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clc; e1=-13.6; //energy in eV disp(e1/9,"Energy in eV = "); //displaying result
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// Chapter 11_ Metal-Oxide-Semiconductor Field Effect Transistor:Additional Concepts //Caption_Mobility variation //Ex_2//page 517 Na=3*10^16 tox=450*10^-8 eps=11.7*8.85*10^-14 e=1.6*10^-19 eps_ox=3.9*8.85*10^-14 ni=1.5*10^10 //intrinsic carrier concentration L=1.25*10^-4 rj=0.5*10^-4 Cox=eps_ox/tox //oxide capacitance phi_fp=0.0259*log(Na/ni) xdt=(4*eps*phi_fp/(e*Na))^0.5 x=e*Na*xdt/Cox y=(1+(2*xdt/rj))^0.5-1 delVt=-x*(rj*y/L) //voltage shift printf('Threshold voltage shift due to short channel effects is %1.3f V',delVt)
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//Variable declaration: T1 = 140.0 //Initial temperature of hot water (.) T2 = 110.0 //Final temperature of hot water (.) T3 = 60.0 //Initial temperature of cold water (.) T4 = 90.0 //Initial temperature of cold water (.) DTlm2 = 50.0 //Log mean temerature difference for countercurrent flow, a constant (.) (part 2) m = 100.0*60 //Water flow rate (lb/h) cp = 1.0 ////Heat capacity of water (Btu/lb..) U = 750.0 //Overall heat teansfer coefficient (Btu.h.ft^2..) //Calculation: DT1 = T1-T3 //Temperature difference 1 (.) (part 1) DT2 = T2-T4 //Temperature difference 2 (.) DTlm1 = (DT1-DT2)/log(DT1/DT2) //Log mean temerature difference (.) Q = m*cp*(T1-T2) //Heat transferred (Btu/h) Ap = Q/(U*DTlm1) //Heat transfer area for parallel flow (ft^2) Ac = Q/(U*DTlm2) //Heat transfer area for counter flow (ft^2) //Result: printf("1. The double pipe co-current flow is : %.2f ft^2 .",Ap) printf("1. The double pipe countercurrent flow is : %.2f ft^2 .",Ac)
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Q = [0, 0; 0, 2; 2, 2; 2, 0; 0, 0]; plot(Q(:, 1), Q(:, 2)); // para visualizar melhor o quadrado plot(-4, -4); plot(8, 8); /* A translation moves an object to a different position on the screen. You can translate a point in 2D by adding translation coordinate (tx, ty) to the original coordinate X,Y to get the new coordinate X′,Y′. The pair (tx, ty) is called the translation vector or shift vector. P' = P + T */ // Move the square to the right. x = 4, y = 0 T = [4, 0; 4, 0; 4, 0; 4, 0; 4, 0]; QT = Q + T; plot(QT(:, 1), QT(:, 2)); // move the square up. x = 4, y = 4 T = [4, 4; 4, 4; 4, 4; 4, 4; 4, 4]; QT = Q + T; plot(QT(:, 1), QT(:, 2)); // move the square left. x = 0, y = 4 T = [0, 4; 0, 4; 0, 4; 0, 4; 0, 4]; QT = Q + T; plot(QT(:, 1), QT(:, 2));
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exec('plates.sci') filas=5 [A b] = plates(filas,1,1) printf('A:\n') disp(A) printf('\n') printf('b:\n') disp(b) printf('\n')
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clear //Given A1=25.0 //mm**2 l2=1 //m R2=1/58.0 A2=1 l1=1000 //Calculation R=(l1/l2)*(A2/A1) R1=R*R2 //Result printf("\n The value of resistance is %0.2f ohm",R1)
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//Tested on Windows 7 Ultimate 32-bit //Chapter 7 Field Effect Transistors Pg no. 241 clear; clc; //Given Data //Figure 7.31 gm=5D-3;//transconductance in Siemens RD=2.7D3;//drain resistance in ohms RL=3.3D3;//load resistance in ohms //Solution RL_eq=RD*RL/(RD+RL);//equivalent load resistance in ohms GV_dash=gm*RL_eq;//voltage gain for loaded circuit GV=gm*RD;//voltage gain for unloaded circuit printf("Voltage gain GV'' = %.2f\n Unloaded a.c. voltage gain GV = %.1f",GV_dash,GV); //decimal approximation in textbook
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//scilab 5.4.1 //Windows 7 operating system //chapter 13 Field-Effect Transistors clc clear IDSS=12*10^-3//IDSS=saturation drain current in Ampere when VGS(gate-to-source voltage)=0V Vp=-4//Vp=pinch-off voltage VDD=30//VDD=drain supply voltage RL=5*10^3//RL=load resistance in ohms Rs=600//Rs=resistance connected to source terminal in ohms Rg=1.5*10^6//Rg=resistance connected to gate terminal in ohms //By Shockley's equation //IDS=IDSS*(1-(VGS/Vp))^2 where IDS=saturation drain current to be calculated for given value of VGS //Substituting VGS=(-ID*Rs) we get ID=IDS //ID=IDSS*(1+((ID*Rs)/Vp))^2 //ID=12*(1+((0.6*ID)/-4))^2 where ID is obtained in mA //(0.27*ID^2)-(4.6*ID)+12=0.........(1) ID1=(4.6+sqrt((4.6^2)-(48*0.27)))/(2*0.27) format("v",5) ID2=(4.6-sqrt((4.6^2)-(48*0.27)))/(2*0.27)//ID1,ID2 are the 2 roots of the above equation (1) format("v",5) disp("mA",ID1,"ID1=") disp("mA",ID2,"ID2=") if (ID1>(IDSS/10^-3)) then//IDSS is converted in terms of mA disp("mA",ID1,"As ID1>IDSS ,the value rejected is ID1=") end if (ID2>(IDSS/10^-3)) then//IDSS is converted in terms of mA disp("mA",ID2,"As ID2>IDSS ,the value rejected is ID2=") end disp("mA",ID2,"Therefore,the drain current is =") ID=ID2*10^-3//converting ID2 in terms of Ampere VDS=VDD-ID*(RL+Rs)//VDS=drain-to-source voltage disp("V",VDS,"The value of drain-to-source voltage VDS is =") VGS=-ID*Rs//VGS=gate-to-source voltage disp("V",VGS,"The value of gate-to-source voltage VGS is=") if(Vp<0 & VDS>(VGS-Vp)) disp("As Vp=(-4)<VGS<0V and VDS=12V>(VGS-Vp),it is verified that the JFET is in the saturation region of the drain characteristics") end
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//Exa 11.14 clc; clear; close; //Given data : Vrms=66;//kV Vmax=Vrms*sqrt(2);//kV gmax=60;//kV/cm d=2*Vmax/%e/gmax;//cm d1=%e*d;//cm V1=Vrms/%e;//kV dV=Vrms-V1;//kV(Voltage between sheath & intersheath) disp(dV,"Voltage between sheath & intersheath(kV)");
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errcatch(-1,"stop");mode(2);//Example 2.19://error ; ; n=40;//revolutions rc=0.12;//registration constant err=n/rc;//energy recorded in kWh is e2=22000;//volts e1=110;//volts i2=500;//amperes i1=5;//amperes i=5.25;//amperes lv=110;//volts pf=1;// t=61;//seconds ae=((sqrt(3)*e2*lv*i*i2*pf*t)/(e1*i1*3600))*10^-3;//kWh e=((err-ae)/ae)*100;// disp(-e,"error (slow) is (%)") exit();
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clc clear mprintf('Mechanical vibrations by G.K.Grover\n Example 4.11.2\n') //given data fn=5.75//natural frequency in Hz zeta=0.65 ZbyY=1.01 //case 1 //substituting for (Z/Y)=1.01 and (W/Wn)=r^2 in Eqn 4.4.11 we get the quadratic eqn as follows //0.02*r^4-0.31*r^2+1=0 //solving for r in above eqn whose rootes are r1 and r2 r1=sqrt(((0.31)+sqrt(((-0.31)^2)-4*0.02*1))/(2*0.02)) r2=sqrt(((0.31)-sqrt(((-0.31)^2)-4*0.02*1))/(2*0.02)) if r1>r2 then r=r1 else r=r2 end bet=r//bet=(W/Wn) f1=bet*fn //case 2 ZbyY=0.98 //substituting for (Z/Y)=0.98 and (W/Wn)=r^2 in Eqn 4.4.11 we get the quadratic eqn as follows //0.04*r^4+0.31*r^2-1=0 //solving for r in above eqn whose rootes are r3 and r4 r3=sqrt((-0.31+sqrt(((0.31)^2)-4*0.04*-1))/(2*0.04)) r4=sqrt((-0.31-sqrt(((0.31)^2)-4*0.04*-1))/(2*0.04)) t1=real(r3) t2=real(r4) if t1>t2 then r=r3 else r=r4 end bet=r//bet=(W/Wn) f2=bet*fn mprintf('The lowest frequency beyond which the amplitude can be measured within\n (i)one percent error is %4.4f Hz\n (ii)two percent error is %4.4f Hz',f1,f2)
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//Optoelectronics and Fiber Optics Communication by C.R. Sarkar and D.C. Sarkar //Example 6.11 //OS = Windows 7 //Scilab version 5.5.2 clc; clear; //given Pin=900*10^-3;// Input Power in W Voc=600*10^-3;// Open circuit voltage in V Isc=240*10^-3;//Short circuit current in A FF=0.75;//Fill factor Pmax=(Voc*Isc*FF);// Maximum Power in W eta=(Pmax/Pin);// Conversion Efficiency mprintf("\n Conversion Efficiency is =%.2f Percent",eta*100);//multiplication by 100 to convert into percentage
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function affiche2Image(matriceImage, matriceTraitee) subplot(1,2,1) // définit la 1ère zone d'affichage imshow(uint8(matriceImage)) // pour la 1ère image subplot(1,2,2) // définit la 2ème zone d'affichage imshow(uint8(matriceTraitee)); endfunction
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// Example 12.4 // Computation of (a) Required resistance of a noninductive diverter that will // bypass 27 percent of the total armature current(b) Power rating of the // diverter // Page No. 494 clc; clear; close; // Given data Rs=0.00306; // Shunt generator resistance rating Is=0.73; // Shunt generator current rating Id1=0.27; // Armature winding resistance Pload=170000; // Load of power VT=250; // Shunt generator voltage rating Id2=680; // No load voltage Rd=0.27; // Resistance drop // (a) Required resistance of a noninductive diverter that will bypass // 27 percent of the total armature current Rd=Rs*Is/Id1; // (b) Power rating of the diverter Ia=Pload/VT; Pd=((Id1*Id2)^2)*Rd; //Display result on command window printf("\n Required resistance of a noninductive diverter = %0.5f Ohm ",Rd); printf("\n Power rating of the diverter = %0.0f W ",Pd);
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// Scilab Benchmark 2 (8 March 2003) // version 2, scaled to get 1 +/- 0.1 sec with R 1.6.2 // using the standard ATLAS library (Rblas.dll) // on a Pentium IV 1.6 Ghz with 1 Gb Ram on Win XP pro // Author : Philippe Grosjean // eMail : phgrosjean@sciviews.org // Web : http://www.sciviews.org // License: GPL 2 or above at your convenience (see: http://www.gnu.org) // // Several tests are adapted from: //*************************************************************************** //* Matlab Benchmark program version 2.0 * //* Author : Stefan Steinhaus * //* EMAIL : stst@informatik.uni-frankfurt.de * //* This program is public domain. Feel free to copy it freely. * //*************************************************************************** // Escoufier's equivalents vectors (III.5) is adapted from Planque & Fromentin, 1996 // Ref: Escoufier Y., 1970. Echantillonnage dans une population de variables // aleatoires réelles. Publ. Inst. Statis. Univ. Paris 19 Fasc 4, 1-47. // // type exec('c:\<dir>\Scilab2.sce', 0); to start the test stacksize(30000000) runs = 3; // Number of times the tests are executed times = zeros(5, 3); disp(' Scilab Benchmark 2') disp(' ==================') disp('Number of times each test is run__________________________: ' + string(runs)) disp(' ') disp(' I. Matrix calculation') disp(' ---------------------') // (1) cumulate = 0; a = 0; b = 0; for i = 1:runs timer(); a = abs(rand(1500, 1500, 'n')/10); b = a'; a = matrix(b, 750, 3000); b = a'; timing = timer(); cumulate = cumulate + timing; end; timing = cumulate/runs; times(1, 1) = timing; disp('Creation, transp., deformation of a 1500x1500 matrix (sec): ' + string(timing)); clear('a'); clear('b'); // (2) cumulate = 0; b = 0; for i = 1:runs a = abs(rand(800, 800, 'n')/2); timer(); b = a.^1000; timing = timer(); cumulate = cumulate + timing; end timing = cumulate/runs; times(2, 1) = timing; disp('800x800 normal distributed random matrix ^1000______ (sec): ' + string(timing)) clear('a'); clear('b'); // (3) cumulate = 0; b = 0; for i = 1:runs a = rand(2000000, 1, 'n'); timer(); b = -sort(-a); timing = timer(); cumulate = cumulate + timing; end timing = cumulate/runs; times(3, 1) = timing; disp('Sorting of 2,000,000 random values__________________ (sec): ' + string(timing)) clear('a'); clear('b'); // (4) cumulate = 0; b = 0; for i = 1:runs a = rand(700, 700, 'n'); timer(); b = a'*a; timing = timer(); cumulate = cumulate + timing; end timing = cumulate/runs; times(4, 1) = timing; disp('700x700 cross-product matrix (b = a'' * a)___________ (sec): ' + string(timing)) clear('a'); clear('b'); // (5) cumulate = 0; c = 0; for i = 1:runs a = rand(600, 600, 'n'); b = 1:600; timer(); c = a\b'; timing = timer(); cumulate = cumulate + timing; end timing = cumulate/runs; times(5, 1) = timing; disp('Linear regression over a 600x600 matrix (c = a \ b'') (sec): ' + string(timing)) clear('a'); clear('b'); clear('c'); times = sort(times, 'r'); disp(' --------------------------------------------------') disp(' Trimmed geom. mean (2 extremes eliminated): ' + string(exp(mean(log(times(2:4,1)))))) disp(' ') disp(' II. Matrix functions') disp(' --------------------') // (1) cumulate = 0; b = 0; for i = 1:runs a = rand(800000, 1, 'n'); timer(); b = fft(a, -1); timing = timer(); cumulate = cumulate + timing; end timing = cumulate/runs; times(1, 2) = timing; disp('FFT over 800,000 random values______________________ (sec): ' + string(timing)) clear('a'); clear('b'); // (2) cumulate = 0; b = 0; for i = 1:runs a = rand(320, 320, 'n'); timer(); b = spec(a); timing = timer(); cumulate = cumulate + timing; end timing = cumulate/runs; times(2, 2) = timing; disp('Eigenvalues of a 320x320 random matrix______________ (sec): ' + string(timing)) clear('a'); clear('b'); // (3) cumulate = 0; b = 0; for i = 1:runs a = rand(650, 650, 'n'); timer(); b = det(a); timing = timer(); cumulate = cumulate + timing; end timing = cumulate/runs; times(3, 2) = timing; disp('Determinant of a 650x650 random matrix______________ (sec): ' + string(timing)) clear('a'); clear('b'); // (4) cumulate = 0; b = 0; for i = 1:runs a = rand(900, 900, 'n'); a = a'*a; timer(); b = chol(a); timing = timer(); cumulate = cumulate + timing; end timing = cumulate/runs; times(4, 2) = timing; disp('Cholesky decomposition of a 900x900 matrix__________ (sec): ' + string(timing)) clear('a'); clear('b'); // (5) cumulate = 0; b = 0; for i = 1:runs a = rand(400, 400, 'n'); timer(); b = inv(a); timing = timer(); cumulate = cumulate + timing; end timing = cumulate/runs; times(5, 2) = timing; disp('Inverse of a 400x400 random matrix__________________ (sec): ' + string(timing)) clear('a'); clear('b'); times = sort(times, 'r'); disp(' --------------------------------------------------') disp(' Trimmed geom. mean (2 extremes eliminated): ' + string(exp(mean(log(times(2:4,2)))))) disp(' ') disp(' III. Programmation') disp(' ------------------') // (1) cumulate = 0; a = 0; b = 0; phi = 1.6180339887498949; for i = 1:runs a = floor(1000 * rand(750000, 1, 'u')); timer(); b = (phi.^a - (-phi).^(-a)) / sqrt(5); timing = timer(); cumulate = cumulate + timing; end timing = cumulate/runs; times(1, 3) = timing; disp('750,000 Fibonacci numbers calculation (vector calc)_ (sec): ' + string(timing)) clear('a'); clear('b'); clear('phi'); // (2) cumulate = 0; a = 2250; b = 0; for i = 1:runs timer(); b = ones(a, a)./((1:a)' * ones(1, a) + ones(a, 1) * (0:(a-1))); timing = timer(); cumulate = cumulate + timing; end timing = cumulate/runs; times(2, 3) = timing; disp('Creation of a 2250x2250 Hilbert matrix (matrix calc) (sec): ' + string(timing)) clear('a'); clear('b'); // (3) cumulate = 0; c = 0; deff('[c]=gcd2(a, b)',['if b <= 1.0E-4'; 'c = a;'; 'else'; 'b(b == 0) = a(b == 0);'; 'c = gcd2(b, modulo(a, b));'; 'end']) for i = 1:runs a = ceil(1000 * rand(70000, 1, 'u')); b = ceil(1000 * rand(70000, 1, 'u')); timer(); c = gcd2(a, b); // gcd2 is a recursive function timing = timer(); cumulate = cumulate + timing; end timing = cumulate/runs; times(3, 3) = timing; disp('Grand common divisors of 70,000 pairs (recursion)___ (sec): ' + string(timing)) clear('a'); clear('b'); clear('c'); // (4) cumulate = 0; b = 0; for i = 1:runs b = zeros(220, 220); timer(); for j = 1:220 for k = 1:220 b(k,j) = abs(j - k) + 1; end end timing = timer(); cumulate = cumulate + timing; end timing = cumulate/runs; times(4, 3) = timing; disp('Creation of a 220x220 Toeplitz matrix (loops)_______ (sec): ' + string(timing)) clear('b'); clear('j'); clear('k'); // (5) cumulate = 0; p = 0; q = 0; vt = 0; vr = 0; vrt = 0; rvt = 0; RV = 0; j = 0; k = 0; x2 = 0; R = 0; Rxx = 0; Ryy = 0; Rxy = 0; Ryx = 0; Rvmax = 0; f = 0;, c= 0; d = 0; for i = 1:runs x = abs(rand(37, 37, 'n')); timer(); // Calculation of Escoufier's equivalent vectors p = size(x, 2); vt = [1:p]; // Variables to test vr = []; // Result: ordered variables RV = [1:p]; // Result: correlations for j = 1:p // loop on the variable number Rvmax = 0; for k = 1:(p-j+1) // loop on the variables x2 = [x, x(:, vr), x(:, vt(k))]; // New table to test // R = corrcoef(x2); // Correlations table // Not in scilab, so the 5 following lines do it q = size(x2, 1); x2 = x2 - ones (q, 1) * sum (x2, 'r') / q; c = conj(x2' * x2 / (q - 1)); d=diag(c); R = c ./ sqrt(d * d'); Ryy = R(1:p, 1:p); Rxx = R(p+1:p+j, p+1:p+j); Rxy = R(p+1:p+j, 1:p); Ryx = Rxy'; rvt = trace(Ryx*Rxy)/((trace(Ryy^2)*trace(Rxx^2))^0.5); // RV calculation if rvt > Rvmax Rvmax = rvt; // test of RV vrt(j) = vt(k); // temporary held variable end end vr(j) = vrt(j); // Result: variable RV(j) = Rvmax; // Result: correlation f = find(vt~=vr(j)); // identify the held variable vt = vt(f); // reidentify variables to test end timing = timer(); cumulate = cumulate + timing; end times(5, 3) = timing; disp('Escoufier''s method on a 37x37 matrix (mixed)________ (sec): ' + string(timing)) clear('x'); clear('p'); clear('q'); clear('vt'); clear('vr'); clear('vrt'); clear('rvt'); clear('RV'); clear('j'); clear('k'); clear('x2'); clear('R'); clear('Rxx'); clear('Ryy'); clear('Rxy'); clear('Ryx'); clear('Rvmax'); clear('f'); clear('c'); clear('d'); times = sort(times, 'r'); disp(' --------------------------------------------------') disp(' Trimmed geom. mean (2 extremes eliminated): ' + string(exp(mean(log(times(2:4,3)))))) disp(' ') disp(' ') disp('Total time for all 15 tests_________________________ (sec): ' + string(sum(times))) disp('Overall mean (sum of I, II and III trimmed means/3)_ (sec): ' + string(exp(mean(log(times(2:4,:)))))) clear('cumulate'); clear('timing'); clear('times'); clear('runs'); clear('i'); disp(' --- End of test ---')
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clc// // // //Variable declaration a=0.38; //lattice constant(nm) h=1; k=1; l=0; //Calculation d=a/sqrt(h^2+k^2+l^2); //distance between planes(nm) //Result printf("\n distance between planes is %0.2f nm",d)
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// Scilab code Ex4.2: Pg 116 (2008) clc; clear; A = 45e-06; // Cross sectional area of pole face, metre-square B = 0.6; // Flux density, T // Using formula B = phi/A, solving for phi phi = B*A; // Flux, Wb printf("\nThe flux produced by pole face = %2d micro-wWb", phi/1e-06); // Result //The flux produced by pole face = 27 micro-Wb
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//Basic Circuit Concepts //page no-1.17 //example1.12 disp("Applying KVL to the circuit :"); disp("50 - 5*I - 1.2*I - 16 = 0") I=(50-16)/6.2; printf("I= %.2f Amp", I); P=50*I; printf("\nPower delivered 50 V source = 50 * 5.48= %.2f W", P);
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2_5.sce
clear; clc; close; E = 8; //volts R = 2.2*10^(3); //ohms Id = 0; //diode reversed Vr = Id*R; Vd = E-Vr; diary('C:\Users\DELL\Desktop\intern\chapter_2\2_5.txt'); disp(Vd,'Diode Volatge is : '); disp(Vr,'Voltage across R is : '); disp(Id,'Current through diode is : ');
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parse: [0,8*(n-1)*(2*n-1),-2*n*(4*n-7),(n-2)*n] matrix:[[0],[8,-24,16],[0,14,-8],[0,-2,1]]
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// chapter 7 example 7 //----------------------------------------------------------------------------- clc; clear; // given data // given (lamda/10) wire dipole // Radiation resistance of short dipoles is Rr = 790*(1/lamda)^2; // Rr = 790*(lamda/(10*lamda))^2; // Rr = 7.9; mprintf('Radiation resistance = 7.9 ohms'); //------------------------------------------------------------------------------
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clear; clc; //Example - 11.6 //Page number - 390 printf("Example - 11.6 and Page number - 390\n\n"); //This problem involves proving a relation in which no mathematics and no calculations are involved. //For prove refer to this example 11.6 on page number 390 of the book. printf(" This problem involves proving a relation in which no mathematics and no calculations are involved.\n\n"); printf(" For prove refer to this example 11.6 on page number 390 of the book.")
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clear; clc; //Example9.1[Heat Loss from Hot Water Pipes] //Given:- l=6;//Length[m] d=0.08;//diameter[m] T_room=20;//[degree Celcius] Ts=70;//Surface temperature of pipe[degree Celcius] Tf=(Ts+T_room)/2;//Film temperature[degree Celcius] //Properties of air at Tf k=0.02699;//[W/m.degree Celcius] Pr=0.7241;//Prandtl number nu=1.750*10^(-5);//[m^2/s] b=(1/(Tf+273));//[K^-1] g=9.81;//Acc dur to gravity[m/s^2] e=1;//Emissivity //Solution:- Lc=d;//Characteristic length[m] Ra_d=g*b*(Ts-T_room)*(d^3)*Pr/(nu^2); disp(Ra_d,"The Rayleigh number is") Nu=((0.6+((0.387*(Ra_d^(1/6)))/((1+((0.559/Pr)^(9/16)))^(8/27))))^2); disp(Nu," The natural convection Nusselt number is") h=k*Nu/d;//[W/m^2.degree Celcius] As=%pi*d*l;//[m^2] Q=h*As*(Ts-T_room);//[W] disp("by natural convection","W",round(Q),"The pipe loses heat to the air in the room at a rate of") Q_rad=e*As*(5.76*10^(-8))*(((Ts+273)^4)-((T_room+273)^4));//[W] disp("W",ceil(Q_rad),"The radiation heat transfer is")
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clc //Chapter6 //Ex_2 //Given //let K=kT/e K=0.0259 //in V Na=10^18 //in cm^-3 Nd=10^16 //in cm^-3 e=1.6*10^-19 // in coulombs Eo=8.85*10^-12 //in m-3 kg-1 s4 A2 Er=11.9 E=Eo*Er ni=1.45*10^10 //in cm^-3 //Vo=(k*T/e)*log(Nd*Na/ni^2) Vo=(K)*log(Nd*Na/ni^2) disp(Vo) Nd=Nd*10^6 //in m^-3 Wo=sqrt(2*E*Vo/(e*Nd)) disp(Wo*10^6,"Depletion width in micro meters is")
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// Scilab Code Ex5.17 Change in number of vacancies due to disloaction motion: Page-176 (2010) l = 1e-03; // Edge dislocation length of simple cubic crystal, m d = 1e-06; // Distance of dislocation climb in, m a = 3e-10; // Lattice parameter of scc, m A = a^2; // Area of the unit cell, metre square A_affected = l*d; // Affected area when the dislocation climbs down, metre square // N.B.: Area of one unit cell in scc contributes one atom N = A_affected/A; // Number of vacancies created within the affected area printf("\nThe number of vacancies lost or created = %3.1e", N); // Result // The number of vacancies lost or created = 1.1e+010
