, data = cv, link = -1 Item #2, data = cw, link = -1 [Node 1] flags = 3, dge_link = -1 lft_link = 3, rgt_link = -1 Item #0, data = cx, link = -1 Item #1, data = cy, link = -1 Item #2, data = cz, link = -1

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clc //Initialization of variables E=22*10^3 //kJ/mol T=293 //K //calculations ratio=%e^(-E/(8.31451*T)) //results printf("Relative populations of boat and chair conformations is %.1e",ratio)

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Name=1v1 new PlayerCharacters=air1 BotCharacters=QC Mix.rot IsChallenge=false Timelimit=60.0 PlayerProfile= AddedBots= PlayerMaxLives=0 BotMaxLives= PlayerTeam=0 BotTeams= MapName= MapScale=3.8125 BlockProjectilePredictors=true BlockCheats=true InvinciblePlayer=false InvincibleBots=false Timescale=1.0 BlockHealthbars=false TimeRefilledByKill=0.0 ScoreToWin=1000.0 ScorePerDamage=1.0 ScorePerKill=0.0 ScorePerMidairDirect=0.0 ScorePerAnyDirect=0.0 ScorePerTime=0.0 ScoreLossPerDamageTaken=0.0 ScoreLossPerDeath=0.0 ScoreLossPerMidairDirected=0.0 ScoreLossPerAnyDirected=0.0 ScoreMultAccuracy=false ScoreMultDamageEfficiency=false ScoreMultKillEfficiency=false GameTag= WeaponHeroTag= DifficultyTag=3 AuthorsTag= BlockHitMarkers=false BlockHitSounds=false BlockMissSounds=true BlockFCT=false Description=harder version of original GameVersion=1.0.6 ScorePerDistance=0.0 [Aim Profile] Name=At Feet MinReactionTime=0.3 MaxReactionTime=0.4 MinSelfMovementCorrectionTime=0.001 MaxSelfMovementCorrectionTime=0.05 FlickFOV=30.0 FlickSpeed=1.5 FlickError=15.0 TrackSpeed=3.5 TrackError=3.5 MaxTurnAngleFromPadCenter=75.0 MinRecenterTime=0.3 MaxRecenterTime=0.5 OptimalAimFOV=30.0 OuterAimPenalty=1.0 MaxError=40.0 ShootFOV=15.0 VerticalAimOffset=-100.0 MaxTolerableSpread=5.0 MinTolerableSpread=1.0 TolerableSpreadDist=2000.0 MaxSpreadDistFactor=2.0 [Aim Profile] Name=Low Skill At Feet MinReactionTime=0.35 MaxReactionTime=0.45 MinSelfMovementCorrectionTime=0.001 MaxSelfMovementCorrectionTime=0.05 FlickFOV=30.0 FlickSpeed=1.5 FlickError=20.0 TrackSpeed=3.0 TrackError=5.0 MaxTurnAngleFromPadCenter=75.0 MinRecenterTime=0.3 MaxRecenterTime=0.5 OptimalAimFOV=30.0 OuterAimPenalty=1.0 MaxError=60.0 ShootFOV=25.0 VerticalAimOffset=-200.0 MaxTolerableSpread=5.0 MinTolerableSpread=1.0 TolerableSpreadDist=2000.0 MaxSpreadDistFactor=2.0 [Aim Profile] Name=Low Skill MinReactionTime=0.35 MaxReactionTime=0.45 MinSelfMovementCorrectionTime=0.001 MaxSelfMovementCorrectionTime=0.05 FlickFOV=30.0 FlickSpeed=1.5 FlickError=20.0 TrackSpeed=3.0 TrackError=5.0 MaxTurnAngleFromPadCenter=75.0 MinRecenterTime=0.3 MaxRecenterTime=0.5 OptimalAimFOV=30.0 OuterAimPenalty=1.0 MaxError=60.0 ShootFOV=25.0 VerticalAimOffset=0.0 MaxTolerableSpread=5.0 MinTolerableSpread=1.0 TolerableSpreadDist=2000.0 MaxSpreadDistFactor=2.0 [Aim Profile] Name=Default MinReactionTime=0.3 MaxReactionTime=0.4 MinSelfMovementCorrectionTime=0.001 MaxSelfMovementCorrectionTime=0.05 FlickFOV=30.0 FlickSpeed=1.5 FlickError=15.0 TrackSpeed=3.5 TrackError=3.5 MaxTurnAngleFromPadCenter=75.0 MinRecenterTime=0.3 MaxRecenterTime=0.5 OptimalAimFOV=30.0 OuterAimPenalty=1.0 MaxError=40.0 ShootFOV=15.0 VerticalAimOffset=0.0 MaxTolerableSpread=5.0 MinTolerableSpread=1.0 TolerableSpreadDist=2000.0 MaxSpreadDistFactor=2.0 [Bot Profile] Name=Tank QC Fast Strafes DodgeProfileNames=Short Strafes DodgeProfileWeights=1.0 DodgeProfileMaxChangeTime=5.0 DodgeProfileMinChangeTime=1.0 WeaponProfileWeights=1.0;1.0;2.0;1.0;1.0;1.0;1.0;1.0 AimingProfileNames=At Feet;Low Skill At Feet;Low Skill;Default;Default;Default;Default;Default WeaponSwitchTime=3.0 UseWeapons=false CharacterProfile=Tank Quake Champion SeeThroughWalls=false [Bot Profile] Name=Tank QC Long Strafes DodgeProfileNames=Long Strafes DodgeProfileWeights=1.0 DodgeProfileMaxChangeTime=5.0 DodgeProfileMinChangeTime=1.0 WeaponProfileWeights=1.0;1.0;2.0;1.0;1.0;1.0;1.0;1.0 AimingProfileNames=At Feet;Low Skill At Feet;Low Skill;Default;Default;Default;Default;Default WeaponSwitchTime=3.0 UseWeapons=false CharacterProfile=Tank Quake Champion SeeThroughWalls=false [Bot Profile] Name=Tiny QC Fast Strafes DodgeProfileNames=Short Strafes DodgeProfileWeights=1.0 DodgeProfileMaxChangeTime=5.0 DodgeProfileMinChangeTime=1.0 WeaponProfileWeights=1.0;1.0;2.0;1.0;1.0;1.0;1.0;1.0 AimingProfileNames=At Feet;Low Skill At Feet;Low Skill;Default;Default;Default;Default;Default WeaponSwitchTime=3.0 UseWeapons=false CharacterProfile=Tiny Quake Champion SeeThroughWalls=false [Bot Profile] Name=Tiny QC Long Strafes DodgeProfileNames=Long Strafes DodgeProfileWeights=1.0 