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Ex5_3.sce
//Example 5-3, Page No - 162 clear clc mf = 2.2 fd = 7.48*10^3 fm = fd/mf printf('The maximum modulating frequency is %.1f Khz',fm/1000)
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2023-05-31T04:06:22.931111
2022-09-13T14:41:51
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norm.man.tst
clear;lines(0); A=[1,2,3]; norm(A,1) norm(A,'inf') A=[1,2;3,4] max(svd(A))-norm(A) A=sparse([1 0 0 33 -1]) norm(A)
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2021-01-02T22:41:21.556896
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clear; clc; //###############################Método da falsa posição#############################################// function tabela (A) if A<0 then mprintf (" %1.7f",A); else mprintf (" %1.7f",A); end; endfunction; deff ('y=f(x)','y=x^2 -3');//Função FUNC='x^2 -3';//printf da lei de formação da função xa=1.0; xb=2.0; ep=0.01; Nmax=100; k=0; mprintf ("///////////////////Método da Falsa posição///////////////////"); disp(""); xm=(xa*f(xb)-xb*f(xa))/(f(xb)-f(xa)); mprintf (" Para a função: %s\n No intervalo [%.1f , %.1f] e precisão %.7f\n\n", FUNC, xa, xb, ep); mprintf (" # xa xb xm f(xa) f(xb) f(xm) xa-xb"); disp (""); mprintf (" 0%i",k); tabela (xa); tabela (xb); tabela (xm); tabela (f(xa)); tabela (f(xb)); tabela (f(xm)); tabela (xa-xb); disp (""); while (abs(f(xm))>ep) &(k<Nmax) k=k+1; if f(xa)*f(xm)<0 then xb=xm; else xa=xm; end; xm=(xa*f(xb)-xb*f(xa))/(f(xb)-f(xa)); if k<10 then mprintf (" 0%i",k); else mprintf (" %i",k); end; tabela (xa); tabela (xb); tabela (xm); tabela (f(xa)); tabela (f(xb)); tabela (f(xm)); tabela (xa-xb); disp (""); end; mprintf ("\n///////////////Raiz aproximada: %1.7f \n", xm); mprintf ("///////////Qtde. de Interações: %i", k); disp ("");
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Ex_1_40.sce
//Example 1_40 clc; clear;close; //Given data: V=230;//V R1=2;//ohm R2=5;//ohm R3=1;//ohm R4=6;//ohm R5=5;//ohm Isqr_t=30;//A^2-s R=R1+R2*R3/(R2+R3);//ohm(X grounded) Ifault=sqrt(2)*V/R;//A tc=Isqr_t/Ifault^2;//s disp(tc,"Fault clearing time in seconds");
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//Example 2_1 clc(); clear; //To calculate the number of lines in one centimeter of granting surface lemda=5*10^-5 //units in centimeters theta=30 //units in degrees k=2 e=(k*lemda)/sin(theta*%pi/180) n=e^-1 printf("no of lines per centimeter is %.0f",n) //in text book the answer is printed wrong as 1000 correct answer is 5000
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// sum 17-2 clc; clear; l=60; d=60; r=d/2; ho=0.008; c=0.04; S=0.0446; nj=1260/60; W=6000; p=W/(l*d); u=S*(c/r)^2*p/nj; u=u*10^9; // printing data in scilab o/p window printf("u is %0.3f cP ",u);
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0017.tst
spLiTtEr eP {} fIlteR W { } FILteR I {dFA oR nOt O oR V } m bRanCh N -> PHs GrOUPeR YMaOp {AgGrEGATE bitand(vWT.Oo) aS J } UNgroUper PH { } GrOuPFIltER h {} MerGer N { mODUle X { bRAnCHes UvN, Y, GNO } MoDULE dr { BRanChes fUq, TeN } MoDuLe u { BRAnchEs hl } MODUle Zt { BRaNChEs ZLL, M, aB } ExPORT MX }
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psdlab/life-in-time-values-and-personality
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refs/heads/master
2020-03-24T22:08:27.964205
2019-03-04T17:03:26
2019-03-04T17:03:26
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~BivLCM-SR-bfi_e_mvi-PLin-VLin.tst
THE OPTIMIZATION ALGORITHM HAS CHANGED TO THE EM ALGORITHM. ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 1 2 3 4 5 ________ ________ ________ ________ ________ 1 0.522115D+00 2 -0.713989D-02 0.417920D-02 3 -0.115462D-01 0.545138D-03 0.674985D-01 4 0.889935D-03 0.819526D-07 -0.971131D-03 0.543435D-03 5 0.613108D-03 0.156535D-03 0.111718D-02 -0.517909D-04 0.399580D-02 6 0.421401D-03 0.301390D-04 0.803365D-05 0.412425D-04 0.505322D-03 7 0.241123D-03 -0.961346D-04 -0.180635D-03 0.403223D-05 0.110296D-03 8 0.344491D-03 0.211484D-03 -0.616207D-03 0.749196D-05 -0.948180D-04 9 -0.159215D+00 0.264684D-01 0.235287D-01 0.828739D-02 0.932409D-01 10 0.937177D-01 0.146803D-01 0.128002D-01 0.552008D-03 0.178558D+00 11 -0.324191D-01 0.124578D-01 -0.615575D-01 0.397601D-02 0.356363D-01 12 0.224583D-01 -0.167125D-02 -0.665725D-01 0.561646D-02 -0.167192D-02 13 0.504067D-01 -0.249782D-02 0.305469D-02 0.224988D-02 0.754460D-02 14 0.203134D-01 0.274874D-02 0.942297D-03 0.200310D-03 -0.405842D-05 15 -0.728755D+00 -0.651575D-01 -0.726520D-01 0.121735D-01 -0.123493D+00 16 -0.525551D-01 -0.371483D-02 -0.373167D-02 0.837982D-03 -0.264368D-02 17 -0.102506D-02 -0.645872D-03 0.967075D-03 -0.174048D-03 -0.968103D-03 18 0.221348D+00 0.810592D-02 -0.326861D-01 0.644492D-02 0.784204D-02 19 -0.445056D-01 0.408078D-03 0.232160D-01 -0.304975D-02 -0.111569D-02 20 -0.148105D+00 0.713075D-02 0.151227D+00 -0.255281D-03 -0.150950D-02 21 0.475059D-01 -0.226160D-04 -0.219334D-01 0.225829D-02 0.397876D-02 22 -0.160928D-02 -0.197152D-03 -0.724048D-03 -0.105971D-03 -0.293950D-03 23 0.100903D-02 -0.662876D-03 0.331174D-02 -0.417074D-03 0.328208D-03 24 -0.127790D-03 -0.593247D-04 -0.118289D-02 -0.229281D-04 -0.420091D-04 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 6 7 8 9 10 ________ ________ ________ ________ ________ 6 0.578540D-02 7 0.630620D-03 0.414393D-03 8 -0.375099D-03 0.560585D-05 0.233463D-02 9 0.168749D-01 0.179500D-01 -0.603584D-02 0.571057D+02 10 0.982076D-02 -0.109378D-02 0.831537D-02 0.283241D+01 0.252592D+02 11 0.337395D-01 0.788010D-02 0.393448D-02 0.500071D+01 0.200904D+01 12 0.814690D-02 0.262083D-02 0.220122D-01 0.215566D+00 0.485845D+00 13 0.523937D-01 0.150985D-01 -0.424544D-02 0.634756D+00 0.650829D+00 14 -0.943593D-02 0.171073D-02 0.248616D-01 0.508829D+00 0.351813D+00 15 0.918693D-01 -0.244301D-02 0.262927D-01 -0.174002D+02 -0.160919D+02 16 -0.230108D-02 0.751760D-03 -0.217229D-02 0.153899D+01 -0.567751D+00 17 -0.865615D-03 -0.142536D-03 -0.912695D-04 -0.210437D+00 -0.273064D-01 18 -0.346954D-01 -0.198383D-01 0.968807D-03 -0.638501D+00 0.237795D+01 19 -0.617843D-02 0.220971D-02 -0.488045D-02 0.156314D-01 -0.604916D+00 20 0.140830D-02 -0.361254D-02 -0.148962D-01 -0.111137D+01 0.346793D+00 21 0.868275D-02 -0.138696D-02 0.522824D-02 0.906974D-03 0.738826D+00 22 -0.434449D-03 -0.581228D-04 0.266145D-04 -0.787566D-02 -0.192325D-01 23 -0.136171D-03 0.315801D-05 -0.401555D-04 -0.283235D-01 -0.138717D-01 24 0.902746D-04 0.178084D-04 -0.859060D-04 0.585763D-02 -0.555227D-02 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 11 12 13 14 15 ________ ________ ________ ________ ________ 11 0.609221D+01 12 0.554810D+00 0.317247D+01 13 -0.391420D-02 -0.112067D-01 0.177203D+01 14 0.155699D+00 0.119989D+00 -0.398724D-01 0.104976D+01 15 -0.275090D+01 0.363543D+00 0.635767D+00 -0.269604D+00 0.622577D+03 16 0.194997D+00 0.635608D-02 -0.625400D-01 -0.511690D-01 0.184965D+01 17 -0.350170D-01 0.708042D-02 -0.574834D-02 0.286910D-02 -0.260262D+01 18 -0.162119D+01 -0.102459D+01 -0.490255D+00 -0.875301D-01 0.220665D+02 19 0.859611D-02 -0.249522D+00 -0.508396D-01 0.258150D-01 -0.157899D+01 20 -0.755218D+00 0.200786D-01 -0.190371D+00 -0.334856D+00 0.881141D+01 21 0.216875D+00 0.256323D+00 0.712090D-01 -0.334453D-01 0.204105D+01 22 -0.118366D-01 0.742925D-02 -0.752300D-02 0.279374D-03 -0.203195D+00 23 -0.422808D-01 -0.132195D-01 -0.118406D-02 0.610110D-02 0.456738D-01 24 0.538575D-02 -0.167557D-02 0.177528D-02 -0.175379D-02 -0.486704D-01 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 16 17 18 19 20 ________ ________ ________ ________ ________ 16 0.873485D+00 17 -0.571109D-01 0.272092D-01 18 -0.202333D+00 -0.131765D+00 0.573528D+02 19 0.508348D-01 0.117170D-01 0.138131D+00 0.989670D+00 20 0.129289D-01 -0.341087D-01 0.471923D+01 -0.186317D+00 0.128813D+02 21 -0.973796D-01 -0.123790D-01 0.481915D+00 -0.898998D+00 0.144091D+00 22 0.170434D-02 0.126240D-02 -0.252850D+00 -0.169403D-02 -0.253218D-01 23 -0.439020D-02 0.109366D-02 0.455536D-01 0.181347D-01 0.109175D+00 24 0.113381D-02 0.130072D-03 -0.385543D-01 0.720774D-03 -0.626782D-01 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 21 22 23 24 ________ ________ ________ ________ 21 0.113142D+01 22 -0.102562D-01 0.260026D-02 23 -0.221636D-01 -0.932703D-04 0.209560D-01 24 -0.758839D-03 0.233014D-03 -0.189483D-02 0.663522D-03 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 1 2 3 4 5 ________ ________ ________ ________ ________ 1 1.000 2 -0.153 1.000 3 -0.062 0.032 1.000 4 0.053 0.000 -0.160 1.000 5 0.013 0.038 0.068 -0.035 1.000 6 0.008 0.006 0.000 0.023 0.105 7 0.016 -0.073 -0.034 0.008 0.086 8 0.010 0.068 -0.049 0.007 -0.031 9 -0.029 0.054 0.012 0.047 0.195 10 0.026 0.045 0.010 0.005 0.562 11 -0.018 0.078 -0.096 0.069 0.228 12 0.017 -0.015 -0.144 0.135 -0.015 13 0.052 -0.029 0.009 0.073 0.090 14 0.027 0.041 0.004 0.008 0.000 15 -0.040 -0.040 -0.011 0.021 -0.078 16 -0.078 -0.061 -0.015 0.038 -0.045 17 -0.009 -0.061 0.023 -0.045 -0.093 18 0.040 0.017 -0.017 0.037 0.016 19 -0.062 0.006 0.090 -0.132 -0.018 20 -0.057 0.031 0.162 -0.003 -0.007 21 0.062 0.000 -0.079 0.091 0.059 22 -0.044 -0.060 -0.055 -0.089 -0.091 23 0.010 -0.071 0.088 -0.124 0.036 24 -0.007 -0.036 -0.177 -0.038 -0.026 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 6 7 8 9 10 ________ ________ ________ ________ ________ 6 1.000 7 0.407 1.000 8 -0.102 0.006 1.000 9 0.029 0.117 -0.017 1.000 10 0.026 -0.011 0.034 0.075 1.000 11 0.180 0.157 0.033 0.268 0.162 12 0.060 0.072 0.256 0.016 0.054 13 0.517 0.557 -0.066 0.063 0.097 14 -0.121 0.082 0.502 0.066 0.068 15 0.048 -0.005 0.022 -0.092 -0.128 16 -0.032 0.040 -0.048 0.218 -0.121 17 -0.069 -0.042 -0.011 -0.169 -0.033 18 -0.060 -0.129 0.003 -0.011 0.062 19 -0.082 0.109 -0.102 0.002 -0.121 20 0.005 -0.049 -0.086 -0.041 0.019 21 0.107 -0.064 0.102 0.000 0.138 22 -0.112 -0.056 0.011 -0.020 -0.075 23 -0.012 0.001 -0.006 -0.026 -0.019 24 0.046 0.034 -0.069 0.030 -0.043 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 11 12 13 14 15 ________ ________ ________ ________ ________ 11 1.000 12 0.126 1.000 13 -0.001 -0.005 1.000 14 0.062 0.066 -0.029 1.000 15 -0.045 0.008 0.019 -0.011 1.000 16 0.085 0.004 -0.050 -0.053 0.079 17 -0.086 0.024 -0.026 0.017 -0.632 18 -0.087 -0.076 -0.049 -0.011 0.117 19 0.004 -0.141 -0.038 0.025 -0.064 20 -0.085 0.003 -0.040 -0.091 0.098 21 0.083 0.135 0.050 -0.031 0.077 22 -0.094 0.082 -0.111 0.005 -0.160 23 -0.118 -0.051 -0.006 0.041 0.013 24 0.085 -0.037 0.052 -0.066 -0.076 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 16 17 18 19 20 ________ ________ ________ ________ ________ 16 1.000 17 -0.370 1.000 18 -0.029 -0.105 1.000 19 0.055 0.071 0.018 1.000 20 0.004 -0.058 0.174 -0.052 1.000 21 -0.098 -0.071 0.060 -0.850 0.038 22 0.036 0.150 -0.655 -0.033 -0.138 23 -0.032 0.046 0.042 0.126 0.210 24 0.047 0.031 -0.198 0.028 -0.678 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 21 22 23 24 ________ ________ ________ ________ 21 1.000 22 -0.189 1.000 23 -0.144 -0.013 1.000 24 -0.028 0.177 -0.508 1.000
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-- VectorCAST 6.4c (02/03/16) -- Test Case Script -- -- Environment : LIBC -- Unit(s) Under Test: abort1 abs atof atoi atol bLib memchr memcmp memcpy memmove memset ns16550 qsort rand random random_r strcat strchr strcmp strcpy strlcat strlcpy strlen strncat strncmp strncpy strpbrk strspn strtod strtok strtok_r strtol strtoul -- -- Script Features TEST.SCRIPT_FEATURE:C_DIRECT_ARRAY_INDEXING TEST.SCRIPT_FEATURE:CPP_CLASS_OBJECT_REVISION TEST.SCRIPT_FEATURE:MULTIPLE_UUT_SUPPORT TEST.SCRIPT_FEATURE:MIXED_CASE_NAMES TEST.SCRIPT_FEATURE:STATIC_HEADER_FUNCS_IN_UUTS -- -- Unit: abs -- Subprogram: abs -- Test Case: abs1 TEST.UNIT:abs TEST.SUBPROGRAM:abs TEST.NEW TEST.NAME:abs1 TEST.VALUE:abs.abs.j:0 TEST.EXPECTED:abs.abs.return:0 TEST.END -- Test Case: abs2 TEST.UNIT:abs TEST.SUBPROGRAM:abs TEST.NEW TEST.NAME:abs2 TEST.BASIS_PATH:1 of 2 TEST.NOTES: This is an automatically generated test case. Test Path 1 (1) if (j < 0) ==> FALSE Test Case Generation Notes: TEST.END_NOTES: TEST.VALUE:abs.abs.j:<<MAX>> TEST.EXPECTED:abs.abs.return:<<MAX>> TEST.END -- Test Case: abs3 TEST.UNIT:abs TEST.SUBPROGRAM:abs TEST.NEW TEST.NAME:abs3 TEST.BASIS_PATH:2 of 2 TEST.NOTES: This is an automatically generated test case. Test Path 2 (1) if (j < 0) ==> TRUE Test Case Generation Notes: TEST.END_NOTES: TEST.VALUE:abs.abs.j:<<MIN>> TEST.EXPECTED:abs.abs.return:<<MIN>> TEST.END