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a এ a b e d a আ ব ে দ া a b h i s h e k অ ভ ি ষ ে ক a b u আ ব ু a b u l আ ব ু ল a b u l আ ব ্ দ ু ল a d a m আ ড া ম a d a m আ দ া ম a d a r s h n a g a r আ দ র ্ শ ন গ র a d d i s o n অ ্ য া ড ি স ন a d h i r k u m a r অ ধ ী র ক ু ম া র a d i t y a p u r আ দ ি ত ্ ত প ু র a d m i r a l t y অ ্ য া ড ম ি র া ল ্ ট ি a f z a a l আ ফ জ া ল a g i n c o u r t আ গ ি ন ক ো র ্ ট a h m e d a b a d আ হ ম ে দ ব া দ a i r c o n এ য় া র ক ন a j i m u d d i n আ জ ি ম ু দ ্ দ ি ন a j i r আ জ ি র a j o y c h a n d r a অ জ য চ ন ্ দ ্ র a j u s c o আ জ ু স ্ ক ো a k h a y k u m a r অ ক ্ ষ য ক ু ম া র a k h t a r আ খ ত া র a k o d i a আ ক ো দ া a k r a m আ ক ্ র া ম a l c a t e l অ ্ য া ল ক া ট ে ল a l e c আ ল ে ক a l e x a n d e r আ ল ে ক ্ স জ া ন ্ ড া র a l h a k আ ল হ ক a l i c a n t e অ ্ য া ল ি ক ্ য া ন ্ ট a l i c e অ ্ য া ল া ই স a l l a u d d i n আ ল ্ ল া উ দ ্ দ ি ন a l l e n এ ল ে ন a l l i a n c e অ ্ য া ল ি য় ে ন ্ স a l o a r a k h আ ল ো আ র া খ a l o k r a n j a n অ ল ো ক র ঞ ্ জ ন a l t a i r অ ল ট ে য় া র a l u m i n i u m অ ্ য া ল ম ু ন ি য় া ম a m a l a অ ম ল া a m a l k a n t i অ ম ল ক া ন ্ ত ি a m a r a অ ম র া a m a r t y a অ ম র ্ ত ্ য a m a z o n আ ম া জ ন a m b l i y a s a n অ ম ব ্ ল ি য় া স ন a m b u j a অ ম ্ ব ু জ া a m e r i c i u m অ ্ য া ম ি র ি স ি য় া ম a m e r i s o u r c e b e r g e n আ ম ে র ি স ো র ্ স ব া র ্ গ ে ন a m g a o n আ ম গ া ঁ ও a m i t অ ম ি ত a m l a k h u r d আ ম ল া খ ু দ a n a i k u t t a m আ ন া ই ক ু ট ্ ট া ম a n a n d p u r আ ন ন ্ দ প ু র a n a t h অ ন া থ a n d r o s আ ন ড ্ র ো স a n e s a b e g a m আ ন ে স া ব ে গ ম a n i অ ন ি a n i m a r a n i অ ন ি ম া র া ণ ী a n i n d y a অ ন ি ন ্ দ a n i t a অ ন ি ত া a n j h i আ ন জ ি a n j u n a r a আ ন জ ু ন া র া a n n a অ ্ য া ন a n s o n আ ন স ো ন a n s u d d i n আ ন স ু দ ্ দ ি ন a n u m i t a অ ন ু ম ি ত া a n u r a d h a অ ন ু র া ধ া a n u s h r i অ ন ু শ ্ র ী a o n l a আ ও ন ল া a r a b i a n আ র া ব ি য় া ন a r c h a n a অ চ র ্ ন া a r c h a n a অ র ্ চ ণ া a r i f আ র ি ফ a r l i n g t o n আ র ল ি ঙ ্ গ ট ন a r n o l d আ র ্ ন ল ্ ড a r s i k e r e আ র স ি ক ি র a r u n a r a n i অ র ু ন া র া ন ী a r u n d h u t i অ র ু ন ্ ধ ু ত ী a r u n k r i s h a n অ র ু ন ক ৃ ষ ্ ণ a r v i আ র ভ ি a s h f a q আ স ্ ফ ক a s i t অ স ি ত a s m a n t a r a আ স ম া ন ত া র া a s o k a আ শ ো ক a s t a t i n e অ ্ য া স ট ে ট ি ন a t t a w a l আ ট ্ ট া ও য় া ল া a t t i l a আ ট ্ ট ি ল া a v a y a অ ভ য় a v e n t i s অ ্ য া ভ ে ন ্ ট ি স a z a d p u r আ জ া দ প ু র a z m i r আ জ ম ী র a z o v অ জ ো ভ b a b u ব া ব ু b a b u l ব া ব ু ল b a b u r a a l i ব া ব ু র া ল ি b a b u r a m ব া ব ু র া ম b a b y ব ে ব ি b a c h c h a n ব চ ্ চ ন b a d a l r a n i ব া দ ল র া ন ী b a d a m i ব া দ া ম ি b a d a n i ব া দ া ন ি b a d d h n i ব া দ ্ ধ ন ি b a d d o w a l ব া দ ্ দ ো ও য় া ল b a g h a ব া ঘ া b a g r a i ব া গ র া ই b a g w a l i ব া গ ও া ল ি b a h r a i n ব া হ র ে ন b a i n c h i ব ৈ ঁ চ ি b a i y o k e ব া ই ও ক b a k h e r u n ব া খ ে র ু ন b a k k a i ব ি ক ্ ক া ই b a k r a ব া ক র া b a k s i ব ক ্ স ী b a l a m u ব া ল া ম ু b a l a n c e ব ্ য া ল ে ন ্ স b a l b a n t ব ল ব ন ্ ত b a l r a m p u r ব ল র া ম প ু র b a l s a m a n d ব ল স া ম ন ্ দ b a m a c h a r a n ব া ম া চ র ন b a m a n d a s ব া ম ন দ া স b a m a p a d a ব া ম া প দ b a m h a n i ব া ম হ া ন ি b a m o r i ব া ম ো র ি b a n b a s a ব া ন ব া স া b a n d i p u r ব ন ্ দ ি প ু র b a n d o l a ব া ন ্ ড ো ল া b a n d o p a d y a y ব ন ্ দ ্ য ো প া ধ ্ য া য় b a n g ব া ঁ ঙ b a n g s a r ব া ঙ ্ গ স া র b a n i p a d ব া ন ী প দ b a n s i ব ন স ি b a r a b h u m ব া র া ভ ূ ম b a r j a h a n ব ড় জ া হ া ন b a r k a t a l i ব র ক ত আ ল ি b a r n a m a l a ব র ্ ণ ম া ল া b a r s h a r a n i ব র ্ ষ া র া ন ী b a r t ব া র ্ ট b a r u n d e b ব র ু ন দ ে ব b a s h e r a ব া শ ে র া b a s i ব া স ি b a s k i n ব া স ্ ক ি ন b a u d d i n ব া উ দ ্ দ ি ন b a w o o ব া ও b a y a n ব া য় া ন b e c h a b a l a ব ে চ া ব া ল া b e l l e r o p h o n ব ে ল ে র ো ফ ো ন b e l m u n i ব ে ল ম ু ন ি b e l r a y a n ব ে ল র া য় া ন b e n i n ব ে ন ি ন b e r g e n ব া র ্ জ ে ন b e r n a r d ব া র ্ ন া ড b h a a t v a d e k a r ভ া ত ভ া দ ে ক া র b h a d b h o k e ভ া দ ভ ো ক ে b h a g a l p u r ভ া গ ল প ু র b h a g m a n i ভ া গ ম ন ি b h a k u c h a r a n ভ া ক ু চ র ণ b h a n u p r a t a p ভ া ন ু প ্ র ত া প b h a t i y a ভ া ত ি য় া b h a t s a ভ া ট স া b h a t t a c h a r y a ভ ট ্ ট া চ া র ্ য b h a u ভ া উ b h a v n a g a r ভ া ব ন গ র b h e n i w a l ভ ি ন ি ও য় া ল b h i l w a r a ভ ি ল ও য় া র া b h i m a s a r ভ ি ম া স া র b h i m a v a r a m ভ ি ম া ভ র া ন b h i m a v a r a m ভ ি ম া ভ র া ম b h i p a t i ভ ি প ত ি b h i s h m a ভ ী ষ ্ ম b h o g a l ভ ো গ া ল b h o l a ভ ো ল া b h o l a d a s i ভ ো ল া দ া স ী b h o r a s k a r ভ ো র া স ক া র b h u b a n m o h a n ভ ু ব ন ম ো হ ন b h u p e n ভ ূ প ে ন b h u s h a n c h a n d r a ভ ূ ষ ণ চ ন ্ দ ্ র b i b h a b a t i ব ি ভ া ব ত ী b i b h u t i b h u s h a n ব ি ভ ু ত ি ভ ু ষ ন b i b h u t i b h u s h a n ব ি ভ ূ ত ি ভ ূ ষ ণ b i d h u ব ি ধ ু b i h a r ব ি হ া র b i h i y a ব ি হ ি য় া b i j a l a b a l a ব ি জ ল া ব া ল া b i j a n ব ি জ ন b i j o o r ব ি জ ো য র b i k r a m ব ি ক ্ র ম b i l k i s h ব ি ল ক ি শ b i m a l a ব ি ম ল া b i m a l b a l a ব ি ম ল ব া ল া b i o t e c h ব া য় ো ট ে ক b i p a d b h a n j a n ব ি প দ ভ ঞ ্ জ ন b i p a d i ব ি প দ ী b i p i n k u m a r ব ি প ি ন ক ু ম া র b i r i d a k a n t a ব র দ া ক া ন ্ ত b i r j u ব ি র জ ু b i r m i n g h a m ব া র ্ ম ি ং হ া ম b i s h a ব ি শ া b i s h e n g a r h ব ি ষ হ ে ন গ ড় b i s w a ব ি শ ্ ব b i t h i ব ী থ ি b l a c k w e l l ব ্ ল া ক ও য় ে ল b l i x e n ব ্ ল ি ক ্ স ে ন b n k ব ্ য া ঙ ্ ক b o d a s ব ো দ া স b o d h g a y a ব ৌ দ ্ ধ গ য় া b o m b a y ব ো ম ্ ব ে b o n c e l l e s ব ো ন ্ স ে ল ্ ল ে স b o n d ব ন ্ ড b o n g a i g a o n ব ন গ া ই গ া ঁ ও b o n t e b o k ব ন ্ ট ে ব ু ক b o o t ব ূ ট b o p a r a i ব ো প া র া ই b r a s i l ব ্ র া স ি ল b r e t t ব ্ র ে ট b r i a n ব ্ র ি য় ে ন b r i t t ব ্ র ি ট b r o j o k i s h o r ব ্ র জ ক ি শ ো র b r o o k s ব ্ র ু ক স b r o o m ব ্ র ু ম b r o w n e ব ্ র া উ ন b r o w n i n g ব ্ র া উ ন ি ং b u c h i ব ু চ ী b u c k i n g h a m ব া ক ি ং হ া ম b u d h l a d a ব ু ধ ল া দ া b u d h n i ব ু ধ ন ি b u d h u ব ু দ ্ ধ ু b u l a n d s h a h a r ব ু ল া ন ্ দ শ হ র b u l l e n ব ু ল ে ন b u n a k e n ব ু ন া ক ে ন b u n d i ব ু ন ্ দ ি b u n o ব ু ন ো b u r a j ব ু র া জ b u r g e s s ব া র ্ জ ে স b u r i ব ু ড় ি b u s r a ব ু স র া b u t t ব ু ট ্ ট c a h n n i চ া ন ্ ন ি c a h o r a চ া হ ো র া c a j a ক া জ া c a m p a n a ক ্ য া ম ্ প া ন া c a n a d i a n ক া ন া ড ি য় া ন c a n a l ক ্ য া ন া ল c a n t a b r i a n ক ্ য া ন ্ ট া ব ্ র ি য় া ন c a s t l e ক ্ য া স ্ ট ে ল c a t h o l i c ক ্ য া থ ো ল ি ক c e m e n t স ি ম ে ন ্ ট c e n d a n t স ে ন ্ ড া ন ্ ট c e v e n n e স ে ভ ে ন ্ ন ে c h a l a k u d i চ া ল া ক ু দ ি c h a m p a n e r চ ম ্ প া ন ে র c h a n d a n a r a n i চ ন ্ দ ন া র া ন ী c h a n d i b a l a চ ণ ্ ড ি ব া ল া c h a n d l o d i y a চ া ন ্ দ ল ো দ ি য় া c h a n d o k চ ন ্ দ ক c h a n d r a k o n a চ ন ্ দ ্ র ক ো ণ া c h a n d r a n i চ ন ্ দ ্ র ন ী c h a n d r a p u r চ ন ্ দ ্ র প ু র c h a n d u r চ া ন ্ দ ু র c h a n e t i চ া ন ে ত ি c h a n n a g i r i চ া ন ্ ন া গ ি র ি c h a n n e l চ ্ য া ন ে ল c h a n p a চ া ঁ প া c h a n p a t i a চ া ন প া ট ি য় া c h a t a চ া ট া c h a t a r a ছ া ত া র c h a w l a চ া ও ল া c h a y g a o n চ া য় গ া ঁ ও c h e e m a চ ী ম া c h e e p u r u p a l l i চ ি প ু র ু প ল ্ ল ী c h e t a n চ ে ত ন c h h o t k a ছ ো ট ক া c h i g u m b u r a চ ি গ ু ম ্ ব ু র া c h i h e r u চ ি হ ে র ু c h i k b a l l a p u r চ ি ক ব া ল ্ ল া প ু র c h i n u b a l a চ ি ন ু ব া ল া c h i r a d i p চ ি র দ ী প c h i t a l চ ি ত ল c h i t a r a n j a n চ ি ও র ঞ ্ জ ন c h i t r a k o o t চ ি ত ্ র ক ূ ট c h i t r a r a n j a n চ ি ত ্ ত র ঞ ্ জ ন c h i t t a u r g a r h চ ি ত ্ ত উ র গ ড় c h i t t o r g a r h ছ ত ্ র ি শ গ ড় c h o b e চ ো ব c h o q u e l l a চ ো ক ু ই ল া c h u n i চ ু ন ি c h u n i b a l a চ ু ন ি ব া ল া c h u n i l a l চ ু ন ী ল া ল c h u r k চ ু র ্ ক c i b a স ি ব া c i r c l e স া র ক ে ল c i r c u i t s স া র ্ ক ি ট স c i v i c স ি ভ ি ক c l i v e ক ্ ল ি ভ c l o g g i n g ক ্ ল ো জ ি ং c o a s t ক ো স ্ ট c o c h r a i n e ক ো চ র ে ই ন c o k e ক ো ক c o l o m b o ক ল ম ্ ব ো c o l o n e l g a n j ক ল ো ন ে ল গ ঁ ঞ ্ জ c o m m i e ক ো ম ি য় ে c o n s t i t u t i o n ক ন ্ স ট ি ট ি উ শ া ন c o n s u l t i n g ক ন স া ল ্ ট ি ং c o n t e ক ন ্ ট ে c o o p e r ক ো প া র c o s g r o v e ক ো স গ ্ র ো ভ c o t t a g e ক ট ে জ c o u r t ক ো ট c r a n f i e l d ক ্ র া ন ফ ি ল ্ ড c r e s t ক ্ র ে স ্ ট c r o s s ক ্ র স c u i c a ক ু ই ক া c u l l e n চ ু ল ্ ল ে ন c u m b a r j u a ক ু ম ্ ব া র জ ু য় া c u s t e r ক ু স ্ ট া র d a b h o i দ া ভ ো ই d a b o l i m দ া ব ো ল ি ম d a b r a দ া ব ্ র া d a d a h u r ড া দ া উ র d a l e দ া ল ে d a l e s ড ে ল স d a l p a t p u r দ ল প া ত প ু র d a m o d a r দ া ম ো দ র d a n d i y a ড া ন ্ ড ি য় া d a n z o n ড ন জ ো ন d a r a n g দ া র া ঙ ্ গ d a r i e n ড া র ি য় ে ন d a r q a w i দ া র ক ো ত ী d a s h a r a t h i দ া শ র থ ি d a u n d দ া উ ন ্ দ d a u r a m দ া উ র া ম d a v e ড া ভ d a y ড ে d a y a দ য় া d a z a i ড া জ া ই d e b a n a n d a n দ ে ব া ন ন ্ দ d e b d a t t a দ ে ব দ ত ্ ত া d e b e s h দ ে ব ে শ d e b j e y a t i দ ে ব জ ্ য় ো ত ি d e h l o দ ে হ ল ো d e l a w a r e ড ে ল ও য় া র ে d e l r a n ড ে ল র া ম d e n e s h ড ে ন ি শ d e n n i s ড ে ন ি স d e r m a t o l o g y ড া র ্ ম া ট ো ল জ ি d e r y c k ড ে র ি ক d e v d h a r দ ে ব ধ র d e v i দ ে ব ী d e w a s দ ি ও য় া স d h a m u a ধ া ম ু য় া d h a n a w a l a ধ া ন া ও ্ ব া ল া d h a n e s h w a r i ধ ন ে শ ্ ব র ী d h a n i b a l a ধ ন ী ব া ল া d h a n u r a n i ধ া ন ু র া ণ ী d h a r a m d e v ধ র ম দ ে ব d h a r e s h w a r ধ া র ে শ ্ ব র d h a r i ধ া র ি d h a r m e n d a r ধ র ম ে ন ্ দ র d h a u h a n i ধ া উ হ া ন ি d h e e r ধ ী র d h i r e n k u m a r ধ ী র ে ন ক ু ম া র d h i r g a n j ধ ি র গ ঁ ঞ ্ জ d h o l a i ধ ো ল া ই d h r u b a c h a r a n ধ ্ র ু ব চ র ন d h r u b a n a t h ধ ্ র ু ব ন া থ d i c k ড ি ক d i l দ ি ল d i n e s h দ ী ন ে শ d i n e s h k u m a r দ ি ন ে শ ক ু ম া র d i n h o y দ ি ন হ য় d i p a n দ ী প ন d i p t i r a n i দ ী প ্ ত ি র া ন ী d i v i n g ড া ই ভ ি ং d i v y a দ ী ভ ্ য া d j i b o u t i জ ি ব ৌ ট ি d o l a দ ো ল া d o l l y ড ল ি d o m i n g o ড ো ম ং গ ো d o n e l s o n ড ো ন ে ল স ন d o o t দ ূ ত d o r o t h y ড ো র ো থ d o v e r ড ো ভ া র d r e s c h e r ড ্ র ে স া র d u a দ ো উ আ d u j o n ড ু জ ো ন d u k e ড ি উ ক d u l a r a দ ু ল া র া d u l l e w a l দ ু ল ্ ল ি ও য় া ল d u m b e g ড ু ম ্ ব ে গ d u r g a b a t i দ ু র ্ গ া ব ত ী d u r g a p a d a দ ূ র ্ গ া প দ d u r g a p r a s a d দ ু র ্ গ া প ্ র স া দ d u r j a d h a n দ ূ র ্ য় ো ধ ন e a d s ই য় া দ স e b r a h i m এ ব ্ র া হ ি ম e c u a d o r ই ক ু য় ে ড র e g m o r e এ গ ম ো ড় e k r a m u l h o k এ ক র া ম ু ল হ ক e l k h a r t এ ল খ া র ্ ট e m r e এ ম র ি e n d e a v o u r এ ন ্ ড ি য় ে ভ া র e n g i n e s ই ঞ ্ জ ি ন স e r h a r d এ র হ া র ্ ড e r n a k u l a m এ র ন া ক ু ল া ম e s k a l i s এ স ক া ল ি স e s t e s এ স ্ ট ে স e t h n o l o g y ই থ ন ো ল ো জ ি e v a n ই ভ া ন e x p l o r এ ক ্ স প ্ ল ো র e x p r e s s এ ক ্ স প ্ র ে স f a j i r a ফ জ ি র া f a j l u r r a h a m a n ফ জ ল ু র র হ ম া ন f a k i r u d d i n ফ ক ি র ু দ ্ দ ি ন f a l a u d i ফ া ল ৌ দ ি f a l w e l l ফ ল ও য় ে ল f a r i d ফ র ি দ f a r j a n ফ র জ ন f a r j a n ফ র জ া ন f a r u k ফ া র ু ক f a r u k h o s s a i n ফ া র ু ক হ ো স ে ন f a t e b i b i ফ ত ে ব ি ব ি f a t e j a n b i b i ফ ত ে জ া ন ব ি ব ি f a t t a n w a l a ফ ট ্ ট া ন ও য় া ল া f a y a d ফ া য় া দ f a z i l ফ া জ ি ল f d e d e r a t e d ফ ে ড া র ে ট ে ট ে ড f e r m i ফ ে র ্ ম ি f e r n s e h p r e i s ফ ে র ্ ন ্ স ে প ্ র া ই জ f e r t i l i s e r s ফ া র ্ ট ি ল া ই জ া র স f e r t i l i z e r s ফ া র ্ ট ি ল া ই জ া র স f e r u m a n ফ ে র ু ম া ন f i g u r e ফ ি গ া র f i r d a u s i ফ ি র দ ৌ স ী f i r s t s e r v i c e ফ া র ্ স ্ ট স া র ্ ভ ি স f i t n e s s ফ ি ট ন ে স f o r ফ র f o r c e ফ ো র ্ স f u k i ফ ু ক ি f u l f o r d ফ ু ল ফ ো র ্ ড f u l g h u m ফ ু ল গ হ ্ য া ম g a a n u গ া ন ু g a j i r a h a m a n গ া জ ী র হ ম া ন g a l l a t i n গ ্ য া ল া ট ি ন g a l l o p গ ্ য া ল ো প g a l u গ া ল ু g a m b h i r গ া ম ্ ভ ি র g a m e s জ ে ম স g a n d h a s w a r i গ ন ্ ধ ে শ ্ ব র ী g a n g a গ ঙ ্ গ া g a n g r a r গ ঙ ্ গ র া র g a o n গ া ঁ ও g a p h p h a r a l i গ ফ ফ া র আ ল ি g a r d e n গ া র ্ ড ে ন g a r h w a গ ড় ও য় া g a r y গ ্ য া র ি g a t e s গ ে ট স g e m p l u s জ ে ম প ্ ল া স g e n c o জ ে ন ক ো g e r h a r d u s গ ে র হ া র ড ু স g h a n a u l i ঘ া ন া উ ল ি g h u g u s ঘ ু গ ু স g h u m a ঘ ু ম া g i l l e t t e জ ি ল ে ট g i n i গ ি ন ি g i t a d e b i গ ি ত া দ ে ব ী g i t a n g a l i গ ী ত া ঞ ্ জ ল ী g i u s e p p e গ ি উ স ে প ্ প ে g o a গ ো য় া g o a l p a r a গ ো ল প া র া g o g t e গ ো গ ট ে g o k c e n গ ো ক স ে ন g o l a m গ ো ল া ম g o l b a n u গ ো ল ব া ন ু g o l j a r a l i গ ো ল জ া র আ ল ি g o l o k p a t i গ ো ল ক প ত ি g o n d a l গ ো ন ্ ড া ল g o p a l c h a n d গ ো ল া প চ া ঁ দ g o r g e s গ র গ ে স g o r o k h n a t h গ ো র খ ন া থ g o u n a r o p o u l o s গ ৌ ন া র ো প ো ল ো স g o u r গ ৌ র g o w i n d w a l গ ো ব ি ন ্ দ ও য় া ল g r a n g e গ ্ র া ন জ ে g u g r a l গ ু গ র া ল g u l a b গ ু ল া ব g u l a b c h a n d গ ু ল া ব চ া ঁ দ g u m t a l a গ ু ম ত া ল া g u n a w a r d e n e গ ু ন ও য় া র ্ ড ে ন g u p i n a t h গ ু প ী ন া থ g u r u d a s p u r গ ু র ু দ া স প ু র g u s গ ু স g w a l i o r গ ো য় া ল ি য় র g w i n e t t s গ ু ই ন ে ত ্ ত া স g y m n a s t i c s জ ি ম ন া স ্ ট ি ক ্ স h a a n a s হ া ন া স h a b i r হ ব ি র h a b u l হ া ব ু ল h a d d i n হ া দ ্ দ ি ন h a f e z হ া ফ ে জ h a i t i a n হ া ই ত ি য় া ন h a l i m u n হ া ল ি ম ু ন h a m b a d a হ া ম ব া দ া h a m i s h হ া ম ি শ h a m i s h হ া ম ি স h a n c o c k হ া ন ক ো ক h a n n o v e r হ া ন ো ভ া র h a n s i b u l হ া ঁ স ি ব ু ল h a q u e হ ক h a r i c h a r a n হ র ি চ র ণ h a r v e y হ া র ভ ে h a s i হ া স ি h a s r a t হ স র ত h e i g h t s হ া ই ট স h e k l a হ ে ক ্ ল া h e m a n t h a হ ে ম ন ্ থ h e n d r y হ ে ন ড ্ র ি h e r l u f হ া র ্ ল ু ফ h e r o i s m হ ে র ো ই জ ম h e r s c h e l l e হ া র স ে ল h i g h w a y হ া ই ও য় ে h i l d i t c h হ ি ল দ ি ত চ h i r a হ ি র া h i r u হ ী র ু h i r y u হ ি র ু h o c k e y হ ক ি h o n s h u হ ন স ু h o o k হ ু ক h o r s e হ র ্ স h o s e n a l i হ ো স ে ন আ ল ি h u g e হ ি উ h u l l হ ু ল ্ ল h u m m i n g b i r d হ া ম ি ং ব া র ্ ড h u x l e y হ া ক ্ স ল ে i b e r i a n আ ই ব ে র ি য় া ন i d r i s h ই দ ্ র ী শ i m a l i ল া ম া ল ি i n d u s t r i e s ই ন ্ ড ্ র া স ্ ট ্ র ি জ i r a w a t i ই র া ব ত ী i s l e ই স ল ে i s m a t ই স ম ত i s t v a n ই স ্ ত ভ া ন j a b a জ ব া j a g a d i s h w a r জ গ দ ী শ ্ ব র j a g d e b জ গ দ ে ব j a h a n g i r জ া হ া ঙ ্ গ ী র j a h e r a জ া হ ে র া j a i k w a d i জ য় ক ও া দ ি j a l a u n জ া ল া উ ন j a l i l জ ল ি ল j a l i l জ া ল ি ল j a m s e d a l i জ ম স ে দ আ ল ি j a n a r d a n জ ন া র ্ দ ন j a o h a r জ ও হ র j a s b i r জ স ব ি র j a y a n a n d a জ য় া ন ন ্ দ j e f f e r s o n জ ে ফ া র স ন j e s m i n জ ে স ম ি ন j h i m l i ঝ ি ম ল ী j h i r a ঝ ি র া j i a l i জ ি য় া ল ি j i n d a জ ি ন দ া j o u x জ ো ক ্ স j u b a i r জ ু ব া ই র j u l i a n জ ু ল ি য় া ন j u l i e n জ ু ল ি য় া ন j u m m a n জ ু ম ্ ম ন j u v e k a r জ ু ভ ে ক া র j y o t i জ ্ য ো ত ি k a b a r i ক ব র ী k a c h e r i ক া চ ে র ি k a c h i r a m ক চ ি র া ম k a h i n u r ক হ ি ন ু র k a i t h a l ক া ই থ া ল k a j a l b a l a ক া জ ল ব া ল া k a j i r u l ক া জ ি র ু ল k a l a m u d d i n ক া ল া ম উ দ ্ দ ি ন k a l o s o n a ক া ল ো স ন া k a l p a n a t h ক ল ্ প ন া থ k a l u w i t h a r a n a ক ল ু থ া র া ন া k a m a l e s h w a r ক ম ল ে শ ্ ব র k a m a l k u m a r ক ম ল ক ু ম া র k a m r u p ক া ম র ু প k a n a i ক া ন া ই k a n a n b a l a ক া ন ন ব া ল া k a n c h a n b a l a ক া ঞ ্ চ ন ব া ল া k a n i t k a r ক া ন ি ত ক া র k a n k a n ক ঙ ্ ক ন k a n s a i ক া ঁ স া ই k a p u r m o n i ক া প ু র ম ন ি k a r a n j w a n ক া র ঞ ্ জ ও য় া ন k a r a t e ক ্ য া র া ট ে k a r n i k ক া র ্ ন ি ক k a r p e ক া র ্ প ে k a s h a r i d e b i ক ে শ র ী দ ে ব ী k a s h i k a r ক া শ ি ক া র k a w a b a t a ক া ও য় া ব া ট া k a w a r d h a ক ো য় া র ্ ধ া k e k a r e ক ে ক া র ে k e m p ক ে ম ্ প k e n n e d y ক ে ন ্ ন ে ড ি k e n n y ক ে ন ি k e r s h a w ক া র ্ স k e s a r i ক ে শ র ী k e t a b a l i ক ে ত া ব আ ল ি k h a l d a খ া ল দ া k h a n d a খ া ঁ দ া k h a r g a খ র ্ গ k h e d a খ ে দ া k h e r খ ে র k h u r s h i d a খ ু র শ ি দ া k i s o r k u m a r ক ি শ ো র ক ু ম া র k l e i s t ক ্ ল ে ই স ্ ট k o n i k a r a n i ক ন ি ক া র া ন ী k o r b a n a l i ক ো র ব া ন আ ল ী k o r d e খ ো ড় ে k o u s t a b h ক ৌ স ্ ত ভ k r a t z ক ্ র া ট জ k r i s h a n u ক ৃ শ া ন ু k r i s h n a h a r i ক ৃ ষ ্ ণ হ র ি k r i s h n a k a l i ক ৃ ষ ্ ণ ক ল ি k r i s h n a k a l i ক ৃ ষ ্ ণ ক া ল ী k r i s h n a k i s o r ক ৃ ষ ্ ণ ক ি শ ো র k u l a r ক ু ল া র k u m b h u ক ু ম ্ ভ ু k u m h a r ক ু ম হ া র k u n j u b a l a ক ু ঞ ্ জ ব া ল া k u n t i d e v i ক ু ন ্ ত ী দ ে ব ী k u p w a d a ক ু প ও য় া র া k u s h i n a g a r ক ু শ ী ন গ র k u s u m b a l a ক ু স ু ম ব া ল া l a b o u r ল ে ব া র l a e e q ল া য় ে ক l a k s h m i d e b i ল ক ্ ষ ্ ম ী দ ে ব ী l a l a ল া ল া l a l m o n i d e v i ল া ল ম ন ি দ ে ব ী l a n d m a r k ল ্ য া ন ্ ড ম া র ্ ক l a r k i n ল া র ্ ক ি ন l a t u r ল া ট ু র l a u d e r d a l e ল া উ ড া র ড ে ল l a u g h l i n ল া ভ ল ি ন l a u r e n s ল র ে ন ্ স l a u r i a ল া উ র ি য় া l a v l i ল া ভ ল ি l a w a t e ল ও ত ে l e h r e r ল ে হ র া র l e l e ল ে ল ে l e o ল ি ও l e s l i e ল ে স ল ি l i b e r t y ল া ই ব ে র ি l i b e r t y ল ি ব া র ্ ট ি l l o y d ল ো ড l o g i t e c h ল গ ি ট ে ক l o k e s h ল ো ক ে শ l o k u a r a c h c h i ল ো ক া র া চ ্ চ ি l o n c i n ল ন স ন l o n g ল ং l o n k a r ল ো ন ক া র l o u i s ল ু ই স l u k h i ল ু খ ি m a c h h a n d a r ম া ছ া ন ্ দ া র m a c q u a r i e ম ্ য া ক ু ই র ি m a d h a b c h a n d r a ম া ধ ব চ ন ্ দ ্ র m a d h a i ম া ধ া ই m a d h u r i r a n i ম া ধ ু র ী র া ণ ী m a f i z u l ম ফ ি জ ু ল m a h ম া হ m a h a ম া হ া m a h a b a l ম হ া ব া ল m a h a g a n a p a t i ম হ া গ ণ প ত ি m a h a n u r u l ম হ ঃ ন ু র ু ল m a h a r o o f ম া হ া র ু ফ m a h s i n a ম হ স ি ন া m a j e l ম জ ে ল m a j i d a n ম জ ি দ া ন m a j n u ম া জ ন ু m a j p h p h a r ম জ ফ ্ ফ র m a j u r a ম জ ু র া m a k h a y a ম া খ ্ য া m a k s u m a ম ক স ু ম া m a k s u r a ম ক স ু র া m a l e k a ম া ল ে ক া m a l e k a b e g a m ম া ল ে ক া ব ে গ ম m a l e k a b i b i ম া ল ে ক া ব ি ব ি m a l i n a ম ল ি ন া m a l i n a b a l a ম ল ি ন া ব া ল া m a l i n i ম া ল ি ন ী m a l k a ম া ল ্ ক া m a l o n e ম ে ল ো ন m a l o t i r a n i ম া ল ত ী র া ন ী m a l t e s e ম ল ট ে জ m a l v a r k a r ম া ল ভ া র ক া র m a m t a j k h a t u n ম ম ত া জ খ া ত ু ন m a n d e ম া ন ্ ড ে m a n d i r ম া ন ্ দ ি র m a n g a l o r e ম ্ য া ঙ ্ গ া ল ো র m a n g l i ম ঙ ্ গ ল ী m a n h a t t a n ম ্ য া ন হ া ট ন m a n i k a r a n ম ন ি ক র ণ m a n i k u m a r ম ন ি ক ু ম া র m a n i m o h a n ম ন ি ম ো হ ন m a n i r a j ম ন ি র া জ m a n i r u l h a k ম ণ ি র ু ল হ ক m a n j u r a ম ঞ ্ জ ু ড় া m a n j u r a l i ম ঞ ্ জ ু র আ ল ী m a n n a n ম া ন ্ ন া ন m a n p o w e r ম ্ য া ন প া ও য় া র m a n s u r a l i ম ন স ু র আ ল ী m a p u t o ম া প ু ট ো m a r i a n ম া র ি য় া ন m a r i o n ম া র ি ও ন m a r k ম া র ্ ক m a r l o n ম া র ্ ল ো ন m a r s a b i t ম া র স া ব ি ট m a r s h a l l ম া র ্ স া ল m a r t i n i ম া র ্ ট ি ন ি m a r t u j a ম র ত ু জ া m a r u b e n i ম া র ু ব ে ন ি m a r u d h a n a d h i ম া র ু ধ া ন দ ী m a r u n d e e s w a r a r ম া র ু ন ্ দ ে শ ্ ব র া র m a s i r u l ম স ি র ু ল m a s t a n ম স ্ ত া ন m a s u r a l i ম ন স ু র আ ল ি m a t a ম া ত া m a t a n z a s ম া ত া ন জ া স m a t i j a n ম ত ি জ া ন m a t r i x ম ্ য া ট ্ র ি ক ্ স m a x ম ্ য া ক ্ স m a y ম ে m a y e r ম য় ে র m c c a w l e y ম ্ য া ক া ক া ক ো য় ে m c c u l l o c h ম ্ য া ক ক ু ল ো চ m c f a r l a n e ম ্ য া ক ফ া র ্ ল ে ন m e d a l ম ে ড ে ল m e d c o ম ে ড ক ো m e e n a ম ী ন া m e g h n a d ম ে ঘ ন া দ m e n a i ম ে ন া ই m e r c u r y ম া র ্ ক া র ি m e r v y n ম া র ভ ি ন m e s e d a l i ম ে স ে র আ ল ি m e t h ম ে থ m e t h u s e l a h ম ে থ ু স ল া হ m e t r o ম ে ট ্ র ো m e x i c o ম ে ক ্ স ি ক ো m h m u s t a k i m ম হ ঃ ম ু স ্ ত া ক ি ম m i c r o b i o l o g y ম া ই ক ্ র ো ব া য় ো ল জ ি m i f f i n ম া ফ ি ন m i g r o s ম া ই গ ্ র ো স m i l a b a l a ম ী ন া ব া ল া m i l a p ম ি ল া প m i r a g l i a ম ি র া গ ্ ল ি য় া m i z m a r ম ি জ ম া র m o b i n u l ম ো ব ি ন ু ল m o h a s h i n a ম হ া স ি ন া m o h i n i m o h a n ম ো হ ি ন ী ম ো হ ন m o k t a r ম ো ক ্ ত া র m o m e n a b e g a m ম ো ম ে ন া ব ে গ ম m o m e n b i b i ম ো ম ে ন া ব ি ব ি m o n a s h e e ম ো ন া শ ি m o n i c a ম ো ন ি ক া m o n i k a ম ো ন ি ক া m o n i r u z z a m a n ম ো ন ি র ু জ ্ জ া ম া ন m o n o r a m a d e v a ম ন ো র ম া দ ে ব ী m o n s h u r a ম ন শ ু র া m o o k a m b i k a ম ু ক া ম ্ ব ি ক া m o s e r ম ো জ া র m o s l e m a ম ো স ল ে ম া m o t h u r a m o h a n ম থ ু র া ম ো হ ন m o t o c r o s s ম ো ট ো ক ্ র ো স m o u ম ৌ m o u t u s h i ম ৌ ট ু স ী m o u t u s i ম ৌ ট ু স ি m o x e n o s ম ো ক ্ স ে ন ো স m r i d u l a r a n i ম ৃ দ ু ল া র া ন ী m u d r i s ম া দ ্ র ি স m u k i l t e o ম ু ক ি ল ট ি ও m u l c h a n d ম ু ল চ া ঁ দ m u m t a j ম ু ম ত া জ m u n e j a ম ু ন ে জ া m u n i c h ম ু ন ি চ m u n n i ম ু ন ্ ন ি m u n n i d e v i ম ু ন ্ ন ি দ ে ব ী m u n n i d e v i ম ু ন ্ ন ী দ ে ব ী m u r l i d h a r ম ু র ল ী ধ র m u r t a y j a ম ু র ত ে জ া m u s a f i r ম ু স া ফ ি র m u s i d a ম ু শ ি দ া m u s l e m a k h a t u n ম ু স ল ে ম া খ া ত ু ন m u s t a k ম ু স ্ ত া ক m u t k i ম ু ট ক ী n a a n d g a o n k a r ন ন ্ দ গ া ঁ ও ক া র n a b i n a ন ব ী ন া n a d a l o ন া দ া ল ো n a d u ন দ ু n a g a r h o l e ন গ র হ ো ল n a g a r k a r ন া গ র ক া র n a g i n a ন া গ ি ন া n a h a r u n ন া হ া ন ু র n a i m a ন ই ম া n a j e l a ন া জ ে ল া n a j e m ন া জ ে ম n a j r u l ন জ র ু ল n a k o d a r ন া ক ো দ া র n a m r a t a ন ম ্ র ত া n a n j i n g ন া ন জ ি ং n a n o w a l i a ন ্ য ন ো ও য় া ল ি য় া n a n t i e ন া ন ্ ট ি n a p i s a ন া প ি স া n a r e j a ন র ে জ া n a r g i s b e g a m ন া র গ ি স ব ে গ ম n a r m a d a ন র ্ ম দ া n a s a i ন া স া ই n a s e d ন া স ে দ n a s i ন া স ি n a s i r u n ন া স ি র ু ন n a s r a t ন স র ত n a s r e n ন া স র ে ন n a t h u r a m ন া থ ু র া ম n a v a b h a r a t ন ব ভ া র ত n a v a r e ন া ভ া র ে n a v b h a r a t ন ব ভ া র ত n e a g l e ন ে গ ল ে n e b u l a ন ে ব ু ল া n e k i s a ন ে ক ি স া n e o d y m i u m ন ি ও ড া ই ম ি য় া ম n e t ন ে ট n e w ন ি উ n e w m a n ন ি উ ম ্ য া ন n i b l e t t ন ি ব ল ে ট n i c h o l a s ন ি ক ো ল া স n i d h i r a m ন ি ধ ি র া ম n i e l s e n ন ি য় ে ল স ে ন n i h a r b i b i ন ি হ া র ব ি ব ি n i k u n j a ন ি ক ু ঞ ্ জ n i l a m ন ী ল া ম n i l a n t h a ন ি ল ন ্ থ n i l e ন ী ল n i l t u ন ি ল ্ ট ু n i m a i ন ি ম া ই n i m r o d ন ি ম র ো ড n i n a ন ি ন া n i p a ন ী প া n i r a ন ী র া n i r a j ন ী র জ n i r u b a l a ন ী র ু ব া ল া n i r u p a m ন ি র ু প ম n i s a t u n ন ি স া ত ু ন n i s h a t ন ি শ া ত n i w a i ন ি য় া ই n o r i e g a ন ো র ি য় ে গ n o r m a ন ো র ম া n o r w e g i a n ন র ও য় ে জ ি য় া ন n o s e m a ন ো স ে ম া n o y e s ন ো ও য় ে স n u m a n ন ু ম া ন n u m b e r ন া ম ্ ব া র n u p u r r a n i ন ু প ু র র া ণ ী n u r a l i ন ূ র আ ল ি n u r e j a m a l ন ু র ে জ া ম া ল n u r e j a m a n ন ু র ে জ া ম া ন n u r j a h a ন ু র জ া হ া ঁ n u r j h a n ন ু র ্ ঝ ন n u r j i m a ন ু র জ ি ম া n u r n i h a r b i b i ন ু র ন ি হ া র ব ি ব ি o b e d a u l l a ও ব ে দ ু ল ্ ল া o b u y a ও ব ু য় া o c e a n ও শ ে ন o i l ও য় ে ল o l a v ও ল া ভ o l i v e অ ল ি ভ o l i v i e r ও ল ি ভ ি য় া র o n অ ন o n e ও য় া ন o n t a r i o ও ন ্ ট া র ি ও o r d e r ও র ্ ড া র o r i n o c o ও র ি ন ো ক ো o r s o n ও র স ন o s c a r ও স ্ ক া র o s s e n m a r k t ও স ে ন ম া র ্ ক ট p a c h u g o p a l প া চ ু গ ো প া ল p a c i n o প া স ি ন ো p a h u প া হ ু p a l t u k u m a r প ল ্ ট ু ক ু ম া র p a m p a প ম ্ প া p a n a m i n t প া ন া ম ি ন ্ ট p a n d a b প া ণ ্ ড ব p a n d i t প ন ্ ড ি ত p a n i p a t প া ন ি প থ p a r a b i প র ব ী p a r b i n d a r প র ব ি ন ্ দ র p a r c h u r e প র চ ু র ে p a r e s h a প া র ে শ া p a r i m a l প র ি ম ল p a r k w a y প া র ্ ক ও য় ে p a r m i l a প র ম ি ল া p a r t h a n a প ্ র া র ্ থ ন া p a r v i n প র ভ ি ন p a t a g o n i a n প ট া গ ন ি য় া ন p a t i b a l a প ত ি ব া ল া p a u l o প া ও ল ো p e j a r i প ে য া র ী p e m g i r i k a r প ে ম গ ি র ি ক া র p h a r i d a n ফ র ি দ া ন p h a r i j u l ফ র ি জ ু ল p h a r o j a l i ফ র ো জ আ ল ি p h a r s i n a ফ া র স ি ন া p h a t a k ফ া ট ক p h a t e m a k h a t u n ফ া ত ে ম া খ া ত ু ন p h u l m a t i ফ ু ল ম ত ি p h u t t a r ফ ু ত ্ ত া র p i a প ি য় া p i n d u s প ি ন ্ ড া স p i t h a u r a g a r h প ি থ ৌ ্ র া গ ড় p i t t প ি ট p i x e l p l u s ফ ি জ ে ল প ্ ল া স p o e t s প ো য় ে ট স p o r t s d o w n প ো র ্ ট ড া উ ন p o s e n প ো স ে ন p o u n d প া উ ণ ্ ড p r a b h a k a r প ্ র ভ া ক র p r a b h u n a t h প ্ র ভ ূ ন া থ p r a b h u r a m প ্ র ভ ু র া ম p r a j a p a t i প ্ র জ া প ত ি p r a m a t h a প ্ র ম থ p r a m a t h a n a t h প ্ র ম থ ন া থ p r a n a b e s h প ্ র ন ব ে শ p r a s a n t a প ্ র স া ন ্ ত p r a t a p k u m a r প ্ র ত া প ক ু ম া র p r e m d h a r প ্ র ে ম ধ র p r e s i d e n c y প ্ র ে স ি ড ে ন ্ স ি p r e s i d e n t প ্ র ে স ি ড ে ন ্ ট p r i o r প ্ র ি ও র p r o d u c t s প ্ র ো ড া ক ্ ট স p r o f f i t t প ্ র ফ ি ট p r u t h প ্ র ু থ p s y c h i a t r y স া ই ক ি য় া ট ্ র ি p u j a প ূ জ া p u l s প া ল স p u n i প ু ন ী p u n i t a প ু ন ি ত া p u n j a b প া ঞ ্ জ া ব p u r a n j a n প ু র ঞ ্ জ ন p u s h k i n প ু শ ক ি ন p u s p a প ু স ্ প া p u t u l প ু ত ু ল q u r a n ক ো র া ন q w e s t ক ু ও য় ে ষ ্ ট r a b i র া ব ি r a b i l a l র ব ি ল া ল r a b i n a র ব ী ন া r a b i t a র ব ি ত া r a d a n a r a র স ে ন া র া r a d h a b a l a র া ধ া ব া ল া r a d h a n a g a r i র া ধ া ন গ র ী r a d h a n a t h র া ধ া ন া থ r a d h a p r a s a d র া ধ া প ্ র স া দ r a d o n র ে ড ন r a f a e l র া ফ ে ল r a f i u l l a র ফ ি উ ল ্ ল া r a g h a b র া ঘ ব r a g h u n a t h র থ ু ন া থ r a g i n i র া গ ি ন ী r a h i m র া হ ি ম r a h i n a র হ ি ন া r a i k i s o r র া ই ক ি শ ো র r a i k o t i র া ই ক ো ট ি r a j a d h y a k s h a র া জ া ধ ি য় া ক ্ স া r a j a n i b a l a র জ ন ী ব া ল া r a j k a m a l র া জ ক ম ল r a j m a র া জ ম া r a k e b a b i b i র া ক ে ব া ব ি ব ি r a k e t র ক ে ট r a m a n i b a l a র ম ন ী ব া ল া r a m c h a n d a r র া ম চ ন ্ দ র r a m d h a n র া ম ধ ন r a m j a n a l i র ম জ া ন আ ল ী r a m k a l i d e v i র া ম ক ল ি দ ে ব ী r a m k o l i র া ম ক ল ি r a m k r i p a l র া ম ক ৃ প া ল r a m m o h a n র া ম ম ো হ ন r a m p r a s a d র া ম প ্ র স া দ r a m s h a n k a r র া ম শ ঙ ্ ক র r a m s u r e s h র া ম স ু র ে শ r a m t a n u র া ম ত ন ু r a m u র া ম ু r a n a d h i r র ন ধ ী র r a n b i r র ন ব ী র r a n d র া ন ্ ড r a n e র া ন r a n g a n a t h র ঙ ্ গ ন া থ r a n g i d a র ঞ ্ জ ি দ া r a n j a n র ঞ ্ জ ন r a n t u র ন ্ ট ু r a n u r a n i র া ন ু র া ন ী r a s a l র া স ল r a s h m i র শ ্ ম ি r a s p a র া স প া r a t h e r র া থ ে র r a t h i k a n t a র ত ি ক া ন ্ ত r a t n e s h w a r র ত ্ ন ে শ ্ ব র r a t r a র ত ্ র া r a v e r k a r র া ভ ে র ক া র r a v i s h a n k a r র ব ি শ ঙ ্ ক র r a w l i n s র া উ ল ি ন r a w s o n র ো স ন r e a d র ি ড r e a l র ি য় ে ল r e b a t i m o h a n র ে ব ত ী ম ো হ ন r e k h a র ে খ া r e n u b a l a র ে ণ ু ব া ল া r e s h m a k h a t u n র ে শ ম া খ া ত ু ন r e v a র ে ভ া r h o n র ো ন r h o n e র ো ন r h y র া ই r i a l t o র া য় া ল ট ো r i c