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//Example No. 5.22 clc; clear; close; format('v',6); //Given Data : V1=500;//V N1=1500;//rpm Ia=100;//A V2=350;//V Ra=1.1;//ohm alfa=45;//degree N2=1200;//rpm //V=K*omega+Ia*Ra K=(V1-Ia*Ra)/(N1*2*%pi/60);//V-s/rad or N-m/A V=3*sqrt(3)*V2*sqrt(2)/2/%pi/sqrt(3)*(1+cosd(alfa));//Volt Ia=(V-K*N2*2*%pi/60)/Ra;//A disp(Ia,"RMS soirce current in A : "); Vin_rms=Ia*sqrt(120/180);//V Iavg=Ia/3;//A disp(Iavg,"Average thyristor current in A : "); Irms=Ia/sqrt(3);//A disp(Irms,"RMS thyristor current in A : "); pf_in=V*Ia/sqrt(3)/V2/Vin_rms;//lagging disp(pf_in,"Input power factor)lagging : ");
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// Scilab code Exa1.4.4 : To determine the density of U-235 nucleus : Page 34 (2011) m = 1.66e-027; // Mass of a nucleon, kg A = 235; // Atomic mass of U-235 nucleus M = A*m; //Mass of the U-235 nucleus, kg r0 = 1.2e-015; // Distance of closest approach, m r = r0*(A)^(1/3); // Radius of the U-235 nucleus V = 4/3*(%pi*r^3); // Volume of the U-235 nucleus,m^3 d = M/V; // Density of the U-235 nucleus,kg/m^3 printf("\nThe density of U-235 nucleus : %4.2e kg per metre cube",d) // Result // The density of U-235 nucleus : 2.29e+017 kg per metre cube
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//chapter 2 //formula etta=Prad/Prad+Ploss=Rrad/Rrad+Rloss printf("\n"); Rrad=72; printf("radiation resistance is %dohm",Rrad); Rloss=8; ettar=72/(72+8); printf("\nthe Loss resistance is %dohm",Rloss); Gpmax=30; printf("\nthe power gain of antenna is %d",Gpmax); Gdmax=Gpmax/ettar; Gdmax1=10 *log10(Gdmax);//in db printf("\nthe Directivity gain is %g",Gdmax); printf("\nthe Directivity gain in db is given by %edb",Gdmax1);
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clc; // page no 105 // prob no 3.1 Erms_car=2; f_car=1.5*10^6;f_mod=500;Erms_mod=1;// given // Equation requires peak voltages & radian frequencies Ec=sqrt(2)*Erms_car; Em=sqrt(2)*Erms_mod; wc=2*%pi*f_car; wm=2*%pi*f_mod;t=1; // Therefore the equation is disp('v(t) = (2.83+1.41*sin(3.14*10^3*t))*sin(9.42*10^6*t) V');
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//example-23.1 //page no-681 //given //length of glass rod and steel rod is equal at 273 K and differ by 1.2 mm at 373 K T1=273 //K T2=373 //K //coefficients of linear expansion af glass and steel are alphaG=8*10^-6 //per degree C alphaS=12*10^-6 //per degrees C //we know that //lT2=lT1*(1+alpha(T2-T1)) //so for glass rod //l100G=l0*(1+(alpha1)*(T2-T1)) //similarly for steel rod //l100G=1.0008*l0 ----(1) //l100S=lo*(1+(alpha2)*(T2-T1)) //l100S=1.0012*l0 ----------(2) //we have given that //l100S-l100G=1.2 mm ---(3) //from 1 and 2 put in 3, we get //1.0012*l0-1.0008*l0=1.2 //so l0=1.2*10^-3/(0.0012-.0008) //m printf ("the length of rod at 0 degrees celcius is %f m",l0)
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sadiku_11_11.sce
clear; clc; h=1, w=.8, Er=6.6, P= atan(.0001), c= 5.8*10^7,f=10^10,mu=4*%pi*10^(-7),C=3*10^8; r=w/h; Ee=((Er+1)/2)+ ((Er-1)/(2*(1+12/r)^.5)); Zo=(120*%pi)/((r+1.393+ (.667*log(r+1.444)))*((Ee)^.5)); Rs=((%pi*f*mu)/c)^.5; ac=8.686*Rs/(w*10^-3*Zo); disp(ac,'Conduction Attenuation Constant = '); l=C/(f*(Ee)^.5); disp(l); ad=27.3*(Ee-1)*Er*tan(P)/((Er-1)*Ee*l); disp(ad,'Dielectric Attenuation Constant =');
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15_11.sce
//Example 15.11 //Midpoint Method //Page no. 518 clc;clear;close; deff('y=f(x,y)','y=y+x') y=1; h=0.2; printf('i\txi\tyi\tslope1\tslope2\ty(i+1)\n-----------------------------------------------\n') for i=1:3 x=(i-1)*h s1=f(x,y); s2=f(x+h/2,y+s1*h/2); printf(' %i\t%g\t%g\t%g\t%g',i-1,x,y,s1,s2) y=y+s2*h; printf('\t%g\n',y) end
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Example9_1.sce
clear; clc; // Example 9.1 printf('Example 9.1\n\n'); // Page no. 228 // Solution // Given //Main eqn. C6H12O6 + aO2 ---> bCO2 + cH2O // By carbon balance b = 6 ; //By hydrogen balance c = 6; //Balancing oxygen in reaction a = (c*1+b*2-6)/2; printf('Value of a is %i\n',a); printf('Value of b is %i\n',b); printf('Value of c is %i\n',c);
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clear; clc; v2(1)=1; v2(2)=.983664-.032316*%i; a=1.6; v2(3)=v2(1)+a*(v2(2)-v2(1)); mprintf("the voltage =%f+(%f)jV",real(v2(3)),imag(v2(3)));
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// Ex 67 Page 407 clc;clear;close; // Given //v=350*sin(omega*t)+80*sin(3*omega*t+%pi/3)+40*sin(5*omega*t+5*%pi/6) V1=350;V3=80;V5=40;//V fi1=0;fi3=60;fi5=150;//degree R=20;//omh L=0.05;//H omega=314;//rad/s X1=omega*L;//ohm Z1=R+%i*X1;//ohm X3=3*omega*L;//ohm Z3=R+%i*X3;//ohm X5=5*omega*L;//ohm Z5=R+%i*X5;//ohm [r1,t1]=polar(Z1); [r3,t3]=polar(Z3); [r5,t5]=polar(Z5); I1m=V1/r1;//A I3m=V3/r3;//A I5m=V5/r5;//A Irms=sqrt(I1m^2/2+I3m^2/2+I5m^2/2);//A Vrms=sqrt(V1^2/2+V3^2/2+V5^2/2);//A printf("\n Irms=%.f A\n Vrms=%.f V",Irms,Vrms) P=Irms^2*R;//W printf("\n Total Power, P=%.f W",P) cosfi=P/Vrms/Irms;//Power factor printf("\n Power factor = %.2f",cosfi)
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TEMPLATE_EXAMPLE.tst
-- VectorCAST 21.sp3 (08/04/21) -- Test Case Script -- -- Environment : TEMPLATE_EXAMPLE -- Unit(s) Under Test: manager -- -- Script Features TEST.SCRIPT_FEATURE:C_DIRECT_ARRAY_INDEXING TEST.SCRIPT_FEATURE:CPP_CLASS_OBJECT_REVISION TEST.SCRIPT_FEATURE:MULTIPLE_UUT_SUPPORT TEST.SCRIPT_FEATURE:REMOVED_CL_PREFIX TEST.SCRIPT_FEATURE:MIXED_CASE_NAMES TEST.SCRIPT_FEATURE:STATIC_HEADER_FUNCS_IN_UUTS TEST.SCRIPT_FEATURE:VCAST_MAIN_NOT_RENAMED -- -- Unit: manager -- Subprogram: Place_Order -- Test Case: (MAP)Place_Order.001 TEST.UNIT:manager TEST.SUBPROGRAM:Place_Order TEST.NEW TEST.NAME:(MAP)Place_Order.001 TEST.CSV_FILENAME:C:/Users/vjtkmg/Documents/GitLocal/VectorCAST/Tutorial/SourceCode/c/csv_test_data.csv TEST.CSV_DELIMITER:COMMA TEST.CSV_HEADER_ROWS: 5 TEST.CSV_SKIPPED_ROWS: 5 TEST.CSV_ROWS_PER_TESTCASE: 1 TEST.CSV_NAME_COL: 1 TEST.CSV_COLUMN_INFO: 2, TEST.VALUE:manager.Place_Order.Table TEST.CSV_COLUMN_INFO: 3, TEST.VALUE:manager.Place_Order.Seat TEST.CSV_COLUMN_INFO: 4, TEST.VALUE:manager.Place_Order.MyOrder.Salad TEST.CSV_COLUMN_INFO: 5, TEST.VALUE:manager.Place_Order.MyOrder.Entree TEST.CSV_COLUMN_INFO: 6, TEST.VALUE:manager.Place_Order.MyOrder.Beverage TEST.CSV_COLUMN_INFO: 7, TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Is_Occupied TEST.CSV_COLUMN_INFO: 8, TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Number_In_Party TEST.CSV_COLUMN_INFO: 9, TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Order[1].Entree TEST.CSV_COLUMN_INFO: 10, TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Check_Total TEST.END -- Test Case: CSV_Chicken TEST.UNIT:manager TEST.SUBPROGRAM:Place_Order TEST.NEW TEST.NAME:CSV_Chicken TEST.NOTES: ----------------------------------------------------------------------- Row 2 from C:/Users/vjtkmg/Documents/GitLocal/VectorCAST/Tutorial/SourceCode/c/csv_test_data.csv Column 2: TEST.VALUE:manager.Place_Order.Table Column 3: TEST.VALUE:manager.Place_Order.Seat Column 4: TEST.VALUE:manager.Place_Order.MyOrder.Salad Column 5: TEST.VALUE:manager.Place_Order.MyOrder.Entree Column 6: TEST.VALUE:manager.Place_Order.MyOrder.Beverage Column 7: TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Is_Occupied Column 8: TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Number_In_Party Column 9: TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Order[1].Entree Column 10: TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Check_Total TEST.END_NOTES: TEST.VALUE:manager.Place_Order.Table:1 TEST.VALUE:manager.Place_Order.Seat:1 TEST.VALUE:manager.Place_Order.MyOrder.Salad:GREEN TEST.VALUE:manager.Place_Order.MyOrder.Entree:CHICKEN TEST.VALUE:manager.Place_Order.MyOrder.Beverage:BEER TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Is_Occupied:v_true TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Number_In_Party:1 TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Order[1].Entree:CHICKEN TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Check_Total:10.0 TEST.END -- Test Case: CSV_Lobster TEST.UNIT:manager TEST.SUBPROGRAM:Place_Order TEST.NEW TEST.NAME:CSV_Lobster TEST.NOTES: ----------------------------------------------------------------------- Row 3 from C:/Users/vjtkmg/Documents/GitLocal/VectorCAST/Tutorial/SourceCode/c/csv_test_data.csv Column 2: TEST.VALUE:manager.Place_Order.Table Column 3: TEST.VALUE:manager.Place_Order.Seat Column 4: TEST.VALUE:manager.Place_Order.MyOrder.Salad Column 5: TEST.VALUE:manager.Place_Order.MyOrder.Entree Column 6: TEST.VALUE:manager.Place_Order.MyOrder.Beverage Column 7: TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Is_Occupied Column 8: TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Number_In_Party Column 9: TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Order[1].Entree Column 10: TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Check_Total TEST.END_NOTES: TEST.VALUE:manager.Place_Order.Table:1 TEST.VALUE:manager.Place_Order.Seat:1 TEST.VALUE:manager.Place_Order.MyOrder.Salad:GREEN TEST.VALUE:manager.Place_Order.MyOrder.Entree:LOBSTER TEST.VALUE:manager.Place_Order.MyOrder.Beverage:BEER TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Is_Occupied:v_true TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Number_In_Party:1 TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Order[1].Entree:LOBSTER TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Check_Total:18.0 TEST.END -- Test Case: CSV_Steak TEST.UNIT:manager TEST.SUBPROGRAM:Place_Order TEST.NEW TEST.NAME:CSV_Steak TEST.NOTES: ----------------------------------------------------------------------- Row 1 from C:/Users/vjtkmg/Documents/GitLocal/VectorCAST/Tutorial/SourceCode/c/csv_test_data.csv Column 2: TEST.VALUE:manager.Place_Order.Table Column 3: TEST.VALUE:manager.Place_Order.Seat Column 4: TEST.VALUE:manager.Place_Order.MyOrder.Salad Column 5: TEST.VALUE:manager.Place_Order.MyOrder.Entree Column 6: TEST.VALUE:manager.Place_Order.MyOrder.Beverage Column 7: TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Is_Occupied Column 8: TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Number_In_Party Column 9: TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Order[1].Entree Column 10: TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Check_Total TEST.END_NOTES: TEST.VALUE:manager.Place_Order.Table:1 TEST.VALUE:manager.Place_Order.Seat:1 TEST.VALUE:manager.Place_Order.MyOrder.Salad:GREEN TEST.VALUE:manager.Place_Order.MyOrder.Entree:STEAK TEST.VALUE:manager.Place_Order.MyOrder.Beverage:BEER TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Is_Occupied:v_true TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Number_In_Party:1 TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Order[1].Entree:STEAK TEST.EXPECTED:uut_prototype_stubs.Update_Table_Record.Data.Check_Total:24.0 TEST.END
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TP_AF.sce
f0=0.2; Fe=32; step=0.1; N=15; lambda=-10:step:10; Sn_lambda = (1/Fe)*(exp(-30*%i*%pi*(f0-lambda/Fe))-exp(30*%i*%pi*(f0-lambda/Fe)))/(1-exp(2*%i*%pi*(f0-lambda/Fe))); plot(lambda, Sn_lambda, "r+");
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/Lab_3-Sistemas_Lineares/bigBang.sce
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[]
no_license
samuel-cavalcanti/Computacao-Numerica
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2019-02-05T18:14:12