DodgeProfileMaxChangeTime=5.0 DodgeProfileMinChangeTime=1.0 WeaponProfileWeights=1.0;1.0;2.0;1.0;1.0;1.0;1.0;1.0 AimingProfileNames=At Feet;Low Skill At Feet;Low Skill;Default;Default;Default;Default;Default WeaponSwitchTime=3.0 UseWeapons=false CharacterProfile=Tiny Quake Champion SeeThroughWalls=false [Bot Rotation Profile] Name=QC Mix ProfileNames=Tank QC Fast Strafes;Tank QC Long Strafes;Tiny QC Fast Strafes;Tiny QC Long Strafes ProfileWeights=0.35;0.15;0.35;0.15 Randomized=true [Character Profile] Name=air1 MaxHealth=1000.0 WeaponProfileNames=;;;;;;; MinRespawnDelay=1.0 MaxRespawnDelay=5.0 StepUpHeight=75.0 CrouchHeightModifier=0.5 CrouchAnimationSpeed=1.0 CameraOffset=X=0.000 Y=0.000 Z=0.000 HeadshotOnly=false DamageKnockbackFactor=8.0 MovementType=Base MaxSpeed=1000.0 MaxCrouchSpeed=500.0 Acceleration=16000.0 AirAcceleration=16000.0 Friction=8.0 BrakingFrictionFactor=2.0 JumpVelocity=800.0 Gravity=3.0 AirControl=0.25 CanCrouch=true CanPogoJump=false CanCrouchInAir=false CanJumpFromCrouch=false EnemyBodyColor=X=255.000 Y=0.000 Z=0.000 EnemyHeadColor=X=255.000 Y=255.000 Z=255.000 TeamBodyColor=X=0.000 Y=0.000 Z=255.000 TeamHeadColor=X=255.000 Y=255.000 Z=255.000 BlockSelfDamage=false InvinciblePlayer=false InvincibleBots=false BlockTeamDamage=false AirJumpCount=0 AirJumpVelocity=800.0 MainBBType=Cylindrical MainBBHeight=230.0 MainBBRadius=100.0 MainBBHasHead=false MainBBHeadRadius=45.0 MainBBHeadOffset=0.0 MainBBHide=false ProjBBType=Cylindrical ProjBBHeight=230.0 ProjBBRadius=55.0 ProjBBHasHead=true ProjBBHeadRadius=45.0 ProjBBHeadOffset=0.0 ProjBBHide=true HasJetpack=true JetpackActivationDelay=0.2 JetpackFullFuelTime=100000.0 JetpackFuelIncPerSec=0.1 JetpackFuelRegensInAir=true JetpackThrust=6000.0 JetpackMaxZVelocity=400.0 JetpackAirControlWithThrust=1.0 AbilityProfileNames=;;; HideWeapon=false AerialFriction=0.0 StrafeSpeedMult=1.0 BackSpeedMult=1.0 RespawnInvulnTime=0.0 BlockedSpawnRadius=0.0 BlockSpawnFOV=0.0 BlockSpawnDistance=0.0 RespawnAnimationDuration=0.5 AllowBufferedJumps=true BounceOffWalls=false LeanAngle=0.0 LeanDisplacement=0.0 AirJumpExtraControl=0.0 ForwardSpeedBias=1.0 HealthRegainedonkill=0.0 HealthRegenPerSec=0.0 HealthRegenDelay=0.0 JumpSpeedPenaltyDuration=0.0 JumpSpeedPenaltyPercent=0.0 ThirdPersonCamera=false TPSArmLength=300.0 TPSOffset=X=0.000 Y=150.000 Z=150.000 BrakingDeceleration=2048.0 VerticalSpawnOffset=0.0 [Character Profile] Name=Tank Quake Champion MaxHealth=450.0 WeaponProfileNames=Railgun;Rocket Launcher;LG;;;;; MinRespawnDelay=1.0 MaxRespawnDelay=5.0 StepUpHeight=75.0 CrouchHeightModifier=0.5 CrouchAnimationSpeed=2.0 CameraOffset=X=0.000 Y=0.000 Z=80.000 HeadshotOnly=false DamageKnockbackFactor=4.0 MovementType=Base MaxSpeed=1300.0 MaxCrouchSpeed=500.0 Acceleration=9000.0 AirAcceleration=16000.0 Friction=4.0 BrakingFrictionFactor=2.0 JumpVelocity=800.0 Gravity=3.0 AirControl=0.25 CanCrouch=true CanPogoJump=false CanCrouchInAir=true CanJumpFromCrouch=false EnemyBodyColor=X=0.771 Y=0.000 Z=0.000 EnemyHeadColor=X=1.000 Y=1.000 Z=1.000 TeamBodyColor=X=1.000 Y=0.888 Z=0.000 TeamHeadColor=X=1.000 Y=1.000 Z=1.000 BlockSelfDamage=false InvinciblePlayer=false InvincibleBots=false BlockTeamDamage=false AirJumpCount=0 AirJumpVelocity=0.0 MainBBType=Cylindrical MainBBHeight=300.0 MainBBRadius=64.0 MainBBHasHead=false MainBBHeadRadius=45.0 MainBBHeadOffset=0.0 MainBBHide=false ProjBBType=Cylindrical ProjBBHeight=230.0 ProjBBRadius=70.0 ProjBBHasHead=false ProjBBHeadRadius=45.0 ProjBBHeadOffset=0.0 ProjBBHide=true HasJetpack=false JetpackActivationDelay=0.2 JetpackFullFuelTime=4.0 JetpackFuelIncPerSec=1.0 JetpackFuelRegensInAir=false JetpackThrust=6000.0 JetpackMaxZVelocity=400.0 JetpackAirControlWithThrust=0.25 AbilityProfileNames=;;; HideWeapon=false AerialFriction=0.0 StrafeSpeedMult=1.0 BackSpeedMult=1.0 RespawnInvulnTime=0.0 BlockedSpawnRadius=0.0 BlockSpawnFOV=0.0 BlockSpawnDistance=0.0 RespawnAnimationDuration=0.5 AllowBufferedJumps=true BounceOffWalls=false LeanAngle=0.0 LeanDisplacement=0.0 AirJumpExtraControl=0.0 ForwardSpeedBias=1.0 HealthRegainedonkill=0.0 HealthRegenPerSec=0.0 HealthRegenDelay=0.0 JumpSpeedPenaltyDuration=0.0 JumpSpeedPenaltyPercent=0.0 ThirdPersonCamera=false TPSArmLength=300.0 TPSOffset=X=0.000 Y=150.000 Z=150.000 BrakingDeceleration=2048.0 VerticalSpawnOffset=0.0 [Character Profile] Name=Tiny Quake Champion MaxHealth=250.0 WeaponProfileNames=Railgun;Rocket Launcher;LG;;;;; MinRespawnDelay=1.0 MaxRespawnDelay=5.0 StepUpHeight=75.0 CrouchHeightModifier=0.5 CrouchAnimationSpeed=2.0 CameraOffset=X=0.000 Y=0.000 Z=80.000 HeadshotOnly=false