e র া ই স r i c h e l i e u র ি চ ে ল ি উ r i c h m o n d র ি চ ম ন ্ ড r i c h t e r s v e l d র ি চ ট া র স ভ ে ল ্ ড r i c k y র ি ক ি r i d g e র ি জ r i m র ি ম r i m a র ী ম া r i o র ি ও r i t a r a n i র ি ত া র া ন ী r o b i n s র ব ি ন স r o e n t g e n i u m র ো য় ে ন ্ ট জ ে ন ি য় া ম r o g e r র ো জ া র r o m e s h র ম ে শ r o m i o র ো ম ি ও r o n n i e র ো ন ্ ন ি r o s h n i h a r র ো শ ন ি হ া র r o u j a t u n র ও জ া ত ু ন r u b i j a n র ু ব ি জ া ন r u g g i e r o র ু জ ি র ো r u m a i র ু ম া ই r u m f o r d র ু ম ফ ো র ্ ড r u n u র ু ণ ু r u p a l i b i b i র ু প া ল ী ব ি ব ি r u p c h a n d র প চ া ঁ দ r u p u b a l a র ু প ু ব া ল া r u s h র ু শ r u s s র ু স r u t h e r f o r d i u m র ু থ া র ফ ো র ্ ড ি য় া ম s a a g u স া গ ু s a b a d h u স া ব া ধ ু s a b i t a স ব ি ত া s a b i t a r a n i স ব ি ত া র া ণ ী s a d i r স া দ ি র s a g i t t a r i u s স ্ য া জ ি ট ে র ি য় া স s a h a l p u r স া হ ল প ু র s a h a n স া হ া ন s a h a n a b i b i স া হ া ন া ব ি ব ি s a h a r a b i b i স া হ া র া ব ি ব ি s a h a s t r a b u d d h e স হ স ্ ত ্ র ব ু দ ্ ধ ে s a h e d a স া হ ে দ া s a i b a স া ই ব া s a i l e s h k u m a r শ ৈ ল ে শ ক ু ম া র s a i m a স া ই ম া s a j a d স া জ া দ s a j e t স া জ ে ত s a j i d a স া জ ি দ া s a j i m স া জ ি ম s a k a l স া ক া ল s a k i n a স ক ি ন া s a k i n a স া ক ি ন া s a l i m a l i স ে ল ি ম আ ল ি s a l m a k h a t u n স া ল ম া খ া ত ু ন s a l m a n স া ল ম া ন s a l t স ল ্ ট s a m a s t i p u r স ম স ্ ত ি প ু র s a m i n a স া ম ি ন া s a m u e l স ্ য া ম ু য় ে ল s a n c h i t স ঞ ্ চ ি ত s a n d o v a l স া ন ড ো ভ া ল s a n g b a d স ং ব া দ s a n j e e v a n i স ন জ ি ভ ন ি s a n t o s h স ন ্ ত ো শ s a p স ্ য া প s a p h a u r স া ফ ি উ র s a r a m a g o স া র া ম া গ ো s a r i m a n স র ি ম ন s a r i t a স র ি ত া s a r n a স া র ন া s a r o j a b i b i স া র ে জ া ব ি ব ি s a s k a t c h e w a n স ্ য া স ক ্ য া চ এ ও য় া ন s a t i n a t h স ত ী ন া থ s c h w a r z e n e g g e r স ো হ া র জ ে ন ে গ র s c o o t e r s স ্ ক ু ট া র স s e c c o m b e স ্ ক ো ম ্ ব s e i স ে ই s e k i s u i স ে ক ি স ু ই s e l i m স ে ল ী ম s e m i m স ে ম ি ম s e m n a n i স ে ম ন া ন ী s e m o n স ে ম ন s e r i b u স ে র ি ব ু s e r i f a n স ে র ি ফ া ন s e r j a h a n স ে র জ া হ া ন s e r l i n g স া র ল ি ং s e r v i c e স া র ্ ভ ি স s e v e n t i e s স ে ভ ে ন ্ ট ি স s h a c h i n a t h শ চ ী ন া থ s h a d o w শ া ড s h a g শ া গ s h a h a b u d d i n শ া হ া ব ু দ ্ দ ি ন s h a h b a z শ া হ ব া জ s h a h r a j শ া হ র া জ s h a k i n a শ া ক ি ন া s h a k t i শ ক ্ ত ি s h a k t i r a n j a n শ ক ্ ত ি র ঞ ্ জ ন s h a m i n a শ া ম ি ন া s h a n k a r b a l a শ ঙ ্ ক র ী ব া ল া s h a n k a r l a l শ ং ক র ল া ল s h a n t a k u m a r শ া ন ্ ত ক ু ম া র s h a n t i b r a t a শ া ন ্ ত ি ব ্ র ত s h a n t i s a d h a n শ া ন ্ ত ি স া ধ ন s h a r a n a n ষ ড় া ন ন s h a r m m i l a শ র ্ ম ্ ম ি ল া s h a s u n শ া স ু ন s h a s w a t i শ া শ ্ ব ত ী s h a t a b d i শ ত া ব ্ দ ী s h e a h a n স ে য় া ন s h e i k s a d e k স ে ক স া দ ে ক s h e l l শ ে ল s h e n a n d o a h শ ি ন ন ্ দ ে হ s h i b a শ ি ব া s h i b e n d r a শ ি ব ে ন ্ দ ্ র s h i b e s h w a r শ ি ব ে শ ্ ব র s h i b l a l শ ি ব ল া ল s h i b r a t a n শ ি ব র ত ন s h i n g শ ি ং s h i t a l p r a s a d শ ী ত ল প ্ র স া দ s h o e s শ ্ য ু s h o k a t a l i শ ও ক ত আ ল ি s h r a b a n i শ ্ র া ব ণ ী s h r a b a n t i শ ্ র া ব ন ্ ত ী s h r i b a s শ ্ র ী ব া স s h r i m a n শ ্ র ী ম া ন s h r i r u m a শ ্ র ী র ূ প া s h u b h a n k a r i শ ু ভ ঙ ্ ক র ী s h u b h r a d i p শ ু ভ ্ র দ ী প s i e m e n s স ি য় ে ম ে ন ্ স s i k k a স ি ক ্ ক া s i l v a s s a স ি ল ভ া স া s i m s স ি ম স s i n g a r স ি ঙ ্ গ া র s i r a p h a t স ি র া ফ ত ্ s i r w a l স ি র ও া ল s i t a d e b i স ি ত া দ ে ব ী s k i r r o w স ্ ক ি র ো s k r a m স ্ ক ্ র া ম s n e h a s h i s h স ্ ন ে হ া শ ী ষ s o c c e r স ো ক া র s o h a n স ো হ া ন s o l a y j a n স ো ল ে জ া ন s o l u t i o n স ল ি উ শ ন s o m b r e স ো ম ্ ব ্ র ে s o n a r স ো ন া র s o v a b a l a শ ো ভ া ব া ল া s o v i e t স ো ভ ি য় ে ত s r i n a g a r শ ্ র ী ন গ র s r i s h t i d h a r স ৃ ষ ্ ট ি ধ র s t a n d a r d স ্ ট া ন ্ ড া র ্ ড s t a n o v o i স ্ ট ্ য া ন ো ভ ো ই s t a r g a z e r স ্ ট া র গ ে জ া র s t e e স ্ ট ী s t e u b e n স ্ ট ে উ ব ে ন s t e v e n s স ্ ট ি ভ ে ন ্ স s t o n e s স ্ ট ো ন ্ স s t o r a স ্ ট ো র া s u b e x স ু ব ে ক ্ স s u b h a স ু ভ া s u b h e n d u স ু ভ ে ন ্ দ ু s u b r a স ু ব ্ র া s u d a n স ু দ া ন s u d e s h n a স ু দ ে ষ ্ ণ া s u d h a স ু ধ া s u d h a r a n i স ু ধ া র া ন ি s u k h l a l স ু খ ল া ল s u m a n c h a n d r a স ু ম ন চ ন ্ দ ্ র s u m a t r a স ু ম া ত ্ র া s u n a t r a স ু ন ে ত ্ র া s u n d a y স া ন ড ে s u o m e n l i n n a স ো ম ে ন ল ি ন া s u p a u l স ু প া ল s u p e k a r স ু প ক া র s u p e r i o r স ু প ি র ি য় র s u p r a t i k স ু প ্ র ত ী ক s u s i l স ু স ি ল s u t i r t h a স ু ত ী র ্ থ s u v e n স ু ভ ে ন s w a t i স ্ ব া ত ী s w i f t s u r e স ু ই ফ ট স ি য় ো র s w i n g স ু ই ং t a h a m i n a ত হ ম ি ন া t a h e r u n ত া হ ে র ু ন t a j e n ত া জ ে ন t a k u ট া ক ু t a l a ত ল া t a m m y ট ম ি t a n b i r ত ন ব ী র t a n d r i m a ত ন ্ দ ্ র ি ম া t a n e j a ত া ন ে জ া t a n t a l u m ট ে ন ্ ট া ল া ম t a p a t i ত প ত ী t a r a ত া র া t a r a n g i n i ত র ঙ ্ গ ি ন ী t a r u n k u m a r ত র ু ণ ক ু ম া র t a t r a ত া ত ্ র া t a v s e ত া ভ স ে t e j b a h a d u r ত ে জ ব া হ া দ ু র t e l a n g ত ে ল া ঙ ্ গ t e l e f ó n i c a ট ে ল ি ফ ো ন ি ক t e l f a i r ট ে ল ফ ে য় া র t e m p l o ট ে ম ্ প ল ো t e r k i a n a ট া র ক ি য় া ন া t h a k a r e থ া ক র ে t h a t t e থ া ট ্ ট ে t h e o d o r e থ ্ র ি ও ড ো র t h i k r i a থ ি ক র ি য় া t h u n a k a d a v u থ ু ন া ক া দ া ভ ু t h y s s e n k 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function [stk,txt,top]=sci_bone() // Copyright INRIA txt=[] if rhs<1 then stk=list('(7*graycolormap() + hotcolormap()*[0 0 1;0 1 0;1 0 0])/8','0','32','3','1') else if isname(stk(top)(1)) then n=stk(top)(1) else n=gettempvar(1) txt=n+'='+stk(top)(1) end stk=list('(7*graycolormap('+n+') + hotcolormap('+n+')*[0 0 1;0 1 0;1 0 0])/8','0',n,'3','1') end
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function output=Trans(x,y,z) output = [... 1, 0, 0, x; 0, 1, 0, y; 0, 0, 1, z; 0, 0, 0, 1] endfunction function output=Rotx(alpha_deg) alpha = alpha_deg * %pi / 180 output = [... 1, 0, 0, 0; 0, cos(alpha), -sin(alpha), 0; 0, sin(alpha), cos(alpha), 0; 0, 0, 0, 1] endfunction function output=Roty(theta_deg) theta = theta_deg * %pi / 180 output = [... cos(theta), 0, sin(theta), 0; 0, 1, 0, 0; -sin(theta), 0, cos(theta), 0; 0, 0, 0, 1] endfunction function output=Rotz(theta_deg) theta = theta_deg * %pi / 180 output = [... cos(theta), -sin(theta), 0, 0; sin(theta), cos(theta), 0, 0; 0, 0, 1, 0; 0, 0, 0, 1] endfunction function output=Tn_1n(a, alpha, d, theta) output = Trans(a,0,0) * Rotx(alpha) * Trans(0,0,d) * Rotz(theta) endfunction function T=T06(t1, t2, t3, t4, t5, t6) // a, alpha, d, theta T = Tn_1n(0, 0, 0, t1) ... // T01 * Tn_1n(0, -90, 1, t2) ... // T12 * Tn_1n(1, 0, 0, t3) ... // T23 * Tn_1n(1, -90, 1, t4) ... // T34 * Tn_1n(0, 90, 0, t5) ... // T45 * Tn_1n(0, -90, 0, t6); // T56 endfunction function R=zyz_euler2R(phi, theta, psi) R = Rotz(phi) * Rotx(theta) * Rotz(psi) endfunction // リンクパラメーター // i 1 2 3 4 5 6 //------------------------------------- a = [ 0, 0, 1, 1, 0, 0] alpha = [ 0, -90, 0, -90, 90, -90] d = [ 0, 1, 0, 1, 0, 0]
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// Grob's Basic Electronics 11e // Chapter No. I // Example No. I_17 clc; clear; // Show the keystrokes for multiplying 40*10^-3 by 5*10^6. // Given data A = 40*10^-3; // Variable 1 B = 5*10^6; // Variable 2 C = A*B; disp (C,'The multiplication of 40*10^-3 by 5*10^6 is') disp ('i.e 200.000*10^03 OR 200E03')
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clear clc //Example 17.7 disp('Example 17.7') //Note that for solving this example there are two ways //One is to do this in xcos which is very easy to do //and one can learn the same from example 17.5's solution //To get the controller outputs at every point in xcos //just add a scope to the leg connecting controller and //zero order hold unit before the continuous time block //The other method is given here so that the reader learns more //of what all can be done in scilab //Here we deal with the controller in time domain rather than z domain z=%z; N=0; a1=-1.5353; a2=0.5866; b1=0.0280; b2=0.0234; G=(b1+b2*z^-1)*z^(-N-1)/(1+a1*z^-1+a2*z^-2); h=0;//no process delay s=%s; lamda=1; Y_Ysp=1/(lamda*s+1);//exp(-h*s) is one because h=0 Eqn 17-62 Ts=1;//sampling time A=exp(-Ts/lamda); //=============Now we do calculations for modified Dahlin controller========// //==========================================================================// //Page 362 just after solved example G_DC_bar=(1-1.5353*z^-1+0.5866*z^-2)/(0.0280+0.0234)*0.632/(1-z^-1); ysp=[zeros(1,4) ones(1,16)] Gz_CL=syslin('d',G*G_DC_bar/(G*G_DC_bar+1));//Closed loop discrete system yd=flts(ysp,Gz_CL) //Discrete Output due to set point change //plot(yd) e=ysp-yd; //Since we know set point and the output of the system we can use //this info to find out the errors at the discrete time points //note that here we have exploited in a very subtle way the property of a //discrete system that only the values at discrete points matter for //any sort of calculation //Now this error can be used to find out the controller effort e_coeff=coeff(numer(G_DC_bar)); p_coeff=coeff(denom(G_DC_bar)); n=20;//Time in minutes discretized with Ts=1 min p=zeros(1,n); //Controller effort for k=3:n p(k)=(-p_coeff(2)*p(k-1)-p_coeff(1)*p(k-2)+e_coeff*[e(k-2) e(k-1) e(k)]')/p_coeff(3); end subplot(3,2,2) plot2d2(p) xtitle('Fig 17.12 (a)','Time(min)','Modified Dahlin Controller effort (p)'); //Now we simulate the continuous version of the plant to get output in between //the discrete point. This will help us ascertain the efficacy of the controller //at points other than the discrete points //Note that this is required to be checked because deltaT=1. had it been much //smaller like 0.01 it would have been a good approx to a continuous system //thus making this interpolation check redundant s=%s; Gp=syslin('c',1/(5*s+1)/(3*s+1));//continuous time version of process Ts_c=0.01;//sampling time for continuous system t=Ts_c:Ts_c:length([0 p])*Ts; p_c=matrix(repmat([0 p],Ts/Ts_c,1),1,Ts/Ts_c*length([0 p]))//hack for zero order hold //p_c means controller effort which is continous yc=csim(p_c,t,Gp); subplot(3,2,1) plot(t,yc) plot2d2(ysp) legend("Modified Dahlin Controller","Set point",position=4) xtitle('Fig 17.12 (a)','Time(min)','Output'); //=============Now we do calculations for PID-BD controller========// //==========================================================================// G_BD=4.1111*(3.1486-5.0541*z^-1+2.0270*z^-2)/(1.7272-2.4444*z^-1+0.7222*z^-2) ysp=[zeros(1,4) ones(1,16)] Gz_CL=syslin('d',G*G_BD/(G*G_BD+1));//Closed loop discrete system yd=flts(ysp,Gz_CL) //Discrete Output due to set point change //plot(yd) e=ysp-yd; //Since we know set point and the output of the system we can use //this info to find out the errors at the discrete time points //note that here we have exploited in a very subtle way the property of a //discrete system that only the values at discrete points matter for //any sort of calculation //Now this error can be used to find out the controller effort e_coeff=coeff(numer(G_BD)); p_coeff=coeff(denom(G_BD)); n=20;//Time in minutes discretized with Ts=1 min p=zeros(1,n); //Controller effort for k=3:n p(k)=(-p_coeff(2)*p(k-1)-p_coeff(1)*p(k-2)+e_coeff*[e(k-2) e(k-1) e(k)]')/p_coeff(3); end subplot(3,2,4) plot2d2(p) xtitle('Fig 17.12 (b)','Time(min)','BD Controller effort (p)'); //Now we simulate the continuous version of the plant to get output in between //the discrete point. This will help us ascertain the efficacy of the controller //at points other than the discrete points //Note that this is required to be checked because deltaT=1. had it been much //smaller like 0.01 it would have been a good approx to a continuous system //thus making this interpolation check redundant s=%s; Gp=syslin('c',1/(5*s+1)/(3*s+1));//continuous time version of process Ts_c=0.01;//sampling time for continuous system t=Ts_c:Ts_c:length([0 p])*Ts; p_c=matrix(repmat([0 p],Ts/Ts_c,1),1,Ts/Ts_c*length([0 p]))//hack for zero order hold //p_c means controller effort which is continous yc=csim(p_c,t,Gp); subplot(3,2,3) plot(t,yc) plot2d2(ysp) legend("PID-BD Controller","Set point",position=4) xtitle('Fig 17.12 (b)','Time(min)','Output'); //=============Now we do calculations for Vogel Edgar Dahlin controller========// //==========================================================================// Y_Ysp_d=(1-A)*z^(-N-1)/(1-A*z^-1)*(b1+b2*z^-1)/(b1+b2); //Vogel Edgar Eqn 17-70 G_VE=1/G*(Y_Ysp_d)/(1-Y_Ysp_d); //Eqn 17-61 ysp=[zeros(1,4) ones(1,16)] Gz_CL=syslin('d',G*G_VE/(G*G_VE+1));//Closed loop discrete system yd=flts(ysp,Gz_CL) //Discrete Output due to set point change //plot(yd) e=ysp-yd; //Since we know set point and the output of the system we can use //this info to find out the errors at the discrete time points //note that here we have exploited in a very subtle way the property of a //discrete system that only the values at discrete points matter for //any sort of calculation //Now this error can be used to find out the controller effort e_coeff=coeff(numer(G_VE)); p_coeff=coeff(denom(G_VE)); n=20;//Time in minutes discretized with Ts=1 min p=zeros(1,n); //Controller effort for k=3:n p(k)=(-p_coeff(2)*p(k-1)-p_coeff(1)*p(k-2)+e_coeff*[e(k-2) e(k-1) e(k)]')/p_coeff(3); end subplot(3,2,6) plot2d2(p) xtitle('Fig 17.12 (c)','Time(min)','Vogel Edgar Controller effort (p)'); //Now we simulate the continuous version of the plant to get output in between //the discrete point. This will help us ascertain the efficacy of the controller //at points other than the discrete points //Note that this is required to be checked because deltaT=1. had it been much //smaller like 0.01 it would have been a good approx to a continuous system //thus making this interpolation check redundant s=%s; Gp=syslin('c',1/(5*s+1)/(3*s+1));//continuous time version of process Ts_c=0.01;//sampling time for continuous system t=Ts_c:Ts_c:length([0 p])*Ts; p_c=matrix(repmat([0 p],Ts/Ts_c,1),1,Ts/Ts_c*length([0 p]))//hack for zero order hold //p_c means controller effort which is continous yc=csim(p_c,t,Gp); subplot(3,2,5) plot(t,yc) plot2d2(ysp) legend("Vogel Edgar Controller","Set point",position=4) xtitle('Fig 17.12 (c)','Time(min)','Output'); mprintf("Note that there is some very slight difference between the \n... curves shown in book and that obtained from scilab\n... this is simply because of more detailed calculation in scilab ")
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// Example 4.15.7 page 4.40 clc; clear; NA=0.3; //numerical aperture n1=1.45; //refractive index M=250; //material dispertion parameter in ps/nm/km L=1; //length BW=50; //Bandwidth in nm c=3d8; //speed of light sigmaLamda=BW*L; sigmaM=sigmaLamda*L*M*10^-12; sigmaS=10^3*L*(NA)^2/(4*sqrt(3)*n1*c); sigmaT=sqrt(sigmaM^2+sigmaS^2); //computing total RMS pulse broadning BLP=0.2/sigmaT; //computing bandwidth length product sigmaT=sigmaT*10^9; sigmaM=sigmaM*10^9; sigmaS=sigmaS*10^9; BLP=BLP/10^6; printf("\nTotal RMS pulse broadning is %.1f ns/km.\nBandwidth length product is %.1f MHz.km",sigmaT,BLP);
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ex4.sce
clear clc disp('the first row of A denotes the roll no. of students form 1 to 10 and that of B denotes form 11 to 20') A(1,:)=[1 2 3 4 5 6 7 8 9 10]; B(1,:)=[11 12 13 14 15 16 17 18 19 20]; disp('the second row of A annd B denotes the corresponding marks in physics ') A(2,:)=[53 54 52 32 30 60 47 46 35 28]; B(2,:)=[25 42 33 48 72 51 45 33 65 29]; disp('the third row denotes the corresponding marks in chemistry ') A(3,:)=[58 55 25 32 26 85 44 80 33 72]; B(3,:)=[10 42 15 46 50 64 39 38 30 36]; disp('median marks in physics =arithmetic mean of 10 thand 11 th student =') (28+25)/2 disp('median marks in chemistry =arithmetic mean of 10 thand 11 th student =') (72+10)/2
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utlflexc.tst
begin raise utl_file.invalid_&&firstparm; exception when others then p.l(sqlcode); p.l(sqlerrm); end; /*====================================================================== | Supplement to the fifth edition of Oracle PL/SQL Programming by Steven | Feuerstein with Bill Pribyl, Copyright (c) 1997-2009 O'Reilly Media, Inc. | To submit corrections or find more code samples visit | http://oreilly.com/catalog/9780596514464/ */
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nadir-aitlahmouch/Grenoble-inp-Ensimag
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dif-conv-2D.sce
dx=Lx/Nx; dy=Ly/Ny; exec("dif-conv-f.sce") maillage_x=linspace(0,(Nx-1)/Nx*Lx,Nx)'; maillage_y=linspace(0,(Ny-1)/Ny*Ly,Ny)'; cx=zeros(Ny,Nx); //composante x de la vitesse de convection cy=zeros(Ny,Nx); //composante y de la vitesse de convection phi=zeros(Ny,Nx); //fonction à calculer phi_i=zeros(Ny,Nx); //condtion initiale //------------------------------------------ //TODO remplir les tableaux cx cy phi phi_i //------------------------------------------ for i=1:Ny for j = 1:Nx c=conv((i-1)*dy,(j-1)*dx); cx(i,j)=c(1); cy(i,j)=c(2); phi_i(i,j) = phi_0((i-1)*dy,(j-1)*dx); end end // initialisation de phi phi = phi_i dt=min(calcul_dt(cx,dx),calcul_dt(cy,dy)); Nt=floor(Tf/dt); for k=1:Nt phi = solveur_2D(phi, cx, cy, Nx, Ny, kappa, dt, dx, dy); end //Graphe initial G_init = scf() surf(maillage_x, maillage_y, phi_i) G_init.color_map = jetcolormap(100) //Graphe final G_final = scf() surf(maillage_x, maillage_y, phi) G_final.color_map = jetcolormap(100)
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Ex4_10.sce
clc // Example 4.10.py // Consider an infinitely this flat plate at 5 degrees angle of attack in a Mach // 2.6 free stream. Calculate the lift and drag coefficients. // // Variable declaration alpha = 5.0 // angle of attack in degrees (in degrees) M1 = 2.6 // freestream mach number gamma1 = 1.4 // ratio of specific heats // Calculations // from table A5 for M1 = 2.6 v1 = 41.41 // (in degrees) v2 = v1 + alpha // (in degrees) // from table A5 for v2 = 46.41 deg M2 = 2.85 // from A1 for M1 = 2.6 po1_by_p1 = 19.95 // from A1 for M2 = 2.85 po2_by_p2 = 29.29 p2_by_p1 = 1/po2_by_p2 * po1_by_p1 // p2/p1 = p2/po2 * po2/po1 * po1/p1 and po2 = po1 // from theta-beta1-M diagram for M1 = 2.6 theta = 5.0 // deflection (in degrees) beta1 = 26.5 // shock angle (in degrees) Mn1 = M1*sin(beta1*%pi/180) // mach number normal to the shock // from table A2 for Mn1 = 1.16 p3_by_p1 = 1.403 // p3/p1 cl = 2.0/(gamma1*M1*M1)*(p3_by_p1 - p2_by_p1)*cos(alpha*%pi/180) // coefficient of lift cd1 = 2.0/(gamma1*M1*M1)*(p3_by_p1 - p2_by_p1)*sin(alpha*%pi/180) // coefficient of drag // Results printf("\n Lift coefficient : %.3f",(cl)) printf("\n Drag coefficient : %.4f",(cd1))
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Ex9_1.sce
clc// // // //Variable declaration h=6.62*10^-34; //planck's constant(J sec) c=3*10^8; //velocity of light(m/sec) Eg=1.43*1.6*10^-19; //energy gap(J) //Calculation lamda=h*c*10^6/Eg; //wavelength of radiation(micro m) //Result printf("\n wavelength of radiation is %0.3f micro m",lamda)
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eg3_2.sce
m0 = 0.91 * 10^-30; //in kg m = 0.26*m0; //effective mass E = 50*10^-3; //optical phonon energy in eV t = 10^-13; //carrier scattering relaxation time at 300K q = 1.6*10^-19; kBT = 26*10^-3; //in eV vd = (2*q*(E-1.5*kBT)/m)^0.5; disp(vd, "Drift velocity (in m/s) = ") ef = vd*m/t/q; //electric field in V/cm disp(ef,"Electric field(in V/m) =")
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//Example 6.9 clc clear x = 0.1:0.1:0.5; y = [1.4 1.56 1.76 2 2.28]; n = length(x); del = %nan*ones(n,5); del(:,1) = y'; for j = 2:5 for i = 1:n-j+1 del(i,j) = del(i+1,j-1) - del(i,j-1); end end del(:,1) = []; X = poly(0, "X"); h = x(2) - x(1); p = (X-x(1)) / h; x0 = x(1); y0 = y(1); dely0 = del(1,:); Y = y0; for i = 1:length(dely0) t = 1; for j = 1:i t = t * (p-j+1); end Y = Y + t*dely0(i)/factorial(i); end Y = round(Y*10^2)/10^2; disp(Y,"Required Newton''s Interpolating Polynomial:")
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Ex4_6.sce
clc //initialisation of variables r=2000*10^-3//liters/min s=0.85 d=10*10^-2//cm d1=3*10^-2//m p=6.5//MPa g=9.8//ft a=1.02*10^-4//m^3/N p1=780.92//m b=6.5*10^6//N/m^2 //CALCULATIONS V1=(4*(r)*(1/60))/(%pi)*(d)^2//m/s V2=(4*(r)*(1/60))/((%pi/(d1)^2))//m/s P1=((a*b)/s)+((V1)/(2*g))+(V1/(2*g)) P2=sqrt((V2)/(2*g))/((a/s))/2//MPa //RESULTS printf('The work is done or energy dissipated from the system is=% f MPa',P2)
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centrallimit.sce
clc; // number of repetition repeat=10; // draw dice 10 times. and repeat it. X=grand(1000,repeat,'uin',1,6); // avarage of repetition R=mean(X,'c'); // plot histgram histplot([0:0.1:6],R); title="Frequency distribution of dice face with " +string(repeat)+" roll(s)"; xtitle(title,"dice face","Frequency"); avg=3.5 s=sqrt(2.92/repeat); x=[0:0.01:6]; plot(x,(1/(s*sqrt(2*%pi)))*exp(-((avg-x).^2)/(2*s^2)));
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2_3.sce
////Variable Declaration Part d m = 1.5 dT = 14.2 //Change in temperature of water, °C or K cp = 4.18 //Specific heat of water at constant pressure, J/(g.K) //Calculations qp = m*cp*dT //Results printf("\n Heat removed by water at constant pressure %4.2f kJ",qp)
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<?xml version="1.0" encoding="utf-8"?> <test> <description>Project2D Quad Orthogonal basis P=4 Q=5</description> <executable>LocProject2D</executable> <parameters>4 1 1 6 6 7 7 0.0 0.0 1.0 0.0 1.0 1.0 0.0 1.0</parameters> <metrics> <metric type="L2" id="1"> <value tolerance="1e-12">2.06086e-15</value> </metric> <metric type="Linf" id="2"> <value tolerance="1e-12">7.10543e-15</value> </metric> </metrics> </test>
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test_dao.tst
PL/SQL Developer Test script 3.0 88 declare a anydata; obj xxdoo.xxdoo_cntr_contractor_typ; coll xxdoo.xxdoo_cntr_contractors_typ; l_dummy pls_integer; dao xxdoo.xxdoo_db_dao_typ; x xmltype := xmltype('<content> <id>1</id> <name1>Lenovo</name1> <type>Vendor</type> <sites> <site> <id>1</id> <contractor_id>1</contractor_id> <role>Ship to</role> <address> <id>1</id> <country> <id>RU</id> <name>Russian Federation</name> <localizedName>Russia</localizedName> </country> <postal_code>111111</postal_code> <addr_line>Moscow</addr_line> </address> <siteAccounts> <siteAccount> <id>1</id> <bankAccount> <id>1</id> <siteId>1</siteId> <accountNum>10101010101</accountNum> </bankAccount> <siteId>1</siteId> </siteAccount> </siteAccounts> </site> <site> <id>2</id> <contractor_id>1</contractor_id> <role>Bill to</role> <address> <id>1</id> <country> <id>RU</id> <name>Russian Federation</name> <localizedName>Russia</localizedName> </country> <postal_code>111111</postal_code> <addr_line>Moscow</addr_line> </address> <accounts/> </site> </sites> </content> '); begin dbms_output.put_line(rpad('-',30,'-')); dbms_output.put_line('Object'); a := anydata.ConvertObject(obj); dao := xxdoo.xxdoo_db_dao_typ(a); obj := xxdoo.xxdoo_cntr_contractor_typ(dao.get_object(1)); dbms_output.put_line(xmltype.createxml(obj).getClobVal); --return; dbms_output.put_line(rpad('-',30,'-')); dbms_output.put_line('Load'); a := dao.load(x); obj := xxdoo.xxdoo_cntr_contractor_typ(a); dbms_output.put_line(xmltype.createxml(obj).getClobVal); obj.name := case when obj.name = 'XEROX' then 'Lenovo' else 'XEROX' end; dao.put(obj.get_anydata); -- dbms_output.put_line(rpad('-',30,'-')); dbms_output.put_line('Collection'); dao.query.w('rownum',3,'<'); dao.query.o('name'); a := dao.get; l_dummy := a.getCollection(coll); for i in 1..coll.count loop dbms_output.put_line(xmltype.createxml(coll(i)).getClobVal); end loop; end; 0 0
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//Chapter-2,Example2_5,pg 2_12 n=4 Vofs=5 Res=Vofs/((2^n)-1) D1=bin2dec('1000') Vo1=Res*D1 D2=bin2dec('1111') Vo2=Res*D2 printf("output voltage1\n") printf("Vo1=%.2f V\n",Vo1) printf("output voltage2\n") printf("Vo2=%.2f V\n",Vo2)
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//Chapter 27 clc //Example 10 //given h=6.63*10^-34//js v=5*10^3 //speed of the electron in m/s m_e=9.11*10^-31 // mass of electron in Kg p=m_e*v delta_p=0.00300*p //Uncertainity principle states delta_x*delta_p >=h/(4*%pi) delta_x=h/(4*%pi*delta_p) disp(delta_x,"Uncertainity in position of electron in Meters is ")
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//example 8.2 clc; funcprot(0); // Initialization of Variable h1=2758.0; h2=1939.3; h3=173.88; h4=h3+8.06/0.85; neta=(h1-h2-h4+h3)/(h1-h4); disp(neta*100,"thermal efficiency in %"); mdot=100*1000*3600/(h1-h2-h4+h3); disp(mdot,"mass flow rate in kg/h"); Qindot=mdot*(h1-h4)/3600/1000; disp(Qindot,"energy inflow rate in MW"); Qoutdot=mdot*(h2-h3)/3600/1000; disp(Qoutdot,"energy outflow rate in MW"); mcwdot=mdot*(h2-h3)/(146.68-62.99); disp(mcwdot,"mass flow rate in kg/h"); clear()