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bigBang.sce
exec('linearSystemMethods.sce') function relativeError = bigBangErro(sN,sA) for i =1:length(sN) relativeError(i)= abs(sN(i) - sA(i))/sA(i) end endfunction function distance= euclideanDistance(pos0,pos1 ) distance = (pos0(1)- pos1(1))^2 + (pos0(2) -pos1(2))^2 distance = sqrt(distance) endfunction bigBang = [878, 358, 1678.0399061032863]' //posX: 937 posY: 725 time: 4220.072751322751 time = [1845.8438967136149, 1980.087089201878 ] redBallPos1 = [1055, 568] greenBallPos1 = [970 ,350] blueBallPos1 = [426, 210 ] redBallPos2 = [1145, 651] greenBallPos2 = [1072, 340] blueBallPos2 = [120, 77] // vel(1) == redBallVelocity, vel(2) == greenBallVelocity. vel(3) == blueBallVelocity deltaT = time(2) - time(1); velRed = euclideanDistance(redBallPos1,redBallPos2)/deltaT; velGreen = euclideanDistance(greenBallPos1,greenBallPos2)/deltaT; velBlue = euclideanDistance(blueBallPos1,blueBallPos2)/deltaT; vel = [velRed,velGreen,velBlue] thetaRed = atan(redBallPos2(2)-redBallPos1(2), redBallPos2(1)-redBallPos1(1)); thetaGreen = atan(greenBallPos2(2)-greenBallPos1(2), greenBallPos2(1)-greenBallPos1(1) ); thetaBlue = atan(blueBallPos2(2)-blueBallPos1(2), blueBallPos2(1)-blueBallPos1(1) ); //// thetas(1) == redBallAngle, thetas(2) == greenBallAngle. thetas(3) == blueBallAngle theta = [thetaRed,thetaGreen,thetaBlue ] A = [0, -cos(theta(1)), vel(1)*sin(theta(1))*cos(theta(1)); sin(theta(2)), -cos(theta(2)), 0; sin(theta(3)), 0, -vel(3)*sin(theta(3))*cos(theta(3))] B = [-cos(theta(1))*redBallPos2(2)+vel(1)*sin(theta(1))*cos(theta(1))*time(2); sin(theta(2))*greenBallPos2(1)-cos(theta(2))*greenBallPos2(2); sin(theta(3))*blueBallPos2(1)-vel(3)*sin(theta(3))*cos(theta(3))*time(2)] [A1,B1] = verifyMatrix(A,B) X1 = Gauss(A1,B1); relativeError = bigBangErro(X1,bigBang) //[iter, X1] = jacobi(A,B,zeros(B),10^-15,10^15) //[iter, X1] = gaussSeidel (A,B,zeros(B),10^-15,10^5)
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OpenAgricultureFoundation/openag_sim
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2021-07-01T06:25:08.753260
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gl_display.sci
function [] = gl_display(MTh,VTh,MSTh,VSTh,MSim,VSim,MSSim,VSSim,Tr,S) // Display mode mode(-1); // Display warning for floating point exception //ieee(1); N = size(MSim,1);maxp = size(MSim,2); //%%%%%%%%%%%%%%%%%%%%%%%display mean and covariance %%%%%%%%%%%%%%%%%%%%%%%%%%%% printf("------------- stochastic structure simulation --------------\n"); printf("\n"); printf("substruture sample size:"); for p = 1:maxp printf("%4d ",Tr(p)); end; z = zeros(1,maxp); for p = 1:maxp if VTh(1,p,N)>0 then z(p)=(MSim(N,p)-MTh(1,p,N))*sqrt(Tr(1))/sqrt(VTh(1,p,N)); else z(p)=0; end; end; printf("\n"); printf(" MSim VSim MTh VTh z\n"); for p = 1:maxp printf("Phy age %d : ",p); printf(" %8.3f %8.3f ",MSim(N,p),VSim(N,p)); printf(" %8.3f %8.3f ",MTh(1,p,N),VTh(1,p,N)); printf(" %8.3f \n",z(p)); end; printf("TOTAL : %8.3f %8.3f %8.3f %8.3f\n",MSSim(N),VSSim(N),MSTh(1,N),VSTh(1,N)); M = MSTh(1,N);V = VSTh(1,N);V = sqrt(V); Flag_distribution = 0; if Flag_distribution==1 then //approximate with a normal distribution tmp = zeros(N,maxp); tmp = matrix(S(1,:,N,:,1),N,maxp); tmp1 = sum(tmp,1); Nm = ceil(M); if V>0 then //Nm=ceil(M+4*sqrt(V)); Nm = sum(tmp1); end; f = zeros(1,Nm(1)); for j = 0:Nm if V>0 then f(1,j+1) = (1/sqrt(2*%pi*V))*exp(-(1/2)*((j-M)/V)^2); else f(1,M) = 1; end; end; f = f/sum(f); //normalize k = 0:Nm; plot(k,f,"r"); h = gce(); %set(mtlb(h),"LineWidth",2); M1 = 0; M2 = 0; for k = 0:Nm M1 = M1+(k+1)*f(k+1); M2 = M2+((k+1)^2)*f(k+1); end; V1 = M2-M1^2; printf("M1=%8.2f,V1=%8.2f\n",M1,V1); legend(["Simulation","Normal distribution"]) //title('P_m=2,M_a=[10 10],T=[250 250],p_a=[.9 .8],p_b=[1 .8],p_c=[0.95 0.9],p_i=[0.8 0.7]') end; endfunction
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Mux4Way16.tst
// This file is part of the materials accompanying the book // "The Elements of Computing Systems" by Nisan and Schocken, // MIT Press. Book site: www.idc.ac.il/tecs // File name: projects/01/Mux4Way16.tst load Mux4Way16.hdl, output-file Mux4Way16.out, compare-to Mux4Way16.cmp, output-list a%B1.16.1 b%B1.16.1 c%B1.16.1 d%B1.16.1 sel%B2.2.2 out%B1.16.1; set a %B0000000000000000, set b %B0000000000000000, set c %B0000000000000000, set d %B0000000000000000, set sel %B00, eval, output; set sel %B01, eval, output; set sel %B10, eval, output; set sel %B11, eval, output; set a %B0001001000110100, set b %B1001100001110110, set c %B1010101010101010, set d %B0101010101010101, set sel %B00, eval, output; set sel %B01, eval, output; set sel %B10, eval, output; set sel %B11, eval, output;
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pipidog/PiLib-Scilab
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PiLab_spl.sci
// **** Purpose **** // PiLab hamiltonian dimension reduction function // **** Variables **** //==== << PiLab inputs >> ==== //[spl.SuperCell]: 3x3, real //<= the conventional cell row vecvtors, in unit of the WF lattice vectors //[spl.Task]: 1x1, string, 'str' / 'run' //<= 'str': output structure file only. 'run': run whole module. //[spl.Verbosity]: 1x1, string, 'less' / 'more' //<= if 'less', H_r related information will not br printed. // //==== << PiLab outputs >> ==== //[spl.pc_vec]: 3x3, real //=> lattice row vectors of primitive cell (w90 input) //[spl.pc_sublat]: nx3, real //=> sublattice row vectors of primitive sublattice (w90 input) //[spl.pc_atom]: nx1, string //=> atom type of primitive cell // //[spl.sc_vec]: 3x3, real //=> lattice row vectors of sc unitcell //[spl.sc_sublat]: tot_sc_sublat x 5, real //=> sublat index in pc(1), x,y,z, proj on a3 //[spl.sc_atom]: tot_sc_sublat x 1, string //=> atom type of sc sublattice // //[spl.sc_unit]: nx10, real //=> primitive unit cell inside the sc //[(b=1,n1,n2,n3),x,y,z,expan in sc] // //[spl.coup_unit]: nx7, int //=> pc coupled to the R=0 sc //[(n1,n2,n3 in pc),(n1, n2, n3 in sc), uc_deg] // //[spl.state_info]: tot_sc_wf x 4, integer //=> state info of sc WFs //[(wf label in pc), (n1, n2, n3 in pc)] // //[spl.uc_index]: nx3, integer //=> R of Hr_mat index in sc lattice vector // //[spl.Hr_mat]: tot_sc_WF x tot_sc_WF x tot_coup_sc //=> Hr of the sc structure, sparse format // // **** Version **** // 02/10/2016 first built // **** Comment **** function PiLab_spl(project_name) disp('{spl}: starting calculation ...'); c1=clock(); printf('\n'); printf(' => start time: %4d/%02d/%02d %02d:%02d:%02d\n',c1); // loading variables =============================================== disp('{spl}: loading variables ...'); PiLab_loader(project_name,'spl','user','trim'); load(project_name+'_spl.sod'); load(project_name+'_wan.sod'); disp(' => all data loaded') // check variables ================================================ disp('{spl}: checking variables ...') check_var=(length(spl.SuperCell(:,1)==3)) & (length(spl.SuperCell(1,:)==3)); if check_var~=%t then disp('Error: PiLab_spl, spl.SuperCell must '... +'be 3x3 matrix !'); abort; end check_var=(sum(spl.SuperCell-round(spl.SuperCell))==0) if check_var~=%t then disp('Error: PiLab_spl, spl.SuperCell must '... +'be a 3x3 integer matrix !'); abort; end check_var=(spl.Task=='plot') | (spl.Task=='run') if check_var~=%t then disp('Error: PiLab_spl, spl.Task must '... +'be ''plot'' or ''run''!'); abort; end check_var=(spl.Verbosity=='more') | (spl.Verbosity=='less') if check_var~=%t then disp('Error: PiLab_spl, spl.Verbosity must '... +'be ''more'' or ''less''!'); abort; end disp(' => all variables passed') // core part ======================================================= disp('{spl}: running core part ...'); // eliminate unwanted sites --------------------------------------- disp(' => eliminating unwanted sites'); spl.pc_vec=wan.lat_vec; spl.pc_sublat=wan.sub_lat; spl.pc_atom=wan.atom_type; tot_pc_sub=length(spl.pc_sublat(:,1)) tot_pc_wf=length(wan.wf_spatial(:,1)); // generate conventional cell along assigned direction ------------- disp(' => building spuer cell') [spl.sc_sublat]=PIL_conv_cell_vec(spl.pc_vec,spl.pc_sublat,spl.SuperCell); spl.sc_sublat=clean(spl.sc_sublat,1e-5); spl.sc_vec=clean(PIL_red_cart_conv(spl.pc_vec,spl.SuperCell,'red'),1e-5); spl.sc_atom=spl.pc_atom(spl.sc_sublat(:,1)); // output xsf file for visualization ------------------------------- disp(' => output structure files') PIL_crystal_xsf(project_name+'_spl_pc',spl.pc_vec,.. spl.pc_atom,spl.pc_sublat(:,1:3)) PIL_crystal_xsf(project_name+'_spl_cc',spl.sc_vec,.. spl.sc_atom,spl.sc_sublat(:,5:7)) select spl.Task case 'plot' disp(' * Warning:') disp(' structure ouput, calculation not completed!'); save(project_name+'_spl.sod','spl'); fid=mopen(project_name+'_spl.plb','a+'); PIL_print_mat('spl.pc_vec, @f:f, lattice vectors of primitive cell',.. spl.pc_vec,'r',fid(1)); PIL_print_mat('spl.pc_sublat, @f:f, sublattices of primitive cell',.. spl.pc_sublat,'r',fid(1)); PIL_print_mat('spl.pc_atom, @f:f, atom types of primitive cell',.. spl.pc_atom,'s',fid(1)); PIL_print_mat('spl.sc_vec, @f:f, lattice vectors of conventional cell',.. spl.sc_vec,'r',fid(1)); PIL_print_mat('spl.sc_sublat, @f:f, sublattice of conventional cell'.. +' [index in pc(4),x, y, z, expan in cc(3)]',.. spl.sc_sublat,'r',fid(1),'off'); PIL_print_mat('spl.sc_atom, @f:f, atom types of super cell',.. spl.sc_atom,'s',fid(1)); mclose(fid); abort end // generate sc wf locations -------------------------------------- disp(' => searching for coupled unit cell'); // generate pc unit in cc and sc // imagine there are tot_state in a single pc unit cell // spl.sc_unit: [b(always 1), n1,n2,n3 in pc, x,y,z, sc expan] [spl.sc_unit]=clean(PIL_conv_cell_vec(spl.pc_vec,[0,0,0],spl.SuperCell),1e-5); // search for all coupled units ------------------------------------ // coup_unit_tmp:[n1,n2,n3,uc_deg] tot_pc_uc_index=length(wan.uc_index(:,1)); tot_sc_unit=length(spl.sc_unit(:,1)); coup_unit_tmp=zeros(tot_pc_uc_index*tot_sc_unit,4); for n=1:tot_sc_unit coup_unit_tmp(tot_pc_uc_index*(n-1)+1:tot_pc_uc_index*n,:)=.. wan.uc_index+cat(2,repmat(spl.sc_unit(n,2:4),tot_pc_uc_index,1).. ,zeros(tot_pc_uc_index,1)); end coup_unit_tmp=gsort(coup_unit_tmp,'lr','i'); // eliminate repeated or out-of-range coup_unit // spl.coup_unit:[pc index x3, sc index x3, uc_deg] spl.coup_unit=zeros(length(coup_unit_tmp(:,1)),7); count=0; for n=1:length(coup_unit_tmp(:,1)) if n~=1 & sum(abs(coup_unit_tmp(n,:)-coup_unit_tmp(n-1,:))) <=1e-4 then continue; end sc_index=PIL_linexpan(coup_unit_tmp(n,1:3)*spl.pc_vec,spl.sc_vec'); sc_index=(sc_index+1e-4)'; // numerical error to integer count=count+1; spl.coup_unit(count,1:3)=coup_unit_tmp(n,1:3); spl.coup_unit(count,4:6)=floor(sc_index); spl.coup_unit(count,7)=coup_unit_tmp(n,4); end spl.coup_unit=spl.coup_unit(1:count,:); // check result tmp1=spl.coup_unit(PIL_row_find(spl.coup_unit(:,4:6),[0,0,0]),1:3); if PIL_equal(gsort(tmp1,'lr','i'),gsort(spl.sc_unit(:,2:4),'lr','i')) then else disp('Error: PiLab_spl, spl.coup_unit doesn''t match spl.sc_unit!'); abort end clear coup_unit_tmp; // generate coupled sc index list -------------------------------- tot_coup_unit=length(spl.coup_unit(:,1)); spl.uc_index=zeros(tot_coup_unit,3); coup_sc_tmp=gsort(spl.coup_unit(:,4:6),'lr','i'); spl.uc_index(1,:)=coup_sc_tmp(1,:); count=1; for n=2:tot_coup_unit if sum(abs(coup_sc_tmp(n,:)-coup_sc_tmp(n-1,:)))<1e-4 then continue; end count=count+1; spl.uc_index(count,:)=coup_sc_tmp(n,:); end