DamageKnockbackFactor=4.0 MovementType=Base MaxSpeed=1300.0 MaxCrouchSpeed=500.0 Acceleration=9000.0 AirAcceleration=16000.0 Friction=4.0 BrakingFrictionFactor=2.0 JumpVelocity=800.0 Gravity=3.0 AirControl=0.25 CanCrouch=true CanPogoJump=false CanCrouchInAir=true CanJumpFromCrouch=false EnemyBodyColor=X=0.771 Y=0.000 Z=0.000 EnemyHeadColor=X=1.000 Y=1.000 Z=1.000 TeamBodyColor=X=1.000 Y=0.888 Z=0.000 TeamHeadColor=X=1.000 Y=1.000 Z=1.000 BlockSelfDamage=false InvinciblePlayer=false InvincibleBots=false BlockTeamDamage=false AirJumpCount=0 AirJumpVelocity=0.0 MainBBType=Cylindrical MainBBHeight=300.0 MainBBRadius=44.0 MainBBHasHead=false MainBBHeadRadius=45.0 MainBBHeadOffset=0.0 MainBBHide=false ProjBBType=Cylindrical ProjBBHeight=300.0 ProjBBRadius=48.0 ProjBBHasHead=false ProjBBHeadRadius=45.0 ProjBBHeadOffset=0.0 ProjBBHide=true HasJetpack=false JetpackActivationDelay=0.2 JetpackFullFuelTime=4.0 JetpackFuelIncPerSec=1.0 JetpackFuelRegensInAir=false JetpackThrust=6000.0 JetpackMaxZVelocity=400.0 JetpackAirControlWithThrust=0.25 AbilityProfileNames=;;; HideWeapon=false AerialFriction=0.0 StrafeSpeedMult=1.0 BackSpeedMult=1.0 RespawnInvulnTime=0.0 BlockedSpawnRadius=0.0 BlockSpawnFOV=0.0 BlockSpawnDistance=0.0 RespawnAnimationDuration=0.5 AllowBufferedJumps=true BounceOffWalls=false LeanAngle=0.0 LeanDisplacement=0.0 AirJumpExtraControl=0.0 ForwardSpeedBias=1.0 HealthRegainedonkill=0.0 HealthRegenPerSec=0.0 HealthRegenDelay=0.0 JumpSpeedPenaltyDuration=0.0 JumpSpeedPenaltyPercent=0.0 ThirdPersonCamera=false TPSArmLength=300.0 TPSOffset=X=0.000 Y=150.000 Z=150.000 BrakingDeceleration=2048.0 VerticalSpawnOffset=0.0 [Dodge Profile] Name=Short Strafes MaxTargetDistance=2500.0 MinTargetDistance=750.0 ToggleLeftRight=true ToggleForwardBack=false MinLRTimeChange=0.2 MaxLRTimeChange=0.5 MinFBTimeChange=0.2 MaxFBTimeChange=0.5 DamageReactionChangesDirection=false DamageReactionChanceToIgnore=0.5 DamageReactionMinimumDelay=0.125 DamageReactionMaximumDelay=0.25 DamageReactionCooldown=1.0 DamageReactionThreshold=50.0 DamageReactionResetTimer=0.5 JumpFrequency=0.1 CrouchInAirFrequency=0.0 CrouchOnGroundFrequency=0.0 TargetStrafeOverride=Ignore TargetStrafeMinDelay=0.125 TargetStrafeMaxDelay=0.25 MinProfileChangeTime=0.0 MaxProfileChangeTime=0.0 MinCrouchTime=0.3 MaxCrouchTime=0.6 MinJumpTime=0.3 MaxJumpTime=0.6 LeftStrafeTimeMult=1.0 RightStrafeTimeMult=1.0 StrafeSwapMinPause=0.0 StrafeSwapMaxPause=0.0 BlockedMovementPercent=0.5 BlockedMovementReactionMin=0.125 BlockedMovementReactionMax=0.2 [Dodge Profile] Name=Long Strafes MaxTargetDistance=5000.0 MinTargetDistance=0.0 ToggleLeftRight=true ToggleForwardBack=true MinLRTimeChange=0.5 MaxLRTimeChange=1.5 MinFBTimeChange=0.2 MaxFBTimeChange=0.5 DamageReactionChangesDirection=true DamageReactionChanceToIgnore=0.5 DamageReactionMinimumDelay=0.125 DamageReactionMaximumDelay=0.25 DamageReactionCooldown=1.0 DamageReactionThreshold=50.0 DamageReactionResetTimer=0.5 JumpFrequency=0.0 CrouchInAirFrequency=0.0 CrouchOnGroundFrequency=0.0 TargetStrafeOverride=Ignore TargetStrafeMinDelay=0.125 TargetStrafeMaxDelay=0.25 MinProfileChangeTime=0.0 MaxProfileChangeTime=0.0 MinCrouchTime=0.3 MaxCrouchTime=0.6 MinJumpTime=0.3 MaxJumpTime=0.6 LeftStrafeTimeMult=1.0 RightStrafeTimeMult=1.0 StrafeSwapMinPause=0.0 StrafeSwapMaxPause=0.0 BlockedMovementPercent=0.5 BlockedMovementReactionMin=0.125 BlockedMovementReactionMax=0.2 [Weapon Profile] Name=Railgun Type=Hitscan ShotsPerClick=1 DamagePerShot=80.0 KnockbackFactor=9.0 TimeBetweenShots=1.0 Pierces=true Category=FullyAuto BurstShotCount=1 TimeBetweenBursts=0.5 ChargeStartDamage=10.0 ChargeStartVelocity=X=500.000 Y=0.000 Z=0.000 ChargeTimeToAutoRelease=2.0 ChargeTimeToCap=1.0 ChargeMoveSpeedModifier=1.0 MuzzleVelocityMin=X=2000.000 Y=0.000 Z=0.000 MuzzleVelocityMax=X=2000.000 Y=0.000 Z=0.000 InheritOwnerVelocity=0.0 OriginOffset=X=0.000 Y=0.000 Z=0.000 MaxTravelTime=5.0 MaxHitscanRange=100000.0 GravityScale=1.0 HeadshotCapable=false HeadshotMultiplier=2.0 MagazineMax=0 AmmoPerShot=1 ReloadTimeFromEmpty=0.5 ReloadTimeFromPartial=0.5 DamageFalloffStartDistance=100000.0 DamageFalloffStopDistance=100000.0 DamageAtMaxRange=25.0 DelayBeforeShot=0.0 HitscanVisualEffect=Tracer ProjectileGraphic=Ball VisualLifetime=0.5 WallParticleEffect=None HitParticleEffect=Blood BounceOffWorld=false BounceFactor=0.0 BounceCount=0 HomingProjectileAcceleration=0.0 ProjectileEnemyHitRadius=1.0 CanAimDownSight=false ADSZoomDelay=0.0 ADSZoomSensFactor=0.7 ADSMoveFactor=1.0 ADSStartDelay=0.0 ShootSoundCooldown=0.08 HitSoundCooldown=0.08 HitscanVisualOffset=X=0.000 