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// Copyright (C) 2015 - IIT Bombay - FOSSEE // // This file must be used under the terms of the CeCILL. // This source file is licensed as described in the file COPYING, which // you should have received as part of this distribution. The terms // are also available at // http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt // Author: Samiran Roy // Organization: FOSSEE, IIT Bombay // Email: toolbox@scilab.in // function [outputImg] = gabor(wavelength,orientation) // This function creates a Gabor filter. // // Calling Sequence // [outputImg] = gabor(wavelength,orientation) // // Parameters // wavelength : It is the wavelength of sinusoid, specified as a numeric scalar or vector, in pixels/cycle. // orientation : It is the orientation of filter in degrees, specified as a numeric scalar in the range [0 180], where the orientation is defined as the normal direction to the sinusoidal plane wave. // outputImg : The Gabor filter. // // Description // It creates a Gabor filter with the specified wavelength (in pixels/cycle) and orientation (in degrees). If you specify wavelength or orientation as vectors, gabor returns an array of gabor objects, called a filter bank, that contain all the unique combinations of wavelength and orientation. For example, if wavelength is a vector of length 2 and orientation is a vector of length 3, then the output array is a vector of length 6. // // Examples // // Create an array of Gabor filters. // wavelength = 20; // orientation = 45; // a = gabor(wavelength, orientation); // // Authors // Samiran Roy outputList = raw_gabor(wavelength,orientation); for i=1:size(outputList) outputImg(:,:,i)=outputList(i) end endfunction
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[[0,1,0,-1],[0,2,0,1],[1,0,-1,0],[1,0,2,0]] [0,1,0,1]*3 [7,17,14,20] [26,55,78,87] [21,43,84,88]*3 [124,251,620,635] [215,433,1290,1308] [114,229,798,805]*3 [[0,1,0,1],[0,2,0,-1],[1,0,-2,0],[1,0,1,0]] [2,1,-1,2] [3,5,4,6]*3 [28,53,75,84] [65,127,248,260] [42,83,205,210]*3 [217,431,1284,1302] [344,685,2387,2408] #---> reslines=2
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// Group_13: Bhargava B // Surya K // S K Savant // Question: // To generate and plot a sinusoidal sequence x(n)=cos(a\pi n) 0<=n<=N 0<=a<=1 exec("sinusoidal_vector.sci",-1) function[]=plotsinusoidal(a,N) nvec=linspace(0,N,N+1) xset('window',55) title('Sinusoidal sequence') xlabel('n') ylabel('sin(a*pi*n)') plot(nvec,sinusoidalvec(a,N)) endfunction
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clc; p=15;//bar V=6;//m^3; R=0.287; T=313.5; y=1.4 m=p*V/(R*T); p2=12;//bar T2=T/[(p/p2)^((y-1)/y)]; m2=p2*V*10^5/(R*T2*10^3); disp("mass of air left"); disp("kg",m2)
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load ConditionalZeroAndNot16.hdl, output-file ConditionalZeroAndNot16.out, compare-to ConditionalZeroAndNot16.cmp, output-list in%B1.16.1 nin%B1.1.1 zin%B1.1.1 out%B1.16.1; set in %B0101010101010101, set nin 0, set zin 0, eval, output; set in %B0101010101010101, set nin 1, set zin 0, eval, output; set in %B0101010101010101, set nin 0, set zin 1, eval, output; set in %B0101010101010101, set nin 1, set zin 1, eval, output;
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clc p1=7*10^5; //N/m^2 T1=873; //K p2=1.05*10^5; //N/M62 n=1.25; m=1; //kg R=0.287; cp=1.005; T2=T1*(p2/p1)^((n-1)/n); // At constant temperature from 1 to A ds_1A=R*log(p1/p2); // At constant pressure from A to 2 ds_2A=cp*log(T1/T2); ds_12=ds_1A - ds_2A; disp("Increase in entropy = ") disp(ds_12) disp("kJ/kg.K")
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clc //initialisation of variables u= 80 //ft/sec n= 62 r= 1/4 v= 11 //ft^3 w= 62.3//lbf/ft^3 p= 2 //lbf/in^2 //CALCULATIONS uw= u*n/(r*v*w) R= v*w*(uw/u)^2 P= r^2*p/R //RESULTS printf (' water velocity= %.f ft/sec',uw) printf (' \n pressure drop= %.5f lbf/in^2 per ft',P)
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// Calculating the total commutator losses clc; disp('Example 9.34, Page No. = 9.92') // Given Data P = 800;// Power rating (in kW) V = 400;// Voltage rating (in Volts) rpm = 300;// r.p.m. p = 10;// Number of poles Dc = 1;// Commutator diameter (in meter). Since 100 cm = 1 meter u = 0.23;// Co-efficient of friction Pb = 14.7;// Brush pressure (in kN per meter square) J = 0.075;// Current density in brushes (in A per mm square) Vcb = 2.2;// Total brush contact drop (in Volts) // Calculation of the total commutator losses n = rpm/60;// r.p.s. Ia = P*10^(3)/V;// Armature current (in Ampere) Ib = 2*Ia/p;// Current per brush arm (in Ampere) Ab = Ib/J;// Brush area per brush arm (in mm square) AB = p*Ab*10^(-6);// Total brush area on the commutator (in meter square) Vc = %pi*Dc*n;// Peripheral speed (in meter per second) Wcf = u*Pb*10^(3)*AB*Vc;// Brush friction loss (in Watts) Wcb = Ia*Vcb;// Brush contact loss (in Watts) disp(Wcf+Wcb,'Total commutator losses (Watts)='); //in book answer is 7230 Watts. The answers vary due to round off error
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function [x,y,typ]=pfet_gldn(job,arg1,arg2) // Copyright INRIA x=[];y=[];typ=[]; select job case 'plot' then standard_draw(arg1) case 'getinputs' then //** GET INPUTS [x,y,typ]=standard_inputs(arg1) case 'getoutputs' then [x,y,typ]=standard_outputs(arg1) case 'getorigin' then [x,y]=standard_origin(arg1) case 'set' then x=arg1; graphics=arg1.graphics;exprs=graphics.exprs model=arg1.model; if size(exprs,'*')==1 then exprs=[exprs;sci2exp(0)];end // compatibility while %t do [ok,gain,over,exprs]=getvalue('Set gain block parameters',.. ['Gain';.. 'Do On Overflow(0=Nothing 1=Saturate 2=Error)'],.. list('mat',[-1,-1],'vec',1),exprs) if ~ok then break,end if gain==[] then message('Gain must have at least one element') else model.ipar=over // temporary storage removed in job compile model.opar(1)=gain ot=do_get_type(gain) if ot==1 then ot=-1 elseif ot==2 then message("Complex type is not supported"); ok=%f; end if ok then in=2 out=1 it=-ones(in,1) ot=-ones(out,1) inp=[-[1:in]',ones(in,1)] oup=[-[1:out]',ones(out,1)] [model,graphics,ok]=set_io(model,graphics,... list(inp,it),... list(oup,ot),[],[]) end if ok then graphics.exprs=exprs x.graphics=graphics;x.model=model break end end end case 'compile' then model=arg1 ot=model.intyp if model.opar==list() then gain=model.rpar(1) else gain=model.opar(1) end over=model.ipar model.ipar=[]; if ot==1 then model.rpar=double(gain(:)); model.opar=list(); model.sim=list('ota_c',5); else if ot==2 then error("Complex type is not supported"); else select ot case 3 model.opar(1)=int32(model.opar(1)) supp1='i32' case 4 model.opar(1)=int16(model.opar(1)) supp1='i16' case 5 model.opar(1)=int8(model.opar(1)) supp1='i8' case 6 model.opar(1)=int32(model.opar(1)) supp1='ui32' case 7 model.opar(1)=int16(model.opar(1)) supp1='ui16' case 8 model.opar(1)=int8(model.opar(1)) supp1='ui8' else error("Type "+string(ot)+" not supported.") end select over case 0 supp2='n' case 1 supp2='s' case 2 supp2='e' end end model.sim=list('gainblk_'+supp1+supp2,4) end x=model case 'define' then model=scicos_model() junction_name='nfet'; funtyp=4; model.sim=list(junction_name,funtyp) model.in=[-1;-1] model.in2=[-2;-3] model.intyp=[1 1] model.out=-1 model.out2=0 model.outtyp=-1 model.evtin=[] model.evtout=[] model.state=[] model.dstate=[] model.rpar=[] model.ipar=[] model.blocktype='c' model.firing=[] model.dep_ut=[%t %f] label=[sci2exp(2)]; gr_i=['text=[''Src'';'' Gate''];';'xstringb(orig(1),orig(2),text,sz(1),sz(2),''fill'');'] x=standard_define([6 3],model,label,gr_i) end endfunction
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// Exa 3.12 clc; clear; close; format('v',5) // Given data Im = 42.42;// in A omega = 628;// in rad/sec t = 1/6.977;// in sec assumed i = Im*sind(omega*t);// in A disp(i,"The maximum value of current in A is"); // omega = 2*%pi*f; f = omega/(2*%pi);// in Hz disp(f,"The frequency in Hz is"); Irms = Im/(sqrt(2));// in A disp(Irms,"The rms value in A is"); Iav = (2*Im)/%pi;// in A disp(Iav,"The average value in A is"); k_f = Irms/Iav; disp(k_f,"The form factor is");
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//<s>=%sslss(d1,s2) // //! [a2,b2,c2,d2,x2,dom2]=s2(2:7), s=list('lss',a2,b2,c2,d1-d2,x2,dom2), //end
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//Zo of a two wire transmission line //given clc L=1D-3//H/Km C=0.25D-6//F/Km Zo=sqrt(L/C)//ohm Zo=round(Zo*100)/100///rounding off decimalssc disp(Zo,'the Zo for two wire transmission line in ohm:')//ohm
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clear; clc; //Example - 8.7 //Page number - 292 printf("Example - 8.7 and Page number - 292\n\n"); //Given m = 0.6;//[kg/s] - mass flow rate T_low = -20+273.15;//[K] - Temperature at which vapour enters the compressor T_high = 30+273.15;//[K] - Temperature at which vapour leaves the condenser //From saturated refrigeration-12 tables we get,at -20 C H_1 = 178.74;//[kJ/kg] - (H_1 = H_vap) P_1 = 0.15093;//[MPa] - (P_1 = P_sat) P_4 = P_1; S_1 = 0.7087;//[kJ/kg-K] - (S_1 = S_vap) S_2 = S_1; //At 30 C P_2 = 0.7449;//[MPa] - (P_2 = P_sat) P_3 = P_2; H_3 = 64.59;//[kJ/kg] - (H_3 = H_liq) H_4 = H_3; S_3 = 0.24;//[kJ/kg-K] - (S_3 = S_liq) //It is assumed that presssure drop in the evaporator and condenser are negligible. The heat transfer rate in the evaporator is Q_L = m*(H_1 - H_4); printf("The heat transfer rate in the evaporator is %f kW\n\n",Q_L); //At state 2 (P = 0.7449 MPa and S = 0.7087 kJ/kg-K) and looking in the superheated tables we have to calculate the enthalpy at state 2 //At P = 0.7 MPa and S = 0.6917 kJ/kg-K, H_11 = 200.46;//[kJ/kg] //At P = 0.7 MPa and S = 0.7153 kJ/kg-K, H_12 = 207.73;//[kJ/kg] //Thus at P = 0.7 MPa and S = 0.7087 kJ/kg-K, enthalpy is given by H_13 = ((S_2 -0.6917)/(0.7153 - 0.6917))*(H_12 - H_11) + H_11;//[kJ/kg] //At P = 0.8 MPa and S = 0.7021 kJ/kg-K, H_21 = 206.07;//[kJ/kg] //At P = 0.8 MPa and S = 0.7253 kJ/kg-K, H_22 = 213.45;//[kJ/kg] //Thus at P = 0.8 MPa and S = 0.7087 kJ/kg-K, enthalpy is given by H_23 = ((S_2 -0.7021)/(0.7253 - 0.7021))*(H_22 - H_21) + H_21;//[kJ/kg] //At P = 0.7449 MPa, S = 0.7087 kJ/kg-K, the enthalpy is H_2 = ((0.7449 - 0.7)/(0.8 - 0.7))*(H_23 - H_13) + H_13;//[kJ/kg] //Power consumed by the compressor is W_comp = m*(H_2 - H_1);//[kW] printf("The power consumed by the compressor is %f kW\n\n",W_comp); //Heat removed in evaporator/work done on compressor COP_R = Q_L/W_comp; printf("The COP the refrigerator is %f kW\n\n",COP_R); //At -20 C,saturated conditions H_liq = 17.82;//[kJ/kg] H_vap = 178.74;//[kJ/kg] x_4 = (H_4 - H_liq)/(H_vap - H_liq); printf("The dryness factor of refrigerant after the expansion valve is %f\n\n",x_4); //The heat transfer rate in the condenser is Q_H = m*(H_3 - H_2);//[kW] printf("The heat transfer rate in the condenser is %f kW\n\n",Q_H); //If the cycle would have worked as a pump then, //COP_HP = (Heat supplied from condenser/Work done on compressor) COP_HP = (-Q_H)/W_comp; printf("The COP if cycle would work as a heat pump is %f kW\n\n",COP_HP); //If the cycle would have been a reversed Carnot cycle then COP_C = T_low/(T_high - T_low); printf("The COP if cycle would run as reversed Carnot cycle is %f kW\n\n",COP_C);
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//Ex 2.3 clc;clear;close; format('v',5) Gm1=10;//mA/V Gm1=Gm1/1000;//A/V Cc=50;//pF Cc=Cc*10^-12;//F Rt=10^8;//ohm(Shunting resistance with Cc) Ao=Gm1*Rt;//unitless fp=1/(2*%pi*Rt*Cc);//Hz ft=Gm1/(2*%pi*Cc)/10^6;//MHz disp(fp,"Frequency at which gain is maximum, fp in Hz"); disp(ft,"Unit gain frequency, ft(MHz)"); //Bode plot can not be plotted with the given data in the question by using scilab functions.
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clc //initialisation of variables T= 10 //F T1= 110 //F Pr= 180 //lbm/hr h1= 78.335 //Btu/lbm h3= 33.531 //Btu/lbm h2= 91 //Btu/lbm L= 12000 //Btu/hr per ton //CALCULATIONS h4= h3 QL= h1-h4 W= h2-h1 COP= QL/W C= QL*Pr/L //RESULTS printf ('Refrigerating effect = %.1f Btu/lbm ',QL) printf (' \n Coffecient of performnance= %.1f ',COP) printf (' \n Capacity of refrigeration in tons= %.2f ton',C)
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//Page Number: 10.19 //Example 10.2 clc; //Given Rb=1D+6; //b/s //(a) Aa=1D-3; //V N0=1D-11; //W/Hz Tb=1/Rb; Eba=(Aa*Aa*Tb)/2; //Pe=Q(z) //where za=sqrt((2*Eba)/N0); Peb=(1/2)*erfc(za/1.414); disp(Peb,'For Average bit error probability:'); //(b) Maintain Pb=2D-3 //From table zb=2.9; Ebb=((zb^2)*N0)/2; P=Ebb*Tb; Ab=sqrt((2*P)); disp('V',Ab,'Average Power:'); //(c) Ac=100; //V Rbc=1D+5; //p/s N01=1D-2;; //W/Hz Tbc=1/Rbc; Ebc=(Ac*Ac*Tbc); zc=sqrt(((2*Ebc)/N01)); Pec=(1/2)*erfc(zc/1.414); //Pec=0.0000039 //nearly 10^-5 disp(10^-5,'For Average bit error probability for bipolar antipodal signals:');
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//Example 5.32 //Regula Falsi, Newton Raphson and Mullers Method //Page no. 201 clc;clear;close; deff('x=f(x)','x=x^5-3.7*x^4+7.4*x^3-10.8*x^2+10.8*x-6.8') deff('x=f1(x)','x=5*x^4-4*3.7*x^3+3*7.4*x^2-21.6*x+10.8') //newton raphson printf('n\txn\t\t\f(xn)\t\tf1(xn)\t\tXn+1\t\tError\n') printf('-----------------------------------------------------------------------------------------------------\n') x0=1.5;e=0.00001 for i=1:4 x1=x0-f(x0)/f1(x0) e1=abs(x0-x1) printf(' %i\t%.10f\t%.10f\t%.10f\t%.10f\t%.10f\n',i-1,x0,f(x0),f1(x0),x1,e1) x0=x1; if abs(x0)<e then break; end end printf('\n\nThe solution of this equation by newton raphshon after %i Iterations is %.10f\n\n\n',i,x1) //regula falsi x1=1;x2=2;e=0.00001 printf('n\tx1\t\tf(x1)\t\tx2\t\tf(x2)\t\tx3\t\tf(x3)') printf('\n-------------------------------------------------------------------------------------------------\n') for i=0:7 x3=x2*f(x1)/(f(x1)-f(x2))+x1*f(x2)/(f(x2)-f(x1)) printf(' %i\t%f\t%f\t%f\t%f\t%f\t%f\n',i,x1,f(x1),x2,f(x2),x3,f(x3)) if f(x1)*f(x3)>0 then x1=x3 else x2=x3 end if abs(f(x3))<e then break end end printf('\n\nTherefore the solution by regula falsi method after %i iterations is %.10g',i,x3) //mullers method zi=[1;2;3]; s=["i","z0","z1","z2","f0","f1","f2","li","di","gi","li+1","hi","hi+1","zi+1","D+","D_"] li(1)=(zi(3,1)-zi(2,1))/(zi(2,1)-zi(1,1)) hi(1)=zi(3,1)-zi(2,1); for i=2:6 for j=1:3 fz(j,i-1)=f(zi(j,i-1)) end di(i-1)=1+li(i-1) gi(i-1)=fz(1,i-1)*li(i-1)^2-fz(2,i-1)*di(i-1)^2+fz(3,i-1)*(li(i-1)+di(i-1)) D1(i-1)=gi(i-1)+sqrt(gi(i-1)^2-4*fz(3,i-1)*di(i-1)*li(i-1)*(fz(1,i-1)*li(i-1)-fz(2,i-1)*di(i-1)+fz(3,i-1))) D2(i-1)=gi(i-1)-sqrt(gi(i-1)^2-4*fz(3,i-1)*di(i-1)*li(i-1)*(fz(1,i-1)*li(i-1)-fz(2,i-1)*di(i-1)+fz(3,i-1))) if abs(D1(i-1))>abs(D2(i-1)) then li(i)=-2*fz(3,i-1)*di(i-1)/D1(i-1) else li(i)=-2*fz(3,i-1)*di(i-1)/D2(i-1) end hi(i)=li(i)*hi(i-1); z(i-1)=zi(3,i-1)+hi(i) for j=1:2 zi(j,i)=zi(j+1,i-1) end zi(3,i)=z(i-1) end printf('\n\n ') for i=1:16 if i==1 then printf(s(i)) for j=1:5 printf('\t\t\t %i',j-1) end printf('\n----------------------------------------------------------------------------------------------------------------------------------') elseif i<=4 printf('\n %s',s(i)) for j=1:5 printf('\t\t%.10f',zi(i-1,j)) end elseif i<=7 printf('\n %s',s(i)) for j=1:5 printf('\t\t%.10f',fz(i-4,j)) end elseif i<=8 printf('\n %s',s(i)) for j=1:5 printf('\t\t%.10f',li(j)) end elseif i<=9 printf('\n %s',s(i)) for j=1:5 printf('\t\t%.10f',di(j)) end elseif i<=10 printf('\n %s',s(i)) for j=1:5 printf('\t\t%.10f',gi(j)) end elseif i<=11 printf('\n %s',s(i)) for j=1:5 printf('\t\t%.10f',li(j+1)) end elseif i<=12 printf('\n %s',s(i)) for j=1:5 printf('\t\t%.10f',hi(j)) end elseif i<=13 printf('\n %s',s(i)) for j=1:5 printf('\t\t%.10f',hi(j+1)) end elseif i<=14 printf('\n %s',s(i)) for j=1:5 printf('\t\t%.10f',z(j)) end elseif i<=15 printf('\n %s',s(i)) for j=1:5 printf('\t\t%.10f',D1(j)) end elseif i<=16 printf('\n %s',s(i)) for j=1:5 printf('\t\t%.10f',D2(j)) end end end printf('\n\nAt the end of the %ith iteration by mullers method, the root of the equation is %.10f',j-1,z(j))
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clear// //Variables C1 = 100.0 * 10**-12 //Capacitance (in Farad) C2 = 7500.0 * 10**-12 //Capacitance (in Farad) fomin = 950.0 * 10**3 //Frequency minimum (in Hertz) fomax = 2050.0 * 10**3 //Frequency maximum (in Hertz) //Calculation C = C1 * C2/ (C1 + C2) //Net capacitance (in Farad) L1 = 1.0/(4 * %pi**2*(C*fomin**2)) //Inductance1 (in Henry) L2 = 1.0/(4 * %pi**2*(C*fomax**2)) //Inductance2 (in Henry) //Result printf("\n The range of inductance required is from %0.0f micro-Henry to %0.0f micro-Henry.",L2*10**6,L1*10**6)
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function pr = geom(n) // préciser p avant l'invocation pr = p * (1-p)^n endfunction function p = poisson(n) // préciser lambda avant l'invocation p = exp(-lambda) * lambda^n / factorial(n) endfunction function d = normale(x) // préciser mu,sigma avant l'invocation C = 1 / (sqrt(2*%pi)*sigma) d = C * exp(-.5 * (x-mu)^2 / sigma^) endfunction //// Exemples d'utilisation //subplot(311) //p = .1 //plot(0:30,geom) //subplot(312) //lambda = 10 //plot(0:30,poisson) //subplot(313) //mu = 10 , sigma = 2 //plot(4:16,normale)
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PL/SQL Developer Test script 3.0 29 -- Created on 29.08.08 by Kravchneko A.V. declare -- Local variables here i integer; j integer; begin -- Test statements here i:= dbms_metadata.open(object_type => 'PACKAGE'); dbms_metadata.set_filter(handle => i, name => 'NAME', value => 'FC_GB_DEPO_JUR'); j := dbms_metadata.add_transform(handle => i, name => 'DDL'); dbms_metadata.set_transform_param(transform_handle => j, name => 'SQLTERMINATOR', value => True); dbms_metadata.set_transform_param(transform_handle => j, name => 'PRETTY', value => True); -- f := dbms_metadata.fetch_ddl(handle => i); :c := dbms_metadata.fetch_clob(handle => i); --GET_DDL (object_type => 'PACKAGE',name => 'FC_GB_DEPO_JUR'); dbms_metadata.close(i); end; 1 c 1 <CLOB> 112 1 f
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clc e = 1.6*10^-19; kbT = 0.026; disp("e= "+string(e)+"C")//initializing value of charge of electron A= 10^-7 disp("A= "+string(A)+"m^2") //initializing value of diode area ni = 1.5*10^16 disp("ni= "+string(ni)+"m^-3")//initializing value of intrinsic carrier concentration T = 10^-6 disp("T= "+string(T)+"s")//inializing value of carrier lifetime // from example 5.2 we get the value of zero bias depletion widths W = 0.32*10^-6 disp("The zero bias depletion widths is ,W "+string(W)+"m") Io_GR = (e*A*W*ni)/(2*T) disp("The prefactor of the is ,generation recombination currentIo_GR = (e*A*W*ni)/(2*T)= "+string(Io_GR)+"A")//calculation //let V = .2 V V = .2 I_GR = Io_GR*(exp(V/(2*kbT))-1) disp("The diode current is ,I_GR = Io_GR*(exp(V/(2*kbT))-1)= "+string(I_GR)+"A")//calculation //let V = 0.6 V V = 0.6 I_GR = Io_GR*(exp(V/(2*kbT))-1) disp("The diode current is ,I_GR = Io_GR*(exp(V/(2*kbT))-1)= "+string(I_GR)+"A")//calculation // The generation-recombination prefactor is much larger than prefactor due to diffusion term //In forward bias the diffusion current is initially much smaller than the generation recombination term but at high forward bias diffusion current will start to dominate
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//Electric Drives:concepts and applications by V.subrahmanyam //Publisher:Tata McGraw-Hill //Edition:Second //Ex3_4 clc; clear; Vs=200;//Supply voltage in V Rd=12.5;//Resistance in ohm Xc=0.5;//Reactance in ohm pf=0.5;//Powerfactor Vdia=0.9*Vs*pf; Id=Vdia/(Rd+(Xc/%pi)); disp(Id,"The average value of dc current in A is:") Vd=Id*Rd; disp(Vd,"The average value of converter voltage in V is:") Vc=Vdia-Vd; X=pf-((Vc*2)/Vs); c=acos(X); d=(c*180)/%pi; u=d-60; disp(u,"The overlap angle in deg is:") //Result vary due to error in calculation of overlap angle in the textbook
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clear; clc l=225;Zo=401-(%i*29);P=(0.148+(%i*2.06))*(10^-3); Zs=Zo*sinh(P*l); A=real(Zs); B=imag(Zs); printf("-Series branch of the equivalent network will have the impedance = %f + j(%f) ohms\n",round(A),round(B)); Zsh=Zo*coth(P*l/2); C=real(Zsh); D=imag(Zsh); printf("-Shunt branch of the equivalent network will have the impedanc = j(%f) ohms",round(D))
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function [ camMatrix ] = cameraMatrix(instrinsicMatrix,rotationMatrix,translationVector) // Returns camera projection matrix. // // Calling Sequence // camMatrix = cameraMatrix(instrinsicMatrix,rotationMatrix,translationVector); // // Parameters // camMatrix: A 4x3 camera projection matrix, which can be used to project 3-D world points in homogenous co-ordinates into an image. // instrinsicMatrix: Projection matrix of size 3x3. // rotationMatrix: A 3x3 matrix which specifies the rotation of a camera. // translationVector: A 1x3 vector which specifies the translation of a camera. // // Description // Return a matrix of size 4-by-3, which can be used to project 3-D world points in homogenous co-ordinates into an image. // // Examples // instrinsicMatrix = [1 0 0; 1 2 0; 3 4 0]; // rotationMatrix = [ 0.1417 -0.7409 0.6565; 0.9661 -0.0410 -0.2548; 0.2157 0.6703 0.7100]; // translationVector = [ -29.2584 35.7824 725.5824]; // camMatrix = cameraMatrix(instrinsicMatrix,rotationMatrix,translationVector) // // Authors // Tanmay Chaudhari a=opencv_cameraMatrix(instrinsicMatrix,rotationMatrix,translationVector); camMatrix(:,:,1)=a(1); endfunction
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//Chapter-8, Example 8.10, Page 351 //============================================================================= clc clear //INPUT DATA Ta=25;//Temperature of air in degree C Ts=95;//Surface temperature of wire in degree C D=0.0025;//Diameter of wire in m R=6;//Resistivity in ohm/m //CALCULATIONS Tf=(Ts+Ta)/2;//Film temperature in degree C k=0.02896;//Thermal conductivity in W/m.K v1=(18.97*10^-6);//Kinematic viscosity in m^2/s b=(1/333);//Coefficient of thermal expansion in 1/K Pr=0.696;//Prantl number Gr=((9.81*b*D^3*(Ts-Ta))/(v1^2));//Grashof number Ra=(Gr*Pr);//Rayleigh number Nu=(1.18*Ra^(1/8));//Nussults number h=(Nu*k)/D;//Heat transfer coefficient in W/m^2.K Q=(h*3.14*D*(Ts-Ta));//Rate of heat loss per unit length of wire in W/m I=sqrt(Q/R);//Maximum current intensity in A //OUTPUT mprintf('Heat transfer coefficient is %3.2f W/m^2.K \nMaximum current intensity is %3.2f A',h,I) //=================================END OF PROGRAM==============================
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clear; clc; disp('Example 7.4'); // aim : To determine // the dryness fraction of steam // Given values P1 = 2;// initial pressure, [MN/m^2] t = 350;// temperature, [C] P2 = .28;// final pressure, [MN/m^2] // solution // at 2 MN/m^2 and 350 C,steam is superheated because the saturation temperature is 212.4 C // From steam table s1 = 6.957;// [kJ/kg K] // for isentropic process s2 = s1; // also sf2 = 1.647;// [kJ/kg K] sfg2 = 5.368;// [kJ/kg K] // using // s2 = sf2+x2*sfg2, where x2 is dryness fraction of steam // hence x2 = (s2-sf2)/sfg2; mprintf('\n The final dryness fraction of steam is x2 = %f\n',x2); // End
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clc;clear;close; A=[] disp("-------------------------------------------------------------------------") printf(" Enter a 3x3 matrix:\n\n") for i=1:3 for j=1:3 printf("Enter element A(%d,%d):",i,j) A(i,j)=input("") end end disp("-------------------------------------------------------------------------") disp(A,"The matrix is:") l=poly(0,'lamda') C=A-l*eye(3,3) disp("-------------------------------------------------------------------------") disp(C,"The characteristic matrix is:") p=poly(A,'lambda') disp(p,"The characteristic equation is:") l=spec(A) disp("-------------------------------------------------------------------------") disp(l,"Eigen Values are:") disp("-------------------------------------------------------------------------") E=[] C=[] l=l' for i=1:3 B=A-l(i)*eye(3,3) printf("\n --> The characteristic matrix for lambda%d = %d is:\n",i,l(i)) disp(B) R=rref(B) disp(R,"Row reduced form is: ") e=[] if(R(1,1)==0)then e(1,1)=1;e(2,1)=-R(2,1);e(3,1)=-R(3,1); elseif(R(2,2)==0)then e(1,1)=-R(1,2);e(2,1)=1;e(3,1)=-R(3,2); else e(1,1)=-R(1,3);e(2,1)=-R(2,3);e(3,1)=1; end c=e/norm(e) E=[E e] C=[C c] end disp("-------------------------------------------------------------------------") disp("The Eigen Vectors are:") disp(E) disp("The Unit Eigen Vectors are:") disp(C) disp("-------------------------------------------------------------------------")
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//Example No. 4.11 clc; clear; close; format('v',7); //Given Data : Rating=25;//KW T=90;//min ts=30;//min S=sqrt(1/(1-exp(-ts/T))); HalfHourRating=S*Rating;//KW disp(HalfHourRating,"Half hour rating of motor in KW : "); //Answer wrong in textbook.