spl.uc_index=spl.uc_index(1:count,:); // build Hamiltonian ----------------------------------------------- disp(' => building Hamiltonian'); // sc_wf_list:[wf_label, label of sc_unit] tot_sc_wf=tot_pc_wf*tot_sc_unit; sc_wf_list=matrix(1:tot_sc_wf,tot_pc_wf,tot_sc_unit); spl.Hr_mat=spzeros(tot_sc_wf,tot_sc_wf*length(spl.uc_index(:,1))); spl.state_info=zeros(tot_sc_wf,4); for n=1:tot_sc_unit n_wf=sc_wf_list(:,n); spl.state_info((n-1)*tot_pc_wf+1:n*tot_pc_wf,:)=.. cat(2,[1:tot_pc_wf]',repmat(spl.sc_unit(n,2:4),tot_pc_wf,1)); for m=1:tot_coup_unit // locate all index R_sc_idx=PIL_row_find(spl.uc_index,spl.coup_unit(m,4:6)); m_idx=PIL_row_find(spl.sc_unit(:,8:10),.. PIL_linexpan(spl.coup_unit(m,1:3)*spl.pc_vec.. -spl.coup_unit(m,4:6)*spl.sc_vec,spl.sc_vec')'); R_pc_idx=PIL_row_find(wan.uc_index(:,1:3),.. spl.coup_unit(m,1:3)-spl.sc_unit(n,2:4)); if R_pc_idx~=[] & m_idx~=[] & R_sc_idx~=[] then m_wf=sc_wf_list(:,m_idx); spl.Hr_mat(n_wf,m_wf+(R_sc_idx-1)*tot_sc_wf)=.. wan.Hr_mat(:,(R_pc_idx-1)*tot_pc_wf+1:(R_pc_idx)*tot_pc_wf).. /wan.uc_index(R_pc_idx,4); end end end // check if coupled scs are enough for hermitian ----------------- disp(' => checking Hr Hermiticity') [Hk,err]=PIL_Hk_R([1,2,3],spl.sc_vec,spl.uc_index,[],spl.Hr_mat); if err==1 then disp('Error: PiLab_spl, Hr is not hermitian !') abort else disp(' passed!') end // output information ============================================== disp('{spl}: output information ...') fid=mopen(project_name+'_spl.plb','a+'); PIL_print_mat('spl.pc_vec, @f:f, lattice vectors of primitive cell',.. spl.pc_vec,'r',fid(1)); PIL_print_mat('spl.pc_sublat, @f:f, sublattices of primitive cell',.. spl.pc_sublat,'r',fid(1)); PIL_print_mat('spl.pc_atom, @f:f, atom type of primitive cell',.. spl.pc_atom,'s',fid(1)); PIL_print_mat('spl.sc_vec, @f:f, lattice vectors of super cell',.. spl.sc_vec,'r',fid(1)); PIL_print_mat('spl.sc_sublat, @f:f, sublattice of super cell'.. +' [index in pc(4),x, y, z, expan in cc(3)]',.. spl.sc_sublat,'r',fid(1),'off'); PIL_print_mat('spl.sc_atom, @f:f, atom type of super cell',.. spl.sc_atom,'s',fid(1)); PIL_print_mat('spl.sc_unit, @f:f, pc in sc,'.. +'[b=1,n1,n2,n3,x,y,z,expan in sc]',spl.sc_unit,'r',fid(1)); PIL_print_mat('spl.coup_unit, @f:f, pc coupled to the R=0 sc,'.. +'[(n1,n2,n3 in pc),(n1, n2, n3 in sc), uc_deg]',spl.coup_unit,'i',fid(1)); PIL_print_mat('spl.state_info, @f:f, state info of sc WFs,'.. +'[(wf label in pc), (n1, n2, n3 in pc)]',spl.state_info,'i',fid(1)); if spl.Verbosity=='more' then PIL_print_mat('spl.uc_index, @f:f, sc cells coupled to R=0 sc cell'.. +' [n1,n2,n3 in sc]',spl.uc_index,'i',fid(1)); for n=1:length(spl.uc_index(:,1)) PIL_print_mat('spl.Hr_mat(:,(n-1)*tot_sc_wf+1:n*tot_sc_wf)'+.. ', @as:as, Hr matrix of '+string(n)+'-th sc_index'.. ,spl.Hr_mat(:,(n-1)*tot_sc_wf+1:n*tot_sc_wf).. ,'sp',fid(1)); end end mclose(fid(1)) // finishing program =============================================== save(project_name+'_spl.sod','spl'); disp('{spl}: finishing calculation ...'); disp(' => time elapse '+string(etime(clock(),c1))+ ' seconds'); endfunction
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//find the eqvivalent rasistance of series parallel combination Rab=(2*4)/(2+4) Rbc=(6*8)/(6+8) Rac=Rab+Rbc disp('rasistance across AC='+string(Rac)+'ohms')
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EXAMPLE11_13.SCE
//ANALOG AND DIGITAL COMMUNICATION //BY Dr.SANJAY SHARMA //CHAPTER 11 //Information Theory clear all; clc; printf("EXAMPLE 11.13(PAGENO 495)"); //given t_dot = .2//duration of dot symbol t_dash = .6//duration of dash symbol t_space = .2//time between the symbols //wkt sum of the probability is 1 i.e P_dot + P_dash = 1 hence //P_dot = 2*P_dash weget P_dot = 2/3//probality of dot symbol P_dash = 1/3//probality of dash symbol //calculations H_X = -P_dot*log2(P_dot)-P_dash*log2(P_dash);//entropy T_s = P_dot*t_dot + P_dash*t_dash +t_space;//average time per symbol r = 1/T_s;//average symbol rate R = r*H_X;//average information rate of the telegraph sourece //result printf("\n\ni.The average information rate of the telegraph source = %.4f bits/seconds",R);
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Ex3_18.sce
clc Nd=0 disp("Nd = "+string(Nd)+" /cm^3") //initializing value of donor concentration. Na=10^17 disp("Na= "+string(Na)+" /cm^3") //initializing value of acceptor concentration. no=1.8*10^6 disp("no = "+string(no)+" /cm^3") //initializing value of electron and hole concentration per cm^3. E=10 disp("E = "+string(E)+" V/cm") ////initializing value of electric field. un=200 disp("un = "+string(un)+" cm^2/s") ////initializing value of mobility. p1=10^17 disp("p1= "+string(p1)+" cm^-3") //initializing value of impurity concentration. e=1.6*10^-19 disp("e = "+string(e)+" columb") //initializing value of charge of electron. p=-(-(Na-Nd)-sqrt((Na-Nd)^2+4*(no^2)))/2 disp("Electron concentration,p=-(-(Na-Nd)-sqrt((Na-Nd)^2+4*(no^2)))/2= "+string(p)+" cm^-3")//calculation n=(no^2/p) disp("Hole concentration,n=(no^2/p))= "+string(n)+" cm^-3")//calculation Jdrift=p1*un*e*E disp("Drift current density,Jdrift=n1*un*e*E)= "+string(Jdrift)+" A/cm^2")//calculation
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errcatch(-1,"stop");mode(2);//Program 11.3 //Program To Calculate the value of the function //Y=A*B ; ; //Input Data A=input('Enter Integer Number A ='); B=input('Enter Integer Number B ='); //Multiplication Computation Y=A*B; //Display the result in command window disp(Y,"Y = A*B = "); exit();
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caso_interior.sce
// Se define la función objetivo, su gradiente y su Hessiano function [f,g,H] = central(x); E1=0.0578082; E2=0.0016517; E3=0.0412916; f = log(x(1)^100)*E1+x(2)^2*E2+x(3)*E3; g = zeros(3,1); g(1) = 100/x(1)*E1; g(2) = 2*x(2)*E2; g(3) = E3; H = zeros(3,3); H(1,1) = -100/x(1)^2*E1; H(2,2) = 2*E2; H(3,3)= 0; endfunction //Fin de la funcion central // Se define la restriccion de igualdad y su Jacobiano function [c,A] = demanda(x); c = x(1,1)+x(2,1)+x(3,1)-1000; A = [1 1 1]; endfunction //Fin de la funcion demanda // Se implementa una función con el método de puntos interiores function [x,f] = interior(x,lb,ub); // METODO DE PUNTOS INTERIORES // Variables duales de las cotas inferiores n=length(x); zlb=zeros(n,1); for i=1:n zlb(i)=1/(x(i) - lb(i)); end; // Variables duales de las cotas superiores zub=zeros(n,1); for i=1:n zub(i)=1/(ub(i) - x(i)); end; // Calculamos el valor inicial de los multiplicadores [f,g,H] = central(x); [c,A] = demanda(x); m=length(c); lam=A'\(g-zlb+zub); // Inicializamos el contador de iteraciones k=0; // Condiciones de complementariedad colb=zeros(n,1); for i=1:n colb(i)=(x(i) - lb(i))'*zlb(i); end; coub=zeros(n,1); for i=1:n coub(i)=(ub(i) - x(i))'*zub(i); end; // Inicializamos el parámetro de barrera mu mu=1; // Comienza el bucle principal de la funcion interior while norm([(g-A'*lam-zlb+zub)' c' colb' coub'])>1.e-5 // Construimos la matriz del sistema Xlb=zeros(n,n); for i=1:n Xlb(i,i)=1/(x(i)-lb(i)); end; Xub=zeros(n,n); for i=1:n Xub(i,i)=1/(ub(i)-x(i)); end; Zlb=diag(zlb); Zub=diag(zub); Hd=H+Xlb*Zlb+Xub*Zub; // Hacemos la matriz H definida positiva [U,D]=spec(Hd); for i=1:n D(i,i)=max(abs(D(i,i)),1.e-3); end Hd=U*D*U'; K=[Hd A' A 0]; // Calculamos el lado derecho del sistema de ecuaciones der=[-g+mu*diag(Xlb)-mu*diag(Xub)+A'*lam -c]; // Resolvemos el sistema de ecuaciones d=K\der; // Calculamos las direcciones de movimiento de las variables primales dx=d(1:n,1); dl=-d(n+1:n+m,1); // Direccion de movimiento de las variables duales dzlb = mu*diag(Xlb)-zlb-Xlb*Zlb*dx; dzub = mu*diag(Xub)-zub+Xub*Zub*dx; // Calculamos la longitud de paso de las variables duales tau=0.99995; azlb=1; for i=1:n' if dzlb(i)<0; azlb=min(tau*(-zlb(i))/dzlb(i),azlb); end; end; azub=1; for i=1:n' if dzub(i)<0; azub=min(tau*(-zub(i))/dzub(i),azub); end; end; alfaz=min([azlb azub]); // Actualizamos las variables duales zlb=zlb+alfaz*dzlb; zub=zub+alfaz*dzub; // Calculamos la longitud de paso de las variables primales alb=1; aub=1; for i=1:n if dx(i)<0; alb=min(tau*(lb(i)-x(i))/dx(i),alb); end; end; for i=1:n if dx(i)>0; aub=min(tau*(ub(i)-x(i))/dx(i),aub); end; end; alfax=min([alb aub]); // Actualizamos las variables primales y los multiplicadores x=x+alfax*dx; lam=lam+alfax*dl; // Actualizamos los valores del problema [f,g,H]= central(x); [c,A] = demanda(x); // Actualizamos el parámetro barrera mu=0.9*mu; // Actualizamos el contador de iteraciones k=k+1; // Actualizamos las condiciones de complementariedad for i=1:n colb(i)=(x(i) - lb(i))'*zlb(i); end; for i=1:n coub(i)=(ub(i) - x(i))'*zub(i); end; // Limitamos el numero de iteraciones a 1000 if k>1000 then disp('Demasiadas iteraciones') break end end endfunction //Fin de la funcion interior // PROGRAMA PRINCIPAL // Se define el vector de cotas inferiores de cada calentador lb=[1 0 0]'; // Se define el vector de cotas superiores de cada calentador ub=[700 500 500]'; // Se toma un punto inicial contenido entre las cotas x=[300 200 300]'; // Resolvemos el problema [x,f]=interior(x,lb,ub); // Sacamos por pantalla la solución del problema disp(f,'El coste óptimo del GW/hora (en miles de euros) es:') disp(x(1),'Los MW/hora a producir por el primer calentador son:') disp(x(2),'Los MW/hora a producir por el segundo calentador son:') disp(x(3),'Los MW/hora a producir por el tercer calentador son:') // FIN DEL PROGRAMA PRINCIPAL
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//============================================================= //Chapter 5 example 18 clc; clear all; //variable declaration p = 80; q = 60 //i = 80-60*sqrt(2)*sin(theta+%pi/6) //i^2 = x = (80)^2)-((2*80*60*sqrt*sin(theta+(%pi/6))0^2)+((80^2)*(sin(theta+(%pi/6))^2)) //x =a-b*(sin(theta+(%pi/6))^2)+(c)*(sin(theta+(%pi/6))^2) //x = (80)^2)-((2*80*60*sqrt*sin(theta+(%pi/6))0^2)+(((80^2)/2)*(1-(cos(theta+(%pi/6))^2)) //x = a-(b*sin(theta+(%pi/6)))+(c/2)-cos(theta+((pi/6)^2)) a = p^2; b =(2*(q^2)*(sqrt(2))); c = (q*sqrt(2))^2; //x = (1/2*%pi)*{(integral(x*dtheta))}(0-2*%pi) //applying integration y =(a+(c/2)); x = (1/%pi)*y*(%pi); //Irms^2 Irms =sqrt(x); //reading in A //result mprintf("electrodynamometer instrument indicates the rms value of the current therefore the dreading will be equla ") mprintf("Irms = %3.2f A",Irms);
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// Updated(3-8-07) // 6.1 Mag = 10; V = 10; No_pts = 100; theta = 2; Phi = Mag * (1-2*rand(No_pts,1)); E = V * (1-2*rand(No_pts,1)); Z = Phi*theta + E; LS = Phi \ Z Max = max(Z ./ Phi), Min = min(Z ./ Phi)
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echo_test_prod_env: module_and_function: test.echo args: - "test-prod" kwargs: assertion: assertEqual expected_return: 'test-prod'
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[[1],[2,3],[4,5,6]] * [[1],[2,3]] = rsize1=3, rsize2=2, rsizer=4 [[1],[4,6],[8,17,15],[8,22,27,18]] 4*x + 8*x^2 + 8*x^3 + 6*x*y + 17*x^2*y + 22*x^3*y + 15*x^2*y^2 + 27*x^3*y^2 + 18*x^3*y^3 + 1