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// Scilab Code Ex2.7 : Page-69 (2006) clc; clear; chi_diff = 1; // Electronegativity difference between the constituent of elements of solid percent_ion = 100*(1-exp(-(0.25*chi_diff^2))); // Percentage ionic character present in solid given by Pauling printf("\nThe percentage ionic character present in solid = %2d percent ", percent_ion); // Result // The percentage ionic character present in solid = 22 percent
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clc //From graph log D ad 1/T are deducted inv_T1=0.8*10^-3//Reciprocal of temp. in K^-1 inv_T2=1.1*10^-3 //Reciprocal of temp. in K^-1 logD1=-12.4 logD2=-15.45 R=8.31 //Gas law Constant in J/mol-K printf("Example 6.5\n") Q_d=-2.3*R*(logD1-logD2)/(inv_T1-inv_T2) printf("\n Activation energy is %d kJ/mol",Q_d/1000) D_0=10^(logD2+(Q_d*inv_T2/(2.3*R)))//For calculating Preexponential factor printf("\n Preexponential factor D_0 is %.1e m^2/s\n",D_0) // Answer in book is 5.2e-5 m^2/s. It is because of consideration of different number of significant figures
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//Example 3.11.A // RESISTANCE clc; clear; close; t=15;//TOTAL CURRENT IN AMPERES i1=2;//CURRENT THROUGH UNKNOWN RESISTANCE R1=15;//in ohms R2=50/2;//in ohms x=(t-i1)*((R1*R2)/(R1+2*R2));//unknown resistance in ohms) disp(x,"unknown resistance in ohms")
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//reflected voltage //given clc Vi=50//volts row=0.25//reflection coefficent Vr=Vi*row//the reflected voltage disp(Vr,'the reflected voltage for given reflection coefficent in volts')
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//Position of the balls //refer fig. 8.16 //Let a virtual displacement be given to the system of balls as shown //Applying virtual work principle //200*sind(30)*delta(DB)+150*sind(60)*delta(EB)=0 theta=atand((150*sind(60))/(200*sind(30))) //degree printf("Thus theta=%.2f degree",theta)
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clc //to calculate magnetic moment of the rod //formula is B=muo*(H+I) //where H=ni n=500 //number of turns in turns/m i=0.5 //current passed through the solenoid in A mur=1200 //relative permeability I=(mur-1)*n*i //intensity of magnetisation in A/m V=10^-3 //volume in m^3 M=I*V disp("the magnetic moment of the rod is M="+string(M)+"A-m^2")
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//Example 10.3.2 Page 358 //Non-Linear Dynamics and Chaos, First Indian Edition Print 2007 //Steven H. Strogatz clear; clear; clc; close; set(gca(),"auto_clear","off") //hold on //Taking r=3.5 such that r>3 as given in book.; r=3.5; for x=0:0.01:1 f2x=(((r^2)*x)-(r*x)^2)*(1-r*x+r*(x^2)); //f2x=second-iterate map. plot2d(x,f2x,style=-2) y=x; //to plot y=x line. plot2d(x,y,style=-4) end xtitle("Second Iterate Map","x-Axis ( x )","y-Axis ( f ^ 2 (x) )")
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clc; // page no 545 // prob no 15.11 // An automobile travels at 60km/hr v=60*10^3/(60*60);//conversion of car's speedto m/s c=3*10^8;//speed of light //part a) calculation of time between fades if car uses a cell phone at 800*10^6Hz f=800*10^6; T=c/(2*f*v); disp('sec',T,'The fading period is'); //part b) calculation of time between fades if car uses a PCS phone at 1900*10^6Hz f=1900*10^6; T=c/(2*f*v); disp('sec',T,'The fading period is'); // Note that the rapidity of the fading increases with both the frequency of the transmissions and the speed of the vehicle
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clc clear //Input data l=540;//Latent heat of vapourisation of steam in cal/g L=l*4.2*10^7;//Latent heat of vapourisation of steam in ergs/g V=1676;//The change in specific volume when 1 g of water is converted into steam in cc t1=100;//The actual boiling temperature of water in degree centigrade t2=150;//The given temperature at which water must boil in degree centigrade p=1;//The atmospheric pressure in atmospheres //Calculations T1=t1+273;//The actual boiling temperature of water in K T2=t2+273;//The given temperature at which water must boil in K T=T2-T1;//The change in temperature in K P=(L*T)/(T1*V);//The pressure in dynes/cm^2 P1=P/10^6;//The pressure in atmospheres P2=P1+p;//The pressure at which water would boil at 150 degree centigrade in atmospheres //Output printf('The pressure at which water would boil at 150 degree centigrade is %3.3f atmospheres ',P2)
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clc //to calculate separation between those equipotential surfaces V=5 //potential difference epsilon0=8.85*10^-12 //permittivity of free space sigma=1*10^-7 //in c/m^2 //electric field due to an infinite sheet of surface charge density is given by E=sigma/(2*epsilon0) eq(1) //E=V/d eq(2) //from eq(1) and eq(2),we get d=(2*epsilon0*V)/sigma disp("separation between those equipotential surfaces is d="+string(d)+"m")
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//Scilab Code for Example 6.4 of Signals and systems by //P.Ramakrishna Rao //Sampling Frequency clc; clear; //x(t)=100*(sinc(100*t))^2; fo=100; fs=2*fo; disp(fs,'Minimum Sampling Frequency to avoid distortion is:');
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clc; clear; P=10^-3 //power in watt r=6*10^-3 //distance from the source in m c=3*10^8 // velocity of light in m/s myu_0=4*10^-7 //refractive index n=1 //calculation I=P/(%pi*(r^2)) //intensity in W/m^2 E=sqrt((2*c*myu_0*I)/n) mprintf("The electric field at a point = %1.1e volt/m",E) //The answer given in the textbook is wrong.