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clc; close(); clear(); //page no 609 //prob no. 19.7 code=[0 0 1 1 1 0 0 0 0 0 0 1]; t=[0:.01:2] //for x-axis y=[] x=[] p=0 //phase shift for i=1:2:length(code) if code(i)==0 then if code(i+1)==0 then p=p+0 else p=p+%pi/2 end else if code(i+1)==1 then p=p+%pi else p=p+3*%pi/2 end end y=[y sin(2*%pi.*t+p)]; x=[x 2*%pi.*(t+(i-1))]; end clf() plot(x,y); a=gca(); // Handle on axes entity a.x_location = "origin"; a.y_location = "origin"; xtitle('DQPSK used to encode 001110000001','Time','amplitude'); xgrid
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// fonction test du code (exepmle d'évaluation) et paramétres function y=f(x) y=x^2-2; endfunction eps=10^-8 K=1000 k=0 x0 = 0.5 x1 = 1 a=0 b=3 // Methode des Secantes function[z,k]=Secante(f,a,b,x0,x1,eps,K) x=x0 y=x1 while (abs(f(x))>eps & k<K) x= x - f(x)*((x-y)/(f(x)-f(y))) k=k+1 end z=x endfunction
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exec("/home/m/n/mneus/TP_AN/TP2/gauss.sci"); h = 0.01; n = 5; A = 2*eye(n,n) + (-1)*(diag(ones(1, n-1), 1) + diag(ones(1, n-1), -1)); B = (h^2)*ones(n,1); thetaG = GaussPivotPartiel(A, B) thetaG = inv(A)*B
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disp('the given matrix is:') a=[3 5 4;1 0 1;2 1 1] disp(a,'A=') disp('the cofactors are:') C11=det([0 1;1 1]) disp(C11,'C11=') C12=-det([1 1;2 1]) disp(C12,'C12=') C13=det([1 0;2 1]) disp(C13,'C13=') C21=-det([5 4;1 1]) disp(C21,'C21=') C22=det([3 4;2 1]) disp(C22,'C22=') C23=-det([3 5;2 1]) disp(C23,'C23=') C31=det([5 4;0 1]) disp(C31,'C31=') C32=-det([3 4;1 1]) disp(C32,'C32=') C33=det([3 5;1 0]) disp(C33,'C33=') B=[C11 C12 C13;C21 C22 C23;C31 C32 C33]' disp('adj(A)=') disp(B) C=B/(det(a)) disp('inv(A)=') disp(C)
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function y=myConvolution(x,h) y=[] //x=fliplr(x) pt1=length(x) pt2=1 pt3=length(x) pt4=1 for j= 0:length(x)+length(h)-2 y(j+1)=sum(x(pt1:pt3).*h(pt4:pt2)) // disp(y(j+1)) if pt1>1 then pt1=pt1-1 else pt3=pt3-1 end if pt2<length(h) then pt2=pt2+1 else pt4=pt4+1 end end endfunction
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{ "EGTE 150800Z 1509/1518 18005KT 9999 FEW040 TEMPO 1512/1518 20015KT 7000 SHRA BKN014": { "TAF matches METAR tempo group exactly": { "metar": "EGTE 151250Z 18005KT 7000 SHRA BKN014", "test time": "20200615T1300Z", "expected": "" }, "TAF tempo group covers METAR - wind speed differs within bounds": { "metar": "EGTE 151250Z 20020KT 7000 SHRA BKN014", "test time": "20200615T1300Z", "expected": "" }, "TAF tempo group covers METAR - wind direction differs within bounds": { "metar": "EGTE 151250Z 25015KT 7000 SHRA BKN014", "test time": "20200615T1300Z", "expected": "" }, "TAF tempo group does not cover METAR - wind speed and direction combined breach bounds": { "metar": "EGTE 151250Z 25020KT 7000 SHRA BKN014", "test time": "20200615T1300Z", "expected": "EGTE TAF bust by wind" }, "TAF tempo group does not cover METAR - wind exceeds allowed speed": { "metar": "EGTE 151250Z 20025KT 7000 SHRA BKN014", "test time": "20200615T1300Z", "expected": "EGTE TAF bust by wind" }, "TAF tempo group does not cover METAR - unforecast wind gust speed": { "metar": "EGTE 151250Z 20015G25KT 7000 SHRA BKN014", "test time": "20200615T1300Z", "expected": "EGTE TAF bust by wind" }, "TAF tempo group does not cover METAR - unexpected weather type": { "metar": "EGTE 151250Z 20015KT 7000 TSRA BKN014", "test time": "20200615T1300Z", "expected": "EGTE TAF bust by weather" }, "TAF tempo group covers METAR - visibility differs within bounds": { "metar": "EGTE 151250Z 20015KT 8000 SHRA BKN014", "test time": "20200615T1300Z", "expected": "" }, "TAF tempo group does not cover METAR - visibility too low": { "metar": "EGTE 151250Z 20015KT 4000 SHRA BKN014", "test time": "20200615T1300Z", "expected": "EGTE TAF bust by visibility" }, "TAF tempo group covers METAR - cloud base differs within bounds": { "metar": "EGTE 151250Z 20015KT 7000 SHRA BKN010", "test time": "20200615T1300Z", "expected": "" }, "TAF tempo group covers METAR - cloud amount differs within bounds": { "metar": "EGTE 151250Z 20015KT 7000 SHRA OVC010", "test time": "20200615T1300Z", "expected": "" }, "TAF tempo group does not cover METAR - cloud base too low": { "metar": "EGTE 151250Z 20015KT 7000 SHRA BKN009", "test time": "20200615T1300Z", "expected": "EGTE TAF bust by cloud" }, "TAF tempo group covers METAR - shower at 1150Z ob for tempo group starting 1200Z": { "metar": "EGTE 151150Z 20015KT 7000 SHRA BKN014", "test time": "20200615T1200Z", "expected": "" }, "TAF does not cover METAR - shower before tempo group start time": { "metar": "EGTE 151120Z 20015KT 7000 SHRA BKN014", "test time": "20200615T1130Z", "expected": "EGTE TAF bust by wind\nEGTE TAF bust by visibility\nEGTE TAF bust by weather\nEGTE TAF bust by cloud" }, "TAF base conditions cover METAR - CAVOK conditions": { "metar": "EGTE 151120Z 18005KT CAVOK", "test time": "20200615T1130Z", "expected": "" } }, "description": "A summer day with light winds, good visibility, and a little fair weather cumulus. A tempo group describes intermittent showers in the afternoon." }
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//Example 2.8 Source Plus Sink Plus Uniform Flow // Initialisation of variables U = -100; m = 314.2; P0 = 2116.2; rho = 0.002378; c = 1; x = 1.05; y = 0.6; P0 = 2116.2; function[z] = shi(x,y) z = -U*y + (m/(2*%pi)*atan(2*c*y/(x^2-y^2-c^2))); endfunction // Calculations h = 0.00001; u = (shi(x,y+h)-shi(x,y))/h ; v = -(shi(x+h,y)-shi(x,y))/h ; Velo = sqrt(u^2+v^2); P = P0 - (rho/2)*(Velo^2-U^2); //Results disp(P,"Pressure at P(1.05, 0.6) (lb/sq-ft)");
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function y=mulprobln(x,p) [nprob,nsamp]=size(x); pln=log(p); y=zeros(1,nsamp); for i=1:nsamp xi=x(:,i); ni=sum(xi); y(i)=gammaln(ni+1)+sum(xi.*pln-gammaln(xi+1)); end endfunction
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clear all; clc; disp("Ex 5_14") disp("Free body diagram is as shown in fig 5-29b") disp("Summing moments about X-direction:") disp("981*0.1-P*0.3*cos30=0") disp("P = 377.6 N") disp("Summing moments about Y-direction:") disp("-981*0.5+A_z*0.8+377.6*0.4=0") disp("A_z = 424.3 N") disp("Summing moments about Z-direction:") disp("-A_y*0.8=0") disp("A_y = 0 N") disp("Summing forces in X-direction:") disp("A_x=0 N") disp("Summing forces in Y-direction:") disp("B_y=0 N") disp("Summing forces in Z-direction:") disp("424.3-981+B_z-377.6=0") disp("B_z = 934 N")
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/////////Chapter 10 Properties Of Steam ////Example 10.13 Page No:196 ////Find Volume occupied by water ///Input data clc; clear; V=0.04; //Volume of vessel in m^3 x=1; t=250+273; //Saturated steam temp in degree celsius mw=9; //Mass of liquid in Kg //From steam table(temp basis,at t=250) P=39.78*10^5; //in bar Vf=0.001251; //In m^3/kg Vg=0.05004; //In m^3/Kg hf=1085.7; //KJ/Kg hfg=2800.4; //KJ/Kg hg=1714.7; //KJ/Kg //Calculation Vw=mw*Vf; //Volume occupied by water in m^3 Vs=V-Vw; //Volume of waterin m^3 ms=Vs/Vg; //Volume of dry and saturated steam in Kg m=mw+ms; //Total mass of steam in Kg x=ms/(ms+mw); //Dryness fraction of steam Vwet=(1-x)*Vf+x*Vg; //Specific volume of steam in m^3/Kg h=hf+x*hfg; //Enthalpy of wet steam in KJ/Kg EOWS=h*m; //Enthalpy of 9.574 Kg of wet steam KJ u=h-((P*Vwet)/10^3); //Internal Energy in KJ/Kg IEOS=u*m; //Internal energy of 9.574 Kg of steam in KJ ///Output printf('Volume occupied by water=%f m^3 \n ',Vw); printf('Volume of water=%f m^3 \n ',Vs); printf('Volume of dry and saturated steam=%f Kg \n',ms); printf('Total mass of steam= %f Kg \n ',m); printf('Dryness fraction of steam= %f \n',x); printf('Specific volume of steam=%f m^3/Kg \n ',Vwet); printf('Enthalpy of wet steam=%f KJ/Kg \n ',h); printf('Enthalpy of 9.574 Kg of wet steam=%f KJ \n ',EOWS); printf('Internal Energy= %f KJ/Kg \n',u); printf('Internal energy of 9.574 Kg of steam=%f KJ \n ',IEOS);
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Plan Carat 7 44,Ensemble 35-49 ans 101 -1 1 1 0 1,B398,101 f:\source\SFR01 11888000 1 1 1,1410,1,1,0,6.6, 5/01/98,1 2,1220,1,1,0,3.0, 5/01/98,1 2,2047,1,1,0,9.5, 5/01/98,1 3,1210,1,1,0,2.1, 5/01/98,1 16,1900,1,1,0,2.3, 5/01/98,1 1,1940,2,1,0,10.1, 6/01/98,1 2,835,2,1,0,1.7, 6/01/98,1 2,1901,2,1,0,1.2, 6/01/98,1 16,1410,2,1,0,1.9, 6/01/98,1 16,2005,2,1,0,2.9, 6/01/98,1 1,1410,4,1,0,7.2, 7/01/98,1 1,1900,4,1,0,4.1, 7/01/98,1 2,1455,4,1,0,3.1, 7/01/98,1 3,2030,4,1,0,7.4, 7/01/98,1 16,1830,4,1,0,3.0, 7/01/98,1 2,700,8,1,0,3.0, 8/01/98,1 2,930,8,1,0,1.3, 8/01/98,1 2,1901,8,1,0,1.4, 8/01/98,1 2,2040,8,1,0,6.9, 8/01/98,1 16,1830,8,1,0,1.8, 8/01/98,1 2,1901,16,1,0,2.5, 9/01/98,1 3,1915,16,1,0,5.0, 9/01/98,1 16,2045,16,1,0,8.2, 9/01/98,1 2,1415,32,1,0,1.2, 10/01/98,1 1,2140,64,1,0,15.5, 11/01/98,1 3,2130,64,1,0,2.1, 11/01/98,1 16,1800,64,1,0,3.6, 11/01/98,1 2,1901,1,1,0,1.6, 12/01/98,1 2,2047,1,1,0,10.5, 12/01/98,1 16,1410,1,1,0,2.1, 12/01/98,1 16,1830,1,1,0,1.9, 12/01/98,1 16,1900,1,1,0,2.6, 12/01/98,1 1,1410,2,1,0,6.9, 13/01/98,1 1,1900,2,1,0,2.5, 13/01/98,1 2,1810,2,1,0,1.3, 13/01/98,1 16,1410,2,1,0,1.6, 13/01/98,1 1,1410,4,1,0,6.1, 14/01/98,1 2,1901,4,1,0,2.7, 14/01/98,1 1,1350,8,1,0,7.2, 15/01/98,1 2,0930,8,1,0,0.7, 15/01/98,1 2,1835,8,1,0,1.2, 15/01/98,1 16,1410,8,1,0,2.0, 15/01/98,1 16,1900,8,1,0,3.3, 15/01/98,1 1,1920,16,1,0,5.2, 16/01/98,1 1,2122,16,1,0,14.5, 16/01/98,1 2,2043,32,1,0,7.3, 17/01/98,1 3,2056,32,1,0,8.5, 17/01/98,1 3,1900,64,1,0,7.7, 18/01/98,1 16,1800,64,1,0,3.9, 18/01/98,1 16,1900,64,1,0,6.1, 18/01/98,1 2,1906,1,1,0,1.7, 19/01/98,1 3,1400,1,1,0,0.6, 19/01/98,1 16,1340,1,1,0,2.2, 19/01/98,1 16,1410,1,1,0,3.7, 19/01/98,1 16,1900,1,1,0,2.2, 19/01/98,1 1,1410,2,1,0,6.2, 20/01/98,1 1,2040,2,1,0,15.2, 20/01/98,1 2,0930,2,1,0,1.1, 20/01/98,1 2,1835,2,1,0,1.9, 20/01/98,1 16,1340,2,1,0,2.1, 20/01/98,1 16,1900,2,1,0,2.3, 20/01/98,1 1,1920,4,1,0,5.7, 21/01/98,1 2,1455,4,1,0,1.7, 21/01/98,1 2,1540,4,1,0,1.1, 21/01/98,1 2,1835,4,1,0,2.0, 21/01/98,1 2,1901,4,1,0,2.3, 21/01/98,1 2,2046,4,1,0,8.2, 21/01/98,1 2,0700,8,1,0,2.0, 22/01/98,1 2,1901,8,1,0,1.6, 22/01/98,1 16,1410,8,1,0,2.3, 22/01/98,1 16,1930,8,1,0,2.3, 22/01/98,1 1,1410,16,1,0,6.5, 23/01/98,1 2,1901,16,1,0,2.7, 23/01/98,1 16,1900,16,1,0,2.4, 23/01/98,1 16,1900,64,1,0,5.1, 25/01/98,1 EOJ
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//Chapter 5, Problem 13, Figure 5.26 clc; R1=15; //in ohms R2=10; //in ohms R3=38; //in ohms V=250; //in volts Pt=2500; //in watts I=Pt/V; //current in amperes Rt=V/I; r=(R1*R2)/(R1+R2); //equivalent resistance of R1 and R2 V1=I*r; V2=V-V1; i=V2/R3; rx=V2/i; I1=(R2/(R1+R2))*I; I2=(R1/(R1+R2))*I; printf("\n(a) Value of resistor Rx = %d ohm\n\n",rx) printf("\n(b) Current flowing in each of the four resistors \n I1 = %d A\n I2 = %d A\n I3 = I4 = %d A",I1,I2,i);
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//example 6.7 clc; clear; a=0; b=0; q=0; //aa=input(" Enter the first no (in decimal) :"); //bb=input(" Enter the number from which first no has to substracted:"); aa=175; bb=118; while(aa>0) // converting the inputs in to binary numbers x=modulo(aa,2); a= a + (10^q)*x; aa=aa/2; aa=floor(aa); q=q+1; end q=0; while(bb>0) x=modulo(bb,2); b= b + (10^q)*x; bb=bb/2; bb=floor(bb); q=q+1; end printf(' \n The binary equivalent of first no is %f\n\n',a); printf(' The binary equivalent of secnd no is %f\n\n',b); for i=1:8 a1(i)=modulo(a,10); a=a/10; a=round(a); b1(i)=modulo(b,10); b=b/10; b=round(b); end car(1)=0; for i=1:8 c1(i)=car(i)+a1(i)+ b1(i);//adding the binary numbers (binary addtion) if c1(i)== 2 then car(i+1)= 1; c1(i)=0; elseif c1(i)==3 then car(i+1)= 1; c1(i)=1; else car(i+1)=0; end end c1(9)=car(9); re=0; format('v',18); for i=1:8 re=re+(c1(i)*(10^(i-1))) end printf('If only 8 bits are taken the result will be as shown below \n\n'); printf(' and the sum of given two binary numbers will be %f\n\n',re ); q=1; b=0; f=0; a=re; while(a>0) //converting the binary output to hexadecimal r=modulo(a,10); b(1,q)=r; a=a/10; a=floor(a); q=q+1; end for m=1:q-1 c=m-1; f = f + b(1,m)*(2^c); end printf(' Sum in decimal notation is %d\n\n',f); hex=dec2hex(f); printf(' The sum in hexadecimal notation is %sH \n',hex); printf(' \n with an overflow of %d\n\n',car(9));
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// Unit impulse signal clear n = -5:5 x = [zeros(1,5), ones(1,1), zeros(1,5)] subplot(2,2,1) plot2d(n,x) title("Unit Impulse (continuous)") xlabel("X") ylabel("Y") subplot(2,2,2) plot2d3(n,x) title("Unit Impulse (Discrete)") xlabel("X") ylabel("Y") // unit step x1 = [zeros(1,5), ones(1,6)] subplot(2,2,3) plot2d(n,x1) title("Unit Step (continuous)") xlabel("X") ylabel("Y") subplot(2,2,4) plot2d3(n,x1) title("Unit Step (Discrete)") xlabel("X") ylabel("Y")
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clc; clear; D=60;//mm pdiff=4;//kPa Q=0.003;//(m^3)/sec d=789;//kg/(m^3) vis=1.19*(10^(-3));//N*sec/(m^2) Re=d*4*Q/(%pi*D*vis); //assuming B=dia/D=0.577, where dia=diameter of nozzle, and obtaining Cn from Re as 0.972 Cn=0.972; B=0.577; dia=((4*Q/(Cn*%pi))/((2*pdiff*1000/(d*(1-(B^4))))^0.5))^0.5; disp("mm",dia*1000,"Diameter of the nozzle=")
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//Example_a_8_13 page no:333 clc; V_mag=200; V_ang=0; X1=25; I2=200/50; //when R1=10; R1=10; I1_mag=V_mag/sqrt(R1^2+X1^2); I1_ang=0-atand(X1/R1); I1_real=I1_mag*cosd(I1_ang); I1_imag=I1_mag*sind(I1_ang); I1=I1_real+(%i*I1_imag); Imax=I1+I2; Imax_mag=sqrt(real(Imax)^2+imag(Imax)^2); Imax_ang=atand(imag(Imax)/real(Imax)); disp(Imax_mag,"the magnitude of maximum current is (in A)"); disp(Imax_ang,"the angle of maximum current is (in degree)"); //when R1=50; R1=50; I1_mag=V_mag/sqrt(R1^2+X1^2); I1_ang=0-atand(X1/R1); I1_real=I1_mag*cosd(I1_ang); I1_imag=I1_mag*sind(I1_ang); I1=I1_real+(%i*I1_imag); Imax=I1+I2; Imax_mag=sqrt(real(Imax)^2+imag(Imax)^2); Imax_ang=atand(imag(Imax)/real(Imax)); disp(Imax_mag,"the magnitude of minimum current is (in A)"); disp(Imax_ang,"the angle of minimum current is (in degree)");
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//Example 4.16 (b) //Program to Evaluate and Compare the 8-point DFT of the given Sequence //x2[n]=1, 0<=n<=6 using DIT-FFT Algorithm. clear; clc ; close ; x2=[1,1,1,1,1,1,1,0]; //FFT Computation X2 = fft (x2 , -1); disp(X2,'X2(k) = ');
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clc; Re=2000; //Ohm RL=5000; //Ohm rE=(Re*RL)/(Re+RL); //Ohm Ie=0.031; //Ampere re=0.025/Ie; //Ohm Av=rE/(rE+re); disp(' ',Av,"Av=");//The answers vary due to round off error
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//Book Name:Fundamentals of Electrical Engineering //Author:Rajendra Prasad //Publisher: PHI Learning Private Limited //Edition:Third ,2014 //Ex12_8.sce clc; clear; Vl=110; f=50; printf("\n (a)") R_YR=0; R_BY=100; R_RB=200; W_YR=0; //since R_YR value is zero W_BY=Vl^2/R_BY; W_RB=Vl^2/R_RB; printf("\n Phase power=%3.1f W \n",W_YR+W_BY+W_RB) printf("\n (b)") X_YR=95; X_BY=0; X_RB=0; W_YR=Vl^2/X_YR; W_BY=0; //since X_BY value is zero W_RB=0; //since X_RB value is zero printf("\n Reactive power=%3.2f VAR",W_YR+W_BY+W_RB)
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[[16,16,3],[0,8,4],[16,16,5]] [35,12,37] [99,20,101] [195,28,197] [323,36,325] [483,44,485] [675,52,677] [899,60,901] [1155,68,1157] [1443,76,1445] [1763,84,1765] [2115,92,2117] [2499,100,2501] [2915,108,2917] [3363,116,3365] [3843,124,3845] [[-16,16,-3],[0,8,-4],[-16,16,-5]] [-3,4,-5] [-35,12,-37] [-99,20,-101] [-195,28,-197] [-323,36,-325] [-483,44,-485] [-675,52,-677] [-899,60,-901] [-1155,68,-1157] [-1443,76,-1445] [-1763,84,-1765] [-2115,92,-2117] [-2499,100,-2501] [-2915,108,-2917] [-3363,116,-3365] [[16,16,0],[0,16,8],[16,16,8]] gcd=8 [[-16,16,0],[0,16,-8],[-16,16,-8]] gcd=8 [[16,8,0],[0,8,2],[16,8,2]] gcd=2 [[-16,8,0],[0,8,-2],[-16,8,-2]] gcd=2 [[-16,0,1],[0,8,0],[16,0,1]] [-15,8,17] [-63,16,65] [-143,24,145] [-255,32,257] [-399,40,401] [-575,48,577] [-783,56,785] [-1023,64,1025] [-1295,72,1297] [-1599,80,1601] [-1935,88,1937] [-2303,96,2305] [-2703,104,2705] [-3135,112,3137] [-3599,120,3601] [[-16,-8,3],[0,16,4],[16,8,5]] [-21,20,29] [-77,36,85] [-165,52,173] [-285,68,293] [-437,84,445] [-621,100,629] [-837,116,845] [-1085,132,1093] [-1365,148,1373] [-1677,164,1685] [-2021,180,2029] [-2397,196,2405] [-2805,212,2813] [-3245,228,3253] [-3717,244,3725] [[-16,8,3],[0,16,-4],[-16,8,-5]] [-5,12,-13] [-45,28,-53] [-117,44,-125] [-221,60,-229] [-357,76,-365] [-525,92,-533] [-725,108,-733] [-957,124,-965] [-1221,140,-1229] [-1517,156,-1525] [-1845,172,-1853] [-2205,188,-2213] [-2597,204,-2605] [-3021,220,-3029] [-3477,236,-3485] [[-16,0,4],[0,16,0],[16,0,4]] gcd=4 [[14,14,0],[0,14,7],[14,14,7]] gcd=7 [[-14,14,0],[0,14,-7],[-14,14,-7]] gcd=7 [[12,12,12],[9,9,9],[15,15,15]] gcd=3 [[12,8,12],[9,6,9],[15,10,15]] .*8 .*19 .*36 .*59 .*88 .*123 .*164 .*211 .*264 .*323 .*388 .*459 .*536 .*619 .*708 same=[4,3,5] [[12,4,12],[9,3,9],[15,5,15]] .*7 .*17 .*33 .*55 .*83 .*117 .*157 .*203 .*255 .*313 .*377 .*447 .*523 .*605 .*693 same=[4,3,5] [[12,0,12],[9,0,9],[15,0,15]] gcd=3 [[-12,4,-12],[-9,3,-9],[-15,5,-15]] .*5 .*13 .*27 .*47 .*73 .*105 .*143 .*187 .*237 .*293 .*355 .*423 .*497 .*577 .*663 same=[-4,-3,-5] [[-12,8,-12],[-9,6,-9],[-15,10,-15]] .*4 .*11 .*24 .*43 .*68 .*99 .*136 .*179 .*228 .*283 .*344 .*411 .*484 .*563 .*648 same=[-4,-3,-5] [[-12,12,-12],[-9,9,-9],[-15,15,-15]] gcd=3 [[12,12,8],[9,9,6],[15,15,10]] .*8 .*20 .*38 .*62 .*92 .*128 .*170 .*218 .*272 .*332 .*398 .*470 .*548 .*632 .*722 same=[4,3,5] [[12,8,8],[9,6,6],[15,10,10]] .*7 .*18 .*35 .*58 .*87 .*122 .*163 .*210 .*263 .*322 .*387 .*458 .*535 .*618 .*707 same=[4,3,5] [[12,4,8],[9,3,6],[15,5,10]] .*6 .*16 .*32 .*54 .*82 .*116 .*156 .*202 .*254 .*312 .*376 .*446 .*522 .*604 .*692 same=[4,3,5] [[12,0,8],[9,0,6],[15,0,10]] .*5 .*14 .*29 .*50 .*77 .*110 .*149 .*194 .*245 .*302 .*365 .*434 .*509 .*590 .*677 same=[4,3,5] [[-12,4,-8],[-9,3,-6],[-15,5,-10]] .*4 .*12 .*26 .*46 .*72 .*104 .*142 .*186 .*236 .*292 .*354 .*422 .*496 .*576 .*662 same=[-4,-3,-5] [[-12,8,-8],[-9,6,-6],[-15,10,-10]] .*3 .*10 .*23 .*42 .*67 .*98 .*135 .*178 .*227 .*282 .*343 .*410 .*483 .*562 .*647 same=[-4,-3,-5] [[-12,12,-8],[-9,9,-6],[-15,15,-10]] .*2 .*8 .*20 .*38 .*62 .*92 .*128 .*170 .*218 .*272 .*332 .*398 .*470 .*548 .*632 same=[-4,-3,-5] [[12,12,4],[9,9,3],[15,15,5]] .*7 .*19 .*37 .*61 .*91 .*127 .*169 .*217 .*271 .*331 .*397 .*469 .*547 .*631 .*721 same=[4,3,5] [[12,8,4],[9,6,3],[15,10,5]] .*6 .*17 .*34 .*57 .*86 .*121 .*162 .*209 .*262 .*321 .*386 .*457 .*534 .*617 .*706 same=[4,3,5] [[12,4,4],[9,3,3],[15,5,5]] .*5 .*15 .*31 .*53 .*81 .*115 .*155 .*201 .*253 .*311 .*375 .*445 .*521 .*603 .*691 same=[4,3,5] [[12,0,4],[9,0,3],[15,0,5]] .*4 .*13 .*28 .*49 .*76 .*109 .*148 .*193 .*244 .*301 .*364 .*433 .*508 .*589 .*676 same=[4,3,5] [[-12,4,-4],[-9,3,-3],[-15,5,-5]] .*3 .*11 .*25 .*45 .*71 .*103 .*141 .*185 .*235 .*291 .*353 .*421 .*495 .*575 .*661 same=[-4,-3,-5] [[-12,8,-4],[-9,6,-3],[-15,10,-5]] .*2 .*9 .*22 .*41 .*66 .*97 .*134 .*177 .*226 .*281 .*342 .*409 .*482 .*561 .*646 same=[-4,-3,-5] [[-12,12,-4],[-9,9,-3],[-15,15,-5]] . .*7 .*19 .*37 .*61 .*91 .*127 .*169 .*217 .*271 .*331 .*397 .*469 .*547 .*631 same=[-4,-3,-5] [[12,6,0],[9,12,3],[15,12,3]] gcd=3 [[-12,6,0],[-9,12,-3],[-15,12,-3]] gcd=3 [[12,12,0],[9,9,0],[15,15,0]] gcd=3 [[12,8,0],[9,6,0],[15,10,0]] .*5 .*16 .*33 .*56 .*85 .*120 .*161 .*208 .*261 .*320 .*385 .*456 .*533 .*616 .*705 same=[4,3,5] [[12,4,0],[9,3,0],[15,5,0]] .*4 .*14 .*30 .*52 .*80 .*114 .*154 .*200 .*252 .*310 .*374 .*444 .*520 .*602 .*690 same=[4,3,5] [[12,0,0],[9,0,0],[15,0,0]] gcd=3 [[-12,4,0],[-9,3,0],[-15,5,0]] .*2 .*10 .*24 .*44 .*70 .*102 .*140 .*184 .*234 .*290 .*352 .*420 .*494 .*574 .*660 same=[-4,-3,-5] [[-12,8,0],[-9,6,0],[-15,10,0]] . .*8 .*21 .*40 .*65 .*96 .*133 .*176 .*225 .*280 .*341 .*408 .*481 .*560 .*645 same=[-4,-3,-5] [[-12,12,0],[-9,9,0],[-15,15,0]] gcd=3 [[12,12,0],[-9,6,3],[15,6,3]] gcd=3 [[-12,12,0],[-9,-6,3],[-15,6,-3]] gcd=3 [[-12,-12,4],[-9,-9,3],[-15,-15,5]] .*5 .*17 .*35 .*59 .*89 .*125 .*167 .*215 .*269 .*329 .*395 .*467 .*545 .*629 .*719 same=[-4,-3,-5] [[-12,-8,4],[-9,-6,3],[-15,-10,5]] .*4 .*15 .*32 .*55 .*84 .*119 .*160 .*207 .*260 .*319 .*384 .*455 .*532 .*615 .*704 same=[-4,-3,-5] [[-12,-4,4],[-9,-3,3],[-15,-5,5]] .*3 .*13 .*29 .*51 .*79 .*113 .*153 .*199 .*251 .*309 .*373 .*443 .*519 .*601 .*689 same=[-4,-3,-5] [[-12,0,4],[-9,0,3],[-15,0,5]] .*2 .*11 .*26 .*47 .*74 .*107 .*146 .*191 .*242 .*299 .*362 .*431 .*506 .*587 .*674 same=[-4,-3,-5] [[-12,4,4],[-9,3,3],[-15,5,5]] . .*9 .*23 .*43 .*69 .*101 .*139 .*183 .*233 .*289 .*351 .*419 .*493 .*573 .*659 same=[-4,-3,-5] [[-12,8,4],[-9,6,3],[-15,10,5]] [0,0,0] .*7 .*20 .*39 .*64 .*95 .*132 .*175 .*224 .*279 .*340 .*407 .*480 .*559 .*644 same=[-4,-3,-5] [[-12,12,4],[-9,9,3],[-15,15,5]] [4,3,5] .*5 .*17 .*35 .*59 .*89 .*125 .*167 .*215 .*269 .*329 .*395 .*467 .*545 .*629 same=[-4,-3,-5] [[-12,-12,8],[-9,-9,6],[-15,-15,10]] .*4 .*16 .*34 .*58 .*88 .*124 .*166 .*214 .*268 .*328 .*394 .*466 .*544 .*628 .*718 same=[-4,-3,-5] [[-12,-8,8],[-9,-6,6],[-15,-10,10]] .*3 .*14 .*31 .*54 .*83 .*118 .*159 .*206 .*259 .*318 .*383 .*454 .*531 .*614 .*703 same=[-4,-3,-5] [[-12,-4,8],[-9,-3,6],[-15,-5,10]] .*2 .*12 .*28 .*50 .*78 .*112 .*152 .*198 .*250 .*308 .*372 .