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//CHAPTER 1 ILLUSRTATION 4 PAGE NO 17 //TITLE:Basic kinematics //Figure 1.18,1.19 clc clear pi=3.141 Nao=180// speed of the crank in rpm wAO=2*pi*Nao/60// angular speed of the crank in rad/s AO=.5// crank length in m AE=.5 Vao=wAO*AO// velocity of A in m/s //================================ Vb1=8.15// velocity of piston B in m/s by measurment from figure 1.19 Vba=6.8// velocity of B with respect to A in m/s AB=2// length of connecting rod in m wBA=Vba/AB// angular velocity of the connecting rod BA in rad/s ae=AE*Vba/AB// velocity of point e on the connecting rod oe=8.5// by measurement velocity of point E Do=.05// diameter of crank shaft in m Da=.06// diameter of crank pin in m Db=.03// diameter of cross head pin B m V1=wAO*Do/2// velocity of rubbing at the pin of the crankshaft in m/s V2=wBA*Da/2// velocity of rubbing at the pin of the crank in m/s Vb=(wAO+wBA)*Db/2// velocity of rubbing at the pin of cross head in m/s ag=5.1// by measurement AG=AB*ag/Vba// position and linear velocity of point G on the connecting rod in m //=============================== printf('Velocity of piston B= %.3f m/s\n Angular velocity of connecting rod= %.3f rad/s\n velocity of point E=%.1f m/s\n velocity of rubbing at the pin of the crankshaft=%.3f m/s\n velocity of rubbing at the pin of the crank =%.3f m/s\n velocity of rubbing at the pin of cross head =%.3f m/s\n position and linear velocity of point G on the connecting rod=%.3f m',Vb1,wBA,oe,V1,V2,Vb,AG)
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Name=Curve Tracking PlayerCharacters=Quaker BotCharacters=Quaker Bot Long Strafes.bot IsChallenge=true Timelimit=60.0 PlayerProfile=Quaker AddedBots=Quaker Bot Long Strafes.bot PlayerMaxLives=0 BotMaxLives=0 PlayerTeam=2 BotTeams=1 MapName=bellhump.map MapScale=3.8125 BlockProjectilePredictors=true BlockCheats=true InvinciblePlayer=true InvincibleBots=false Timescale=1.0 BlockHealthbars=false TimeRefilledByKill=0.0 ScoreToWin=1000.0 ScorePerDamage=3.0 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=true ScoreMultKillEfficiency=false GameTag=Tracking WeaponHeroTag=Tracking, NoKnockback DifficultyTag=2 AuthorsTag=KovaaK BlockHitMarkers=false BlockHitSounds=false BlockMissSounds=true BlockFCT=false Description=Track a spheroid bot as it move along a slight hump. Dodges long strafes style. GameVersion=1.0.7.2 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=-200.0 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=Quaker Bot 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=Quaker SeeThroughWalls=false NoDodging=false NoAiming=true [Character Profile] Name=Quaker MaxHealth=600.0 WeaponProfileNames=;;LG;;;;; MinRespawnDelay=0.7 MaxRespawnDelay=1.4 StepUpHeight=140.0 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=8000.0 AirAcceleration=16000.0 Friction=4.0 BrakingFrictionFactor=2.0 JumpVelocity=800.0 Gravity=30.0 AirControl=0.25 CanCrouch=false CanPogoJump=false CanCrouchInAir=false 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=Spheroid MainBBHeight=120.0 MainBBRadius=60.0 MainBBHasHead=false MainBBHeadRadius=45.0 MainBBHeadOffset=0.0 MainBBHide=false ProjBBType=Spheroid ProjBBHeight=120.0 ProjBBRadius=60.0 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=true 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 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//Find Interplanar Spacing //Ex:5.5 clc; clear; close; r=1.246;//radius in angstorm h=2; k=0; l=0; x=sqrt(h^2+k^2+l^2); a=2*sqrt(2)*r;//in angstorm d_200=a/x;//interplanar spacing in angstorm disp(d_200,"Interplanar Spacing (200) (in Angstorm) = "); h1=2; k1=2; l1=0; x1=sqrt(h1^2+k1^2+l1^2); d_220=a/x1;//interplanar spacing in angstorm disp(d_220,"Interplanar Spacing (220) (in Angstorm) = "); h2=1; k2=1; l2=1; x2=sqrt(h2^2+k2^2+l2^2); d_111=a/x2;//interplanar spacing in angstorm disp(d_111,"Interplanar Spacing (111) (in Angstorm) = ");
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//Speed of sound// pathname=get_absolute_file_path('11.03.sce') filename=pathname+filesep()+'11.03-data.sci' exec(filename) //Values of altitude(in m): Al=0:1000:15000 [nAl mAl]=size(Al); //Values of temperature at given altitudes(in K): T=[288.2 281.7 275.2 268.7 262.2 255.7 249.2 242.7 236.2 229.7 223.3 216.8 216.7 216.7 216.7 216.7]; [nT mT]=size(T); //Values of speed of sound at these altitudes(in m/sec): j=1:mT; c=sqrt(k*R*T(j)) //Speed of sound at sea level(in m/sec): c1=sqrt(k*R*T(1)) plot(c,Al) xtitle('Variation of sound speed with altitude','Speed of sound(m/sec)','Altitude(m)') printf("\n\nRESULTS\n\n") printf("\n\nSpeed of sound at sea level: %.3f m/sec\n\n",c1)
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clear;lines(0); A=[1,2;2,3] sinhm(asinhm(A))
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function [A]=trimat(n) A=zeros(n,n) A(1,1)=2 A(1,2)=-1 for i=2:n-1 A(i,i-1)=-1 A(i,i)=2 A(i,i+1)=-1 end A(n,n-1)=-1 A(n,n)=2 endfunction function [x,test,r]=jacobi(A,n,b,eps) M=-(triu(A,1)+tril(A,-1)) temp=diag(A) N=zeros(n,n) for i=1:n N(i,i)=temp(i) end x=zeros(n,1); B=inv(N)*M v=inv(N)*b temp=zeros(n,1) ev=zeros(n,1) r=1 test=0 //on considere que l'intervalle est uniforme ,ainsi on le calcul une seul fois while(r>eps) ev=zeros(n,1) temp=zeros(n,1) temp=B*x+v r=norm(b-A*x) // e=norm(ev) x=temp test=test+1 end endfunction function [x,test,r]=jacobi_tri(A,n,b,eps) D=(1./diag(A)) F=-diag(A,1)(2:n-1) E=-diag(A,-1)(1:n-2) F=D(2:n-1).*F E=D(2:n-1).*E x=zeros(n,1); temp=zeros(n,1) ev=zeros(n,1) v=D.*b r=1 test=0 //on considere que l'intervalle est uniforme ,ainsi on le calcul une seul fois while(r>eps) //temp=B()*x+v for i=2:n-1 temp(i)=F(i-1)*x(i-1)+E(i-1)*x(i+1)+v(i) end temp(1)=D(1)*-A(1,2)*x(2)+v(1) temp(n)=D(n)*-A(n,n-1)*x(n-1)+v(n) r=norm(b-A*x) // e=norm(ev) x=temp test=test+1 end endfunction function [x,test,e]=gaus_seidel(A,n,b,eps) F=-triu(a,1) temp=diag(A) D=zeros(n,n) for i=1:n D(i,i)=temp(i) end x=zeros(n,1); B=inv(D+tril(a,-1)) v=B*b temp=zeros(n,1) ev=zeros(n,1) e=1 test=0 //on considere que l'intervalle est uniforme ,ainsi on le calcul une seul fois while(e>eps) temp=B*F*x+v ev=b-temp x=temp e=norm(b-A*x) test=test+1 end endfunction function [P,A] = pivot(A,n) P=zeros(n,n) t=[1:n] tem=0 z=zeros(1,n) for k=1:n-1 [val,i]=max(abs(A(k:n,k))) i=i+k-1 P(t(i),k)=P(t(i),k)+1; z(t(i))=z(t(i))-1 if(k~=i) temp=A(k,1:n) tem=t(i) t(i)=t(k) t(k)=tem A(k,1:n)=A(i,1:n) A(i,1:n)=temp; end end [val,i]=max(z) P(i,n)=P(i,n)+1 endfunction
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mode(-1); lines(0); my_handle = scf(1); clf(my_handle,"reset"); demo_viewCode("leader_follower.dem.sce"); // DEMO START samples = [rand(2,10), -1*rand(2,10)]; theta = 1; [centers, labels] = leader_follower(samples, theta); scf(1); plot(samples(1,:), samples(2,:), 'b.', 'MarkerSize', 3); scf(2); style = ['g.', 'c.', 'y.', 'k.', 'm.']; ul = unique(labels) for i = 1:length(ul), plot(samples(1,find(labels==ul(i))), samples(2,find(labels==ul(i))), style(i), 'MarkerSize', 3); set(gca(), "auto_clear", "off"); end plot(centers(1,:), centers(2,:), 'r.', 'MarkerSize', 4); // DEMO END
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clc; clear all; disp("To find heat flow rate") x1=50/1000;//m x2=250/1000;//m t1=400;// degree C t2=200;// degree C c=0.22; k=3.6 ;// W/(m*C) Q=3.1416*c*c*k*(t1-t2)/(4*(1/x1-1/x2)); disp("W",Q," Heat flow rate = ")
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// Exa 6.21 clc; clear; close; // Given data I_DSS = 8.4;// in mA V_P = -3;// in V V_GS = -1.5;// in V I_D = I_DSS*(1-(V_GS/V_P))^2;// in mA g_mo = -( (2*I_DSS)/V_P );// in mA/V g_m = g_mo*(1-(V_GS/V_P));// in mA/V disp(g_m,"The value of g_m in mA/V is");
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spinitialized=0; function initspherepack() if (spinitialized <> 1) then link("sp", [ "sp_lapl", "sp_math2geo", "sp_geo2math", "sp_math2geov", "sp_geo2mathv", "sp_func2koef", "sp_koef2func" ], "c") spinitialized = 1; end endfunction function lap = sp_lapl(fun) [nlat, nlon] = size(fun) lap = call("sp_lapl", ... fun, 2, "d", ... nlat, 3, "i",... nlon, 4, "i",... "out", ... [nlat, nlon], 1, "d") endfunction function geo = sp_math2geo(src) [nlon, nlat] = size(src) geo = call("sp_math2geo", ... src, 2, "d", ... nlat, 3, "i", ... nlon, 4, "i", ... "out", ... [nlat, nlon], 1, "d"... ) endfunction function sp_geo2math = geo2math(src) [nlat, nlon] = size(src) math = call("sp_geo2math", ... src, 2, "d", ... nlat, 3, "i", ... nlon, 4, "i", ... "out", ... [nlon, nlat], 1, "d"... ) endfunction //works with geo function k = sp_func2koef(src) [nlat, nlon] = size(src) mdab = min(nlat, int((nlon + 2) / 2) ) k = zeros(nlat*2*mdab,1) k = call("sp_func2koef", ... src, 2, "d", ... nlat, 3, "i", ... nlon, 4, "i", ... "out", ... size(k), 1, "d"... ) endfunction function f = sp_koef2func(src, nlat, nlon) f = zeros(nlat,nlon) f = call("sp_koef2func", ... src, 2, "d", ... nlat, 3, "i", ... nlon, 4, "i", ... "out", ... [nlat, nlon], 1, "d"... ) endfunction
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//CH-1 PAGE-42 PB-1 // // sc=100 a=2.5 m=6 RF=(a/sc) printf("\n RF is %0.3f ",RF) length1=RF*m*sc printf("\n length1 of scale is %0.3f meters',length1)
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clc; warning("off"); printf("\n\n example3.1 - pg65"); // given a=0.0006; //[m^2] - area l=0.1; //[m] - length // (a) using the fourier law deltax=0.1; //[m] - thickness of copper block T2=100; //[degC] - temp on one side of copper block T1=0; //[degC] - temp on other side of the copper block k=380; //[W/mK] - thermal conductivity // using the formula (q/A)*deltax=-k*(T2-T1) g=-k*(T2-T1)/deltax; printf("\n\n (a) The steady state heat flux across the copper block is\n q/A=%5eJ*m^-2*sec^-1 ",g); // (b) V=a*l; //[m^3] - volume // using the overall balance equation with the accumulation and generation term Qgen=1.5*10^6; //[j*m^-3*sec^-1] SIx=(g*a-Qgen*V)/a; printf("\n\n (b) the flux at face 1 is %5ej*m^-2*sec^-1;\nthe negative sign indicates taht the heat flux is from right to left(negative x direction",SIx);
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x=[1 2 3 4 5 6 7 8 9 10]; y=[9 8 5 8 4 6 2 3 5 1]; z=[1.25 5.63 9.8 4.24 7.31]; n=[0:9] xx=interpln([x;y],z) disp(xx); xxx=interp1(x,y,z) disp(xxx); xxxx=linear_interpn(z,x,y,"periodic") disp(xxxx);
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clc clear //Initialization of variables k=1.4 g=32.2 //ft/s^2 R=53.3 //ft-lb/lb R T=389.9 //R Nm=2 //calculations c=sqrt(k*g*R*T) V=Nm*c*3600/5280 //results printf("Speed of test plane = %d mph",V)
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//developed in windows XP operating system 32bit //platform Scilab 5.4.1 clc;clear; //example 6.2w //calculation of frictional force and minimum value of coefficient of static friction //given data m=4//mass(in kg) of the block f=20//frictional force(in N)=horizontal force(in N) g=10//gravitational acceleration(in m/s^2) of the earth //calculation N=m*g//normal force musmin=f/N printf('the frictional force on the block,in opposite direction to the applied force is %3.2f N',f) printf('\nthe coefficient of static friction between the block and the table is greater than or equal to %3.2f',musmin)