Y=0.000 Z=-50.000 ADSBlocksShooting=false ShootingBlocksADS=false KnockbackFactorAir=9.0 RecoilNegatable=false DecalType=1 DecalSize=30.0 DelayAfterShooting=0.0 BeamTracksCrosshair=false AlsoShoot= ADSShoot= StunDuration=0.0 CircularSpread=true SpreadStationaryVelocity=0.0 PassiveCharging=false BurstFullyAuto=true FlatKnockbackHorizontal=0.0 FlatKnockbackVertical=0.0 HitscanRadius=0.0 HitscanVisualRadius=6.0 TaggingDuration=0.0 TaggingMaxFactor=1.0 TaggingHitFactor=1.0 ProjectileTrail=None RecoilCrouchScale=1.0 RecoilADSScale=1.0 PSRCrouchScale=1.0 PSRADSScale=1.0 ProjectileAcceleration=0.0 AccelIncludeVertical=true AimPunchAmount=0.0 AimPunchResetTime=0.05 AimPunchCooldown=0.5 AimPunchHeadshotOnly=false AimPunchCosmeticOnly=true MinimumDecelVelocity=0.0 PSRManualNegation=false PSRAutoReset=true AimPunchUpTime=0.05 AmmoReloadedOnKill=0 CancelReloadOnKill=false FlatKnockbackHorizontalMin=0.0 FlatKnockbackVerticalMin=0.0 ADSScope=No Scope ADSFOVOverride=72.099998 ADSFOVScale=Horizontal (16:9) ADSAllowUserOverrideFOV=true ForceFirstPersonInADS=true Explosive=false Radius=500.0 DamageAtCenter=100.0 DamageAtEdge=0.0 SelfDamageMultiplier=0.5 ExplodesOnContactWithEnemy=false DelayAfterEnemyContact=0.0 ExplodesOnContactWithWorld=false DelayAfterWorldContact=0.0 ExplodesOnNextAttack=false DelayAfterSpawn=0.0 BlockedByWorld=false SpreadSSA=1.0,1.0,-1.0,5.0 SpreadSCA=1.0,1.0,-1.0,5.0 SpreadMSA=1.0,1.0,-1.0,5.0 SpreadMCA=1.0,1.0,-1.0,5.0 SpreadSSH=1.0,1.0,-1.0,5.0 SpreadSCH=1.0,1.0,-1.0,5.0 SpreadMSH=1.0,1.0,-1.0,5.0 SpreadMCH=1.0,1.0,-1.0,5.0 MaxRecoilUp=0.0 MinRecoilUp=0.0 MinRecoilHoriz=0.0 MaxRecoilHoriz=0.0 FirstShotRecoilMult=1.0 RecoilAutoReset=false TimeToRecoilPeak=0.05 TimeToRecoilReset=0.35 AAMode=0 AAPreferClosestPlayer=false AAAlpha=0.05 AAMaxSpeed=1.0 AADeadZone=0.0 AAFOV=30.0 AANeedsLOS=true TrackHorizontal=true TrackVertical=true AABlocksMouse=false AAOffTimer=0.0 AABackOnTimer=0.0 TriggerBotEnabled=true TriggerBotDelay=0.01 TriggerBotFOV=1.0 StickyLock=false HeadLock=false VerticalOffset=0.0 DisableLockOnKill=false UsePerShotRecoil=false PSRLoopStartIndex=0 PSRViewRecoilTracking=0.45 PSRCapUp=9.0 PSRCapRight=4.0 PSRCapLeft=4.0 PSRTimeToPeak=0.095 PSRResetDegreesPerSec=40.0 UsePerBulletSpread=false PBS0=0.0,0.0 [Weapon Profile] Name=Rocket Launcher Type=Projectile ShotsPerClick=1 DamagePerShot=120.0 KnockbackFactor=5.0 TimeBetweenShots=0.8 Pierces=false Category=FullyAuto BurstShotCount=1 TimeBetweenBursts=0.5 ChargeStartDamage=10.0 ChargeStartVelocity=X=500.000 Y=0.000 Z=0.000 ChargeTimeToAutoRelease=2.0 ChargeTimeToCap=1.0 ChargeMoveSpeedModifier=1.0 MuzzleVelocityMin=X=5090.000 Y=0.000 Z=0.000 MuzzleVelocityMax=X=5090.000 Y=0.000 Z=0.000 InheritOwnerVelocity=0.0 OriginOffset=X=100.000 Y=0.000 Z=0.000 MaxTravelTime=5.0 MaxHitscanRange=100000.0 GravityScale=0.0 HeadshotCapable=false HeadshotMultiplier=2.0 MagazineMax=1 AmmoPerShot=1 ReloadTimeFromEmpty=0.5 ReloadTimeFromPartial=0.5 DamageFalloffStartDistance=100000.0 DamageFalloffStopDistance=100000.0 DamageAtMaxRange=25.0 DelayBeforeShot=0.0 HitscanVisualEffect=Tracer ProjectileGraphic=Rocket VisualLifetime=0.1 WallParticleEffect=Flare HitParticleEffect=Flare BounceOffWorld=false BounceFactor=0.0 BounceCount=0 HomingProjectileAcceleration=0.0 ProjectileEnemyHitRadius=2.0 CanAimDownSight=false ADSZoomDelay=0.0 ADSZoomSensFactor=0.7 ADSMoveFactor=1.0 ADSStartDelay=0.0 ShootSoundCooldown=0.08 HitSoundCooldown=0.08 HitscanVisualOffset=X=0.000 Y=0.000 Z=0.000 ADSBlocksShooting=false ShootingBlocksADS=false KnockbackFactorAir=5.0 RecoilNegatable=false DecalType=0 DecalSize=30.0 DelayAfterShooting=0.0 BeamTracksCrosshair=false AlsoShoot= ADSShoot= StunDuration=0.0 CircularSpread=true SpreadStationaryVelocity=0.0 PassiveCharging=false BurstFullyAuto=true FlatKnockbackHorizontal=0.0 FlatKnockbackVertical=0.0 HitscanRadius=0.0 HitscanVisualRadius=6.0 TaggingDuration=0.0 TaggingMaxFactor=1.0 TaggingHitFactor=1.0 ProjectileTrail=None RecoilCrouchScale=1.0 RecoilADSScale=1.0 PSRCrouchScale=1.0 PSRADSScale=1.0 ProjectileAcceleration=0.0 AccelIncludeVertical=true AimPunchAmount=0.0 AimPunchResetTime=0.1 AimPunchCooldown=0.5 AimPunchHeadshotOnly=false AimPunchCosmeticOnly=true MinimumDecelVelocity=0.0 PSRManualNegation=false PSRAutoReset=true AimPunchUpTime=0.05 AmmoReloadedOnKill=1 CancelReloadOnKill=true FlatKnockbackHorizontalMin=0.0 FlatKnockbackVerticalMin=0.0 ADSScope=No Scope ADSFOVOverride=72.099998 ADSFOVScale=Horizontal (16:9) ADSAllowUserOverrideFOV=true ForceFirstPersonInADS=true Explosive=true Radius=500.0 DamageAtCenter=120.0 