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// Example 12.6 // Determine (a) The increment increase in load on each machine if an // additional 400 A load is connected to the bus (b) Current carried // by each machine // Page No. 502 clc; clear; close; // Given data p1=100000; // Rated power in generator A p2=300000; // Rated power in generator B v=250; // Rated voltage in machine p3=30000; // Rated power in generator C Ibnew=400; // New bus current I1=200; I2=500; // (a) The increment increase in load on each machine if an additional 400 A // load is connected to the bus IArated=p1/v; // Rated current in generator A IBrated=p2/v; // Rated current in generator B Ib=p3/v; // Original bus current DelVbus=Ibnew/(40+120); // Change in bus current DelIA=40*DelVbus; DelIB=120*DelVbus; // (b) Current carried by each machine IA=I1+DelIA; // Current in generator A IB=I2+DelIB; // Current in generator B // Display result on command window printf("\n The increment increase in load on machine A = %0.0f A ",DelIA); printf("\n The increment increase in load on machine B = %0.0f A ",DelIB); printf("\n Current carried by machine A = %0.0f A ",IA); printf("\n Current carried by machine B = %0.0f A ",IB);
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//Example 15.18 //Runge Kutta Merson Method //Page no. 532 clc;clear;close; deff('y=f(x,y)','y=x+y') y=1;x=0;h=0.1; printf('n\t Xn\t Yn\t K1\t K2\t K3\t K4\t K5\tY(n+1)\n----------------------------------------------------------------------') for i=0:14 K1=h*f(x,y); K2=h*f(x+h/3,y+K1/3); K3=h*f(x+h/3,y+(K1+K2)/6); K4=h*f(x+h/2,y+(K1+3*K3)/8); K5=h*f(x+h,y+(K1-3*K3+4*K4)/2) y1=y+(K1+4*K4+K5)/6 printf('\n %i\t%.3f\t%.3f\t%.3f\t%.3f\t%.3f\t%.3f\t%.3f\t%.3f',i,x,y,K1,K2,K3,K4,K5,y1) y=y1; x=x+h; end
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clc; //pg n0 120 IZ=10*10**-3; vz=0.05; rz=vz/IZ; disp('ohm',rz*1,"rz=");
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// Example 7.8 Construct Fisher's ideal index number clc; clear; Po=[8 10 7]; Pn=[12 11 8]; Qo=[6 5 8]; Qn= [5 6 5]; PPI=(sum(Pn.*Qn)/sum(Po.*Qn)*100); LI=(sum(Pn.*Qo)/sum(Po.*Qo)*100); disp(PPI,"Praasches Price Index",LI,"Laspeyres index = ");
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## Broadlink Climate HASS Module ## Original forum thread: https://github.com/vpnmaster/homeassistant-custom-components ## Official repo: https://community.home-assistant.io/t/broadlink-ir-climate-component/27406 ################################################## ## Component ################################################## climate: - platform: broadlink name: AC host: !secret ip_broadlink mac: !secret mac_broadlink timeout: 60 ircodes_ini: 'resources/broadlink_climate_codes/midea.ini' min_temp: 18 max_temp: 30 target_temp: 20 #temp_sensor: sensor.living_room_temperature default_operation: idle default_fan_mode: mid customize: operations: - idle - cool - heat fan_modes: - low - mid - high - auto ################################################## ## Scripts ################################################## #script:
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//Example13.10 // Determine the frequency of the monostable multivibrator clc; clear; close; R1 = 5*10^3 ; R2 =15*10^3 ; C = 0.01*10^-6 ; R = 12*10^3 ; // the output of monostable multivibrator is defined as f = 1/(R*C*(log(1+(R2/R1)))); disp('the output of monostable multivibrator is = ' +string(f)+ ' Hz');
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exec("degree_rad.sci",-1) exec("cross_product.sci",-1) //Given that a = [18 * cos(dtor(250)), 18 * sin(dtor(250)),0] b = [0,0,12] //Sample Problem 3-7 printf("**Sample Problem 3-7**\n") cross_ab = crossproduct(a,b) angle_x = acos(cross_ab(1)/norm(cross_ab)) printf("The magnitude of cross product of given vectors is %f \n and angle with the x axis in degrees is %f", norm(cross_ab),rtod(angle_x))
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function [] = kiks_gui_getsenslistbox() // Display mode mode(0); // Display warning for floating point exception ieee(1); // ----------------------------------------------------- // (c) 2000-2004 Theodor Storm <theodor@tstorm.se> // http://www.tstorm.se // ----------------------------------------------------- global("KIKS_GUI_HDL","KIKS_SENS_LIST","KIKS_PROX_ACCURACY"); // !! L.9: Matlab function findobj not yet converted, original calling sequence used // L.9: Name conflict: function name changed from findobj to %findobj h = %findobj(KIKS_GUI_HDL,"Tag","proxsens_popup"); // !! L.10: Matlab function get not yet converted, original calling sequence used // L.10: Name conflict: function name changed from get to %get nr = %get(h,"Value"); KIKS_PROX_ACCURACY = mtlb_e(KIKS_SENS_LIST,nr); endfunction
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// Scilab code Ex1.12: Pg:37 (2008) clc;clear; Lambda = 1e-010; // Wavelength of X-rays, cm c = 3e+08; // Velocity of light, m/s m = 9.13e-031; // Mass of an electron, kg h = 6.62e-034; // Planck's constant, joule-sec e = 1.6e-019; // Charge of electron, coulomb f = c/Lambda; // Frequency of X-rays, cycles/sec E = h*f; // Energy of X-ray photon, joule // Since energy of X-ray photon is converted into energy of electrons thus // h*f = (1/2)*m*v^2, solving for v v = sqrt(2*h*f/m); // Velocity of the electron, m/s printf("\nThe energy of an electron beam = %5.0f eV", E/e); printf("\nThe velocity of an X-ray beam = %5.3e m/s", v); // Result // The energy of an electron beam = 12413 eV // The velocity of an X-ray beam = 6.596e+007 m/s
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# Nested if/while testcase # Based on discussions with Alex, Marcelo, and Babak main var a, b, c, d, e; { let a <- 1; let b <- 2; let c <- 3; let d <- 4; let e <- 5; while ( c + 4 ) < d do if ( a + 5 - b ) > ( b * 6 ) then let a <- a / c * d; let d <- d - 1 else let d <- a + b fi od; let e <- c - a + b; let a <- a + b } .