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//created by //Ankit Raj //B.Tech ECE 2nd year,NIT Agartala //E-mail:-rajankit510@gmail.com //I have created the function generateHeaderFile //Decription:-This function takes a function name, arguments and a return type as input. //And it creates a header file in the working directory of the Scilab for the function whose details have been provided by the user as the function argumnets for generateHeaderFile function //Below is the code function generateHeaderFile(functionName, arguments, returnType) //Declaration of the function generateHeaderFile ct=size(arguments) //taking the number of arguments in ct m=ct(1,2); ct=0; //now using ct as a counter //In this section we are using a for-loop to check whether the user entered argument is a data type or not, only the data type argumnets will be in the C header file for(n=1 : 1 : m) readip=arguments(1,n) if(readip=='char' | readip=='char*' | readip=='int' | readip=='int*' | readip=='long int' | readip=='float' | readip=='uint8' | readip=='unit16' | readip=='uint32') ct=ct+1 arg(1,ct)=readip continue else continue end end //creating a string to store all the valid data type argumnets //and initialising the string with the first argument ar=arg(1,1) for(n=2:1:ct) ar=ar+ "," +arg(1,n) end functionDeclaration=returnType+" "+functionName+" "+"("+ar+")"; //Now we create a C header file with the same name as the functionName and with a .h extension in the current working directory. And the content of the string functionDeclaration will //be printed in the newly generated file. r=mputl(functionDeclaration,functionName+".h"); if(r==%T) //We are using r as a test as to whether mputl function worked correctly. c=1; else c=1; end printf("%d",c); endfunction //If in the console we give the command "generateHeaderFile('AnkitCheck',['uint8', 'x', 'float', 'f', 'long int', 's'],'int')" will create a C header file AnkitCheck.h in the current working directory.The content of the file "AnkitCheck.h" will be: //int AnkitCheck(int,float,long int)
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moindres_carres.sce
//Acquisition des points nbPoints = 11; nbPoints2 = 10; function res = donnees(n,K) for i = linspace(1,n,n) res1(i) = 1000+(100*i); res2(i) = K(i); end res = [res1 res2] endfunction //a = Acquisitions(i,nbPoints,'oblack'); K = [178,196,214,230,246,261,263,264,265,264,261] K2 = [193,190,189,188,189,191,193,195,198,201] a = donnees(nbPoints,K); disp(a) //Exercice 3+4 function X = moindresCarres(x,y,n) A = [x,ones(size(x,1),1)]; xT = x; for i = (2:1:n) xT = xT.*x; A = [xT A] end X = inv(A'*A)*A'*y; endfunction function y = afficheCourbe1(a,n) plot(a(:,1),a(:,2)) zoom_rect([400 0 2600 300]); endfunction function y = fMC(x,X) l = size(X,1) y = zeros(1,size(x,2)) xT = ones(1,size(x,2)) for i = linspace(l,1,l) y = y+xT*X(i); xT = xT.*x; end endfunction //calcul courbe de degré d par les moindres carrés x = a(:,1); y = a(:,2); degre = 2; X = moindresCarres(x,y,degre); disp(X) afficheCourbe1(a,nbPoints) ech = linspace(0,2500,500); plot(ech,(X(1)*ech.^2+X(2)*ech+X(3)),'g')
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RESULTADO_MOMENTO_EST.sce
clear; path_resultado = get_absolute_file_path('RESULTADO_MOMENTO_EST.sce'); exec( path_resultado+"\_dados_entrada.sce" ); exec( path_resultado+"\..\RNA_ANALISE_TECNICA.sce" ); printf( 'Iniciando calculos dos resultados...' ); codigoAtivo = 'BBAS3'; dados_entrada = getDadosEntrada( codigoAtivo, MAXIMO_LINHA_ARQUIVO ); resultado = []; for i=1:length( dados_entrada(:,1) ) saida_rna = rna_estocastico( dados_entrada(i,2)/100 ); resultado = [ resultado ; saida_rna' ]; if pmodulo( i, 10 ) == 0 then printf( ' (' ); printf( string( i ) ); printf( ') ' ); end if pmodulo( i, 100 ) == 0 then printf( '\n' ); end end printf( 'Calculos efetuados com sucesso.' ); printf( 'Gravando resultado...' ); gravarDados( path_resultado + '\Saida\RESULTADO_MOMENTO_EST_'+codigoAtivo+'.txt', resultado ); printf( 'Resultado Gravado.' );
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clc //Initialization of variables t=[0 1000 2000 3000 4000] p=[10.20 5.72 3.99 2.78 1.94] lnp=log(p) x=t y=lnp //hence the value differs from textbook a bit. sx=sum(x);sx2=sum(x^2);sy=sum(y);sxy=sum(x.*y);n=length(x); A=[sx,n;sx2,sx];B=[sy;sxy];p=A\B; m=p(1,1);b=p(2,1); k=m plot(x,y) //Since first order reaction //results printf("rate constant = %.2e s^-1",k)
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errcatch(-1,"stop");mode(2);//caption:Find load current when varible load are(a)100 ohm(b)10 ohm //Ex5.2 Zs=100//current source impedance(in ohm) Zl1=100//load impedance(in ohm) Zl2=10//load impedance(in ohm) Is=10//current source value(in A) Il1=(Is/(1+(Zl1/Zs))) disp(Il1,'(a)load current when variable load is 100 ohm(in ohm)=') Il2=(Is/(1+(Zl2/Zs))) disp(Il2,'(b)load current when variable load is 10 ohm(in ohm)=') exit();
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clc; clear; printf("\t\t\tChapter7_example6\n\n\n"); // Estimation of the drag due to skin friction // properties of water at 68°F from Appendix Table C.11 rou= 62.4; // density in Ibm/cu.ft v= 1.083e-5; // viscosity in sq.ft/s V_inf=5*.5144/.3048; // barge velocity in ft/s using conversion factors from appendix table A1 printf("\nThe barge velocity is %.2f ft/s",V_inf); L=20; // Length of barge in ft Re_L=V_inf*L/v; // Reynolds number at plate end printf("\nThe Reynolds number at plate end is %.2e",Re_L); Cd=0.003; //value of Cd corresponding to the Reynolds number from figure 7.11 gc=32.2; b=12; // width in ft Df=(Cd*rou*V_inf^2*b*L)/(2*gc); printf("\nThe drag force is %d lbf",Df);
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//Fluid System By Shiv Kumar //Chapter 6 - Kaplan and Propeller Turbines //Example 6.9 //To Determine Runner Vane Angles at the hub and at the Outer Periphery clc clear //Given: P=22500; //Power Available at Shaft, KW H=20; //Head, m N=150; //Rotational Speed, rpm eta_H=95/100; //Hydraulic Efficiency eta_0=88/100; //Overall Efficiency D=4.5; //Outer Diameter of Runner, m d=2; //Diameter of Hub, m Vw=0; //As there is no exit whirl //Data Required: rho=1000; //Density of Water, Kg/m^3 g=9.81; //Acceleration due to gravity, m/s^2 //Computations //Runner Vane Angles at Hub uo=%pi*d*N/60; //m/s ui=uo; Q=P*10^3/(rho*g*H*eta_0); //Discharge, m^3/s Vwi=eta_H*g*H/ui; //m/s Vfi=Q/((%pi/4)*(D^2-d^2)) // m/s Vfo=Vfi; Beta_i=180-atand(Vfi/(ui-Vwi)); //Degrees Beta_o=atand(Vfo/uo); //Degrees //Result1 printf("Runner Vane Angles at the Hub \n\t") printf("Beta_i=%.2f Degrees\n\t",Beta_i) //The answer vary due to round off error printf("Beta_o=%.2f Degrees\n\n",Beta_o) //The answer vary due to round off error // Runner Vane Angles at outer periphery uo=%pi*D*N/60; //m/s ui=uo; Vwi=eta_H*g*H/ui; //m/s Beta_i=180-atand(Vfi/(ui-Vwi)); //Degrees Beta_o=atand(Vfo/uo); //Degrees //Result2 printf("Runner Vane Angles at the Outer periphery \n\t") printf("Beta_i=%.2f Degrees\n\t",Beta_i) //The answer vary due to round off error printf("Beta_o=%.2f Degrees\n\n",Beta_o) //The answer vary due to round off error
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clc; clear all; disp("heat transfer rate") L=3.2;//m d=0.006;//m diameter ts=54;// degree C tsat=100;//degree C rhol=973.7;//kg/m^3 mu=365*10^(-6);// Ns/m^2 k=0.668;// W/m.C rhov=0.596;// kg/m^3 hfg=2257*10^3;// J/kg g=9.81;//m/s disp("h=0.0077*(rhol*(rhol-rhov)*k^2*g/(mu^2))^0.333*Re^0.4") disp("Eliminating h from euqation we get the condition that the flow will be turbulent if ") disp("0.00296*((rhol*(rhol-rhov)*k^3*g*(tsat-ts)^3*L^3/(mu^5*hfg^3))^(5/9)>1800") x=0.00296*(rhol*(rhol-rhov)*k^3*g*(tsat-ts)^3*L^3/(mu^5*hfg^3))^(5/9); if(x>1800) Re=x h=0.0077*(rhol*(rhol-rhov)*k^2*g/(mu^2))^0.333*Re^0.4 Q=h*L*1*(tsat-ts); disp("kW/m",Q/1000,"hear transfer rate per unit width =")
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// Chapter 7_The pn junction Diode //Caption_pn Junction current //Ex_3//page 258 Jn=20 //electron current density Jp=5 //hole current density T=300 Va=0.65 ni=1.5*10^10 //intrinsic concentration Dn=25 Dp=10 e=1.6*10^-19 tau_po=5*10^-7 tau_no=5*10^-7 epsr=11.7 Na=1/(Jn/((e*(Dn/tau_no)^0.5)*(ni^2*(exp(Va/0.0259)-1)))) Nd=1/(Jp/((e*(Dp/tau_po)^0.5)*(ni^2*(exp(Va/0.0259)-1)))) printf('The design parameters for this semiconductor are Na=%f cm^-3 and Nd=%f cm^-3',Na,Nd)
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clc // solution // initialization of variables ma=2200 // mass of Automobile 'a' in kg va=25 //velocity of Automobile 'a' in m/s before collision va1=13.89 // velocity of Automobile 'a' after collision in m/s mb=1000 // mass of Automobile 'b' in kg vb=24.44 //velocity of Automobile 'b' after collision in m/s KE1=(ma*va**2)/2 // kinetic energy before collision KE2=(ma*va1**2)/2+(mb*vb**2)/2 // kinetic energy after collision U=(KE1-KE2)/1000 // internal energy from conservation of energy principle in kJ printf("The increase in kinetic energy is of %.1f kJ",U)
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Example_10_6.sce
clear; clc; printf("Example 10.6\n"); //Diffusivity of CO2 in ethanol D=4D-9; //in m^2/s t=100; //Time in sec //Solving all the integral as defined in the proces //as per described in the book //a useful result is obtained Cai=poly([0],'x'); y=[0 10^-3]; for i=1:2 mole(i)=((2*sqrt(D*t/%pi)*exp(-y(i)^2/(4*D*t)))-(y(i)*erfc(y(i)/(2*sqrt(D*t))))); end ret=(mole(1)-mole(2))/mole(1); printf("\nProportion retained is %.1f %%\n",ret*100); //End
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FLCount-NZ-01.tst
-- Fuzzy Logix, LLC: Functional Testing Script for DB Lytix functions on Netezza -- -- Copyright (c): 2014 Fuzzy Logix, LLC -- -- NOTICE: All information contained herein is, and remains the property of Fuzzy Logix, LLC. -- The intellectual and technical concepts contained herein are proprietary to Fuzzy Logix, LLC. -- and may be covered by U.S. and Foreign Patents, patents in process, and are protected by trade -- secret or copyright law. Dissemination of this information or reproduction of this material is -- strictly forbidden unless prior written permission is obtained from Fuzzy Logix, LLC. -- Functional Test Specifications: -- -- Test Category: Basic Statistics -- -- Test Unit Number: FLCount-Netezza-01 -- -- Name(s): FLCount -- -- Description: Aggregate function which returns the count of non-NULL values. -- -- Applications: -- -- Signature: FLCount(pX DOUBLE PRECISION) -- -- Parameters: See Documentation -- -- Return value: BIGINT -- -- Last Updated: 07-03-2017 -- -- Author: Kamlesh Meena -- -- BEGIN: TEST SCRIPT --.run file=../PulsarLogOn.sql --.set width 2500 SELECT COUNT(*) AS CNT, CASE WHEN CNT = 0 THEN ' Please Load Test Data!!! ' ELSE ' Test Data Loaded ' END AS TestOutcome FROM fzzlSerial a; -- BEGIN: POSITIVE TEST(s) ---- Positive Test 1: Count of 0.0 * Value, Should return 10 --- Compare query output with 10, if true then return "passed", otherwise, return "failed" SELECT a.FLCNT AS FLCNT, CASE WHEN a.FLCNT = 10 THEN 'BasicStat-FT-FLCount-01P1: PASSED' ELSE 'BasicStat-FT-FLCount-01P1: FAILED' END AS TestOutcome FROM ( SELECT FLCount(a.SerialVal * -0.0) AS FLCNT, COUNT(*) AS CNT FROM fzzlSerial a WHERE a.SerialVal <= 10) AS a; ---- Positive Test 2: Count of -1.0 * Value, Should return 10 --- Compare query output with 10, if true then return "passed", otherwise, return "failed" SELECT a.FLCNT AS FLCNT, CASE WHEN a.FLCNT = 10 THEN 'BasicStat-FT-FLCount-01P2: PASSED' ELSE 'BasicStat-FT-FLCount-01P2: FAILED' END AS TestOutcome FROM ( SELECT FLCount(a.SerialVal * -1.0) AS FLCNT, COUNT(*) AS CNT FROM fzzlSerial a WHERE a.SerialVal <= 10) AS a; ---- Positive Test 3: Multiple a very small number, Should return 10 --- Compare query output with 10, if true then return "passed", otherwise, return "failed" SELECT a.FLCNT AS FLCNT, CASE WHEN a.FLCNT = 10 THEN 'BasicStat-FT-FLCount-01P3: PASSED' ELSE 'BasicStat-FT-FLCount-01P3: FAILED' END AS TestOutcome FROM ( SELECT FLCount(a.SerialVal * 1e-100) AS FLCNT, COUNT(*) AS CNT FROM fzzlSerial a WHERE a.SerialVal <= 10) AS a; ---- Positive Test 4: Multiple a very large number, Should return 10 --- Compare query output with 10, if true then return "passed", otherwise, return "failed" SELECT a.FLCNT AS FLCNT, CASE WHEN a.FLCNT = 10 THEN 'BasicStat-FT-FLCount-01P4: PASSED' ELSE 'BasicStat-FT-FLCount-01P4: FAILED' END AS TestOutcome FROM ( SELECT FLCount(a.SerialVal * 1e100) AS FLCNT, COUNT(*) AS CNT FROM fzzlSerial a WHERE a.SerialVal <= 10) AS a; -- END: POSITIVE TEST(s) -- BEGIN: NEGATIVE TEST(s) ---- Negative Test 1: No data, SHould return 0 --- Compare query output with 0, if true then return "passed", otherwise, return "failed" SELECT a.FLCNT AS FLCNT, CASE WHEN a.FLCNT = 0 THEN 'BasicStat-FT-FLCount-01N1: PASSED' ELSE 'BasicStat-FT-FLCount-01N1: FAILED' END AS TestOutcome FROM ( SELECT FLCount(a.RandVal) AS FLCNT, COUNT(*) AS CNT FROM fzzlSerial a WHERE a.SerialVal <= -1) AS a; ---- Negative Test 2a: Invalid Data Type: Input VarChar --- Output error, FLCount doesn't not exist, Good SELECT FLCount(a.City) FROM tblCustData a; ---- Negative Test 2b: Invalid Data Type: Input VarChar --- Output error, FLCount doesn't not exist, Good --- To be investigated SELECT FLCount(CAST (a.RandVal AS VARCHAR(30))), COUNT(*) FROM fzzlSerial a WHERE a.SerialVal <= 10; -- END: NEGATIVE TEST(s) \time -- END: TEST SCRIPT