*442 .*518 .*600 .*688 same=[-4,-3,-5] [[-12,0,8],[-9,0,6],[-15,0,10]] . .*10 .*25 .*46 .*73 .*106 .*145 .*190 .*241 .*298 .*361 .*430 .*505 .*586 .*673 same=[-4,-3,-5] [[-12,4,8],[-9,3,6],[-15,5,10]] [0,0,0] .*8 .*22 .*42 .*68 .*100 .*138 .*182 .*232 .*288 .*350 .*418 .*492 .*572 .*658 same=[-4,-3,-5] [[-12,8,8],[-9,6,6],[-15,10,10]] [4,3,5] .*6 .*19 .*38 .*63 .*94 .*131 .*174 .*223 .*278 .*339 .*406 .*479 .*558 .*643 same=[-4,-3,-5] [[-12,12,8],[-9,9,6],[-15,15,10]] [4,3,5]*2 .*4 .*16 .*34 .*58 .*88 .*124 .*166 .*214 .*268 .*328 .*394 .*466 .*544 .*628 same=[-4,-3,-5] [[-12,-12,12],[-9,-9,9],[-15,-15,15]] gcd=3 [[-12,-8,12],[-9,-6,9],[-15,-10,15]] .*2 .*13 .*30 .*53 .*82 .*117 .*158 .*205 .*258 .*317 .*382 .*453 .*530 .*613 .*702 same=[-4,-3,-5] [[-12,-4,12],[-9,-3,9],[-15,-5,15]] . .*11 .*27 .*49 .*77 .*111 .*151 .*197 .*249 .*307 .*371 .*441 .*517 .*599 .*687 same=[-4,-3,-5] [[-12,0,12],[-9,0,9],[-15,0,15]] gcd=3 [[-12,4,12],[-9,3,9],[-15,5,15]] [4,3,5] .*7 .*21 .*41 .*67 .*99 .*137 .*181 .*231 .*287 .*349 .*417 .*491 .*571 .*657 same=[-4,-3,-5] [[-12,8,12],[-9,6,9],[-15,10,15]] [4,3,5]*2 .*5 .*18 .*37 .*62 .*93 .*130 .*173 .*222 .*277 .*338 .*405 .*478 .*557 .*642 same=[-4,-3,-5] [[-12,12,12],[-9,9,9],[-15,15,15]] gcd=3 [[12,12,12],[5,5,5],[13,13,13]] .*3 .*7 .*13 .*21 .*31 .*43 .*57 .*73 .*91 .*111 .*133 .*157 .*183 .*211 .*241 same=[12,5,13] [[12,0,12],[5,0,5],[13,0,13]] .*2 .*5 .*10 .*17 .*26 .*37 .*50 .*65 .*82 .*101 .*122 .*145 .*170 .*197 .*226 same=[12,5,13] [[-12,12,-12],[-5,5,-5],[-13,13,-13]] . .*3 .*7 .*13 .*21 .*31 .*43 .*57 .*73 .*91 .*111 .*133 .*157 .*183 .*211 same=[-12,-5,-13] [[12,14,4],[5,8,3],[13,16,5]] [15,8,17]*2 [80,39,89] [77,36,85]*2 [252,115,277] [187,84,205]*2 [520,231,569] [345,152,377]*2 [884,387,965] [551,240,601]*2 [1344,583,1465] [805,348,877]*2 [1900,819,2069] [1107,476,1205]*2 [2552,1095,2777] [1457,624,1585]*2 [[-12,14,-4],[-5,8,-3],[-13,16,-5]] [-1,0,-1]*2 [-24,-7,-25] [-35,-12,-37]*2 [-140,-51,-149] [-117,-44,-125]*2 [-352,-135,-377] [-247,-96,-265]*2 [-660,-259,-709] [-425,-168,-457]*2 [-1064,-423,-1145] [-651,-260,-701]*2 [-1564,-627,-1685] [-925,-372,-997]*2 [-2160,-871,-2329] [-1247,-504,-1345]*2 [[12,16,4],[-5,2,3],[13,14,5]] [1,0,1]*32 [84,-13,85] [40,-9,41]*4 [260,-69,269] [24,-7,25]*16 [532,-165,557] [176,-57,185]*4 [900,-301,949] [35,-12,37]*32 [1364,-477,1445] [408,-145,433]*4 [1924,-693,2045] [140,-51,149]*16 [2580,-949,2749] [736,-273,785]*4 [[-12,16,-4],[-5,-2,3],[-13,14,-5]] [0,-1,-1]*4 [-20,-21,-29] [-4,-3,-5]*16 [-132,-85,-157] [-56,-33,-65]*4 [-340,-189,-389] [-15,-8,-17]*32 [-644,-333,-725] [-208,-105,-233]*4 [-1044,-517,-1165] [-80,-39,-89]*16 [-1540,-741,-1709] [-456,-217,-505]*4 [-2132,-1005,-2357] [-77,-36,-85]*32 [[12,10,2],[5,2,0],[13,10,2]] [24,7,25] [35,12,37]*2 [140,51,149] [117,44,125]*2 [352,135,377] [247,96,265]*2 [660,259,709] [425,168,457]*2 [1064,423,1145] [651,260,701]*2 [1564,627,1685] [925,372,997]*2 [2160,871,2329] [1247,504,1345]*2 [2852,1155,3077] [[-12,10,-2],[-5,2,0],[-13,10,-2]] [-4,-3,-5] [-15,-8,-17]*2 [-80,-39,-89] [-77,-36,-85]*2 [-252,-115,-277] [-187,-84,-205]*2 [-520,-231,-569] [-345,-152,-377]*2 [-884,-387,-965] [-551,-240,-601]*2 [-1344,-583,-1465] [-805,-348,-877]*2 [-1900,-819,-2069] [-1107,-476,-1205]*2 [-2552,-1095,-2777] [[12,8,0],[5,12,4],[13,12,4]] [20,21,29] [4,3,5]*16 [132,85,157] [56,33,65]*4 [340,189,389] [15,8,17]*32 [644,333,725] [208,105,233]*4 [1044,517,1165] [80,39,89]*16 [1540,741,1709] [456,217,505]*4 [2132,1005,2357] [77,36,85]*32 [2820,1309,3109] [[-12,8,0],[-5,12,-4],[-13,12,-4]] [-4,3,-5] [-1,0,-1]*32 [-84,-13,-85] [-40,-9,-41]*4 [-260,-69,-269] [-24,-7,-25]*16 [-532,-165,-557] [-176,-57,-185]*4 [-900,-301,-949] [-35,-12,-37]*32 [-1364,-477,-1445] [-408,-145,-433]*4 [-1924,-693,-2045] [-140,-51,-149]*16 [-2580,-949,-2749] [[12,4,0],[5,6,1],[13,6,1]] [4,3,5]*4 [56,33,65] [15,8,17]*8 [208,105,233] [80,39,89]*4 [456,217,505] [77,36,85]*8 [800,369,881] [252,115,277]*4 [1240,561,1361] [187,84,205]*8 [1776,793,1945] [520,231,569]*4 [2408,1065,2633] [345,152,377]*8 [[-12,4,0],[-5,6,-1],[-13,6,-1]] [-1,0,-1]*8 [-40,-9,-41] [-24,-7,-25]*4 [-176,-57,-185] [-35,-12,-37]*8 [-408,-145,-433] [-140,-51,-149]*4 [-736,-273,-785] [-117,-44,-125]*8 [-1160,-441,-1241] [-352,-135,-377]*4 [-1680,-649,-1801] [-247,-96,-265]*8 [-2296,-897,-2465] [-660,-259,-709]*4 [[12,12,0],[5,5,0],[13,13,0]] .*2 .*6 .*12 .*20 .*30 .*42 .*56 .*72 .*90 .*110 .*132 .*156 .*182 .*210 .*240 same=[12,5,13] [[12,0,0],[5,0,0],[13,0,0]] . .*4 .*9 .*16 .*25 .*36 .*49 .*64 .*81 .*100 .*121 .*144 .*169 .*196 .*225 same=[12,5,13] [[-12,12,0],[-5,5,0],[-13,13,0]] [0,0,0] .*2 .*6 .*12 .*20 .*30 .*42 .*56 .*72 .*90 .*110 .*132 .*156 .*182 .*210 same=[-12,-5,-13] [[12,6,0],[-5,4,1],[13,4,1]] [1,0,1]*18 [60,-11,61] [63,-16,65]*2 [24,-7,25]*9 [165,-52,173]*2 [468,-155,493] [35,-12,37]*18 [816,-287,865] [513,-184,545]*2 [140,-51,149]*9 [759,-280,809]*2 [1800,-671,1921] [117,-44,125]*18 [2436,-923,2605] [1395,-532,1493]*2 [[-12,6,0],[-5,-4,1],[-13,4,-1]] [-3,-4,-5]*2 [-4,-3,-5]*9 [-45,-28,-53]*2 [-168,-95,-193] [-15,-8,-17]*18 [-396,-203,-445] [-273,-136,-305]*2 [-80,-39,-89]*9 [-459,-220,-509]*2 [-1140,-539,-1261] [-77,-36,-85]*18 [-1656,-767,-1825] [-975,-448,-1073]*2 [-252,-115,-277]*9 [-1305,-592,-1433]*2 [[12,12,0],[-5,8,4],[13,8,4]] [24,7,25] [1,0,1]*72 [144,-17,145] [60,-11,61]*4 [40,-9,41]*9 [63,-16,65]*8 [672,-185,697] [24,-7,25]*36 [1080,-329,1129] [165,-52,173]*8 [176,-57,185]*9 [468,-155,493]*4 [2184,-737,2305] [35,-12,37]*72 [2880,-1001,3049] [[-12,12,0],[-5,-8,4],[-13,8,-4]] [0,-1,-1]*9 [-3,-4,-5]*8 [-72,-65,-97] [-4,-3,-5]*36 [-240,-161,-289] [-45,-28,-53]*8 [-56,-33,-65]*9 [-168,-95,-193]*4 [-864,-473,-985] [-15,-8,-17]*72 [-1320,-689,-1489] [-396,-203,-445]*4 [-208,-105,-233]*9 [-273,-136,-305]*8 [-2520,-1241,-2809] [[-12,-2,2],[-5,10,0],[-13,2,-2]] [-12,5,-13] [-1,0,-1]*50 [-112,-15,-113] [-99,-20,-101]*2 [-308,-75,-317] [-221,-60,-229]*2 [-24,-7,-25]*25 [-391,-120,-409]*2 [-988,-315,-1037] [-609,-200,-641]*2 [-1472,-495,-1553] [-35,-12,-37]*50 [-2052,-715,-2173] [-1189,-420,-1261]*2 [-2728,-975,-2897] [[-12,2,2],[5,10,0],[13,2,2]] [-8,15,17] [-21,20,29]*2 [-4,3,5]*25 [-91,60,109]*2 [-288,175,337] [-209,120,241]*2 [-572,315,653] [-15,8,17]*50 [-952,495,1073] [-589,300,661]*2 [-1428,715,1597] [-851,420,949]*2 [-80,39,89]*25 [-1161,560,1289]*2 [-2668,1275,2957] [[-12,-2,4],[5,16,3],[13,8,5]] [-5,12,13]*2 [-48,55,73] [-55,48,73]*2 [-4,3,5]*49 [-153,104,185]*2 [-440,279,521] [-299,180,349]*2 [-780,451,901] [-493,276,565]*2 [-1216,663,1385] [-15,8,17]*98 [-1748,915,1973] [-1025,528,1153]*2 [-2376,1207,2665] [-1363,684,1525]*2 [[-12,2,4],[-5,16,-3],[-13,8,-5]] [-3,4,-5]*2 [-40,9,-41] [-1,0,-1]*98 [-180,-19,-181] [-143,-24,-145]*2 [-416,-87,-425] [-285,-68,-293]*2 [-748,-195,-773] [-475,-132,-493]*2 [-24,-7,-25]*49 [-713,-216,-745]*2 [-1700,-531,-1781] [-999,-320,-1049]*2 [-2320,-759,-2441] [-1333,-444,-1405]*2 [[-12,-8,4],[-5,14,3],[13,2,5]] [-4,3,5]*4 [-60,11,61] [-1,0,1]*128 [-220,-21,221] [-84,-13,85]*4 [-476,-93,485] [-40,-9,41]*16 [-828,-205,853] [-260,-69,269]*4 [-1276,-357,1325] [-24,-7,25]*64 [-1820,-549,1901] [-532,-165,557]*4 [-2460,-781,2581] [-176,-57,185]*16 [[-12,8,4],[-5,-14,3],[-13,2,-5]] [0,-1,-1]*16 [-28,-45,-53] [-20,-21,-29]*4 [-156,-133,-205] [-4,-3,-5]*64 [-380,-261,-461] [-132,-85,-157]*4 [-700,-429,-821] [-56,-33,-65]*16 [-1116,-637,-1285] [-340,-189,-389]*4 [-1628,-885,-1853] [-15,-8,-17]*128 [-2236,-1173,-2525] [-644,-333,-725]*4 [[-12,-12,12],[-5,-5,5],[-13,-13,13]] . .*5 .*11 .*19 .*29 .*41 .*55 .*71 .*89 .*109 .*131 .*155 .*181 .*209 .*239 same=[-12,-5,-13] [[-12,0,12],[-5,0,5],[-13,0,13]] [0,0,0] .*3 .*8 .*15 .*24 .*35 .*48 .*63 .*80 .*99 .*120 .*143 .*168 .*195 .*224 same=[-12,-5,-13] [[-12,12,12],[-5,5,5],[-13,13,13]] [12,5,13] . .*5 .*11 .*19 .*29 .*41 .*55 .*71 .*89 .*109 .*131 .*155 .*181 .*209 same=[-12,-5,-13] [[12,12,0],[0,12,6],[12,12,6]] gcd=6 [[-12,12,0],[0,12,-6],[-12,12,-6]] gcd=6 [[-12,0,3],[0,12,0],[12,0,3]] gcd=3 [[10,10,0],[0,10,5],[10,10,5]] gcd=5 [[-10,10,0],[0,10,-5],[-10,10,-5]] gcd=5 [[9,12,3],[0,6,4],[9,12,5]] [12,5,13]*2 [63,16,65] [60,11,61]*2 [195,28,197] [144,17,145]*2 [399,40,401] [264,23,265]*2 [675,52,677] [420,29,421]*2 [1023,64,1025] [612,35,613]*2 [1443,76,1445] [840,41,841]*2 [1935,88,1937] [1104,47,1105]*2 [[-9,12,-3],[0,6,-4],[-9,12,-5]] [0,1,-1]*2 [-15,8,-17] [-24,7,-25]*2 [-99,20,-101] [-84,13,-85]*2 [-255,32,-257] [-180,19,-181]*2 [-483,44,-485] [-312,25,-313]*2 [-783,56,-785] [-480,31,-481]*2 [-1155,68,-1157] [-684,37,-685]*2 [-1599,80,-1601] [-924,43,-925]*2 [[9,12,0],[0,12,8],[9,12,8]] [21,20,29] [15,8,17]*4 [117,44,125] [24,7,25]*8 [285,68,293] [99,20,101]*4 [525,92,533] [84,13,85]*8 [837,116,845] [255,32,257]*4 [1221,140,1229] [180,19,181]*8 [1677,164,1685] [483,44,485]*4 [2205,188,2213] [[-9,12,0],[0,12,-8],[-9,12,-8]] [3,4,-5] [-3,4,-5]*4 [-45,28,-53] [-12,5,-13]*8 [-165,52,-173] [-63,16,-65]*4 [-357,76,-365] [-60,11,-61]*8 [-621,100,-629] [-195,28,-197]*4 [-957,124,-965] [-144,17,-145]*8 [-1365,148,-1373] [-399,40,-401]*4 [-1845,172,-1853] [[9,6,0],[0,6,2],[9,6,2]] [15,8,17] [24,7,25]*2 [99,20,101] [84,13,85]*2 [255,32,257] [180,19,181]*2 [483,44,485] [312,25,313]*2 [783,56,785] [480,31,481]*2 [1155,68,1157] [684,37,685]*2 [1599,80,1601] [924,43,925]*2 [2115,92,2117] [[-9,6,0],[0,6,-2],[-9,6,-2]] [-3,4,-5] [-12,5,-13]*2 [-63,16,-65] [-60,11,-61]*2 [-195,28,-197] [-144,17,-145]*2 [-399,40,-401] [-264,23,-265]*2 [-675,52,-677] [-420,29,-421]*2 [-1023,64,-1025] [-612,35,-613]*2 [-1443,76,-1445] [-840,41,-841]*2 [-1935,88,-1937] [[-9,0,1],[0,6,0],[9,0,1]] [-4,3,5]*2 [-35,12,37] [-40,9,41]*2 [-143,24,145] [-112,15,113]*2 [-323,36,325] [-220,21,221]*2 [-575,48,577] [-364,27,365]*2 [-899,60,901] [-544,33,545]*2 [-1295,72,1297] [-760,39,761]*2 [-1763,84,1765] [-1012,45,1013]*2 [[-9,-6,3],[0,12,4],[9,6,5]] [-3,4,5]*4 [-45,28,53] [-12,5,13]*8 [-165,52,173] [-63,16,65]*4 [-357,76,365] [-60,11,61]*8 [-621,100,629] [-195,28,197]*4 [-957,124,965] [-144,17,145]*8 [-1365,148,1373] [-399,40,401]*4 [-1845,172,1853] [-264,23,265]*8 [[-9,6,3],[0,12,-4],[-9,6,-5]] [0,1,-1]*8 [-21,20,-29] [-15,8,-17]*4 [-117,44,-125] [-24,7,-25]*8 [-285,68,-293] [-99,20,-101]*4 [-525,92,-533] [-84,13,-85]*8 [-837,116,-845] [-255,32,-257]*4 [-1221,140,-1229] [-180,19,-181]*8 [-1677,164,-1685] [-483,44,-485]*4 [[-9,0,4],[0,12,0],[9,0,4]] [-5,12,13] [-4,3,5]*8 [-77,36,85] [-35,12,37]*4 [-221,60,229] [-40,9,41]*8 [-437,84,445] [-143,24,145]*4 [-725,108,733] [-112,15,113]*8 [-1085,132,1093] [-323,36,325]*4 [-1517,156,1525] [-220,21,221]*8 [-2021,180,2029] [[8,12,12],[6,9,9],[10,15,15]] .*8 .*17 .*30 .*47 .*68 .*93 .*122 .*155 .*192 .*233 .*278 .*327 .*380 .*437 .*498 same=[4,3,5] [[8,8,12],[6,6,9],[10,10,15]] .*7 .*15 .*27 .*43 .*63 .*87 .*115 .*147 .*183 .*223 .*267 .*315 .*367 .*423 .*483 same=[4,3,5] [[8,4,12],[6,3,9],[10,5,15]] .*6 .*13 .*24 .*39 .*58 .*81 .*108 .*139 .*174 .*213 .*256 .*303 .*354 .*409 .*468 same=[4,3,5] [[8,0,12],[6,0,9],[10,0,15]] .*5 .*11 .*21 .*35 .*53 .*75 .*101 .*131 .*165 .*203 .*245 .*291 .*341 .*395 .*453 same=[4,3,5] [[-8,4,-12],[-6,3,-9],[-10,5,-15]] .*4 .*9 .*18 .*31 .*48 .*69 .*94 .*123 .*156 .*193 .*234 .*279 .*328 .*381 .*438 same=[-4,-3,-5] [[-8,8,-12],[-6,6,-9],[-10,10,-15]] .*3 .*7 .*15 .*27 .*43 .*63 .*87 .*115 .*147 .*183 .*223 .*267 .*315 .*367 .*423 same=[-4,-3,-5] [[-8,12,-12],[-6,9,-9],[-10,15,-15]] .*2 .*5 .*12 .*23 .*38 .*57 .*80 .*107 .*138 .*173 .*212 .*255 .*302 .*353 .*408 same=[-4,-3,-5] [[8,12,8],[6,9,6],[10,15,10]] .*7 .*16 .*29 .*46 .*67 .*92 .*121 .*154 .*191 .*232 .*277 .*326 .*379 .*436 .*497 same=[4,3,5] [[8,8,8],[6,6,6],[10,10,10]] gcd=2 [[8,4,8],[6,3,6],[10,5,10]] .*5 .*12 .*23 .*38 .*57 .*80 .*107 .*138 .*173 .*212 .*255 .*302 .*353 .*408 .*467 same=[4,3,5] [[8,0,8],[6,0,6],[10,0,10]] gcd=2 [[-8,4,-8],[-6,3,-6],[-10,5,-10]] .*3 .*8 .*17 .*30 .*47 .*68 .*93 .*122 .*155 .*192 .*233 .*278 .*327 .*380 .*437 same=[-4,-3,-5] [[-8,8,-8],[-6,6,-6],[-10,10,-10]] gcd=2 [[-8,12,-8],[-6,9,-6],[-10,15,-10]] . .*4 .*11 .*22 .*37 .*56 .*79 .*106 .*137 .*172 .*211 .*254 .*301 .*352 .*407 same=[-4,-3,-5] [[8,12,4],[6,9,3],[10,15,5]] .*6 .*15 .*28 .*45 .*66 .*91 .*120 .*153 .*190 .*231 .*276 .*325 .*378 .*435 .*496 same=[4,3,5] [[8,8,4],[6,6,3],[10,10,5]] .*5 .*13 .*25 .*41 .*61 .*85 .*113 .*145 .*181 .*221 .*265 .*313 .*365 .*421 .*481 same=[4,3,5] [[8,4,4],[6,3,3],[10,5,5]] .*4 .*11 .*22 .*37 .*56 .*79 .*106 .*137 .*172 .*211 .*254 .*301 .*352 .*407 .*466 same=[4,3,5] [[8,0,4],[6,0,3],[10,0,5]] .*3 .*9 .*19 .*33 .*51 .*73 .*99 .*129 .*163 .*201 .*243 .*289 .*339 .*393 .*451 same=[4,3,5] [[-8,4,-4],[-6,3,-3],[-10,5,-5]] .*2 .*7 .*16 .*29 .*46 .*67 .*92 .*121 .*154 .*191 .*232 .*277 .*326 .*379 .*436 same=[-4,-3,-5] [[-8,8,-4],[-6,6,-3],[-10,10,-5]] . .*5 .*13 .*25 .*41 .*61 .*85 .*113 .*145 .*181 .*221 .*265 .*313 .*365 .*421 same=[-4,-3,-5] [[-8,12,-4],[-6,9,-3],[-10,15,-5]] [0,0,0] .*3 .*10 .*21 .*36 .*55 .*78 .*105 .*136 .*171 .*210 .*253 .*300 .*351 .*406 same=[-4,-3,-5] [[8,12,4],[6,4,0],[10,12,4]] gcd=2 [[-8,12,-4],[-6,4,0],[-10,12,-4]] gcd=2 [[8,10,3],[6,10,4],[10,14,5]] [21,20,29] [55,48,73] [105,88,137] [171,140,221] [253,204,325] [351,280,449] [465,368,593] [595,468,757] [741,580,941] [903,704,1145] [1081,840,1369] [1275,988,1613] [1485,1148,1877] [1711,1320,2161] [1953,1504,2465] [[-8,10,-3],[-6,10,-4],[-10,14,-5]] [-1,0,-1] [-15,-8,-17] [-45,-28,-53] [-91,-60,-109] [-153,-104,-185] [-231,-160,-281] [-325,-228,-397] [-435,-308,-533] [-561,-400,-689] [-703,-504,-865] [-861,-620,-1061] [-1035,-748,-1277] [-1225,-888,-1513] [-1431,-1040,-1769] [-1653,-1204,-2045] [[8,14,3],[-6,2,4],[10,10,5]] [1,0,1]*25 [63,-16,65] [117,-44,125] [187,-84,205] [273,-136,305] [15,-8,17]*25 [493,-276,565] [627,-364,725] [777,-464,905] [943,-576,1105] [45,-28,53]*25 [1323,-836,1565] [1537,-984,1825] [1767,-1144,2105] [2013,-1316,2405] [[-8,14,-3],[-6,-2,4],[-10,10,-5]] [3,-4,-5] [-7,-24,-25] [-33,-56,-65] [-3,-4,-5]*25 [-133,-156,-205] [-207,-224,-305] [-297,-304,-425] [-403,-396,-565] [-21,-20,-29]*25 [-663,-616,-905] [-817,-744,-1105] [-987,-884,-1325] [-1173,-1036,-1565] [-55,-48,-73]*25 [-1593,-1376,-2105] [[8,6,1],[6,2,0],[10,6,1]] [15,8,17] [45,28,53] [91,60,109] [153,104,185] [231,160,281] [325,228,397] [435,308,533] [561,400,689] [703,504,865] [861,620,1061] [1035,748,1277] [1225,888,1513] [1431,1040,1769] [1653,1204,2045] [1891,1380,2341] [[-8,6,-1],[-6,2,0],[-10,6,-1]] [-3,-4,-5] [-21,-20,-29] [-55,-48,-73] [-105,-88,-137] [-171,-140,-221] [-253,-204,-325] [-351,-280,-449] [-465,-368,-593] [-595,-468,-757] [-741,-580,-941] [-903,-704,-1145] [-1081,-840,-1369] [-1275,-988,-1613] [-1485,-1148,-1877] [-1711,-1320,-2161] [[8,8,0],[6,16,8],[10,16,8]] gcd=2 [[-8,8,0],[-6,16,-8],[-10,16,-8]] gcd=2 [[8,4,0],[6,8,2],[10,8,2]] gcd=2 [[-8,4,0],[-6,8,-2],[-10,8,-2]] gcd=2 [[8,12,0],[6,9,0],[10,15,0]] .*5 .*14 .*27 .*44 .*65 .*90 .*119 .*152 .*189 .*230 .*275 .*324 .*377 .*434 .*495 same=[4,3,5] [[8,8,0],[6,6,0],[10,10,0]] gcd=2 [[8,4,0],[6,3,0],[10,5,0]] .*3 .*10 .*21 .*36 .*55 .*78 .*105 .*136 .*171 .*210 .*253 .*300 .*351 .*406 .*465 same=[4,3,5] [[8,0,0],[6,0,0],[10,0,0]] gcd=2 [[-8,4,0],[-6,3,0],[-10,5,0]] . .*6 .*15 .*28 .*45 .*66 .*91 .*120 .*153 .*190 .*231 .*276 .*325 .*378 .*435 same=[-4,-3,-5] [[-8,8,0],[-6,6,0],[-10,10,0]] gcd=2 [[-8,12,0],[-6,9,0],[-10,15,0]] [4,3,5] .*2 .*9 .*20 .*35 .*54 .*77 .*104 .*135 .*170 .*209 .*252 .*299 .*350 .*405 same=[-4,-3,-5] [[8,8,0],[-6,4,2],[10,4,2]] gcd=2 [[-8,8,0],[-6,-4,2],[-10,4,-2]] gcd=2 [[8,16,0],[-6,8,8],[10,8,8]] gcd=2 [[-8,16,0],[-6,-8,8],[-10,8,-8]] gcd=2 [[-8,-2,1],[-6,6,0],[-10,2,-1]] [-1,0,-1]*9 [-35,-12,-37] [-77,-36,-85] [-15,-8,-17]*9 [-209,-120,-241] [-299,-180,-349] [-45,-28,-53]*9 [-527,-336,-625] [-665,-432,-793] [-91,-60,-109]*9 [-989,-660,-1189] [-1175,-792,-1417] [-153,-104,-185]*9 [-1595,-1092,-1933] [-1829,-1260,-2221] [[-8,2,1],[6,6,0],[10,2,1]] [-5,12,13] [-3,4,5]*9 [-65,72,97] [-119,120,169] [-21,20,29]*9 [-275,252,373] [-377,336,505] [-55,48,73]*9 [-629,540,829] [-779,660,1021] [-105,88,137]*9 [-1127,936,1465] [-1325,1092,1717] [-171,140,221]*9 [-1769,1440,2281] [[-8,-2,3],[6,14,4],[10,10,5]] [-7,24,25] [-33,56,65] [-3,4,5]*25 [-133,156,205] [-207,224,305] [-297,304,425] [-403,396,565] [-21,20,29]*25 [-663,616,905] [-817,744,1105] [-987,884,1325] [-1173,1036,1565] [-55,48,73]*25 [-1593,1376,2105] [-1827,1564,2405] [[-8,2,3],[-6,14,-4],[-10,10,-5]] [-3,4,-5] [-1,0,-1]*25 [-63,-16,-65] [-117,-44,-125] [-187,-84,-205] [-273,-136,-305] [-15,-8,-17]*25 [-493,-276,-565] [-627,-364,-725] [-777,-464,-905] [-943,-576,-1105] [-45,-28,-53]*25 [-1323,-836,-1565] [-1537,-984,-1825] [-1767,-1144,-2105] [[-8,-10,3],[-6,10,4],[10,2,5]] [-15,8,17] [-1,0,1]*49 [-99,-20,101] [-165,-52,173] [-247,-96,265] [-345,-152,377] [-459,-220,509] [-589,-300,661] [-15,-8,17]*49 [-897,-496,1025] [-1075,-612,1237] [-1269,-740,1469] [-1479,-880,1721] [-1705,-1032,1993] [-1947,-1196,2285] [[-8,10,3],[-6,-10,4],[-10,2,-5]] [5,-12,-13] [-9,-40,-41] [-39,-80,-89] [-85,-132,-157] [-3,-4,-5]*49 [-225,-272,-353] [-319,-360,-481] [-429,-460,-629] [-555,-572,-797] [-697,-696,-985] [-855,-832,-1193] [-21,-20,-29]*49 [-1219,-1140,-1669] [-1425,-1312,-1937] [-1647,-1496,-2225] [[-8,-4,4],[-6,12,0],[-10,4,-4]] gcd=2 [[-8,4,4],[6,12,0],[10,4,4]] gcd=2 [[-8,-12,4],[-6,-9,3],[-10,-15,5]] .*4 .*13 .*26 .*43 .*64 .*89 .*118 .*151 .*188 .*229 .*274 .*323 .*376 .*433 .*494 same=[-4,-3,-5] [[-8,-8,4],[-6,-6,3],[-10,-10,5]] .*3 .*11 .*23 .*39 .*59 .*83 .*111 .*143 .*179 .*219 .*263 .*311 .*363 .*419 .*479 same=[-4,-3,-5] [[-8,-4,4],[-6,-3,3],[-10,-5,5]] .*2 .*9 .*20 .*35 .*54 .*77 .*104 .*135 .*170 .*209 .*252 .*299 .*350 .*405 .*464 same=[-4,-3,-5] [[-8,0,4],[-6,0,3],[-10,0,5]] . .*7 .*17 .*31 .*49 .*71 .*97 .*127 .*161 .*199 .*241 .*287 .*337 .*391 .*449 same=[-4,-3,-5] [[-8,4,4],[-6,3,3],[-10,5,5]] [0,0,0] .*5 .*14 .*27 .*44 .*65 .*90 .*119 .*152 .*189 .*230 .*275 .*324 .*377 .*434 same=[-4,-3,-5] [[-8,8,4],[-6,6,3],[-10,10,5]] [4,3,5] .*3 .*11 .*23 .*39 .*59 .*83 .*111 .*143 .*179 .*219 .*263 .*311 .*363 .*419 same=[-4,-3,-5] [[-8,12,4],[-6,9,3],[-10,15,5]] [4,3,5]*2 . .*8 .*19 .*34 .*53 .*76 .*103 .*134 .*169 .*208 .*251 .*298 .*349 .*404 same=[-4,-3,-5] [[-8,-12,8],[-6,16,6],[10,0,10]] gcd=2 [[-8,12,8],[-6,-16,6],[10,0,10]] gcd=2 [[-8,-12,8],[-6,-9,6],[-10,-15,10]] .*3 .*12 .*25 .*42 .*63 .*88 .*117 .*150 .*187 .*228 .*273 .*322 .*375 .*432 .*493 same=[-4,-3,-5] [[-8,-8,8],[-6,-6,6],[-10,-10,10]] gcd=2 [[-8,-4,8],[-6,-3,6],[-10,-5,10]] . .*8 .*19 .*34 .*53 .*76 .*103 .*134 .*169 .*208 .*251 .*298 .*349 .*404 .*463 same=[-4,-3,-5] [[-8,0,8],[-6,0,6],[-10,0,10]] gcd=2 [[-8,4,8],[-6,3,6],[-10,5,10]] [4,3,5] .*4 .*13 .*26 .*43 .*64 .*89 .*118 .*151 .*188 .*229 .*274 .*323 .*376 .*433 same=[-4,-3,-5] [[-8,8,8],[-6,6,6],[-10,10,10]] gcd=2 [[-8,12,8],[-6,9,6],[-10,15,10]] [4,3,5]*3 [0,0,0] .*7 .*18 .*33 .*52 .*75 .*102 .*133 .*168 .*207 .*250 .*297 .*348 .*403 same=[-4,-3,-5] [[-8,-12,12],[-6,-9,9],[-10,-15,15]] .*2 .*11 .*24 .*41 .*62 .*87 .*116 .*149 .*186 .*227 .*272 .*321 .*374 .*431 .*492 same=[-4,-3,-5] [[-8,-8,12],[-6,-6,9],[-10,-10,15]] . .*9 .*21 .*37 .*57 .*81 .*109 .*141 .*177 .*217 .*261 .*309 .*361 .*417 .*477 same=[-4,-3,-5] [[-8,-4,12],[-6,-3,9],[-10,-5,15]] [0,0,0] .*7 .*18 .*33 .*52 .*75 .*102 .*133 .*168 .*207 .*250 .*297 .*348 .*403 .*462 same=[-4,-3,-5] [[-8,0,12],[-6,0,9],[-10,0,15]] [4,3,5] .*5 .*15 .*29 .*47 .*69 .*95 .*125 .*159 .*197 .*239 .*285 .*335 .*389 .*447 same=[-4,-3,-5] [[-8,4,12],[-6,3,9],[-10,5,15]] [4,3,5]*2 .*3 .*12 .*25 .*42 .*63 .*88 .*117 .*150 .*187 .*228 .*273 .*322 .*375 .*432 same=[-4,-3,-5] [[-8,8,12],[-6,6,9],[-10,10,15]] [4,3,5]*3 . .*9 .*21 .*37 .*57 .*81 .*109 .*141 .*177 .*217 .*261 .*309 .*361 .*417 same=[-4,-3,-5] [[-8,12,12],[-6,9,9],[-10,15,15]] [4,3,5]*4 [4,3,5] .*6 .*17 .*32 .*51 .*74 .*101 .*132 .*167 .*206 .*249 .*296 .*347 .*402 same=[-4,-3,-5] [[8,16,6],[0,8,8],[8,16,10]] gcd=2 [[-8,16,-6],[0,8,-8],[-8,16,-10]] gcd=2 [[8,12,4],[0,4,3],[8,12,5]] [24,7,25] [60,11,61] [112,15,113] [180,19,181] [264,23,265] [364,27,365] [480,31,481] [612,35,613] [760,39,761] [924,43,925] [1104,47,1105] [1300,51,1301] [1512,55,1513] [1740,59,1741] [1984,63,1985] [[-8,12,-4],[0,4,-3],[-8,12,-5]] [0,1,-1] [-12,5,-13] [-40,9,-41] [-84,13,-85] [-144,17,-145] [-220,21,-221] [-312,25,-313] [-420,29,-421] [-544,33,-545] [-684,37,-685] [-840,41,-841] [-1012,45,-1013] [-1200,49,-1201] [-1404,53,-1405] [-1624,57,-1625] [[8,16,0],[0,16,16],[8,16,16]] gcd=8 [[-8,16,0],[0,16,-16],[-8,16,-16]] gcd=8 [[8,12,0],[0,12,9],[8,12,9]] [20,21,29] [56,33,65] [12,5,13]*9 [176,57,185] [260,69,269] [40,9,41]*9 [476,93,485] [608,105,617] [84,13,85]*9 [920,129,929] [1100,141,1109] [144,17,145]*9 [1508,165,1517] [1736,177,1745] [220,21,221]*9 [[-8,12,0],[0,12,-9],[-8,12,-9]] [4,3,-5] [-8,15,-17] [-4,3,-5]*9 [-80,39,-89] [-140,51,-149] [-24,7,-25]*9 [-308,75,-317] [-416,87,-425] [-60,11,-61]*9 [-680,111,-689] [-836,123,-845] [-112,15,-113]*9 [-1196,147,-1205] [-1400,159,-1409] [-180,19,-181]*9 [[8,8,0],[0,8,4],[8,8,4]] gcd=4 [[-8,8,0],[0,8,-4],[-8,8,-4]] gcd=4 [[8,4,0],[0,4,1],[8,4,1]] [12,5,13] [40,9,41] [84,13,85] [144,17,145] [220,21,221] [312,25,313] [420,29,421] [544,33,545] [684,37,685] [840,41,841] [1012,45,1013] [1200,49,1201] [1404,53,1405] [1624,57,1625] [1860,61,1861] [[-8,4,0],[0,4,-1],[-8,4,-1]] [-4,3,-5] [-24,7,-25] [-60,11,-61] [-112,15,-113] [-180,19,-181] [-264,23,-265] [-364,27,-365] [-480,31,-481] [-612,35,-613] [-760,39,-761] [-924,43,-925] [-1104,47,-1105] [-1300,51,-1301] [-1512,55,-1513] [-1740,59,-1741] [[-8,0,2],[0,8,0],[8,0,2]] gcd=2 [[-8,-4,4],[0,12,3],[8,4,5]] [-8,15,17] [-4,3,5]*9 [-80,39,89] [-140,51,149] [-24,7,25]*9 [-308,75,317] [-416,87,425] [-60,11,61]*9 [-680,111,689] [-836,123,845] [-112,15,113]*9 [-1196,147,1205] [-1400,159,1409] [-180,19,181]*9 [-1856,183,1865] [[-8,4,4],[0,12,-3],[-8,4,-5]] [0,1,-1]*9 [-20,21,-29] [-56,33,-65] [-12,5,-13]*9 [-176,57,-185] [-260,69,-269] [-40,9,-41]*9 [-476,93,-485] [-608,105,-617] [-84,13,-85]*9 [-920,129,-929] [-1100,141,-1109] [-144,17,-145]*9 [-1508,165,-1517] [-1736,177,-1745] [[-8,-8,6],[0,16,8],[8,8,10]] gcd=2 [[-8,8,6],[0,16,-8],[-8,8,-10]] gcd=2 [[-8,0,8],[0,16,0],[8,0,8]] gcd=8 [[7,14,0],[0,14,14],[7,14,14]] gcd=7 [[-7,14,0],[0,14,-14],[-7,14,-14]] gcd=7 [[-7,0,7],[0,14,0],[7,0,7]] gcd=7 [[6,12,0],[0,12,12],[6,12,12]] gcd=6 [[-6,12,0],[0,12,-12],[-6,12,-12]] gcd=6 [[6,6,0],[0,6,3],[6,6,3]] gcd=3 [[-6,6,0],[0,6,-3],[-6,6,-3]] gcd=3 [[-6,0,6],[0,12,0],[6,0,6]] gcd=6 [[5,10,0],[0,10,10],[5,10,10]] gcd=5 [[-5,10,0],[0,10,-10],[-5,10,-10]] gcd=5 [[-5,0,5],[0,10,0],[5,0,5]] gcd=5 [[4,12,12],[3,9,9],[5,15,15]] .