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tpyrun $p/bin/util/table_test
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function GenSciHelpXML_action() handle = findobj("Tag","AutoGenHelpFile"); close(handle); //Preogress Gen Sci Help XML File AutoGenSciHelpSet(); endfunction
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//Page Number: 8.11; //Example 8.9 clc; //(a)Noise Figure //Given //Loss Fcator IL=1.5; //dB IL1=(10^(IL/10)); //Noise figure F1=1.41; G1=1/F1; G2=10; GG2=(10*log10(G2)); //dB G3=100; GG3=(10*log10(G3)); //dB F2=2; //dB F3=2; //dB FF2=(10^(F2/10)); FF3=(10^(F3/10)); F=(F1+((FF2-1)/G1)+((FF3-1)/(G1*GG2))); FF=(10*log10(F)); disp('dB',FF,'Noise figure of cascade'); //(b) SNR at output //Given Pin=-90; //dBm Pout=Pin-IL+GG2+GG3; //dBm //Pn=Gcas*K*Te*B (cascade) K=1.38D-23; To=290; //Kelvin B=1D+8; Gcas=GG2+GG3-IL; Gcas1=(10^(Gcas/10)); Pn=K*To*(F-1)*B*Gcas1; //W Pn1=(10*(log10(Pn/1D-3))); disp('dBm',Pn1,'Noise power output:'); SNR=Pout-Pn1; disp('dB',SNR,'Signal to Noise ratio:'); //(c)Best Noise Figure //G1 after G2 after IL Fcas=(FF2+((FF3-1)/G3)+((IL1-1)/(G3*G2))); Fcas1=(10*(log10(Fcas))); disp('dB',Fcas1,'Noise figure will be:');
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//Ex19_1 Pg-957 clc bin='101'; //binary input dec=bin2dec(bin) //decimal output disp("The decimal equivqlent of 101 is") disp(dec)
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07-civil_cloud_height_thresholds_helicopter.tst
{ "EGNJ 150800Z 1509/1518 18005KT 9999 BKN040 TEMPO 1511/1512 BKN010 TEMPO 1512/1513 BKN008 TEMPO 1513/1514 BKN005 TEMPO 1514/1515 BKN003 TEMPO 1515/1516 BKN001": { "TAF base conditions cover METAR - cloud BKN050": { "metar": "EGNJ 150850Z 18005KT 9999 BKN050", "test time": "20200615T0900Z", "expected": "" }, "TAF base conditions do not cover METAR - cloud BKN010": { "metar": "EGNJ 150950Z 18005KT 9999 BKN010", "test time": "20200615T1000Z", "expected": "EGNJ TAF bust by cloud" }, "TAF base conditions cover METAR - cloud BKN010": { "metar": "EGNJ 151050Z 18005KT 9999 BKN010", "test time": "20200615T1100Z", "expected": "" }, "TAF base conditions do not cover METAR - cloud BKN008": { "metar": "EGNJ 151050Z 18005KT 9999 BKN008", "test time": "20200615T1100Z", "expected": "EGNJ TAF bust by cloud" }, "TAF base conditions cover METAR - cloud BKN008": { "metar": "EGNJ 151150Z 18005KT 9999 BKN008", "test time": "20200615T1200Z", "expected": "" }, "TAF base conditions do not cover METAR - cloud BKN006": { "metar": "EGNJ 151150Z 18005KT 9999 BKN006", "test time": "20200615T1200Z", "expected": "EGNJ TAF bust by cloud" }, "TAF base conditions cover METAR - cloud BKN006": { "metar": "EGNJ 151250Z 18005KT 9999 BKN006", "test time": "20200615T1300Z", "expected": "" }, "TAF base conditions do not cover METAR - cloud BKN003": { "metar": "EGNJ 151250Z 18005KT 9999 BKN003", "test time": "20200615T1300Z", "expected": "EGNJ TAF bust by cloud" }, "TAF base conditions cover METAR - cloud BKN003": { "metar": "EGNJ 151350Z 18005KT 9999 BKN003", "test time": "20200615T1400Z", "expected": "" }, "TAF base conditions do not cover METAR - cloud BKN001": { "metar": "EGNJ 151350Z 18005KT 9999 BKN001", "test time": "20200615T1400Z", "expected": "EGNJ TAF bust by cloud" }, "TAF base conditions cover METAR - cloud BKN001": { "metar": "EGNJ 151450Z 18005KT 9999 BKN001", "test time": "20200615T1500Z", "expected": "" } }, "description": "A contrived test with 1 hour tempo groups descending the civil cloud height thresholds for airfields using helicopter thresholds. Each cloud height is tested twice, once in the hour preceding the tempo group it requires, making the TAF invalid, and once during the hour of the tempo group making the TAF valid." }
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// Example 1.4 page no-13 clear clc V0=10 //volts siince energy is 10ev xm=2 theta=%pi/4 V=(2*V0*sin(2*theta))/xm printf("V=%.0fd Volts",V)
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clear; clc; // Example: 5.3 // Page: 151 printf("Example: 5.3 - Page: 151\n\n"); // Solution //*****Data*****// Th = 650 + 273;// [K] Tl = 30 + 273;// [K] Qh = 585;// [kJ/cycle] //*************// // Solution (a) // From Eqn. (5.9) eta = (Th - Tl)/Th; printf("(a) The efficiency of the Carnot engine is %.1f %%\n",eta*100); // Soluton (b) // From the knowledge of the ratio of heat and temperature between the two regions: Ql = Qh*Tl/Th;// [kJ] printf("(b) Heat released to cold reservoir is %d kJ\n",Ql);
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close(); clear; clc; Idss1 = 10; //mA T1 = 25 + 273; //K T2 = 100 + 273; //K //(a) Idss2 = Idss1*(T2/T1)^(-3/2); //A mprintf("(a) Saturation current for operating temperature of %d degree C = %0.2f mA\n\n",T2-273, Idss2); //(b) //temperature at which saturation current reduces to Idss3 Idss3 = 5; //mA T3 = T1*(Idss1/Idss3)^(2/3); //K mprintf("(b) Temperature at which saturation current reduces to %d mA at %d degree C",Idss3, T3-273);
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//Example 5.20 clc; clear; close; format('v',6); //Given data : D1=20/100;//meter D2=15/100;//meter A1=%pi/4*D1^2;//m^2 A2=%pi/4*D2^2;//m^2 v1=2;//m/s v2=A1*v1/A2;//m/s disp(v2,"Velocity at another section in m/s : "); FlowRate=A1*v1;//m^3/s FlowRate=FlowRate*1000;//litres/s disp(FlowRate,"Flow Rate in litres/sec : "); //Answer of velocity in the book is not accurate.