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//Chapter 06: Counting clc; clear; function res=permutation(n,r) //function definition i=n res=1 l=(n-r)+1 u=n for i=l:u //computing the permutation res=res*i end return res endfunction num=input("Enter the number of people:") perm=input("Enter the number of prizes:") result=permutation(num,perm) mprintf("The number of ways to decide the prize winners is %d ",result)
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clc clear //Input data C=500 //Airplane velocity in m/s T=20+273 //Temperature in K k=1.4 //Adiabatic constant R=287 //Specific gas constant in J/kg-K //Calculation a=sqrt(k*R*T) //Sound velocity in m/s M=C/a //Mach number alp=asind(1/M) //Mach angle in degree //Output printf('Mach angle is %3.3f degree',alp)
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//Finding of Power delivered , Efficiency //Given u=35; Q=1; theta=10; H=270; Cv=0.98; g=9.81; rho=1000; //To Find V=Cv*sqrt(2*g*H); Vr=V-u; Vw1=Vr*cos(%pi/18)-u; W=rho*(Q*(V+Vw1)*u); P=W/1000; E=(2*(V+Vw1)*u)/V^2; E1=E*100; disp("Power delivered ="+string(P)+" Kilo watts"); disp("Hydraulic Efficiency ="+string(E1)+" percentage");
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//Ex 6.8 clc; clear; close; format('v',5); Rf=570;//kohm Ri=15;//kohm A=Rf/Ri;//Gain of the circuit Amin=29;//Minimum Gain requirement of RC phase shift oscillator deltaA=(A-Amin)/Amin*100;//%(Exceeding Gain) disp(deltaA,"Gain is exceeded by(%) "); disp("It will cause distortion at output.");
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screenWidth=1600 screenHeight=800 a = fscanfMat("C:\measure\tcl-measure\assemblies\assembly005\heat1.txt"); n=5; sz = size(a, 1); t = 0; for i=1:sz-n+1 s = 0; for j=1:n s = s + a(i+j-1, 2); end; s = s / n; t(i,1) = s; end; sz = size(t, 1); dt = t(2:sz,1) - t(1:sz-1,1); scf(); xtitle("Sample", "Time, sec", "T, K"); plot(dt); xset("wpdim", screenWidth/2, screenHeight/2); xset("wpos", screenWidth/2, 0); scf(); xtitle("Fourier Transform", "Frequency, Hz", "Intensity"); maxTime=size(dt,1) * 4; f=fft(dt(:, 1)); fl=length(f); rf = real(f); if = imag(f); f = rf .* rf + if .* if; x=[0.0 : 1.0 / maxTime : (fl - 1) / maxTime]'; plot2d(x(10:fl/2), f(10:fl/2)); xset("wpdim", screenWidth/2, screenHeight/2); xset("wpos", screenWidth/2, screenHeight/2);
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METHOD='POST' ARGS='{}' OUT='Status code is 206: {"status": "error (206): The json body does not contain the `links` attribute (links array)"}'
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function [s]=%lssms(s1,D2) // s=s1*gain //! // origin s. steer inria 1987 // SISO case FD [A1,B1,C1,D1,x1,dom1]=s1(2:7); [n2,m2]=size(D2); if prod(size(s1))==1 then if n2==1 then D=D1*D2; [A1,B1*D2]; s=list('lss',A1,B1*D2,C1,D,x1,dom1);return;end if m2==1 then s=list('lss',A1,B1,D2*C1,D2*D1,x1,dom1);return;end //Transpose [Q,M]=fullrf(D2);[n2,mq]=size(Q); if mq==1 then s=Q*list('lss',A1,B1*M,C1,D1*M,x1,dom1);return;end //Transpose w=s1; for k=2:mq, w=sysdiag(w,s1);end s=w*M;s=Q*s;return; end D=D1*D2; [A1,B1*D2]; s=list('lss',A1,B1*D2,C1,D,x1,dom1);
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function r=%sp_e(i,j,a) // r=a(i,j) for f sparse in some special cases //! // Copyright INRIA [lhs,rhs]=argn(0) if rhs==2 then a=j; a=a(:) r=a(i) end
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clc clear //Input data p1=5//Pressure of steam in bar V=100//Velocity in m/s p2=1.5//Exit pressure in bar At=1280//Throat area in mm^2 Ae=1600//Exit area in mm^2 rp=0.58//Critical pressure ratio //Calculations ho=2749//Enthalpy in kJ/kg so=6.822//Entropy in kJ/kg.K px=(rp*p1)//Critical pressure in bar sx=so//Entropy in kJ/kg.K xx=(sx-1.660)/5.344//Dryness fraction hx=(556+(xx*2168))//Enthalpy in kJ/kg Vx=sqrt(((ho+((V^2*10^-3))/2)-hx)*(2/10^-3))//Velocity in m/s vx=(xx*0.6253)//Specific volume in m^3/kg w=(At*10^-6*Vx)/vx//Mass flow rate in kg/s s1s=sx//Entropy in kJ/kg.K x1s=(so-1.434)/5.789//Dryness fraction h1s=(467+x1s*2226)//ENthalpy in kJ/kg z=((Vx^2*10^-3)/2)-hx//z value //By iteratio scheme x1=0.932//Dryness fraction v1=1.080//Specific volume in m^3/kg h1=2542//Enthalpy in kJ/kg V1=652.2//Velocity in m/s nn=((hx-h1)/(hx-h1s))//Nozzle efficiency //Output printf('Mass flow rate is %3.3f kg/s \n Nozzle efficiency is %3.3f',w,nn)
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clear;lines(0); s='1 1.3' [n,a,b]=msscanf(s,"%i %e") msscanf(s,"%i %e") msscanf(' 12\n','%c%c%c%c') //scan characters msscanf('0xabc','%x') //scan with hexadecimal format msscanf('012345abczoo','%[0-9abc]%s') //[] notation //create a file with data u=mopen(TMPDIR+'/foo','w'); t=0.5;mfprintf(u,'%6.3f %6.3f\n',t,sin(t)) t=0.6;mfprintf(u,'%6.3f %6.3f\n',t,sin(t)) mclose(u); //read the file u=mopen(TMPDIR+'/foo','r'); [n,a,b]=mfscanf(u,'%e %e') l=mfscanf(u,'%e %e') mclose(u);
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argc:7 Dataset: ../datasets/converted/4adjnoun.net Nodes Edges Com Mod NMI Time seq async 112 850 1 0.0162048 -1 0.000222195 par async 112 850 1 0.016205 -1 0.077458
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// Given:- T1 = 300.00 // The temperature at the beginning of the compression process in kelvin p1 = 1.00 // the pressure at the beginning of the compression process in bar r = 8.00 // compression ratio V1 = 560.00 // the volume at the beginning of the compression process in cm^3 T3 = 2000.00 // maximum temperature during the cycle in kelvin // Part(a) // At T1 = 300k,table A-22 gives u1 = 214.07 // in kj/kg vr1 = 621.2 // Interpolating with vr2 in Table A-22, we get T2 = 673.00 // in kelvin u2 = 491.2 // in kj/kg // At T3 = 2000 K, Table A-22 gives u3 = 1678.7 // in kj/kg vr3 = 2.776 // Interpolating in Table A-22 with vr4 gives T4 = 1043 // in kelvin u4 = 795.8 // in kj/kg // Calculations // For the isentropic compression Process 1–2 vr2 = vr1/r // With the ideal gas equation of state p2 = p1*(T2/T1)*(r) // in bars // Since Process 2–3 occurs at constant volume, the ideal gas equation of state gives p3 = p2*(T3/T2) // in bars // For the isentropic expansion process 3–4 vr4 = vr3*(r) // The ideal gas equation of state applied at states 1 and 4 gives p4 = p1*(T4/T1) // in bars // Results printf( ' At state1, the pressure is: %f bar.',p1) printf( ' At state1, the temperature is %f kelvin.',T1) printf( ' At state2, the pressure is : %.3f bar.',p2) printf( ' At state2, the temperature is %f kelvin.',T2) printf( ' At state3, the pressure is : %.3f bar.',p3) printf( ' At state3, the temperature is %f kelvin.',T3) printf( ' At state4, the pressure is : %.4f bar.',p4) printf( ' At state4, the temperature is %f kelvin.',T4) // Part(b) eta = 1-(u4-u1)/(u3-u2) // thermal efficiency // Result printf( ' The thermal efficiency is : %.2f ',eta) // Part(c) R = 8.314 // universal gas constant, in SI units M = 28.97 // molar mass of air in grams // Calculations m = ((p1*V1)/((R/M)*T1))*10**-6*10**5*10**-3 // mass of the air in kg Wcycle = m*((u3-u4)-(u2-u1)) // the net work per cycle in KJ mep = (Wcycle/(V1*(1-1/r)))*10**6*10**3*10**-5 // in bars // Result printf( ' The mean effective pressure, is : %.4f atm.',mep)
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# tests multivariable balance solution units SI $thermo = VirtualMaterials.RK / -> $thermo thermo + PROPANE n-BUTANE balance = Balance.BalanceOp() balance # set number of balance streams balance.NumberStreamsInMat = 2 balance.NumberStreamsOutMat = 2 # make it a mole balance (not that it matters in this case) balance.BalanceType = 2 # set compositions cd balance In0.Fraction In0.Fraction = .3 .7 In1.Fraction = .4 .6 Out0.Fraction = .6 .4 Out1.Fraction = .8 .2 # give two flows - other two should be calculated In0.MoleFlow = 1000 Out0.MoleFlow = 1500 # and they are In1.MoleFlow Out1.MoleFlow
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//chapter1,Example1_9,pg 483 //assume that the voltmeter full scale reading is 12V which gives its resistance as 1.2*10^6 ohm which is in parallel with 10*10^6 ohm making as equivalent of Rq given as R=1.2*10^6//voltmeter resistance R1=10*10^6//voltage divider resistance Rq=(R*R1)/(R+R1)//equivalent resistance Vin=12//input voltage to divider network Rs=4*10^6//series resistance Vq=(Rq*Vin)/(Rq+Rs)//voltage across equivalent combination Va=(R1*Vin)/(R1+Rs)//actual volatge er=(Vq-Va)/Va//error printf("\nerror in measurement\n") printf("\ner=%.3f ",er)
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//Chapter 12: The Cylindrical Antenna and the Moment Method //Example 12-12.2 clc; //Variable Initialization z_load = 2.083 + 1605*%i //Conjugate matched load (ohm) e0 = 1.0 //Electric field magnitude (unitless) l = 1/10.0 //Length of dipole (lambda) ima = 0+1*%i //Imaginary number z11_exact = 0.4935 - 3454*%i //Exact impedance vector(ohm) z11_apprx = 0.4944 - 3426*%i //Approximate impedance vector(ohm) z12_exact = 0.4935 + 1753*%i //Exact impedance vector(ohm) z12_apprx = 0.4945 + 1576*%i //Approximate impedance vector(ohm) z13_exact = 0.4935 + 129.9*%i //Exact impedance vector(ohm) z13_apprx = 0.4885 + 132.2*%i //Approximate impedance vector(ohm) //Calculation d = l/4 //Length of each segment (lambda) vm = (2*e0/(2*%pi))*tan(2*%pi*d/2) //Voltage vector (VA) z22 = z11_exact + z_load //Impedance matrix for loaded dipole (VA) zmat_exact =([z11_exact+z13_exact,z12_exact;2*z12_exact,z22])//Z(impedance) matrix (unitless) vmat = ([vm;vm]) //Voltage matrix (unitless) [i1]= linsolve(zmat_exact,vmat) //Current matrix (unitless) i1=i1*-1 i3 = i1(1) //Current vector (unitless) e_zn = (60*tan(2*%pi*d/2))*ima //Free space electric field (V/m) e_s = i1(1)*e_zn + i1(2)*e_zn + i3*e_zn //Scattered field (V/m) sigma = 4*%pi*(abs(e_s)**2)/(abs(e0)**2) //Radar Cross section (lambda**2) //Result mprintf("The radar cross section using exact values of Z matrix is %.4f lambda square",sigma(1))