DamageAtEdge=0.1 SelfDamageMultiplier=0.5 ExplodesOnContactWithEnemy=true DelayAfterEnemyContact=0.0 ExplodesOnContactWithWorld=false DelayAfterWorldContact=0.0 ExplodesOnNextAttack=false DelayAfterSpawn=0.0 BlockedByWorld=false SpreadSSA=1.0,1.0,-1.0,0.0 SpreadSCA=1.0,1.0,-1.0,0.0 SpreadMSA=1.0,1.0,-1.0,0.0 SpreadMCA=1.0,1.0,-1.0,0.0 SpreadSSH=1.0,1.0,-1.0,0.0 SpreadSCH=1.0,1.0,-1.0,0.0 SpreadMSH=1.0,1.0,-1.0,0.0 SpreadMCH=1.0,1.0,-1.0,0.0 MaxRecoilUp=0.0 MinRecoilUp=0.0 MinRecoilHoriz=0.0 MaxRecoilHoriz=0.0 FirstShotRecoilMult=1.0 RecoilAutoReset=false TimeToRecoilPeak=0.05 TimeToRecoilReset=0.35 AAMode=2 AAPreferClosestPlayer=false AAAlpha=0.5 AAMaxSpeed=0.5 AADeadZone=0.0 AAFOV=180.0 AANeedsLOS=true TrackHorizontal=true TrackVertical=true AABlocksMouse=false AAOffTimer=0.0 AABackOnTimer=0.0 TriggerBotEnabled=true TriggerBotDelay=0.001 TriggerBotFOV=1.0 StickyLock=false HeadLock=false VerticalOffset=0.0 DisableLockOnKill=false UsePerShotRecoil=false PSRLoopStartIndex=0 PSRViewRecoilTracking=0.45 PSRCapUp=9.0 PSRCapRight=4.0 PSRCapLeft=4.0 PSRTimeToPeak=0.095 PSRResetDegreesPerSec=40.0 UsePerBulletSpread=false PBS0=0.0,0.0 [Weapon Profile] Name=LG Type=Hitscan ShotsPerClick=1 DamagePerShot=6.0 KnockbackFactor=2.0 TimeBetweenShots=0.046 Pierces=false Category=FullyAuto BurstShotCount=1 TimeBetweenBursts=0.5 ChargeStartDamage=10.0 ChargeStartVelocity=X=500.000 Y=0.000 Z=0.000 ChargeTimeToAutoRelease=2.0 ChargeTimeToCap=1.0 ChargeMoveSpeedModifier=1.0 MuzzleVelocityMin=X=2000.000 Y=0.000 Z=0.000 MuzzleVelocityMax=X=2000.000 Y=0.000 Z=0.000 InheritOwnerVelocity=0.0 OriginOffset=X=0.000 Y=0.000 Z=0.000 MaxTravelTime=5.0 MaxHitscanRange=100000.0 GravityScale=1.0 HeadshotCapable=false HeadshotMultiplier=2.0 MagazineMax=0 AmmoPerShot=1 ReloadTimeFromEmpty=0.5 ReloadTimeFromPartial=0.5 DamageFalloffStartDistance=100000.0 DamageFalloffStopDistance=100000.0 DamageAtMaxRange=7.0 DelayBeforeShot=0.0 HitscanVisualEffect=Tracer ProjectileGraphic=Ball VisualLifetime=0.05 WallParticleEffect=None HitParticleEffect=None BounceOffWorld=false BounceFactor=0.0 BounceCount=0 HomingProjectileAcceleration=0.0 ProjectileEnemyHitRadius=1.0 CanAimDownSight=false ADSZoomDelay=0.0 ADSZoomSensFactor=0.7 ADSMoveFactor=1.0 ADSStartDelay=0.0 ShootSoundCooldown=0.08 HitSoundCooldown=0.08 HitscanVisualOffset=X=0.000 Y=0.000 Z=-80.000 ADSBlocksShooting=false ShootingBlocksADS=false KnockbackFactorAir=9.0 RecoilNegatable=false DecalType=0 DecalSize=30.0 DelayAfterShooting=0.0 BeamTracksCrosshair=true AlsoShoot= ADSShoot= StunDuration=0.0 CircularSpread=true SpreadStationaryVelocity=0.0 PassiveCharging=false BurstFullyAuto=true FlatKnockbackHorizontal=0.0 FlatKnockbackVertical=0.0 HitscanRadius=0.0 HitscanVisualRadius=6.0 TaggingDuration=0.0 TaggingMaxFactor=1.0 TaggingHitFactor=1.0 ProjectileTrail=None RecoilCrouchScale=1.0 RecoilADSScale=1.0 PSRCrouchScale=1.0 PSRADSScale=1.0 ProjectileAcceleration=0.0 AccelIncludeVertical=true AimPunchAmount=0.0 AimPunchResetTime=0.1 AimPunchCooldown=0.5 AimPunchHeadshotOnly=false AimPunchCosmeticOnly=true MinimumDecelVelocity=0.0 PSRManualNegation=false PSRAutoReset=true AimPunchUpTime=0.05 AmmoReloadedOnKill=0 CancelReloadOnKill=false FlatKnockbackHorizontalMin=0.0 FlatKnockbackVerticalMin=0.0 ADSScope=No Scope ADSFOVOverride=72.099998 ADSFOVScale=Horizontal (16:9) ADSAllowUserOverrideFOV=true ForceFirstPersonInADS=true Explosive=false Radius=500.0 DamageAtCenter=100.0 DamageAtEdge=0.0 SelfDamageMultiplier=0.5 ExplodesOnContactWithEnemy=false DelayAfterEnemyContact=0.0 ExplodesOnContactWithWorld=false DelayAfterWorldContact=0.0 ExplodesOnNextAttack=false DelayAfterSpawn=0.0 BlockedByWorld=false SpreadSSA=1.0,1.0,-1.0,0.0 SpreadSCA=1.0,1.0,-1.0,0.0 SpreadMSA=1.0,1.0,-1.0,0.0 SpreadMCA=1.0,1.0,-1.0,0.0 SpreadSSH=1.0,1.0,-1.0,0.0 SpreadSCH=1.0,1.0,-1.0,0.0 SpreadMSH=1.0,1.0,-1.0,0.0 SpreadMCH=1.0,1.0,-1.0,0.0 MaxRecoilUp=0.0 MinRecoilUp=0.0 MinRecoilHoriz=0.0 MaxRecoilHoriz=0.0 FirstShotRecoilMult=1.0 RecoilAutoReset=false TimeToRecoilPeak=0.05 TimeToRecoilReset=0.35 AAMode=0 AAPreferClosestPlayer=false AAAlpha=0.05 AAMaxSpeed=1.0 AADeadZone=0.0 AAFOV=30.0 AANeedsLOS=true TrackHorizontal=true TrackVertical=true AABlocksMouse=false AAOffTimer=0.0 AABackOnTimer=0.0 TriggerBotEnabled=false TriggerBotDelay=0.0 TriggerBotFOV=1.0 StickyLock=false HeadLock=false VerticalOffset=0.0 DisableLockOnKill=false UsePerShotRecoil=false PSRLoopStartIndex=0 PSRViewRecoilTracking=0.45 PSRCapUp=9.0 PSRCapRight=4.0 PSRCapLeft=4.0 PSRTimeToPeak=0.095 PSRResetDegreesPerSec=40.0 UsePerBulletSpread=false [Map Data]