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function bisection() xl=0; xu=1; xm=0.5; y1=1; ym=(0.5^3)-(5*0.5)+1; if(y1*ym<0) then xu=xm; end while (1) m=(xl+xu)/2; yl=(xl^3)-(5*xl)+1; ym=(m^3)-(5*m)+1; e=((m-xm)/m)*100; if(-5<e&e<5) then disp(m); break; end if(y1*ym<0) then xu=m; end if(y1*ym==0) then disp(m); break; end if(y1*ym>0) then xl=m; end xm=m; end endfunction
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//Generation of Pattern //1. linSI.m // // Clear previous variables and graphics windows // clear ; //plotlibmode // // Set parameters // fc = 40; n = 480; i= 1; nphases = 3; // number of phases nangles = 3; // number of angles theta=linspace(0,%pi,nangles+1); theta=theta(1:nangles); phi=linspace(0,2*%pi,nphases+1); phi=phi(1:nphases); I = zeros(n,n,nphases*nphases); [X1,Y1] = meshgrid(1:n,1:n); ki = 2*%pi*(fc)/n; for itheta=1:nphases for iphi=1:nphases rottheta= [cos(theta(itheta)) -sin(theta(itheta)); sin(theta(itheta)) cos(theta(itheta)) ]; k = rottheta*[ki; 0]; kx = k(1); ky = k(2); I(:,:,(itheta-1)*3+iphi) = (1-cos(kx*X1+ky*Y1+phi(iphi)))/2; pattern = abs(I(:,:,(itheta-1)*3+iphi)); WriteImage(pattern, 'phase'+string(itheta)+'_'+string(iphi)+'.jpg'); end end
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function[img_ret]=cv_thresh_truncate(image) pyImport simple_thresholding img_ret=simple_thresholding.thresh_trunc(image) endfunction
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// This file is part of www.nand2tetris.org // and the book "The Elements of Computing Systems" // by Nisan and Schocken, MIT Press. // File name: projects/01/Or16.tst load Or8.hdl, output-file Or8.out, compare-to Or8.cmp, output-list a%B1.8.1 b%B1.8.1 out%B1.8.1; set a %B00000000, set b %B00000000, eval, output; set a %B00000000, set b %B11111111, eval, output; set a %B11111111, set b %B11111111, eval, output; set a %B10101010, set b %B01010101, eval, output; set a %B00111100, set b %B00001111, eval, output; set a %B00010010, set b %B10011000, eval, output;
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//Chapter-3, Example 3.17, Page 74 //============================================================================= clc clear //INPUT DATA D1=0.1;//I.D of the first pipe in m D2=0.3;//O.D of the first pipe in m k1=70;//Thermal conductivity of first material in W/m.K D3=0.4;//O.D of the second pipe in m k2=15;//Thermal conductivity of second material in W/m.K T=[300,30];//Inside and outside temperatures in degree C //CALCULATIONS r1=(D1/2);//Inner Radius of first pipe in m r2=(D2/2);//Outer Radius of first pipe in m r3=(D3/2);//Radius of second pipe in m Q=((4*3.14*(T(1)-T(2)))/(((r2-r1)/(k1*r1*r2))+((r3-r2)/(k2*r2*r3))))/1000;//Rate of heat flow through the sphere in kW //OUTPUT mprintf('Rate of heat flow through the sphere is %3.2f kW',Q) //=================================END OF PROGRAM==============================
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-- Fuzzy Logix, LLC: Functional Testing Script for DB Lytix functions on Netezza -- -- Copyright (c): 2014 Fuzzy Logix, LLC -- -- NOTICE: All information contained herein is, and remains the property of Fuzzy Logix, LLC. -- The intellectual and technical concepts contained herein are proprietary to Fuzzy Logix, LLC. -- and may be covered by U.S. and Foreign Patents, patents in process, and are protected by trade -- secret or copyright law. Dissemination of this information or reproduction of this material is -- strictly forbidden unless prior written permission is obtained from Fuzzy Logix, LLC. -- Functional Test Specifications: -- -- Test Category: Math Functions -- -- Test Unit Number: FLinvsech-Netezza-01 -- -- Name(s): FLinvsech -- -- Description: Scalar function which returns the hyperbolic arcsecant -- -- Applications: -- -- Signature: FLinvsech(N DOUBLE PRECISION) -- -- Parameters: See Documentation -- -- Return value: DOUBLE PRECISION -- -- Last Updated: 11-21-2014 -- -- Author: Surya Deepak Garimella -- -- BEGIN: TEST SCRIPT --.run file=../PulsarLogOn.sql --.set width 2500 -- BEGIN: POSITIVE TEST(s) ---- Positive Test 1: Positive Tests --- Same Output, Good SELECT FLinvsech(5) AS asech; SELECT FLinvsech(50) AS asech; ---- Positive Test 2: The Output of both should be same --- Same Output, Good SELECT FLinvsech(10) AS asech; SELECT FLinvsech(FLSech(1.47062890563334))AS asech; ---- Positive Test 3: Positive Tests --- Return expected results, Good SELECT FLinvsech(FLSech(FLDeg2Rad(45)))AS asech; SELECT FLinvsech(FLSech(FLDeg2Rad(-315)))AS asech; ---- Positive Test 4: Boundary check --- Return expected results, Good SELECT FLinvsech(1)AS asech; SELECT FLinvsech(-1)AS asech; SELECT FLinvsech(1e308)AS asech; SELECT FLinvsech(-1e308)AS asech; -- END: POSITIVE TEST(s) -- BEGIN: NEGATIVE TEST(s) ---- Negative Test 1: Out of Boundary --- Return expected error, Good SELECT FLinvsech(0.99999999999) AS asech; SELECT FLinvsech(-0.99999999999) AS asech; SELECT FLinvsech(1e-400) AS asech; SELECT FLinvsech(-1e-400) AS asech; SELECT FLinvsech(1e400) AS asech; SELECT FLinvsech(-1e400) AS asech; ---- Negative Test 3: Invalid Data Type --- Return expected error, Good SELECT FLinvsech(NULL) AS asech; SELECT FLinvsech(NULL * -1) AS asech; -- END: NEGATIVE TEST(s) -- END: TEST SCRIPT
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// mypid.sce // Scilab.Ninja August 2014 // setup script for mypidx.zcos // in Scilab Recipe 3 article s=poly(0,'s'); P = syslin('c',2/(s*(s+0.5))); // impulse input creation r.time = (0.01:0.01:10)'; r.values=zeros(1000,1); // start with all zeros r.values(1:10,1) = 100; // r = 100, 0 < t <=0.1 r.values(501:510,1) = -100; // r = -100, 5.0 < t <= 5.1
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// Exa 2.12 clc; clear; close; // Given data AV= 110.2;// true value of voltage in volt AI= 5.3;// true value of current in amp v= 0.2;// uncertainties in voltage in volt i= 0.6;// uncertainties in current in amp PLV= v/AV*100;// percentage limiting error to voltage drop PLC= i/AI*100;// percentage limiting error to current P= AV*AI;// in watt disp(P,"The power dissipated in the resistor in watt") LE_P= (PLV+PLC);// limiting error in the power dissipation in pos and neg disp(LE_P,"The limiting error in the power dissipation with pos and neg") disp("Power dissipation") disp(string(P-P*LE_P/100)+" to "+string(P+P*LE_P/100))