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clc //solution //given dc=0.050//m dse=0.075//m dsi=0.050//m dp=0.018//m t=50//degree celcius Es=210*10^9//N/m^2 Ec=105*10^9//N/m^2 as=11.5*10^-6//per degree celcius ac=17*10^-6//per degree celcius //refer fig 4.18 pi=3.14 Ac=(pi/4)*dc^2//m^2 As=(pi/4)*(dse^2-dsi^2)//m^2 Ap=(pi/4)*(dp)^2 //let l be the length of rods //dlc=l*ac*t=850*10^-6*l //dls=l*as*t=575*10^-6*l //x=dlc-dls=275*10^-6*l //x1=(P*l)/(Ac*Ec)=(P*l)/(206.22*10^6)//m //x2=(P*l)/(As*Es)=(P*l)/(515.55*10^6)//m //therefore X=x1+x2=(6.79*10^-9*P*l) //x=X P=(275*10^-6)/(6.79*10^-9)//N fc=P/Ac//N/m^2 fs=P/As//N/m^2 tp=P/(2*Ap)//N/m^2 printf("the stress in coper bar is, %f N/m^2\n",fc) printf("the stress in steel bar is, %f N/m^2\n",fs) printf("the stress is pin is,%f N.m^2",tp)
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clc// // // //Variable declaration s=1*10^-3; //size(m) l=1*10^-3; //length(m) lamda=650*10^-9; //wavelength(m) //Calculation tantheta=(l/2)/s; theta=atan(tantheta); //angle(radian) sintheta=(sin(theta)); ss=0.6*lamda/sintheta; //spot size(m) //Result printf("\n spot size is %0.3f micro m",ss*10^6)
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function check(in1, in2, tolerance) if argn(2) == 2 then tolerance = 0.001 end if type(in1) ~= type(in2) then error('check: The data types of the inputs don''t match.') end if or(type(in1)==[1, 4, 8]) then if size(in1) ~= size (in2) then error('check: The sizes of the inputs don''t match.') end n = length(in1) input_diff = in1 - in2 avgDiff = sum(abs(input_diff))/n if avgDiff < tolerance then disp('Passed!') else disp('Failed') printf("Average Absolute Difference: %f\n", avgDiff) end end endfunction getd //The tests start // //pskmod tests disp("-----Running Tests for pskmod") // disp(" *Test 1: Two arguments") P = pskmod([0,1 ; 2,3], 4) P_octave = [1, %i ; -1, -%i] check(P, P_octave) // disp(" *Test 2: Initial Phase") P = pskmod([0,1 ; 2,3], 4, %pi/2) P_octave = [%i, -1 ; -%i, 1] check(P, P_octave) // disp(" *Test 3: Gray option") P = pskmod([0,1 ; 2,3], 4, %pi/2, 'Gray') P_octave = [%i, -1 ; 1, -%i] check(P, P_octave) // disp("-----Finished Running Tests for pskmod") //pskmod tests finished // //pskdemod tests disp("-----Running Tests for pskdemod") // disp(" *Test 1: Two arguments") P = pskdemod([1,-1 ; %i,-%i], 4) P_octave = [0, 2 ; 1, 3] check(P, P_octave) // disp(" *Test 2: Initial phase") P = pskdemod([1,-1 ; %i,-%i], 4, %pi/2) P_octave = [3, 1 ; 0, 2] check(P, P_octave) // disp(" *Test 3: Gray code case") P = pskdemod([1,-1 ; %i,-%i], 4, %pi/2, 'Gray') P_octave = [2, 1 ; 0, 3] check(P, P_octave) // disp("-----Finished Running Tests for pskdemod") //pskdemod tests finished // //qammod tests disp("-----Running Tests for qammod") // disp(" *Test 1: Four qam") P = qammod([0,1 ; 2,3], 4) P_octave = [-1+%i, -1-%i ; 1+%i, 1-%i] check(P, P_octave) // disp("-----Finished Running Tests for qammod") //qammod tests finished // //qamdemod tests disp("-----Running Tests for qamdemod") // disp(" *Test 1: Four qam") P = qammod([0,1 ; 2,3], 4) Q = qamdemod(P,4) Q_octave = [0,1;2,3] check(Q, Q_octave) // disp("-----Finished Running Tests for qamdemod") //qamdemod tests finished // //pammod tests disp(" *Test 1: Simple PAM modulation") P = pammod([0,1;2,3],4) P_octave = [-3,-1;1,3] check(P,P_octave) // disp(" *Test 2: PAM modulation with initial phase and Gray code") P = pammod([0,1,2,3;4,5,6,7],8,%pi/2,"Gray") P_octave = [7,5,1,3;-7,-5,-1,-3] * %i check(P,P_octave) //pammod tests finished // //pamdemod tests disp(" *Test 1: Simple PAM demodulation") P = pamdemod([-3,-1;1,3],4) P_octave = [0,1;2,3] check(P,P_octave) // disp(" *Test 2: PAM modulation with initial phase and Gray code") P = pamdemod([7,5,1,3;-7,-5,-1,-3] * %i,8,%pi/2,"Gray") P_octave = [0,1,2,3;4,5,6,7] check(P,P_octave) //pamdemod tests finished // //genqammod tests disp(" *Test 1: General QAM modulation") P = genqammod([0,1;2,3],[1,%i,-%i,-1]) P_octave = [1,%i;-%i,-1] check(P,P_octave) //genqammod tests finished // //genqamdemod tests disp(" *Test 1: General QAM demodulation") P = genqamdemod([1,%i;-%i,-1],[1,%i,-%i,-1]) P_octave = [0,1;2,3] check(P,P_octave) //genqammod tests finished //The tests end exit
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function[VetX,VetY]=euler(a,b,m,y0) h = (b-a)/m; x = a; y = y0; deff('[Fxy]=f(x,y)','Fxy=(1.5*10⁴)/(5*10⁸)-(1.5*10^(-3)+3*10^(-4))*C'); Fxy = feval(x,y,f); VetX(1) = x; VetY(1) = y; for i=1:m x = a + i*h; y = y + h*Fxy; disp(i,x,y,Fxy); VetX(i+1) = x; VetY(i +1) = y; end endfunction
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//Example No. 14_02 //Finite Difference Method //Pg No. 470 clear ; close ; clc ; deff('D2Y = d2y(x)','D2Y = exp(x^2)') x_1 = 0; y_0 = 0 ; y_1 = 0 ; h = 0.25 xf = 1 n = (xf-x_1)/h for i = 1:n-1 A(i,:) = [1 -2 1] B(i,1) = exp((x_1 + i*h)^2)*h^2 end A(1,1) = 0 ; //since we know y0 and y4 A(3,3) = 0 ; A(1,1:3) = [ A(1,2:3) 0] //rearranging terms A(3,1:3) = [ 0 A(3,1:2)] C = A\B //Solution of Equations mprintf(' \n The solution is \n y1 = y(0.25) = %f \n y2 = y(0.5) = %f \n y3 = y(0.75) = %f \n ',C(1),C(2),C(3))
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clc; // page no 707 // prob no 19.3 // A typical low-cost monochrome receiver has a video bandwidth of 3MHz B=3;// bandwidth in MHz // The horizontal resolution in lines is given as L_h=B*80; disp('lines',L_h,'The horizontal resolution in lines is');
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//Calculate the Potential Energy of Intraction in between Sodium ion and HCl molucule //Example 16.2 clc; clear; mew=1.08*3.33*10^-30; //Dipole moment in C m r=4.0*10^-10; //Distance between Sodium ion and HCl molucule in m epsilion=8.854*10^-12; //Molar absorption cofficient in C^2 N^-1 m^-2 q=1.602*10^-19; //Charge on electron in C V1=-(q*mew)/(4*%pi*epsilion*r^2); //Potential energy of intraction in J V=V1*6.023*10^23/1000; //Potential energy of intraction in kJ mol^-1 printf("Potential energy of intraction in between Sodium ion and HCl molucule = %.0f kJ mol^-1",V);
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q=poly([0 1 2],'s','coeff'); G=1/q //gain FACTOR=1 H=1 F=1/(1+G*H) syms t s; Ko=limit(s*F/s,s,0) //Ko=Lt s->0 (1/(1+G(s)H(S)) d=diff(s*F/s,s); K1=limit(diff(s*F/s,s),s,0) //K1=Lt s->0 (dF(s)/ds) K2=limit(diff(d,s),s,0) //K2=Lt s->0 (d2F(s)/ds) dd=diff(d,s) K3=limit(diff(dd,s),s,0) disp(K3) a=(2+4*t+6*(t^2)+2*(t^3)) b=diff( a,t) c=diff(b,t) d=diff(c,t) e=(Ko*a)+(K1*b)+(K2*c)+(K3*d) //error by dynamic coefficient method disp(e,"error")
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clc T=300// K k=1.3806*10^-23// JK^-1 Qss=10^10// cm^-2 tox=650*10^-8// tox=650A =650*10^-8 cm epsilon0=8.85*10^-14// F/m epsilons=11.7 epsilonox=3.9 ni=1.5*10^10// cm^-3 e=1.6*10^-19// eV Nd=2.5*10^14// cm^-3 phifn=(((k*T)/e)*log(Nd/ni))//phifn=V1*log(Nd/ni)=((k*T)/e)*log(Nd/ni) disp(phifn,"the value of phifn in V is") xdT=(4*(epsilons*epsilon0)*phifn/(e*Nd))^0.5 disp(xdT,"the value of xdT in meter is") QSD=e*Nd*xdT// [QSD(max)]=e*Na*xdT disp(QSD,"the value of QSD in C/cm^2") phims=-0.35// V VTP=(-QSD-(Qss*e))*(tox/(epsilonox*epsilon0))+phims-(2*phifn)// VTP=(-QSD(max)-Qss)*(tox/epsilonox)+phims+2*phifn disp(VTP,"the value of VTP in V is")
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//Transport Processes and Seperation Process Principles //Chapter 4 //Example 4.7-3 //Principles of Steady State Heat Transfer //given data //si units T1=394.3; T2=366.5; Tf=(T1+T2)/2; del=30/1000; rho=0.9295; mu=2.21e-5; k=0.03219; Pr=0.693; betaa=1/Tf; L=0.6; g=9.806; Gr=(del^3)*(rho^2)*g*betaa*(T1-T2)/(mu*mu) h=((k/del)*(0.20)*((Gr*Pr)^0.25))/((L/del)^(1/9)); A=0.6*0.4;//area= length*breadth q=h*A*(T1-T2); mprintf("heat transfer rate= %f W",q) //calculation deviations may occur
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// Test # 7 : Input Argument #2 range test exec('./allpassshiftc.sci',-1); [n,d]=allpassshiftc(0.2,53); //!--error 10000 //Wt must lie between -1 and 1 //at line 46 of function allpassshiftc called by : //[n,d]=allpassshiftc(0.2,53);
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//Maximum and power// pathname=get_absolute_file_path('8.06.sce') filename=pathname+filesep()+'8.06-data.sci' exec(filename) //Velocity of flow(in ft/sec): V=Q/24/3600/(%pi/4*(D/12)^2)*42/7.48 //Maximum spacing(in ft): L=2/f*D/12*(p2-p1)/(SG*d)/V^2*144 //Power needed at each pump(in hp): Win=1/Effp*V*%pi/4*(D/12)^2*(p2-p1)/550*144 printf("\n\nRESULTS\n\n") printf("\n\nMaximum spacing: %.3f feet\n\n",L) printf("\n\nPower needed at each pump: %.3f hp\n\n",Win)
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clc clear //input ns=330 //number of turns of secondary np=450 //number of turns in primary e=0.65 //efficiency vp=240 //ac supply of primary //calculation vs=e*(vp*ns)/np//transformer equation //output printf("the pd across secondary is %3.0f V",vs)
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//check o/p when i/p is a char vector x=['a']; [d]=dutycycle(x); //output //!--error 10000 //Input arguments must be double. //at line 56 of function dutycycle called by : //[d]=dutycycle(x); //at line 3 of exec file called by : //cycle16.sce', -1
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//Chapter-9 example 2 //============================================================================= clc; clear; //input data Da = 2.5;//diameter of parabolic antenna in m F = 5*10^9;//radar operating frequency in hz Vo = 3*10^8;//velocity of EM wave in m/s //Calculations lamda = Vo/F;//wavelength Gp = 6.4*(Da/lamda)^2//gain of parabolic reflector G = 10*log10(Gp)//gain in dB //Output mprintf('Gain of parabolic reflector is %3.2f dB',G); //=============end of the program==============================================
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任意極配置.sce
//”CˆÓ‹É”z’u A=[1 0;0 2]; b=[1;1]; poles=[-2,-3]; k_=ppol(A,b,poles); k=-k_ spec(A+b*k)
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//Ex:7.14 clc; clear; close; n=1; n1=1.48; r=((n1-n)/(n1+n))^2;// fresnel's reflection Ls=-10*log(1-r)/log(10);// optical loss in dB Lt=2*Ls;// total fresnel loss printf("The total fresnel loss =%f dB", Lt);
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//Find Electric field //Ex:15.1 clc; clear; close; v=230;//in volts d=0.005;//in m E=-v/d;//in V/m disp(E,"Electric field between pair of conducting plates (in V/m) = ");
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//============================================================================= // Chapter 8 example 20 clc; clear; // Variable declaration e = 1.6*10^-19 // charge of electron Rh = -0.0125; // hall co-efficient ue = 0.36; // electron mobility E = 80; // electric field // Calculations n = -1/(Rh*e) J = n*e*ue*E // current density // Result mprintf('Current density = %d Ampere/m^2',J); //==============================================================================