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clc T2=300 //temperature in Kelvin T1=420 //temperature in Kelvin Eta=1-(T2/T1) mprintf("maximum possible efficiency=%f",Eta)//ans vary due to roundoff error

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//[]=fcontour_(xr,yr,f,nz,teta,alpha,legend,flag,bbox,zlev) //[]=fcontour_(xr,yr,f,nz,[teta,alpha,legend,flag,bbox,zlev]) // Trace des courbes de niveau de la surface // d\'efinie par un external f ( ex macro [y]=f(x)) // on calcule d'abord f sur la grille definie par xr.yr // xr et yr sont des vecteurs implicites donnant les // abscisses et les ordonn\'ees des points de la grille // - x est une matrice de taille (1,n1) // - y est une matrice de taille (1,n2) // nz : permet de specifier les niveaux cherches // si nz est un nombre c'est le nombre de courbes de niveau demandees // regulierement espacees entre zmin et zmax // si est un vecteur, il specifie les valeurs de z pour lesquelles // on veut les courbes de niveau // // Les arguments suivants sont optionnels et sont identiques a ceux de // plot3d (sauf zlev), il permettent de dessiner des courbes de niveau // sur un graphique 3d. // Seule la signification de flag(1) est differente : // flag(1)=0, les courbes de niveaux sont dessinees // sur un graphique 3d, sur la surface definie par (x,y,z) // flag(1)=1, les courbes de biveaux sont dessinees // sur un graphique 3d, sur le plan defini par z=zlev // flag(1)=2, les courbes de biveaux sont dessinees // sur un graphique 2d. // Exemple : taper fcontour() pour voir un exemple . // deff('[z]=surf(x,y)','z=x**2+y**2'); // fcontour(surf,-1:0.1:1,-1:0.1:1,10); // //! [lhs,rhs]=argn(0); if rhs=0,s_mat=['deff(''[z]=surf(x,y)'',''z=x**2+y**2'');'; 'fcontour(-1:0.1:1,-1:0.1:1,surf,10);']; write(%io(2),s_mat);execstr(s_mat); return;end; if rhs<3,write(%io(2),[' I need at least 3 arguments'; 'or zero to have a demo']); return;end if rhs<4,nz=10,end; if rhs<5,teta=35,end; if rhs<6,alpha=45,end; if rhs<7,leg="X@Y@Z",end; if rhs<8,flag=[2,2,3],end; if rhs<9,bbox=0*ones(1,6),end; if rhs<10,zlev=0;end if type(f)=11 then comp(f),end; Contour(xr,yr,feval(xr,yr,f),nz,teta,alpha,leg,flag,bbox,zlev); //end