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//Example 2-51// //multiplication of binary numbers// //this program requires functions binary2decimal.sci and decimal2binary.sci// clc //clears the window// clear //clears all existing variables// function x=binary2decimal(bin) p=1 q=1 z=0 b=0 w=0 f=0 //initialising// d=modulo(bin,1) //separating the decimal part from the integer part// d=d*10^10 a=floor(bin) //removing the decimal part// while(a>0) //loop to enter the binary bits of the integer part into a matrix// r=modulo(a,10) b(1,q)=r a=a/10 a=floor(a) q=q+1 end for m=1: q-1 //multiplying each bit of the integer part with its corresponding positional value and adding// c=m-1 f=f+b(1,m)*(2^c) end while(d>0) //loop to take the bits of the decimal part into a matrix// e=modulo(d,2) w(1,p)=e d=d/10 d=floor(d) p=p+1 end for n=1: p-1 //multiplying each bit with its corresponding positional value and adding// z=z+w(1,n)*(0.5)^(11-n) end z=z*10000 z=round(z) //rounding off to 4 decimal places// z=z/10000 x=f+z endfunction function y=decimal2binary(a) q=0 b=0 s=0 //initialising// d=modulo(a,1) //separating the decimal part from the integer// a=floor(a) //removing the decimal part// while(a>0) //integer part converted to equivalent binary form// x=modulo(a,2) b=b+(10^q)*x a=a/2 a=floor(a) q=q+1 end for i=1: 10 //taking values after the decimal part and converting to equivalent binary form// d=d*2 q=floor(d) s=s+q/(10^i) if d>=1 then d=d-1 end end y=b+s endfunction x=binary2decimal(10.001) y=binary2decimal(0.11) z=x*y a=decimal2binary(z) disp('the multiplication of the binary numbers is :') disp(a) //result is displayed//
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//Example 6-4// //minterm designation of AB''C''D''// clc //clears the window// clear //clears all existing variables// disp('copy original term') disp(' AB''C''D'' ') disp(' substitute ones for nonbarred letters and zeroes for barred letters ') disp('after substitution') disp(' 1000 ') a=bin2dec('1000') disp('the decimal equivalent of 1000 is:') disp(a) disp(' Therefore decimal subscript of m is 8 ') disp(' AB''C''D'' = m8 ') //result is displayed//
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// find minimum trigger voltage,maximum capacitor voltage ,width of output pulse // Electronic Principles // By Albert Malvino , David Bates // Seventh Edition // The McGraw-Hill Companies // Example 23-6, page 918 clear;clc; close; // Given data C=0.47*10^-6;// capacitance in faraday R=33*10^3;// resistance in ohms Vcc=12;// in volts // Calculations UTP=2*Vcc/3;// upper trip point in volts LTP=Vcc/3;// lower trip point in volts W=1.1*R*C;// pulse width disp("Volts",UTP,"Maximum trigger voltage=") disp("Volts",LTP,"Minimum trigger voltage=") disp("seconds",W,"pulse width=") // Result // Minimum trigger voltage is 4 Volts // Maximum capacitor voltage is 8 Volts // Pulse width is 17.1 mSeconds
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clear all; clc; disp("Ex 3_2") //Cable CA supports the weight of the engine 2.452kN //Concurrent System of forces disp("Equilibrium Equations") disp("T_B*cos(30) - T_D = 0 ....(1)") disp("T_B*sin(30) - 2.452kN = 0 ....(2)") disp("Solving eqn (2) we get the value of T_B") a=2.452 b1=30 b=30*%pi/180 c=a/sin(b) printf('\n\nT_B = %0.2f kN',c) disp(" ") disp("Putting the above value of T_B in eqn (1), we get the value of T_D") d=c*cos(b) printf('\n\nT_D = %0.2f kN',d)
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clc Na=10^18 disp("Na = "+string(Na)+" cm^-3") //initializing value of acceptor concentration. Nd=10^18 disp("Nd = "+string(Nd)+" cm^-3") //initializing value of donor concentration. Vbi=1.4 disp("Vbi = "+string(Vbi)+" V") //initializing value of built in voltage. e=1.6*10^-19 disp("e = "+string(e)+" columbs") //initializing value of charge of electrons. K=1.38*10^-23 disp("K = "+string(K)+" J/k") //initializing value of boltzmann constant. T=300 disp("T = "+string(T)+" K") //initializing value of temperature. Vt=0.0259 disp("Vt = "+string(Vt)+" eV") //initializing value of thermal voltage. no=sqrt((Na*Nd)/(exp(Vbi/Vt))) disp("no=sqrt((Na*Nd)/(exp(Vbi/Vt)))="+string(no)+" cm^-3")//calculation.
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// Display mode mode(0); // Display warning for floating point exception ieee(1); clc; disp("Principles of Heat Transfer, 7th Ed. Frank Kreith et. al Chapter - 2 Example # 2.5 ") //Heat generation rate in W/m3 qg = 75000000; //Outer radius of rods in m ro = 0.025; //Temperature of water in degree C Twater = 120; //Thermal cinductivity in W/mk k = 29.5 //Heat transfer coefficient in W/m2K hco = 55000; //Since rate of flow through the surface of the rod equals the rate of internal heat generation //and //The rate of heat flow by conduction at the outer surface equals the rate //of heat flow by convection from the surface to the water //Surface Temperature in degree C T0 = (qg*ro)/(2*hco)+Twater; disp("Maximum temperature in degree C") //Maximum temperature in degree C Tmax = T0+((qg*ro)*ro)/(4*k)
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// sum 7-7 clc; clear; D=500; p=0.3; E=208*10^3; sigc=320; a=1/7500; l=2000; le=l/2; W=%pi*D^2*p/4; FOS=4; Wd=W*FOS; I=Wd*l^2/(%pi^2*E); d=(64*I/%pi)^(1/4); A=%pi*d^2/4; k=d/4; d=45; //Rounding off to nearest whole number // printing data in scilab o/p window printf("d is %0.1f mm ",d);
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s =[0.2113249 0.0002211;0.7560439 0.3303271 ]; c=sos2cell(s); disp(c); //..output // !--error 10000 //Invalid Entry //at line 59 of function sos2cell called by : //c=sos2cell(s); //
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//Exa 2.17 clc; clear; close; //Given data : R1=200;//in kohm R2=100;//in kohm RE=1;//in kohm RC=1;//in kohm VCC=9;//in volt he=2;//in kohm hfe=100;//unitless hoe=0;//unitless hre=0;//unitless VBE=0.7;//in volt(For Si) //Part (i) RB=R1*R2/(R1+R2);//in kohm VBBdash=(R2/(R1+R2))*VCC;//in volt //Applying Kirchoff Law IB=(VBBdash-VBE)/(RB*10^3+RE*10^3*(1+hfe));//in Ampere IC=hfe*IB;//in Ampere disp(IC*10^3,"Value of IC in mA : "); //Part (ii) //Applying Kirchoff Law VCE=VCC-IC*RC*10^3-RE*1063*IB*(hfe+1);//in volt disp(VCE,"VCE in volt :"); //Note : Ans of VCE is wrong in the book as VCC=10 V has been taken instead of 9 volt.
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// Exa 4.3 clc; clear; close; format('v',6) // Given data Alpha = 0.9; // For alpha = 0.9, the value of Beta Beta = Alpha/(1-Alpha); disp(Beta,"For alpha = 0.9, the value of Beta is"); Alpha = 0.99; // For alpha = 0.99, the value of Beta Beta = Alpha/(1-Alpha); disp(Beta,"For alpha = 0.99, the value of Beta is"); Alpha = 0.98; // For alpha = 0.98, the value of Beta Beta = Alpha/(1-Alpha); disp(Beta,"For alpha = 0.98, the value of Beta is");