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/////////////////////////////////////////////////////////////////////////////// // Author: Jia Wu // Date: Jan. 2010 // Description: build a classification and regression tree // // Copyright (C) 2009 OpenPR // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above copyright // notice, this list of conditions and the following disclaimer in the // documentation and/or other materials provided with the distribution. // * Neither the name of OpenPR nor the names of its // contributors may be used to endorse or promote products derived // from this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY HOLDERS AND CONTRIBUTORS "AS IS" AND ANY // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED // WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE // DISCLAIMED. IN NO EVENT SHALL HOLDER AND CONTRIBUTORS BE LIABLE FOR ANY // DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES // (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; // LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND // ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. /////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////// // Input: // train_samples - data matrix of size dim*num; each column is a data point // train_labels - class labels of training samples // impurity_type - impurity type for splitting; it can be Entropy, Gini, // or Misclassification // // Output: // cart - the trained classification and regression tree; // it is a struct variable /////////////////////////////////////////////////////////////////////////////// function cart = buildcart(train_samples, train_labels, impurity_type) //, stop_prune_crit) if (length(unique(train_labels))==1), cart.split = train_labels(1); cart.right = []; cart.left = []; return; end ut = unique(train_labels); for i = 1:length(ut), ht(i) = length(find(labels == ut(i))); end if ((size(train_samples,2)==1) | (sum(ht<size(train_samples,2)))==length(ut)-1) //stop splitting (using Chi-square test for early stopping?) cart.right = []; cart.left = []; [l_val, l_loc] = max(ht); label = ut(l_loc) cart.split = label; else //split [dim, num] = size(train_samples); iN = ones(1, dim); split_feature = zeros(1, dim); threshold = zeros(1, dim); //////////////////// how to use function "optim"... for i = 1:dim, for j = 1:num, tmp = split(train_samples(i,j), train_samples, train_labels, i, impurity_type); if tmp < iN(i), iN(i) = tmp; threshold(i) = train_samples(i, j); end end end [val, f_dim] = min(iN); //split the node cart.split = [f_dim, threshold(f_dim)]; right = find(train_samples(f_dim, :) > threshold(f_dim)); left = find(train_samples(f_dim, :) <= threshold(f_dim)); if isempty(right) | isempty(left), cart.right = []; cart.left = []; [l_val, l_loc] = max(ht); label = ut(l_loc) cart.split = label; //record the label of the leaf else //continue splitting cart.right = buildcart(train_samples(:, right), train_labels(:, right), impurity_type) //, stop_prune_crit); cart.left = buildcart(train_samples(:, left), train_labels(:, left), impurity_type) //, stop_prune_crit) end end endfunction //split criterion function iN = split(threshold, samples, labels, idx_f, stype) class = unique(labels); for i = 1:length(class), sub = find(labels == class(i)); Pr(i) = length(find(samples(idx_f, sub) > threshold))/length(sub); Pl(i) = length(find(samples(idx_f, sub) <= threshold))/length(sub); end select stype, case 'Entropy' iN_r = sum(-Pr.*log(Pr+2.2204e-016)/log(2)); iN_l = sum(-Pl.*log(Pl+2.2204e-016)/log(2)); case 'Gini' iN_r = 1 - sum(Pr.^2); iN_l = 1 - sum(Pl.^2); case 'Missclassification' iN_r = 1 - max(Pr); iN_l = 1 - max(Pl); otherwise error('wrong split type'); end ra = length(find(samples(idx_f, :) > threshold))/length(labels); iN = -ra*iN_r-(1-ra)*iN_l; endfunction //stop criterion //prune criterion
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clear // M = 10 //KN.m - The moment applied I_max = 23.95*(10**6) //mm4 - I_z The moment of inertia I_min = 2.53*(10**6) //mm4 - I_y The moment of inertia o = 14.34 // degress the principle axis rotated //Coponents of M in Y,Z direction M_z = M*(10**6)*cos((%pi/180)*(o)) M_y = M*(10**6)*sin((%pi/180)*(o)) //tanb = I_z /I_y *tan14.34 b = atan((I_max*tan((%pi/180)*(o))/I_min )) B = (180/%pi)*(b) y_p = 122.9 // mm - principle axis Y cordinate z_p = -26.95 //mm - principle axis z cordinate stress_B = - M_z*y_p/I_max + M_y*z_p/I_min //MPa - Maximum tensile stress y_f = -65.97 // mm - principle axis Y cordinate z_f = 41.93 //mm - principle axis z cordinate stress_f = - M_z*y_f/I_max + M_y*z_f/I_min //MPa - Maximum compressive stress //location of nuetral axis To show these stresses are max and minimum //tanB = MzI_z + MzI_yz/MyI_y +M_YI_yz I_z = 22.64 *(10**6) //mm4 moment of inertia in Z direction I_y = 3.84 *(10**6) //mm4 moment of inertia in Y direction I_yz =5.14 *(10**6) //mm4 moment of inertia in YZ direction M_y = M //KN.m bending moment in Y dorection M_z = M //KN.m bending moment in Y dorection B = atan(( M_z*I_yz)/(M_z*I_y )) //(%pi/180)* location on neutral axis beta1 = (180/%pi)*(B) printf("\n By sketching the line with angle %0.1f degrees The farthest point associated with B and F",beta1)
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// program for the ramp function for discrete signal // Exercise 4 clear; function y = ramp_dis(n,a_d,m) // m is the slope & a_d (if +ve : advance / -ve : delay) N = length(n); // length of the discrete time vector y = zeros(1,N); for i =1:N if n(i) >= -a_d y(i) = m*(n(i) + a_d); else end end endfunction clf; dn = 1; n = -20 : dn : 20; ad = -1; amp = 3; y1 = ramp_dis(n,ad,amp); plot2d3(n,y1,style=[color("magenta")]); xlabel("n","fontsize",4); ylabel("y1","fontsize",4); title("Ramp Function (Discrete Signal) ","fontsize",4)
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// Example 2.26.a: Find R1,R2 & Re clc; clear; close; Vcc=10;// Colector voltage in volts Beta=50;//Common emitter D.C. Current gain Rc=2;// Collector resistance in killo ohms Vce=4;// Collector to emitter voltage in volts Vbe=0.3;// Base to emitter voltage in volts Ic=2;//Collector current in milli Ampere Ib=Ic/Beta;//Base current in milli ampere I1=10*Ib;// Ie=Ic;// Emitter current in mili ampere Re=(Vcc-Ic*Rc-Vce)/Ic;//Emiier Resistance V2=Vbe+Ic*Re;//Voltage across R2 R2=V2/I1; R1=25-R2; disp(R1,"resistance in killo ohms") disp(R2,"resistance in killo ohms") disp(Re,"emitter resistance in killo ohms")
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//Example 8.4.a // stray losses clc; clear; close; Il=83;// WHEN LOADED IN AMPERES V=110;// in volts I=5;// in amperes without load ra=0.5;//armature resistance in ohms rsh=110;//shunt field in ohms Ish=V/rsh;// in ampere anl=I-Ish;//armature current in amperes at no load al=Il-Ish;//armature currentin amperes at load Eb1=(V-anl*ra);//back emf at no load Eb2=(V-al*ra);//back emf at load Dp=Eb1*anl;//driving power at no load in watt Dpl=Eb2*al;//driving power at load in watt mo=Dpl-Dp;//out of motor in watt disp(Dp,"stray losses in watt")
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//Example 2_16 page no:84 clc current_source=5//in ampere source_resistance=5//in ohm equ_src_volt=current_source*source_resistance disp(equ_src_volt,"equivalent source voltage is (in volt)")
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//MAM_OPT_TP8 //auteur : ZHONG Ming // clear() function [J,G]=cost1(v) J = 0 n = length(v) for i=1:n J = J + (v(i)-1)^2 end G = 2*v-2 endfunction function [J,G]=cost2(v) J = 0 n = length(v) G = zeros(n) for i=1:n J = J + (v(i)-i)^2 G(i) = 2*(v(i)-i) end endfunction function Av1 = Av(v) n = length(v) // Av1 = 2*v // cost = J1 // Av1 = Av3(v) // cost = J3 Av1 = Av5(v) // cost = J4 endfunction function Av1 = Av3(v) n = length(v) Av1(1) = 2*v(1) - v(2) for i = 2:n-1 Av1(i) = -v(i-1) + 2*v(i) - v(i+1) end Av1(n) = -v(n-1) + 2*v(n) endfunction function [J,G]=cost3(v) n = length(v) f = ones(n,1) J = 0.5*Av3(v)'*v - f'*v G = Av3(v) - f endfunction function Av1 = Av5(v) n = length(v) Av1(1) = 4*v(1) - v(2) - v(3) Av1(2) = -v(1) + 4*v(2) - v(3) - v(4) for i = 3:n-2 Av1(i) = -v(i-2) - v(i-1) + 4*v(i) - v(i+1) - v(i+2) end Av1(n-1) = -v(n-3) - v(n-2) + 4*v(n-1) - v(n) Av1(n) = -v(n-2) - v(n-1) + 4*v(n) endfunction function [J,G]=cost4(v) n = length(v) f = ones(n,1) J = 0.5*Av5(v)'*v - f'*v G = Av5(v) - f endfunction
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// Example 11.16: (a) AF, T // (b) R1F, RoF clc, clear btao=150; ICQ=1.5e-3; // in amperes VT=25e-3; // Voltage equivalent to temperatue at room temperature in volts // From circuit without feedback but with loading in Fig. 11.50 RS=2e3; // in ohms RE1=0.1e3; // in ohms RF=6.2e3; // in ohms RC1=4.3e3; // in ohms RC2=1.2e3; // in ohms RL=4.7e3; // in ohms function[c]=parallel(a,b) c=a*b/(a+b); endfunction disp("Part (a)"); gm=ICQ/VT; // Transconductance in mho r_pi=btao/gm; // Incremental resistance of emitter-base diode in ohms AV1=-btao*RC1/(RS+r_pi+(1+btao)*parallel(RE1,RF)); AV2=-btao*parallel(RC2,parallel(RF+RE1,RL))/(RC1+r_pi); AoL=AV1*AV2; bta=-RE1/(RE1+RF); T=-bta*AoL; AF=AoL/(1+T); disp(AF,"AF ="); disp(T,"T ="); disp("Part (b)"); RID=r_pi+(1+btao)*parallel(RE1,RF); // in ohms RID_dash=RS+RID; // in ohms RIF_dash=RID_dash*(1+T); // in ohms RIF=RIF_dash-RS; // in ohms RoD=parallel(RC2,RF+RE1); // in ohms RoD_dash=parallel(RoD,RL); // in ohms RoF_dash=RoD_dash/(1+T); // in ohms RoF=RL*RoF_dash/(RL-RoF_dash); // in ohms RIF=RIF*1e-3; // in kilo-ohms disp(RIF,"RIF (kΩ​) ="); disp(RoF,"RoF (Ω​) =");
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//Chapter 4 Ex 11 clc; close; clear; expr=4-(5/(1+(1/(3+(1/(2+(1/4))))))); mprintf("The Value of expression is %.3f",expr);
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// to find the longest pulse width // example 9-5 in page 261 clc; //Given data Ri=10e+6;// input resistance in ohm Cc=0.1e-6;// coaxial cable capacitance in farad //calculation printf("pulse width=%.1f s",Ri*Cc/10);// here pulse width=tou/10 seconds //result //pulse width=0.1 s
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//Ex 7.1 page 260 clc; clear; close; N1=1000;// rpm Va1=200;// V alfa=60;// degree Va2=230;// V N2=2*Va2*sqrt(2)*cos(alfa*%pi/180)*N1/Va1/%pi printf('\n Speed of motor = %d rpm',N2) // ans in the textbook is not accurate.
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clc;funcprot(0);//Example 8.19 //Initilisation of Variables Tci=30;......//Inlet temparature of water in degrees celcius Tco=100;....//Outlet temparature of water in degrees celcius Th=120;......//Temparature of oil in degrees celcius mc=2.5;....//Flow rate of water in kg/s U=2000;..........//Overall heat transfer coefficient in W/m^2K Cpc=4.2;....//Specific heat of water in kJ/kgK Rf=0.0002;....//Fouling factor in m^2*K/W //calculations Qw=mc*Cpc*(Tco-Tci);....//Heat transfer water in kW LMTD=((Th-Tci)-(Th-Tco))/log((Th-Tci)/(Th-Tco));......//Log mean temparature diffrence of steam in counter flow arrangement in K A=(Qw*10^3)/(U*LMTD);....//Surface area of heat exchanger in m^2 Uscale=1/(Rf+(1/U));....//Overall heat transfer coefficient in presence of scaling factor in W/m^2K LMTD1=(Qw*1000)/(Uscale*A);....//Log mean temparature diffrence of steam in counter flow arrangement in presence scaling factor in K //By Trail & Error method Tco1=74.5;.....//Outlet temparature of water in presence of scaling factor in degrees celcius disp(Tco1,"Outlet temparature of water in presence of scaling factor in degrees celcius:")
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sce
show-vc-output.sce
// Show output of Visual C++ AEC implementation funcprot(0); // avoid warning when redefining a function exec('utils.sce'); // file names mic_fn = '../data/03_mic.raw'; spk_fn = '../data/03_spk.raw'; out1_fn = '../data/out/03_out.raw'; mic = loadRawData(mic_fn); spk = loadRawData(spk_fn); out1 = loadRawData(out1_fn); // plot the data plotOneFileBelowAnother(spk_fn, mic_fn, out1_fn);