*7 .*13 .*21 .*31 .*43 .*57 .*73 .*91 .*111 .*133 .*157 .*183 .*211 .*241 .*273 same=[4,3,5] [[4,8,12],[3,6,9],[5,10,15]] .*6 .*11 .*18 .*27 .*38 .*51 .*66 .*83 .*102 .*123 .*146 .*171 .*198 .*227 .*258 same=[4,3,5] [[4,4,12],[3,3,9],[5,5,15]] .*5 .*9 .*15 .*23 .*33 .*45 .*59 .*75 .*93 .*113 .*135 .*159 .*185 .*213 .*243 same=[4,3,5] [[4,0,12],[3,0,9],[5,0,15]] .*4 .*7 .*12 .*19 .*28 .*39 .*52 .*67 .*84 .*103 .*124 .*147 .*172 .*199 .*228 same=[4,3,5] [[-4,4,-12],[-3,3,-9],[-5,5,-15]] .*3 .*5 .*9 .*15 .*23 .*33 .*45 .*59 .*75 .*93 .*113 .*135 .*159 .*185 .*213 same=[-4,-3,-5] [[-4,8,-12],[-3,6,-9],[-5,10,-15]] .*2 .*3 .*6 .*11 .*18 .*27 .*38 .*51 .*66 .*83 .*102 .*123 .*146 .*171 .*198 same=[-4,-3,-5] [[-4,12,-12],[-3,9,-9],[-5,15,-15]] . . .*3 .*7 .*13 .*21 .*31 .*43 .*57 .*73 .*91 .*111 .*133 .*157 .*183 same=[-4,-3,-5] [[4,14,12],[3,8,5],[5,16,13]] [15,8,17]*2 [56,33,65] [45,28,53]*2 [132,85,157] [91,60,109]*2 [240,161,289] [153,104,185]*2 [380,261,461] [231,160,281]*2 [552,385,673] [325,228,397]*2 [756,533,925] [435,308,533]*2 [992,705,1217] [561,400,689]*2 [[-4,14,-12],[-3,8,-5],[-5,16,-13]] [-1,0,-1]*2 [0,-1,-1] [-3,-4,-5]*2 [-20,-21,-29] [-21,-20,-29]*2 [-72,-65,-97] [-55,-48,-73]*2 [-156,-133,-205] [-105,-88,-137]*2 [-272,-225,-353] [-171,-140,-221]*2 [-420,-341,-541] [-253,-204,-325]*2 [-600,-481,-769] [-351,-280,-449]*2 [[4,16,12],[-3,-2,5],[5,14,13]] [1,0,1]*32 [60,-11,61] [24,-7,25]*4 [140,-51,149] [12,-5,13]*16 [252,-115,277] [80,-39,89]*4 [396,-203,445] [15,-8,17]*32 [572,-315,653] [168,-95,193]*4 [780,-451,901] [56,-33,65]*16 [1020,-611,1189] [288,-175,337]*4 [[-4,16,-12],[-3,2,5],[-5,14,-13]] [0,1,-1]*4 [4,-3,-5] [0,-1,-1]*16 [-12,-35,-37] [-8,-15,-17]*4 [-60,-91,-109] [-3,-4,-5]*32 [-140,-171,-221] [-48,-55,-73]*4 [-252,-275,-373] [-20,-21,-29]*16 [-396,-403,-565] [-120,-119,-169]*4 [-572,-555,-797] [-21,-20,-29]*32 [[4,12,8],[3,9,6],[5,15,10]] .*6 .*12 .*20 .*30 .*42 .*56 .*72 .*90 .*110 .*132 .*156 .*182 .*210 .*240 .*272 same=[4,3,5] [[4,8,8],[3,6,6],[5,10,10]] .*5 .*10 .*17 .*26 .*37 .*50 .*65 .*82 .*101 .*122 .*145 .*170 .*197 .*226 .*257 same=[4,3,5] [[4,4,8],[3,3,6],[5,5,10]] .*4 .*8 .*14 .*22 .*32 .*44 .*58 .*74 .*92 .*112 .*134 .*158 .*184 .*212 .*242 same=[4,3,5] [[4,0,8],[3,0,6],[5,0,10]] .*3 .*6 .*11 .*18 .*27 .*38 .*51 .*66 .*83 .*102 .*123 .*146 .*171 .*198 .*227 same=[4,3,5] [[-4,4,-8],[-3,3,-6],[-5,5,-10]] .*2 .*4 .*8 .*14 .*22 .*32 .*44 .*58 .*74 .*92 .*112 .*134 .*158 .*184 .*212 same=[-4,-3,-5] [[-4,8,-8],[-3,6,-6],[-5,10,-10]] . .*2 .*5 .*10 .*17 .*26 .*37 .*50 .*65 .*82 .*101 .*122 .*145 .*170 .*197 same=[-4,-3,-5] [[-4,12,-8],[-3,9,-6],[-5,15,-10]] [0,0,0] [0,0,0] .*2 .*6 .*12 .*20 .*30 .*42 .*56 .*72 .*90 .*110 .*132 .*156 .*182 same=[-4,-3,-5] [[4,12,8],[3,4,0],[5,12,8]] [24,7,25] [12,5,13]*4 [80,39,89] [15,8,17]*8 [168,95,193] [56,33,65]*4 [288,175,337] [45,28,53]*8 [440,279,521] [132,85,157]*4 [624,407,745] [91,60,109]*8 [840,559,1009] [240,161,289]*4 [1088,735,1313] [[-4,12,-8],[-3,4,0],[-5,12,-8]] [0,1,-1] [0,-1,-1]*4 [-8,-15,-17] [-3,-4,-5]*8 [-48,-55,-73] [-20,-21,-29]*4 [-120,-119,-169] [-21,-20,-29]*8 [-224,-207,-305] [-72,-65,-97]*4 [-360,-319,-481] [-55,-48,-73]*8 [-528,-455,-697] [-156,-133,-205]*4 [-728,-615,-953] [[4,10,6],[3,10,8],[5,14,10]] [20,21,29] [21,20,29]*2 [72,65,97] [55,48,73]*2 [156,133,205] [105,88,137]*2 [272,225,353] [171,140,221]*2 [420,341,541] [253,204,325]*2 [600,481,769] [351,280,449]*2 [812,645,1037] [465,368,593]*2 [1056,833,1345] [[-4,10,-6],[-3,10,-8],[-5,14,-10]] [0,-1,-1] [-1,0,-1]*2 [-12,-5,-13] [-15,-8,-17]*2 [-56,-33,-65] [-45,-28,-53]*2 [-132,-85,-157] [-91,-60,-109]*2 [-240,-161,-289] [-153,-104,-185]*2 [-380,-261,-461] [-231,-160,-281]*2 [-552,-385,-673] [-325,-228,-397]*2 [-756,-533,-925] [[4,14,6],[-3,2,8],[5,10,10]] [24,7,25] [1,0,1]*50 [84,-13,85] [63,-16,65]*2 [176,-57,185] [117,-44,125]*2 [12,-5,13]*25 [187,-84,205]*2 [456,-217,505] [273,-136,305]*2 [644,-333,725] [15,-8,17]*50 [864,-473,985] [493,-276,565]*2 [1116,-637,1285] [[-4,14,-6],[-3,-2,8],[-5,10,-10]] [4,3,-5] [3,-4,-5]*2 [0,-1,-1]*25 [-7,-24,-25]*2 [-36,-77,-85] [-33,-56,-65]*2 [-104,-153,-185] [-3,-4,-5]*50 [-204,-253,-325] [-133,-156,-205]*2 [-336,-377,-505] [-207,-224,-305]*2 [-20,-21,-29]*25 [-297,-304,-425]*2 [-696,-697,-985] [[4,12,4],[3,9,3],[5,15,5]] .*5 .*11 .*19 .*29 .*41 .*55 .*71 .*89 .*109 .*131 .*155 .*181 .*209 .*239 .*271 same=[4,3,5] [[4,8,4],[3,6,3],[5,10,5]] .*4 .*9 .*16 .*25 .*36 .*49 .*64 .*81 .*100 .*121 .*144 .*169 .*196 .*225 .*256 same=[4,3,5] [[4,4,4],[3,3,3],[5,5,5]] .*3 .*7 .*13 .*21 .*31 .*43 .*57 .*73 .*91 .*111 .*133 .*157 .*183 .*211 .*241 same=[4,3,5] [[4,0,4],[3,0,3],[5,0,5]] .*2 .*5 .*10 .*17 .*26 .*37 .*50 .*65 .*82 .*101 .*122 .*145 .*170 .*197 .*226 same=[4,3,5] [[-4,4,-4],[-3,3,-3],[-5,5,-5]] . .*3 .*7 .*13 .*21 .*31 .*43 .*57 .*73 .*91 .*111 .*133 .*157 .*183 .*211 same=[-4,-3,-5] [[-4,8,-4],[-3,6,-3],[-5,10,-5]] [0,0,0] . .*4 .*9 .*16 .*25 .*36 .*49 .*64 .*81 .*100 .*121 .*144 .*169 .*196 same=[-4,-3,-5] [[-4,12,-4],[-3,9,-3],[-5,15,-5]] [4,3,5] [4,3,5] . .*5 .*11 .*19 .*29 .*41 .*55 .*71 .*89 .*109 .*131 .*155 .*181 same=[-4,-3,-5] [[4,10,4],[-3,0,3],[5,8,5]] [1,0,1]*18 [40,-9,41] [35,-12,37]*2 [12,-5,13]*9 [77,-36,85]*2 [208,-105,233] [15,-8,17]*18 [340,-189,389] [209,-120,241]*2 [56,-33,65]*9 [299,-180,349]*2 [700,-429,821] [45,-28,53]*18 [928,-585,1097] [527,-336,625]*2 [[-4,10,-4],[-3,0,3],[-5,8,-5]] [1,0,-1]*2 [0,-1,-1]*9 [-5,-12,-13]*2 [-28,-45,-53] [-3,-4,-5]*18 [-88,-105,-137] [-65,-72,-97]*2 [-20,-21,-29]*9 [-119,-120,-169]*2 [-304,-297,-425] [-21,-20,-29]*18 [-460,-429,-629] [-275,-252,-373]*2 [-72,-65,-97]*9 [-377,-336,-505]*2 [[4,6,2],[3,2,0],[5,6,2]] [12,5,13] [15,8,17]*2 [56,33,65] [45,28,53]*2 [132,85,157] [91,60,109]*2 [240,161,289] [153,104,185]*2 [380,261,461] [231,160,281]*2 [552,385,673] [325,228,397]*2 [756,533,925] [435,308,533]*2 [992,705,1217] [[-4,6,-2],[-3,2,0],[-5,6,-2]] [0,-1,-1] [-3,-4,-5]*2 [-20,-21,-29] [-21,-20,-29]*2 [-72,-65,-97] [-55,-48,-73]*2 [-156,-133,-205] [-105,-88,-137]*2 [-272,-225,-353] [-171,-140,-221]*2 [-420,-341,-541] [-253,-204,-325]*2 [-600,-481,-769] [-351,-280,-449]*2 [-812,-645,-1037] [[4,8,0],[3,16,16],[5,16,16]] [12,35,37] [8,15,17]*4 [60,91,109] [3,4,5]*32 [140,171,221] [48,55,73]*4 [252,275,373] [20,21,29]*16 [396,403,565] [120,119,169]*4 [572,555,797] [21,20,29]*32 [780,731,1069] [224,207,305]*4 [1020,931,1381] [[-4,8,0],[-3,16,-16],[-5,16,-16]] [4,-3,-5] [0,1,-1]*4 [-12,5,-13] [-1,0,-1]*32 [-60,-11,-61] [-24,-7,-25]*4 [-140,-51,-149] [-12,-5,-13]*16 [-252,-115,-277] [-80,-39,-89]*4 [-396,-203,-445] [-15,-8,-17]*32 [-572,-315,-653] [-168,-95,-193]*4 [-780,-451,-901] [[4,6,0],[3,12,9],[5,12,9]] [5,12,13]*2 [28,45,53] [3,4,5]*18 [88,105,137] [65,72,97]*2 [20,21,29]*9 [119,120,169]*2 [304,297,425] [21,20,29]*18 [460,429,629] [275,252,373]*2 [72,65,97]*9 [377,336,505]*2 [868,765,1157] [55,48,73]*18 [[-4,6,0],[-3,12,-9],[-5,12,-9]] [1,0,-1]*2 [-4,3,-5] [-1,0,-1]*18 [-40,-9,-41] [-35,-12,-37]*2 [-12,-5,-13]*9 [-77,-36,-85]*2 [-208,-105,-233] [-15,-8,-17]*18 [-340,-189,-389] [-209,-120,-241]*2 [-56,-33,-65]*9 [-299,-180,-349]*2 [-700,-429,-821] [-45,-28,-53]*18 [[4,4,0],[3,8,4],[5,8,4]] [8,15,17] [3,4,5]*8 [48,55,73] [20,21,29]*4 [120,119,169] [21,20,29]*8 [224,207,305] [72,65,97]*4 [360,319,481] [55,48,73]*8 [528,455,697] [156,133,205]*4 [728,615,953] [105,88,137]*8 [960,799,1249] [[-4,4,0],[-3,8,-4],[-5,8,-4]] [0,1,-1] [-1,0,-1]*8 [-24,-7,-25] [-12,-5,-13]*4 [-80,-39,-89] [-15,-8,-17]*8 [-168,-95,-193] [-56,-33,-65]*4 [-288,-175,-337] [-45,-28,-53]*8 [-440,-279,-521] [-132,-85,-157]*4 [-624,-407,-745] [-91,-60,-109]*8 [-840,-559,-1009] [[4,2,0],[3,4,1],[5,4,1]] [3,4,5]*2 [20,21,29] [21,20,29]*2 [72,65,97] [55,48,73]*2 [156,133,205] [105,88,137]*2 [272,225,353] [171,140,221]*2 [420,341,541] [253,204,325]*2 [600,481,769] [351,280,449]*2 [812,645,1037] [465,368,593]*2 [[-4,2,0],[-3,4,-1],[-5,4,-1]] [-1,0,-1]*2 [-12,-5,-13] [-15,-8,-17]*2 [-56,-33,-65] [-45,-28,-53]*2 [-132,-85,-157] [-91,-60,-109]*2 [-240,-161,-289] [-153,-104,-185]*2 [-380,-261,-461] [-231,-160,-281]*2 [-552,-385,-673] [-325,-228,-397]*2 [-756,-533,-925] [-435,-308,-533]*2 [[4,12,0],[3,9,0],[5,15,0]] .*4 .*10 .*18 .*28 .*40 .*54 .*70 .*88 .*108 .*130 .*154 .*180 .*208 .*238 .*270 same=[4,3,5] [[4,8,0],[3,6,0],[5,10,0]] .*3 .*8 .*15 .*24 .*35 .*48 .*63 .*80 .*99 .*120 .*143 .*168 .*195 .*224 .*255 same=[4,3,5] [[4,4,0],[3,3,0],[5,5,0]] .*2 .*6 .*12 .*20 .*30 .*42 .*56 .*72 .*90 .*110 .*132 .*156 .*182 .*210 .*240 same=[4,3,5] [[4,0,0],[3,0,0],[5,0,0]] . .*4 .*9 .*16 .*25 .*36 .*49 .*64 .*81 .*100 .*121 .*144 .*169 .*196 .*225 same=[4,3,5] [[-4,4,0],[-3,3,0],[-5,5,0]] [0,0,0] .*2 .*6 .*12 .*20 .*30 .*42 .*56 .*72 .*90 .*110 .*132 .*156 .*182 .*210 same=[-4,-3,-5] [[-4,8,0],[-3,6,0],[-5,10,0]] [4,3,5] [0,0,0] .*3 .*8 .*15 .*24 .*35 .*48 .*63 .*80 .*99 .*120 .*143 .*168 .*195 same=[-4,-3,-5] [[-4,12,0],[-3,9,0],[-5,15,0]] [4,3,5]*2 [4,3,5]*2 [0,0,0] .*4 .*10 .*18 .*28 .*40 .*54 .*70 .*88 .*108 .*130 .*154 .*180 same=[-4,-3,-5] [[4,4,0],[-3,2,1],[5,2,1]] [1,0,1]*8 [24,-7,25] [12,-5,13]*4 [80,-39,89] [15,-8,17]*8 [168,-95,193] [56,-33,65]*4 [288,-175,337] [45,-28,53]*8 [440,-279,521] [132,-85,157]*4 [624,-407,745] [91,-60,109]*8 [840,-559,1009] [240,-161,289]*4 [[-4,4,0],[-3,-2,1],[-5,2,-1]] [0,-1,-1]*4 [-8,-15,-17] [-3,-4,-5]*8 [-48,-55,-73] [-20,-21,-29]*4 [-120,-119,-169] [-21,-20,-29]*8 [-224,-207,-305] [-72,-65,-97]*4 [-360,-319,-481] [-55,-48,-73]*8 [-528,-455,-697] [-156,-133,-205]*4 [-728,-615,-953] [-105,-88,-137]*8 [[4,8,0],[-3,4,4],[5,4,4]] [12,5,13] [1,0,1]*32 [60,-11,61] [24,-7,25]*4 [140,-51,149] [12,-5,13]*16 [252,-115,277] [80,-39,89]*4 [396,-203,445] [15,-8,17]*32 [572,-315,653] [168,-95,193]*4 [780,-451,901] [56,-33,65]*16 [1020,-611,1189] [[-4,8,0],[-3,-4,4],[-5,4,-4]] [4,-3,-5] [0,-1,-1]*16 [-12,-35,-37] [-8,-15,-17]*4 [-60,-91,-109] [-3,-4,-5]*32 [-140,-171,-221] [-48,-55,-73]*4 [-252,-275,-373] [-20,-21,-29]*16 [-396,-403,-565] [-120,-119,-169]*4 [-572,-555,-797] [-21,-20,-29]*32 [-780,-731,-1069] [[4,12,0],[-3,6,9],[5,6,9]] [4,3,5]*4 [40,9,41] [1,0,1]*72 [112,-15,113] [40,-9,41]*4 [24,-7,25]*9 [35,-12,37]*8 [352,-135,377] [12,-5,13]*36 [520,-231,569] [77,-36,85]*8 [80,-39,89]*9 [208,-105,233]*4 [952,-495,1073] [15,-8,17]*72 [[-4,12,0],[-3,-6,9],[-5,6,-9]] [1,0,-1]*8 [8,-15,-17] [0,-1,-1]*36 [-16,-63,-65] [-5,-12,-13]*8 [-8,-15,-17]*9 [-28,-45,-53]*4 [-160,-231,-281] [-3,-4,-5]*72 [-280,-351,-449] [-88,-105,-137]*4 [-48,-55,-73]*9 [-65,-72,-97]*8 [-616,-663,-905] [-20,-21,-29]*36 [[4,16,0],[-3,8,16],[5,8,16]] [20,21,29] [12,5,13]*4 [84,13,85] [1,0,1]*128 [180,-19,181] [60,-11,61]*4 [308,-75,317] [24,-7,25]*16 [468,-155,493] [140,-51,149]*4 [660,-259,709] [12,-5,13]*64 [884,-387,965] [252,-115,277]*4 [1140,-539,1261] [[-4,16,0],[-3,-8,16],[-5,8,-16]] [12,5,-13] [4,-3,-5]*4 [12,-35,-37] [0,-1,-1]*64 [-20,-99,-101] [-12,-35,-37]*4 [-84,-187,-205] [-8,-15,-17]*16 [-180,-299,-349] [-60,-91,-109]*4 [-308,-435,-533] [-3,-4,-5]*128 [-468,-595,-757] [-140,-171,-221]*4 [-660,-779,-1021] [[-4,-2,2],[-3,6,0],[-5,2,-2]] [-4,3,-5] [-1,0,-1]*18 [-40,-9,-41] [-35,-12,-37]*2 [-12,-5,-13]*9 [-77,-36,-85]*2 [-208,-105,-233] [-15,-8,-17]*18 [-340,-189,-389] [-209,-120,-241]*2 [-56,-33,-65]*9 [-299,-180,-349]*2 [-700,-429,-821] [-45,-28,-53]*18 [-928,-585,-1097] [[-4,2,2],[3,6,0],[5,2,2]] [0,1,1]*9 [-5,12,13]*2 [-28,45,53] [-3,4,5]*18 [-88,105,137] [-65,72,97]*2 [-20,21,29]*9 [-119,120,169]*2 [-304,297,425] [-21,20,29]*18 [-460,429,629] [-275,252,373]*2 [-72,65,97]*9 [-377,336,505]*2 [-868,765,1157] [[-4,0,4],[3,10,3],[5,6,5]] [0,1,1]*16 [-12,35,37] [-8,15,17]*4 [-60,91,109] [-3,4,5]*32 [-140,171,221] [-48,55,73]*4 [-252,275,373] [-20,21,29]*16 [-396,403,565] [-120,119,169]*4 [-572,555,797] [-21,20,29]*32 [-780,731,1069] [-224,207,305]*4 [[-4,0,4],[-3,10,-3],[-5,6,-5]] [0,1,-1]*4 [-12,5,-13] [-1,0,-1]*32 [-60,-11,-61] [-24,-7,-25]*4 [-140,-51,-149] [-12,-5,-13]*16 [-252,-115,-277] [-80,-39,-89]*4 [-396,-203,-445] [-15,-8,-17]*32 [-572,-315,-653] [-168,-95,-193]*4 [-780,-451,-901] [-56,-33,-65]*16 [[-4,-6,4],[-3,8,3],[5,0,5]] [-3,4,5]*2 [-24,7,25] [-1,0,1]*50 [-84,-13,85] [-63,-16,65]*2 [-176,-57,185] [-117,-44,125]*2 [-12,-5,13]*25 [-187,-84,205]*2 [-456,-217,505] [-273,-136,305]*2 [-644,-333,725] [-15,-8,17]*50 [-864,-473,985] [-493,-276,565]*2 [[-4,6,4],[-3,-8,3],[5,0,5]] [3,-4,5]*2 [0,-1,1]*25 [-7,-24,25]*2 [-36,-77,85] [-33,-56,65]*2 [-104,-153,185] [-3,-4,5]*50 [-204,-253,325] [-133,-156,205]*2 [-336,-377,505] [-207,-224,305]*2 [-20,-21,29]*25 [-297,-304,425]*2 [-696,-697,985] [-403,-396,565]*2 [[-4,-12,4],[-3,-9,3],[-5,-15,5]] .*3 .*9 .*17 .*27 .*39 .*53 .*69 .*87 .*107 .*129 .*153 .*179 .*207 .*237 .*269 same=[-4,-3,-5] [[-4,-8,4],[-3,-6,3],[-5,-10,5]] .*2 .*7 .*14 .*23 .*34 .*47 .*62 .*79 .*98 .*119 .*142 .*167 .*194 .*223 .*254 same=[-4,-3,-5] [[-4,-4,4],[-3,-3,3],[-5,-5,5]] . .*5 .*11 .*19 .*29 .*41 .*55 .*71 .*89 .*109 .*131 .*155 .*181 .*209 .*239 same=[-4,-3,-5] [[-4,0,4],[-3,0,3],[-5,0,5]] [0,0,0] .*3 .*8 .*15 .*24 .*35 .*48 .*63 .*80 .*99 .*120 .*143 .*168 .*195 .*224 same=[-4,-3,-5] [[-4,4,4],[-3,3,3],[-5,5,5]] [4,3,5] . .*5 .*11 .*19 .*29 .*41 .*55 .*71 .*89 .*109 .*131 .*155 .*181 .*209 same=[-4,-3,-5] [[-4,8,4],[-3,6,3],[-5,10,5]] [4,3,5]*2 [4,3,5] .*2 .*7 .*14 .*23 .*34 .*47 .*62 .*79 .*98 .*119 .*142 .*167 .*194 same=[-4,-3,-5] [[-4,12,4],[-3,9,3],[-5,15,5]] [4,3,5]*3 [4,3,5]*3 [4,3,5] .*3 .*9 .*17 .*27 .*39 .*53 .*69 .*87 .*107 .*129 .*153 .*179 same=[-4,-3,-5] [[-4,-2,6],[3,14,8],[5,10,10]] [0,1,1]*25 [-7,24,25]*2 [-36,77,85] [-33,56,65]*2 [-104,153,185] [-3,4,5]*50 [-204,253,325] [-133,156,205]*2 [-336,377,505] [-207,224,305]*2 [-20,21,29]*25 [-297,304,425]*2 [-696,697,985] [-403,396,565]*2 [-924,893,1285] [[-4,2,6],[-3,14,-8],[-5,10,-10]] [4,3,-5] [-3,4,-5]*2 [-24,7,-25] [-1,0,-1]*50 [-84,-13,-85] [-63,-16,-65]*2 [-176,-57,-185] [-117,-44,-125]*2 [-12,-5,-13]*25 [-187,-84,-205]*2 [-456,-217,-505] [-273,-136,-305]*2 [-644,-333,-725] [-15,-8,-17]*50 [-864,-473,-985] [[-4,-10,6],[-3,10,8],[5,2,10]] [-8,15,17] [-15,8,17]*2 [-60,11,61] [-1,0,1]*98 [-144,-17,145] [-99,-20,101]*2 [-260,-69,269] [-165,-52,173]*2 [-408,-145,433] [-247,-96,265]*2 [-12,-5,13]*49 [-345,-152,377]*2 [-800,-369,881] [-459,-220,509]*2 [-1044,-517,1165] [[-4,10,6],[-3,-10,8],[-5,2,-10]] [12,-5,-13] [5,-12,-13]*2 [0,-1,-1]*49 [-9,-40,-41]*2 [-44,-117,-125] [-39,-80,-89]*2 [-120,-209,-241] [-85,-132,-157]*2 [-228,-325,-397] [-3,-4,-5]*98 [-368,-465,-593] [-225,-272,-353]*2 [-540,-629,-829] [-319,-360,-481]*2 [-744,-817,-1105] [[-4,-4,8],[-3,12,0],[-5,4,-8]] [0,1,-1]*9 [-4,3,-5]*4 [-40,9,-41] [-1,0,-1]*72 [-112,-15,-113] [-40,-9,-41]*4 [-24,-7,-25]*9 [-35,-12,-37]*8 [-352,-135,-377] [-12,-5,-13]*36 [-520,-231,-569] [-77,-36,-85]*8 [-80,-39,-89]*9 [-208,-105,-233]*4 [-952,-495,-1073] [[-4,4,8],[3,12,0],[5,4,8]] [8,15,17] [0,1,1]*36 [-16,63,65] [-5,12,13]*8 [-8,15,17]*9 [-28,45,53]*4 [-160,231,281] [-3,4,5]*72 [-280,351,449] [-88,105,137]*4 [-48,55,73]*9 [-65,72,97]*8 [-616,663,905] [-20,21,29]*36 [-832,855,1193] [[-4,-12,8],[-3,-9,6],[-5,-15,10]] .*2 .*8 .*16 .*26 .*38 .*52 .*68 .*86 .*106 .*128 .*152 .*178 .*206 .*236 .*268 same=[-4,-3,-5] [[-4,-8,8],[-3,-6,6],[-5,-10,10]] . .*6 .*13 .*22 .*33 .*46 .*61 .*78 .*97 .*118 .*141 .*166 .*193 .*222 .*253 same=[-4,-3,-5] [[-4,-4,8],[-3,-3,6],[-5,-5,10]] [0,0,0] .*4 .*10 .*18 .*28 .*40 .*54 .*70 .*88 .*108 .*130 .*154 .*180 .*208 .*238 same=[-4,-3,-5] [[-4,0,8],[-3,0,6],[-5,0,10]] [4,3,5] .*2 .*7 .*14 .*23 .*34 .*47 .*62 .*79 .*98 .*119 .*142 .*167 .*194 .*223 same=[-4,-3,-5] [[-4,4,8],[-3,3,6],[-5,5,10]] [4,3,5]*2 [0,0,0] .*4 .*10 .*18 .*28 .*40 .*54 .*70 .*88 .*108 .*130 .*154 .*180 .*208 same=[-4,-3,-5] [[-4,8,8],[-3,6,6],[-5,10,10]] [4,3,5]*3 [4,3,5]*2 . .*6 .*13 .*22 .*33 .*46 .*61 .*78 .*97 .*118 .*141 .*166 .*193 same=[-4,-3,-5] [[-4,12,8],[-3,9,6],[-5,15,10]] [4,3,5]*4 [4,3,5]*4 [4,3,5]*2 .*2 .*8 .*16 .*26 .*38 .*52 .*68 .*86 .*106 .*128 .*152 .*178 same=[-4,-3,-5] [[-4,-2,12],[-3,16,-5],[-5,8,-13]] [3,4,-5]*2 [-8,15,-17] [-15,8,-17]*2 [-60,11,-61] [-1,0,-1]*98 [-144,-17,-145] [-99,-20,-101]*2 [-260,-69,-269] [-165,-52,-173]*2 [-408,-145,-433] [-247,-96,-265]*2 [-12,-5,-13]*49 [-345,-152,-377]*2 [-800,-369,-881] [-459,-220,-509]*2 [[-4,2,12],[3,16,5],[5,8,13]] [5,12,13]*2 [0,1,1]*49 [-9,40,41]*2 [-44,117,125] [-39,80,89]*2 [-120,209,241] [-85,132,157]*2 [-228,325,397] [-3,4,5]*98 [-368,465,593] [-225,272,353]*2 [-540,629,829] [-319,360,481]*2 [-744,817,1105] [-429,460,629]*2 [[-4,-8,12],[-3,14,5],[-5,2,-13]] [0,1,-1]*16 [-20,21,-29] [-12,5,-13]*4 [-84,13,-85] [-1,0,-1]*128 [-180,-19,-181] [-60,-11,-61]*4 [-308,-75,-317] [-24,-7,-25]*16 [-468,-155,-493] [-140,-51,-149]*4 [-660,-259,-709] [-12,-5,-13]*64 [-884,-387,-965] [-252,-115,-277]*4 [[-4,8,12],[-3,-14,5],[5,2,13]] [4,-3,5]*4 [12,-35,37] [0,-1,1]*64 [-20,-99,101] [-12,-35,37]*4 [-84,-187,205] [-8,-15,17]*16 [-180,-299,349] [-60,-91,109]*4 [-308,-435,533] [-3,-4,5]*128 [-468,-595,757] [-140,-171,221]*4 [-660,-779,1021] [-48,-55,73]*16 [[-4,-12,12],[-3,-9,9],[-5,-15,15]] . .*7 .*15 .*25 .*37 .*51 .*67 .*85 .*105 .*127 .*151 .*177 .*205 .*235 .*267 same=[-4,-3,-5] [[-4,-8,12],[-3,-6,9],[-5,-10,15]] [0,0,0] .*5 .*12 .*21 .*32 .*45 .*60 .*77 .*96 .*117 .*140 .*165 .*192 .*221 .*252 same=[-4,-3,-5] [[-4,-4,12],[-3,-3,9],[-5,-5,15]] [4,3,5] .*3 .*9 .*17 .*27 .*39 .*53 .*69 .*87 .*107 .*129 .*153 .*179 .*207 .*237 same=[-4,-3,-5] [[-4,0,12],[-3,0,9],[-5,0,15]] [4,3,5]*2 . .*6 .*13 .*22 .*33 .*46 .*61 .*78 .*97 .*118 .*141 .*166 .*193 .*222 same=[-4,-3,-5] [[-4,4,12],[-3,3,9],[-5,5,15]] [4,3,5]*3 [4,3,5] .*3 .*9 .*17 .*27 .*39 .*53 .*69 .*87 .*107 .*129 .*153 .*179 .*207 same=[-4,-3,-5] [[-4,8,12],[-3,6,9],[-5,10,15]] [4,3,5]*4 [4,3,5]*3 [0,0,0] .*5 .*12 .*21 .*32 .*45 .*60 .*77 .*96 .*117 .*140 .*165 .*192 same=[-4,-3,-5] [[-4,12,12],[-3,9,9],[-5,15,15]] [4,3,5]*5 [4,3,5]*5 [4,3,5]*3 . .*7 .*15 .*25 .*37 .*51 .*67 .*85 .*105 .*127 .*151 .