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clear; clc; vl=132000; s=50000000; pf=.85; l=80; function [r,i]=d(mag,theta) r=mag*cosd(theta); i=mag*sind(theta); endfunction previousprot = funcprot(0) funcprot(0) mag=96; theta=78; [r,i]=d(mag,theta); z=complex(r,i); mag=.001; theta=90; [r,i]=d(mag,theta); y=complex(r,i); vrp=vl/sqrt(3); Irp=s/(sqrt(3)*vl*pf); mag=Irp; theta=-acosd(pf); [r,i]=d(mag,theta); irp=complex(r,i); //a).for the nominal T network parameters are A=1+.5*z*y; B=z*(1+.25*z*y); C=y; D=A; disp(A); disp(B); disp(C); disp(D); //phase voltage at the sending end is vsp=A*vrp+B*irp; vsl=sqrt(3)*vsp; disp(vsp); //c). is=C*vrp+D*irp; disp(is); //d). qs=atand(imag(vsp)/real(vsp))-atand(imag(is)/real(is)); printf("\n The power factor at the sending end is:%.3f (lagging)",cosd(qs)); //e). r=real(vsl); i=imag(vsl); function [mag,theta]=c(r,i) mag=sqrt(r*r + i*i) theta=atand(i/r) endfunction previousprot = funcprot(0) funcprot(0) [mag,theta]=c(r,i); Vsl=mag; r=real(is); i=imag(is); [mag,theta]=c(r,i); Is=mag; eff=s/(sqrt(3)*Vsl*Is*cosd(qs)); printf("\n The efficiency of transmission is:%.2f per cent",eff*100);