*177 same=[-4,-3,-5] [[4,12,8],[0,4,6],[4,12,10]] gcd=2 [[-4,12,-8],[0,4,-6],[-4,12,-10]] gcd=2 [[4,12,5],[0,8,12],[4,12,13]] [21,20,29] [45,28,53] [77,36,85] [117,44,125] [165,52,173] [221,60,229] [285,68,293] [357,76,365] [437,84,445] [525,92,533] [621,100,629] [725,108,733] [837,116,845] [957,124,965] [1085,132,1093] [[-4,12,-5],[0,8,-12],[-4,12,-13]] [3,-4,-5] [3,4,-5] [-5,12,-13] [-21,20,-29] [-45,28,-53] [-77,36,-85] [-117,44,-125] [-165,52,-173] [-221,60,-229] [-285,68,-293] [-357,76,-365] [-437,84,-445] [-525,92,-533] [-621,100,-629] [-725,108,-733] [[4,8,3],[0,4,4],[4,8,5]] [15,8,17] [35,12,37] [63,16,65] [99,20,101] [143,24,145] [195,28,197] [255,32,257] [323,36,325] [399,40,401] [483,44,485] [575,48,577] [675,52,677] [783,56,785] [899,60,901] [1023,64,1025] [[-4,8,-3],[0,4,-4],[-4,8,-5]] [1,0,-1] [-3,4,-5] [-15,8,-17] [-35,12,-37] [-63,16,-65] [-99,20,-101] [-143,24,-145] [-195,28,-197] [-255,32,-257] [-323,36,-325] [-399,40,-401] [-483,44,-485] [-575,48,-577] [-675,52,-677] [-783,56,-785] [[4,8,0],[0,8,8],[4,8,8]] gcd=4 [[-4,8,0],[0,8,-8],[-4,8,-8]] gcd=4 [[4,4,0],[0,4,2],[4,4,2]] gcd=2 [[-4,4,0],[0,4,-2],[-4,4,-2]] gcd=2 [[-4,0,1],[0,4,0],[4,0,1]] [-3,4,5] [-15,8,17] [-35,12,37] [-63,16,65] [-99,20,101] [-143,24,145] [-195,28,197] [-255,32,257] [-323,36,325] [-399,40,401] [-483,44,485] [-575,48,577] [-675,52,677] [-783,56,785] [-899,60,901] [[-4,-4,3],[0,8,4],[4,4,5]] [-5,12,13] [-21,20,29] [-45,28,53] [-77,36,85] [-117,44,125] [-165,52,173] [-221,60,229] [-285,68,293] [-357,76,365] [-437,84,445] [-525,92,533] [-621,100,629] [-725,108,733] [-837,116,845] [-957,124,965] [[-4,4,3],[0,8,-4],[-4,4,-5]] [3,4,-5] [-5,12,-13] [-21,20,-29] [-45,28,-53] [-77,36,-85] [-117,44,-125] [-165,52,-173] [-221,60,-229] [-285,68,-293] [-357,76,-365] [-437,84,-445] [-525,92,-533] [-621,100,-629] [-725,108,-733] [-837,116,-845] [[-4,0,4],[0,8,0],[4,0,4]] gcd=4 [[-4,-8,5],[0,12,12],[4,8,13]] [-7,24,25] [-3,4,5]*9 [-55,48,73] [-91,60,109] [-15,8,17]*9 [-187,84,205] [-247,96,265] [-35,12,37]*9 [-391,120,409] [-475,132,493] [-63,16,65]*9 [-667,156,685] [-775,168,793] [-99,20,101]*9 [-1015,192,1033] [[-4,8,5],[0,12,-12],[-4,8,-13]] [1,0,-1]*9 [5,12,-13] [-7,24,-25] [-3,4,-5]*9 [-55,48,-73] [-91,60,-109] [-15,8,-17]*9 [-187,84,-205] [-247,96,-265] [-35,12,-37]*9 [-391,120,-409] [-475,132,-493] [-63,16,-65]*9 [-667,156,-685] [-775,168,-793] [[-4,-4,8],[0,12,6],[4,4,10]] gcd=2 [[-4,4,8],[0,12,-6],[-4,4,-10]] gcd=2 [[-4,0,9],[0,12,0],[4,0,9]] [5,12,13] [-7,24,25] [-3,4,5]*9 [-55,48,73] [-91,60,109] [-15,8,17]*9 [-187,84,205] [-247,96,265] [-35,12,37]*9 [-391,120,409] [-475,132,493] [-63,16,65]*9 [-667,156,685] [-775,168,793] [-99,20,101]*9 [[-4,0,16],[0,16,0],[4,0,16]] gcd=4 [[3,12,9],[0,6,12],[3,12,15]] gcd=3 [[-3,12,-9],[0,6,-12],[-3,12,-15]] gcd=3 [[3,6,0],[0,6,6],[3,6,6]] gcd=3 [[-3,6,0],[0,6,-6],[-3,6,-6]] gcd=3 [[-3,0,3],[0,6,0],[3,0,3]] gcd=3 [[-3,-6,9],[0,12,12],[3,6,15]] gcd=3 [[-3,6,9],[0,12,-12],[-3,6,-15]] gcd=3 [[-3,0,12],[0,12,0],[3,0,12]] gcd=3 [[2,10,12],[0,2,5],[2,10,13]] [24,7,25] [40,9,41] [60,11,61] [84,13,85] [112,15,113] [144,17,145] [180,19,181] [220,21,221] [264,23,265] [312,25,313] [364,27,365] [420,29,421] [480,31,481] [544,33,545] [612,35,613] [[-2,10,-12],[0,2,-5],[-2,10,-13]] [-4,-3,-5] [0,-1,-1] [0,1,-1] [-4,3,-5] [-12,5,-13] [-24,7,-25] [-40,9,-41] [-60,11,-61] [-84,13,-85] [-112,15,-113] [-144,17,-145] [-180,19,-181] [-220,21,-221] [-264,23,-265] [-312,25,-313] [[2,8,6],[0,4,8],[2,8,10]] gcd=2 [[-2,8,-6],[0,4,-8],[-2,8,-10]] gcd=2 [[2,6,4],[0,2,3],[2,6,5]] [12,5,13] [24,7,25] [40,9,41] [60,11,61] [84,13,85] [112,15,113] [144,17,145] [180,19,181] [220,21,221] [264,23,265] [312,25,313] [364,27,365] [420,29,421] [480,31,481] [544,33,545] [[-2,6,-4],[0,2,-3],[-2,6,-5]] [0,-1,-1] [0,1,-1] [-4,3,-5] [-12,5,-13] [-24,7,-25] [-40,9,-41] [-60,11,-61] [-84,13,-85] [-112,15,-113] [-144,17,-145] [-180,19,-181] [-220,21,-221] [-264,23,-265] [-312,25,-313] [-364,27,-365] [[2,8,0],[0,8,16],[2,8,16]] gcd=2 [[-2,8,0],[0,8,-16],[-2,8,-16]] gcd=2 [[2,6,0],[0,6,9],[2,6,9]] [8,15,17] [20,21,29] [4,3,5]*9 [56,33,65] [80,39,89] [12,5,13]*9 [140,51,149] [176,57,185] [24,7,25]*9 [260,69,269] [308,75,317] [40,9,41]*9 [416,87,425] [476,93,485] [60,11,61]*9 [[-2,6,0],[0,6,-9],[-2,6,-9]] [4,-3,-5] [4,3,-5] [0,1,-1]*9 [-8,15,-17] [-20,21,-29] [-4,3,-5]*9 [-56,33,-65] [-80,39,-89] [-12,5,-13]*9 [-140,51,-149] [-176,57,-185] [-24,7,-25]*9 [-260,69,-269] [-308,75,-317] [-40,9,-41]*9 [[2,4,0],[0,4,4],[2,4,4]] gcd=2 [[-2,4,0],[0,4,-4],[-2,4,-4]] gcd=2 [[2,2,0],[0,2,1],[2,2,1]] [4,3,5] [12,5,13] [24,7,25] [40,9,41] [60,11,61] [84,13,85] [112,15,113] [144,17,145] [180,19,181] [220,21,221] [264,23,265] [312,25,313] [364,27,365] [420,29,421] [480,31,481] [[-2,2,0],[0,2,-1],[-2,2,-1]] [0,1,-1] [-4,3,-5] [-12,5,-13] [-24,7,-25] [-40,9,-41] [-60,11,-61] [-84,13,-85] [-112,15,-113] [-144,17,-145] [-180,19,-181] [-220,21,-221] [-264,23,-265] [-312,25,-313] [-364,27,-365] [-420,29,-421] [[-2,0,2],[0,4,0],[2,0,2]] gcd=2 [[-2,-2,4],[0,6,3],[2,2,5]] [0,1,1]*9 [-8,15,17] [-20,21,29] [-4,3,5]*9 [-56,33,65] [-80,39,89] [-12,5,13]*9 [-140,51,149] [-176,57,185] [-24,7,25]*9 [-260,69,269] [-308,75,317] [-40,9,41]*9 [-416,87,425] [-476,93,485] [[-2,2,4],[0,6,-3],[-2,2,-5]] [4,3,-5] [0,1,-1]*9 [-8,15,-17] [-20,21,-29] [-4,3,-5]*9 [-56,33,-65] [-80,39,-89] [-12,5,-13]*9 [-140,51,-149] [-176,57,-185] [-24,7,-25]*9 [-260,69,-269] [-308,75,-317] [-40,9,-41]*9 [-416,87,-425] [[-2,-4,6],[0,8,8],[2,4,10]] gcd=2 [[-2,4,6],[0,8,-8],[-2,4,-10]] gcd=2 [[-2,0,8],[0,8,0],[2,0,8]] gcd=2 [[-2,-2,12],[0,10,5],[2,2,13]] [8,15,17] [0,1,1]*25 [-12,35,37] [-28,45,53] [-48,55,73] [-72,65,97] [-4,3,5]*25 [-132,85,157] [-168,95,193] [-208,105,233] [-252,115,277] [-12,5,13]*25 [-352,135,377] [-408,145,433] [-468,155,493] [[-2,2,12],[0,10,-5],[-2,2,-13]] [12,5,-13] [8,15,-17] [0,1,-1]*25 [-12,35,-37] [-28,45,-53] [-48,55,-73] [-72,65,-97] [-4,3,-5]*25 [-132,85,-157] [-168,95,-193] [-208,105,-233] [-252,115,-277] [-12,5,-13]*25 [-352,135,-377] [-408,145,-433] [[1,6,8],[0,2,6],[1,6,10]] [15,8,17] [12,5,13]*2 [35,12,37] [24,7,25]*2 [63,16,65] [40,9,41]*2 [99,20,101] [60,11,61]*2 [143,24,145] [84,13,85]*2 [195,28,197] [112,15,113]*2 [255,32,257] [144,17,145]*2 [323,36,325] [[-1,6,-8],[0,2,-6],[-1,6,-10]] [-3,-4,-5] [0,-1,-1]*2 [1,0,-1] [0,1,-1]*2 [-3,4,-5] [-4,3,-5]*2 [-15,8,-17] [-12,5,-13]*2 [-35,12,-37] [-24,7,-25]*2 [-63,16,-65] [-40,9,-41]*2 [-99,20,-101] [-60,11,-61]*2 [-143,24,-145] [[1,6,5],[0,4,12],[1,6,13]] [3,4,5]*4 [21,20,29] [4,3,5]*8 [45,28,53] [15,8,17]*4 [77,36,85] [12,5,13]*8 [117,44,125] [35,12,37]*4 [165,52,173] [24,7,25]*8 [221,60,229] [63,16,65]*4 [285,68,293] [40,9,41]*8 [[-1,6,-5],[0,4,-12],[-1,6,-13]] [0,-1,-1]*8 [3,-4,-5] [1,0,-1]*4 [3,4,-5] [0,1,-1]*8 [-5,12,-13] [-3,4,-5]*4 [-21,20,-29] [-4,3,-5]*8 [-45,28,-53] [-15,8,-17]*4 [-77,36,-85] [-12,5,-13]*8 [-117,44,-125] [-35,12,-37]*4 [[1,4,3],[0,2,4],[1,4,5]] [4,3,5]*2 [15,8,17] [12,5,13]*2 [35,12,37] [24,7,25]*2 [63,16,65] [40,9,41]*2 [99,20,101] [60,11,61]*2 [143,24,145] [84,13,85]*2 [195,28,197] [112,15,113]*2 [255,32,257] [144,17,145]*2 [[-1,4,-3],[0,2,-4],[-1,4,-5]] [0,-1,-1]*2 [1,0,-1] [0,1,-1]*2 [-3,4,-5] [-4,3,-5]*2 [-15,8,-17] [-12,5,-13]*2 [-35,12,-37] [-24,7,-25]*2 [-63,16,-65] [-40,9,-41]*2 [-99,20,-101] [-60,11,-61]*2 [-143,24,-145] [-84,13,-85]*2 [[1,4,0],[0,4,8],[1,4,8]] [5,12,13] [3,4,5]*4 [21,20,29] [4,3,5]*8 [45,28,53] [15,8,17]*4 [77,36,85] [12,5,13]*8 [117,44,125] [35,12,37]*4 [165,52,173] [24,7,25]*8 [221,60,229] [63,16,65]*4 [285,68,293] [[-1,4,0],[0,4,-8],[-1,4,-8]] [3,-4,-5] [1,0,-1]*4 [3,4,-5] [0,1,-1]*8 [-5,12,-13] [-3,4,-5]*4 [-21,20,-29] [-4,3,-5]*8 [-45,28,-53] [-15,8,-17]*4 [-77,36,-85] [-12,5,-13]*8 [-117,44,-125] [-35,12,-37]*4 [-165,52,-173] [[1,2,0],[0,2,2],[1,2,2]] [3,4,5] [4,3,5]*2 [15,8,17] [12,5,13]*2 [35,12,37] [24,7,25]*2 [63,16,65] [40,9,41]*2 [99,20,101] [60,11,61]*2 [143,24,145] [84,13,85]*2 [195,28,197] [112,15,113]*2 [255,32,257] [[-1,2,0],[0,2,-2],[-1,2,-2]] [1,0,-1] [0,1,-1]*2 [-3,4,-5] [-4,3,-5]*2 [-15,8,-17] [-12,5,-13]*2 [-35,12,-37] [-24,7,-25]*2 [-63,16,-65] [-40,9,-41]*2 [-99,20,-101] [-60,11,-61]*2 [-143,24,-145] [-84,13,-85]*2 [-195,28,-197] [[-1,0,1],[0,2,0],[1,0,1]] [0,1,1]*2 [-3,4,5] [-4,3,5]*2 [-15,8,17] [-12,5,13]*2 [-35,12,37] [-24,7,25]*2 [-63,16,65] [-40,9,41]*2 [-99,20,101] [-60,11,61]*2 [-143,24,145] [-84,13,85]*2 [-195,28,197] [-112,15,113]*2 [[-1,-2,3],[0,4,4],[1,2,5]] [0,1,1]*8 [-5,12,13] [-3,4,5]*4 [-21,20,29] [-4,3,5]*8 [-45,28,53] [-15,8,17]*4 [-77,36,85] [-12,5,13]*8 [-117,44,125] [-35,12,37]*4 [-165,52,173] [-24,7,25]*8 [-221,60,229] [-63,16,65]*4 [[-1,2,3],[0,4,-4],[-1,2,-5]] [1,0,-1]*4 [3,4,-5] [0,1,-1]*8 [-5,12,-13] [-3,4,-5]*4 [-21,20,-29] [-4,3,-5]*8 [-45,28,-53] [-15,8,-17]*4 [-77,36,-85] [-12,5,-13]*8 [-117,44,-125] [-35,12,-37]*4 [-165,52,-173] [-24,7,-25]*8 [[-1,0,4],[0,4,0],[1,0,4]] [3,4,5] [0,1,1]*8 [-5,12,13] [-3,4,5]*4 [-21,20,29] [-4,3,5]*8 [-45,28,53] [-15,8,17]*4 [-77,36,85] [-12,5,13]*8 [-117,44,125] [-35,12,37]*4 [-165,52,173] [-24,7,25]*8 [-221,60,229] [[-1,-4,5],[0,6,12],[1,4,13]] [0,1,1]*18 [-7,24,25] [-8,15,17]*2 [-3,4,5]*9 [-20,21,29]*2 [-55,48,73] [-4,3,5]*18 [-91,60,109] [-56,33,65]*2 [-15,8,17]*9 [-80,39,89]*2 [-187,84,205] [-12,5,13]*18 [-247,96,265] [-140,51,149]*2 [[-1,4,5],[0,6,-12],[-1,4,-13]] [4,-3,-5]*2 [1,0,-1]*9 [4,3,-5]*2 [5,12,-13] [0,1,-1]*18 [-7,24,-25] [-8,15,-17]*2 [-3,4,-5]*9 [-20,21,-29]*2 [-55,48,-73] [-4,3,-5]*18 [-91,60,-109] [-56,33,-65]*2 [-15,8,-17]*9 [-80,39,-89]*2 [[-1,-2,8],[0,6,6],[1,2,10]] [5,12,13] [0,1,1]*18 [-7,24,25] [-8,15,17]*2 [-3,4,5]*9 [-20,21,29]*2 [-55,48,73] [-4,3,5]*18 [-91,60,109] [-56,33,65]*2 [-15,8,17]*9 [-80,39,89]*2 [-187,84,205] [-12,5,13]*18 [-247,96,265] [[-1,2,8],[0,6,-6],[-1,2,-10]] [1,0,-1]*9 [4,3,-5]*2 [5,12,-13] [0,1,-1]*18 [-7,24,-25] [-8,15,-17]*2 [-3,4,-5]*9 [-20,21,-29]*2 [-55,48,-73] [-4,3,-5]*18 [-91,60,-109] [-56,33,-65]*2 [-15,8,-17]*9 [-80,39,-89]*2 [-187,84,-205] [[-1,0,9],[0,6,0],[1,0,9]] [4,3,5]*2 [5,12,13] [0,1,1]*18 [-7,24,25] [-8,15,17]*2 [-3,4,5]*9 [-20,21,29]*2 [-55,48,73] [-4,3,5]*18 [-91,60,109] [-56,33,65]*2 [-15,8,17]*9 [-80,39,89]*2 [-187,84,205] [-12,5,13]*18 [[-1,0,16],[0,8,0],[1,0,16]] [15,8,17] [3,4,5]*4 [7,24,25] [0,1,1]*32 [-9,40,41] [-5,12,13]*4 [-33,56,65] [-3,4,5]*16 [-65,72,97] [-21,20,29]*4 [-105,88,137] [-4,3,5]*32 [-153,104,185] [-45,28,53]*4 [-209,120,241] [[0,12,12],[0,9,9],[0,15,15]] gcd=3 [[0,8,12],[0,6,9],[0,10,15]] .*5 .*7 .*9 .*11 .*13 .*15 .*17 .*19 .*21 .*23 .*25 .*27 .*29 .*31 .*33 same=[4,3,5] [[0,4,12],[0,3,9],[0,5,15]] .*4 .*5 .*6 .*7 .*8 .*9 .*10 .*11 .*12 .*13 .*14 .*15 .*16 .*17 .*18 same=[4,3,5] [[0,0,12],[0,0,9],[0,0,15]] gcd=3 [[0,4,-12],[0,3,-9],[0,5,-15]] [-4,-3,-5]*2 [-4,-3,-5] [0,0,0] . .*2 .*3 .*4 .*5 .*6 .*7 .*8 .*9 .*10 .*11 .*12 same=[4,3,5] [[0,8,-12],[0,6,-9],[0,10,-15]] [-4,-3,-5] . .*3 .*5 .*7 .*9 .*11 .*13 .*15 .*17 .*19 .*21 .*23 .*25 .*27 same=[4,3,5] [[0,12,-12],[0,9,-9],[0,15,-15]] gcd=3 [[0,12,12],[0,5,5],[0,13,13]] .*2 .*3 .*4 .*5 .*6 .*7 .*8 .*9 .*10 .*11 .*12 .*13 .*14 .*15 .*16 same=[12,5,13] [[0,0,12],[0,0,5],[0,0,13]] . . . . . . . . . . . . . . . same=[12,5,13] [[0,12,-12],[0,5,-5],[0,13,-13]] [0,0,0] . .*2 .*3 .*4 .*5 .*6 .*7 .*8 .*9 .*10 .*11 .*12 .*13 .*14 same=[12,5,13] [[0,12,8],[0,9,6],[0,15,10]] .*5 .*8 .*11 .*14 .*17 .*20 .*23 .*26 .*29 .*32 .*35 .*38 .*41 .*44 .*47 same=[4,3,5] [[0,8,8],[0,6,6],[0,10,10]] gcd=2 [[0,4,8],[0,3,6],[0,5,10]] .*3 .*4 .*5 .*6 .*7 .*8 .*9 .*10 .*11 .*12 .*13 .*14 .*15 .*16 .*17 same=[4,3,5] [[0,0,8],[0,0,6],[0,0,10]] gcd=2 [[0,4,-8],[0,3,-6],[0,5,-10]] [-4,-3,-5] [0,0,0] . .*2 .*3 .*4 .*5 .*6 .*7 .*8 .*9 .*10 .*11 .*12 .*13 same=[4,3,5] [[0,8,-8],[0,6,-6],[0,10,-10]] gcd=2 [[0,12,-8],[0,9,-6],[0,15,-10]] . .*4 .*7 .*10 .*13 .*16 .*19 .*22 .*25 .*28 .*31 .*34 .*37 .*40 .*43 same=[4,3,5] [[0,12,4],[0,9,3],[0,15,5]] .*4 .*7 .*10 .*13 .*16 .*19 .*22 .*25 .*28 .*31 .*34 .*37 .*40 .*43 .*46 same=[4,3,5] [[0,8,4],[0,6,3],[0,10,5]] .*3 .*5 .*7 .*9 .*11 .*13 .*15 .*17 .*19 .*21 .*23 .*25 .*27 .*29 .*31 same=[4,3,5] [[0,4,4],[0,3,3],[0,5,5]] .*2 .*3 .*4 .*5 .*6 .*7 .*8 .*9 .*10 .*11 .*12 .*13 .*14 .*15 .*16 same=[4,3,5] [[0,0,4],[0,0,3],[0,0,5]] . . . . . . . . . . . . . . . same=[4,3,5] [[0,4,-4],[0,3,-3],[0,5,-5]] [0,0,0] . .*2 .*3 .*4 .*5 .*6 .*7 .*8 .*9 .*10 .*11 .*12 .*13 .*14 same=[4,3,5] [[0,8,-4],[0,6,-3],[0,10,-5]] . .*3 .*5 .*7 .*9 .*11 .*13 .*15 .*17 .*19 .*21 .*23 .*25 .*27 .*29 same=[4,3,5] [[0,12,-4],[0,9,-3],[0,15,-5]] .*2 .*5 .*8 .*11 .*14 .*17 .*20 .*23 .*26 .*29 .*32 .*35 .*38 .*41 .*44 same=[4,3,5] [[0,12,0],[0,9,0],[0,15,0]] gcd=3 [[0,12,0],[0,5,0],[0,13,0]] . .*2 .*3 .*4 .*5 .*6 .*7 .*8 .*9 .*10 .*11 .*12 .*13 .*14 .*15 same=[12,5,13] [[0,8,0],[0,6,0],[0,10,0]] gcd=2 [[0,4,0],[0,3,0],[0,5,0]] . .*2 .*3 .*4 .*5 .*6 .*7 .*8 .*9 .*10 .*11 .*12 .*13 .*14 .*15 same=[4,3,5] #---> reslines=143
69dc6dee36a54d43307f4383c19630ff9147593c
efa427de3490f3bb884d8ac0a7d78829ec7990f9
/parity-of-a-number.sce
32ff6c465bf09130080ea40e5b9cc6dc9ffd2d65
[]
no_license
letyrobueno/Scilab
a47648473aa681556561d5cea20659d143e4f492
2f23623dccea89a3ab2db12ec1f615186f785aa4
refs/heads/master
2020-09-01T19:00:30.804237
2019-11-01T17:45:22
2019-11-01T17:45:22
219,031,973
0
0
null
null
null
null
UTF-8
Scilab
false
false
165
sce
parity-of-a-number.sce
// Return if a number is even number = input("Enter a number: ") if modulo(number,2)==0 printf("The number is even.") else printf("The number is odd.") end
120034eec8678ba990562f7041de0f7f6df9efa0
01ecab2f6eeeff384acae2c4861aa9ad1b3f6861
/sci2blif/sci2blif_added_blocks/I_SenseAmp.sce
bccff645c36efc7ce0070c074c830a942e1e962e
[]
no_license
jhasler/rasp30
9a7c2431d56c879a18b50c2d43e487d413ceccb0
3612de44eaa10babd7298d2e0a7cddf4a4b761f6
refs/heads/master
2023-05-25T08:21:31.003675
2023-05-11T16:19:59
2023-05-11T16:19:59
62,917,238
3
3
null
null
null
null
UTF-8
Scilab
false
false
3,763
sce
I_SenseAmp.sce
//**************************** I_SenseAmp ********************************** if (blk_name.entries(bl) == "I_SenseAmp") then for ss=1:scs_m.objs(bl).model.ipar(1) mputl("# I_SenseAmp "+string(bl)+" "+string(scs_m.objs(bl).model.ipar(2))+" "+string(ss),fd_w); sci2blif_str= ".subckt I_SenseAmp"+" in[0]=net"+string(blk(blk_objs(bl),2))+"_"+string(ss)+" in[1]=net"+string(blk(blk_objs(bl),3))+"_"+string(ss)+" out[0]=net"+string(blk(blk_objs(bl),2+numofip))+"_"+string(ss)+" #I_SenseAmp_ls =0"+"&I_SenseAmp_fgota0_ibias ="+string(sprintf('%e',scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(1-1)+ss)))+"&I_SenseAmp_fgota0_pbias ="+string(sprintf('%e',scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(2-1)+ss)))+"&I_SenseAmp_fgota0_nbias ="+string(sprintf('%e',scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(3-1)+ss)))+"&I_SenseAmp_ota0_ibias ="+string(sprintf('%e',scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(4-1)+ss))) sci2blif_str=sci2blif_str+"&"; if scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(5-1)+ss) == 1 then sci2blif_str=sci2blif_str+"I_SenseAmp_cap0_1x_cs =1"; end if scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(5-1)+ss) == 2 then sci2blif_str=sci2blif_str+"I_SenseAmp_cap0_2x_cs =2"; end if scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(5-1)+ss) == 3 then sci2blif_str=sci2blif_str+"I_SenseAmp_cap0_1x_cs =3&I_SenseAmp_cap0_2x_cs =0"; end if scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(5-1)+ss) == 4 then sci2blif_str=sci2blif_str+"I_SenseAmp_cap0_4x_cs =4"; end if scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(5-1)+ss) == 5 then sci2blif_str=sci2blif_str+"I_SenseAmp_cap0_1x_cs =5&I_SenseAmp_cap0_4x_cs =0"; end if scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(5-1)+ss) == 6 then sci2blif_str=sci2blif_str+"I_SenseAmp_cap0_2x_cs =6&I_SenseAmp_cap0_4x_cs =0"; end if scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(5-1)+ss) == 7 then sci2blif_str=sci2blif_str+"I_SenseAmp_cap0_1x_cs =7&I_SenseAmp_cap0_2x_cs =0&I_SenseAmp_cap0_4x_cs =0"; end sci2blif_str=sci2blif_str+"&"; if scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(6-1)+ss) == 1 then sci2blif_str=sci2blif_str+"I_SenseAmp_cap1_1x_cs =1"; end if scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(6-1)+ss) == 2 then sci2blif_str=sci2blif_str+"I_SenseAmp_cap1_2x_cs =2"; end if scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(6-1)+ss) == 3 then sci2blif_str=sci2blif_str+"I_SenseAmp_cap1_1x_cs =3&I_SenseAmp_cap1_2x_cs =0"; end if scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(6-1)+ss) == 4 then sci2blif_str=sci2blif_str+"I_SenseAmp_cap1_4x_cs =4"; end if scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(6-1)+ss) == 5 then sci2blif_str=sci2blif_str+"I_SenseAmp_cap1_1x_cs =5&I_SenseAmp_cap1_4x_cs =0"; end if scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(6-1)+ss) == 6 then sci2blif_str=sci2blif_str+"I_SenseAmp_cap1_2x_cs =6&I_SenseAmp_cap1_4x_cs =0"; end if scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(6-1)+ss) == 7 then sci2blif_str=sci2blif_str+"I_SenseAmp_cap1_1x_cs =7&I_SenseAmp_cap1_2x_cs =0&I_SenseAmp_cap1_4x_cs =0"; end mputl(sci2blif_str,fd_w); mputl(" ",fd_w); if scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(7-1)+1) == 1 then plcvpr = %t; plcloc=[plcloc;'net'+string(blk(blk_objs(bl),2+numofip))+"_"+string(ss),string(scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(7-1)+1+2*ss-1))+' '+string(scs_m.objs(bl).model.rpar(scs_m.objs(bl).model.ipar(1)*(7-1)+1+2*ss))+' 0']; end end end
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/3289/CH8/EX8.4/Ex8_4.sce
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[]
no_license
FOSSEE/Scilab-TBC-Uploads
948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1
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refs/heads/master
2020-04-09T02:43:26.499817
2018-02-03T05:31:52
2018-02-03T05:31:52
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836
sce
Ex8_4.sce
clc dn=0.1 //m do=0.5 //m t=0.08 //m w=6900*(2*%pi/60) //rpm row=7.8*10^3//Ns^2/m^4 E=200*10^9 //Pa v=0.3 b=0.05 c=0.25 //solution a: //ud=((0.05*3.3*0.7)*(0.0025+0.0625-(1.3/3.3)*0.0025+(1.3/0.7)*0.0625)*row*w^2)/(8*E) ud=((0.05*3.3*0.7)*(b^2+c^2-(1.3/3.3)*b^2+(1.3/0.7)*c^2))/(8) disp(ud,"radial displacement of the disk in meter is= ") //us=((0.05*0.7)*(3.3*0.0025-1.3*0.0025)*row*w^2)/(8*E) us=((0.05*0.7)*(3.3*b^2-1.3*b^2))/(8) disp(us,"radial displacement of the shaft in meter is= ") delta=(ud-us)*row*w^2/E disp(delta) //solution b: //p=E*delta*(c^2-b^2)/(2*b*c^2) p=E*delta*(c^2-b^2)/(2*b*c^2) disp(p,"in Pa is= ") sigmathetamax=p*(c^2+b^2)/(c^2-b^2) disp(sigmathetamax,"in Pa is= ") //solution c: sigmathetamax=3.3*(b^2+c^2-(1.9/3.3)*b^2+c^2)*row*w^2/8 disp(sigmathetamax,"in Pa is= ")
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449d555969bfd7befe906877abab098c6e63a0e8
/2282/CH6/EX6.3/ex6_3.sce
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no_license
FOSSEE/Scilab-TBC-Uploads
948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1
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refs/heads/master
2020-04-09T02:43:26.499817
2018-02-03T05:31:52
2018-02-03T05:31:52
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null
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UTF-8
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920
sce
ex6_3.sce
// Example 6.2, page no-230 clear clc t=20 //TDMA frame length in ms lc=352 //length of carrier and clock recovery frequency in bits lu1=48 //length of unique word in bits lo=510 //length of order wire channel in bits lm= 256 //length of management channel in bits lt=320 // length of transmit timming channel in bits ls1=24 // length of service channel in bits gt=64 // Guard time in bits rb=2 // reference burst br=90*10^6 //burst bit rate 90Mbps dr= 64*10^3 //data rate 64 kbps bfr=br*t*10^-3 lr=lc+lu1+lo+lm+lt tb=lc+lu1+lo+ls1 tob=(lr*rb)+(tb*t)+((t+rb)*gt) feff=(bfr-tob)*100/bfr feff=ceil(feff*100)/100 vsb=dr*t*10^-3 x=bfr*feff/100 printf("The number of bits in a frame for a voice sub-burst is %d\n\n The total no of bits available in a frame for carrying traffic is %d\n\n Maximum no of PCM voice channels in a frame is %d channels",vsb,x,x/vsb)
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/Test/Previous/parse.tst
b4b482727dec43464f96b7c7e95fc504b5bb8e0e
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no_license
hermetique/lsl
e8385820db92e4f077380933eb86160283f5231c
a1d154ec428722a9193fe03502c04eb21ced40e1
refs/heads/master
2021-10-10T01:42:52.349919
2019-01-05T23:02:33
2019-01-05T23:02:33
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tst
parse.tst
************************************** Testing ../Code/lsl -i ../LSL/lslinit.lsi ************************************** ************* Test input from parse01.lsl *********** Finished checking LSL traits ************* End of input from parse01.lsl ********* ************* Test input from parse02.lsl *********** Finished checking LSL traits ************* End of input from parse02.lsl ********* ************* Test input from parse03.lsl *********** Finished checking LSL traits ************* End of input from parse03.lsl ********* ************* Test input from parse04.lsl *********** Finished checking LSL traits ************* End of input from parse04.lsl ********* ************* Test input from parse05.lsl *********** ./parse05.lsl:28,34: expecting parentheses to specify associativity Abort: error in checking LSL traits ************* End of input from parse05.lsl ********* ************* Test input from parse06.lsl *********** Finished checking LSL traits ************* End of input from parse06.lsl ********* ************* Test input from parse07.lsl *********** Finished checking LSL traits ************* End of input from parse07.lsl ********* ************* Test input from parse08.lsl *********** Finished checking LSL traits ************* End of input from parse08.lsl ********* ************* Test input from parse09.lsl *********** ./parse09.lsl:12,16: `parse09' implication of trait containing new operator ./parse09.lsl:6,16: `__ + __' is the new operator ./parse09.lsl:12,16: `parse09' implication of trait containing new operator ./parse09.lsl:6,23: `__ * __' is the new operator Abort: error in checking LSL traits ************* End of input from parse09.lsl ********* ************* Test input from parse10.lsl *********** Finished checking LSL traits ************* End of input from parse10.lsl ********* ************* Test input from parse11.lsl *********** Finished checking LSL traits ************* End of input from parse11.lsl ********* ************* Test input from parse12.lsl *********** Finished checking LSL traits ************* End of input from parse12.lsl ********* ************* Test input from parse13.lsl *********** Finished checking LSL traits ************* End of input from parse13.lsl ********* ************* Test input from parse14.lsl *********** Finished checking LSL traits ************* End of input from parse14.lsl ********* ************* Test input from parseError01.lsl *********** ./parseError01.lsl:5,22: expecting parentheses to specify associativity Abort: error in checking LSL traits ************* End of input from parseError01.lsl ********* ************* Test input from parseError02.lsl *********** ./parseError02.lsl:6,9: not expecting tokens after trait definition Abort: error in checking LSL traits ************* End of input from parseError02.lsl *********