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clear// //Variables VGS1 = -3.1 //Gate-Source voltage (in volts) VGS2 = -3.0 //Gate-Source voltage (in volts) ID1 = 1.0 //Drain current (in milli-Ampere) ID2 = 1.3 //Drain current (in milli-Ampere) //Calculation dVGS = VGS2 - VGS1 //Change in Gate-Source voltage (in volts) dID = ID2 - ID1 //Change in Drain current (in milli-Ampere) gm = dID / dVGS //Transconductance (in milli-Ampere per volt) //Result printf("\n The value of transconductance is %0.3f mA/V.",gm)

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//Example14.7 // determine the duty cycle of the switching regulator circuit clc; clear; close; ton = 12 ; //msec // on time of pulse // ton = 2*toff ; given // T = ton + toff ; toff = ton/2 ; T = ton+toff ; // total time // The duty cycle of switching regulator circuit is given by d = ton/T; disp('The output voltage of switching regulator circuit is = '+string(d)+' ');

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//Example_a_8_12 page no:332 clc; //variables cannot be used without initialization and hence the equation cannot be derived like in the text book, the capacitance value can be calculated using the derived values by substituting known values in the equation C=15/(2*%pi*10^6*1256*80); C=C*10^12;//converting to pico Farad disp(C,"the value of C to give resonance is (in pF)");

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function [den]=denom(r) //returns the denominator of a rational matrix //%Syntax: den=denom(r) //with //r: rational function matrix (may be polynomial or scalar matrix) //den: polynomial matrix //! select type(r) case 1 then den=ones(r); case 2 then den=ones(r); case 15 then if r(1)<>'r' then error(92,1),end den=r(3) else error(92,1) end

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errcatch(-1,"stop");mode(2);//calculating hardness //Example 1.1 //100gm of CaCO3 = 136gm of CaSO4 m=204//mass of the substance wt=136//molecular mass Eq=(m*100)/wt//Equivalents of CaCO3 printf('Thus Equivalents of CaCO3 = %3.2f mg/L or ppm',Eq) exit();

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function curva(x,y,dim,pos) //x,y é a posição do nó //dim é a dimensão da matriz de adjacências //pos representa a posição no vetor angle beta=0.5; a=get("current_axes")//get the handle of the newly created axes a.data_bounds=[-2,-2;15,15]; t=2*%pi*(0:19)/20; xx=[x+beta*cos(t)+beta*cos(pos);y+beta*sin(t)+beta*sin(pos)]; xpoly(xx(1,:),xx(2,:),"lines",0) p1=get("hdl"); //get handle on current entity (here the polyline entity) //p.foreground=2; //p.thickness=3; p1.mark_mode='off' t1=2*%pi*(19:20)/20; xy2=[x+beta*cos(t1)+beta*cos(pos);y+beta*sin(t1)+beta*sin(pos)]; xpoly(xy2(1,:),xy2(2,:),"lines",0) p2=get("hdl") p2.polyline_style=4; p2.arrow_size_factor=2; endfunction function grafo(M) [L C]=size(M); a=get("current_axes")//get the handle of the newly created axes a.data_bounds=[-10,-10;15,15]; t=[0:C-1]*2*%pi/C; x=5+5*cos(t); y=5+5*sin(t); /////////////////////////////// x1=x+0.7*cos(t);//para colocar a identificação dos vértices y1=y+0.7*sin(t);//para colocar a identificação dos vértices /////////////////fazer as curvas///////////// for i=1:C if M(i,i)==1 curva(x(i),y(i),C,t(i)) end end ///////////////////////////// k1=1; k2=1; for i=1:C for j=1:C if i~=j if M(i,j)==1 XX(1,k1)=x(i); XX(1,k1+1)=x(j); YY(1,k1)=y(i); YY(1,k1+1)=y(j); k1=k1+2; end end end end //xpoly(XXX,YYY,"marks") //e=gce(); //set(e,"mark_style",9); //set(e,"mark_size",10); //set(e,"mark_mode","on"); e=gce(); xarrows(XX',YY',7) xset("font",1,5); xstring(x1,y1,string(1:C)) endfunction

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//Example 14.1 //Program to determine the attenuation per kilometer for the fiber //and estimate the accuracy of the result clear; clc ; close ; //Given data L1=2*10^3; //metres - INITIAL LENGTH L2=2; //metres - FINAL LENGTH V1=2.1; //volts - INITIAL OUTPUT VOLTAGE V2=10.7; //volts - FINAL OUTPUT VOLTAGE //Attenuation per Kilometer alpha_dB=10/(L1-L2)*log10(V2/V1); //Uncertainity in measured attenuation Uncertainity=0.2/(L1-L2); //Displaying the Results in Command Window printf("\n\n\t Attenuation is %0.1f dB/km.",alpha_dB*10^3); printf("\n\n\t Uncertainity in measured attenuation is +-%0.1f dB.",Uncertainity*10^3);

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2021-01-20T11:34:43.535019

2016-09-27T05:12:48

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sce

schurrc6.sce

//check o/p for a vector i/p r=[1 2 3 4 5]; y=schurrc(r); disp(y); //output // // - 2. // - 0.3333333 // - 0.25 // - 0.2