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@start @mob1 name=モブ1 @mob2 name=モブ2 @m1 こんにちは。 @m1 私の名前は、@mob1 name= で指定したものになります。 @m1 name=一時的な名前 name= を設定すると、一時的にその名前になります。 @m1 face=Actor1 index=2 顔グラも設定できます。 @m2 モブその2です @m2 color=2 モブその2です。色付き。 @hide
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Example_6_5_2.sce
clear; clear; clc; close; set(gca(),"auto_clear","off") //hold on //Get x(dot) = y; y(dot)=x-(x^3); A1 = [0 1;1 0] //Jacobian at (0,0) t1=det(A1) A2 = [0 1;-2 0] //Jacobian at (1,0) and (-1,0). t2=det(A2) tau2=trace(A2) disp("Since, t1=-1, thus (0,0) is a SAddle Point."); disp("As t2=2 and tau2=0, thus (1,0) and (-1,0) are Centers."); [x y]=meshgrid(-5:0.5:5,-5:0.5:5); Nx=21; Ny=21; for i=1:21 for j=1:21 E(i,j) = ((1/2)*(y(i,j)^2)) -((1/2)*(x(i,j)^2)) + ((1/4)*(x(i,j)^4)); //contour(x,y,E,3); end end l=-5:0.5:5; k=-5:0.5:5; plot3d(l,k,E); figure subplot(331) contour2d(l,k,E,2); subplot(335) for x=-2:0.1:2 V=((-1/2)*(x^2))+((1/4)*(x^4)); plot2d(x,V,style=-2) end subplot(339) function xd=linear652(t,x) xd(1)=x(2); xd(2)=x(1)-x(1)^3; //x(dot); x(2) means y. //y(dot); x(1) means x.; endfunction bound=[-4,-4,4,4]; //Bounds of x-axis and y-axis as [xmin ymin xmax ymax], change them according to your needs. nrect=16; //increase it to get more number of curves, i.e. more information will be available. set(gca(),"auto_clear","off") //hold on x=linspace(bound(1),bound(3),nrect); y=linspace(bound(2),bound(4),nrect); x0=[]; for i=1:35 x0=[x(i);y(i)]; t0=0; t=0:0.01:3000; xout=ode(x0,t0,t,linear652); plot2d(xout(1,:),xout(2,:)); end xtitle('Phase Portrait','x-axis ( x )','y-axis ( y )')
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clear; clc; //Caption:To find hFEmin //Given Data //For transistor Vbesat=0.8;//Vgamma of diode in V Vy=0.5;//in V Vcesat=0.2;//in V R = 5;//in K Rc = 2.2;//in K //For diode Vyd=0.6;//in V Vdrop=0.7;//in V //The logic levels are Vcesato=0.2V for 0 state Vcesato=0.2;//in V //The logic levels are Vcc=5V for 1 state Vcc=5;//in V disp('If atleast one input is in 0 state'); Vp = Vcesato + Vy;//Potential at point P disp('V',Vp,'Vp='); //For diodes D1 and D2 to be conducting v = 2*Vdrop; disp('For diodes D1 and D2 to be conducting'); disp(v,'required voltage = '); //These diodes cutoff Vbe = 0; if(Vbe<Vy) disp('Q is OFF'); disp('Output rises to 5V and Y = 1'); disp('This confirms first 3 rows of NAND truth table'); end //if all inputs are at V(1)=5V , we shall assume all input diodes OFF and D1 and D2 conduct and Q is in saturation disp('When inputs are at 5V'); Vp = Vdrop + Vdrop + Vbesat; disp('V',Vp,'Vp='); disp(Vcc-Vp,'The voltage across all input diode'); //For finding hFEmin I1 = (Vcc-Vp)/R; I2 = Vbesat/R; Ib = I1-I2; Ic = (Vcc-Vcesat)/Rc; hFEmin = Ic/Ib; disp(hFEmin,'hFEmin='); //end
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THE OPTIMIZATION ALGORITHM HAS CHANGED TO THE EM ALGORITHM. ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 1 2 3 4 5 ________ ________ ________ ________ ________ 1 0.273773D+00 2 -0.192574D-02 0.229292D-02 3 -0.651449D-01 0.150789D-02 0.348905D+00 4 0.183787D-02 -0.485107D-03 -0.671821D-02 0.296161D-02 5 -0.369518D-03 0.196238D-03 0.134962D-02 -0.840946D-04 0.349306D-02 6 0.108582D-02 -0.806094D-05 -0.670637D-03 0.637180D-04 -0.386512D-03 7 0.847241D-03 0.607468D-04 -0.689507D-03 -0.106216D-03 -0.126376D-02 8 -0.884086D-04 -0.296950D-04 -0.382565D-03 0.639539D-04 0.256611D-03 9 -0.354904D+00 0.114610D-01 0.428903D+00 -0.106747D-01 0.277209D-01 10 -0.222544D+00 0.161959D-01 0.343735D+00 -0.941791D-02 0.173830D+00 11 0.103747D+00 -0.211210D-01 -0.842557D-01 0.222555D-01 -0.634782D-01 12 -0.251895D+00 0.184390D-01 0.237164D+00 -0.516546D-01 0.539906D-01 13 0.104928D+00 0.236737D-02 -0.184382D+00 -0.366506D-02 -0.709050D-01 14 -0.172178D-01 0.511047D-02 0.416549D+00 0.699644D-02 0.403447D-01 15 -0.892237D+00 -0.237978D-01 -0.189584D+00 -0.242926D-01 -0.424507D-01 16 0.397984D-01 -0.135067D-01 -0.263564D-01 0.234176D-02 0.174679D-03 17 -0.990986D-02 0.270619D-03 0.339874D-02 0.125632D-03 -0.901202D-03 18 -0.381068D-01 -0.269769D-01 0.500854D+00 -0.129938D-01 0.768555D-01 19 -0.452257D-01 0.946339D-02 0.343465D-01 -0.417764D-02 0.327290D-02 20 0.657233D-01 -0.147946D-01 0.307656D+00 -0.139162D-01 0.859707D-02 21 -0.404633D-02 -0.405407D-02 -0.446767D-01 -0.496707D-03 -0.698535D-03 22 0.315427D-02 0.556241D-04 -0.440875D-02 -0.396738D-03 0.320375D-04 23 -0.136294D-01 -0.528112D-03 0.260418D-01 0.650920D-03 0.436505D-03 24 -0.754595D-03 -0.284920D-03 -0.142129D-02 0.668751D-03 -0.340898D-03 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 6 7 8 9 10 ________ ________ ________ ________ ________ 6 0.723820D-03 7 0.722849D-03 0.369501D-02 8 -0.712003D-04 0.236330D-03 0.267791D-02 9 -0.182364D-01 -0.364358D-01 0.207015D-01 0.330821D+02 10 -0.308053D-01 -0.691622D-01 0.168695D-01 0.981292D+00 0.201012D+02 11 0.319092D-01 0.370965D-01 0.368153D-02 -0.614391D+01 -0.844127D+00 12 -0.518294D-01 -0.887641D-02 0.673781D-01 0.569100D+01 0.167029D+01 13 0.519351D-01 0.123568D+00 -0.197670D-01 -0.245458D+01 -0.804458D+01 14 -0.221865D-01 -0.761546D-01 0.113370D+00 0.311055D+01 0.517718D+01 15 0.573154D-02 0.186895D-01 -0.210463D-01 -0.942257D+00 -0.829731D+01 16 -0.635312D-03 -0.120786D-02 -0.360057D-03 0.330884D+00 -0.926392D-01 17 0.233114D-03 0.554620D-03 -0.143065D-03 -0.802934D-01 -0.271858D-01 18 -0.393576D-01 -0.148743D+00 0.353511D-01 0.148244D+00 0.744651D+01 19 -0.144507D-01 0.138075D-02 0.547048D-02 -0.129388D+01 0.508192D+00 20 0.219713D-01 0.986514D-01 -0.189103D+00 -0.222002D+01 0.346645D+01 21 0.131930D-01 -0.466850D-02 -0.473347D-02 0.136380D+01 -0.244363D+00 22 -0.109130D-03 0.158735D-03 0.186362D-04 0.172345D-02 -0.276688D-01 23 0.118378D-03 0.111971D-02 -0.849107D-03 -0.273050D+00 0.103931D+00 24 0.982248D-04 -0.416156D-03 -0.195097D-03 0.363660D-01 -0.230254D-01 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 11 12 13 14 15 ________ ________ ________ ________ ________ 11 0.302294D+02 12 -0.164158D+02 0.148326D+03 13 -0.976729D-01 -0.264854D+00 0.139356D+02 14 0.384550D+01 0.399987D+01 -0.633575D+01 0.499359D+02 15 0.363725D+01 -0.230264D+01 0.242477D+01 -0.236912D+01 0.170185D+03 16 0.100794D+00 0.198133D+00 -0.431582D-02 -0.408692D-01 0.191727D+01 17 0.267474D-02 -0.976470D-02 0.220483D-01 -0.283329D-01 -0.743009D+00 18 0.117924D+01 0.456199D+01 -0.901639D+01 0.254950D+01 -0.248611D+02 19 0.834263D+00 0.123176D+00 -0.117615D+01 0.135865D+00 0.197612D+01 20 -0.257380D+01 -0.429741D+01 0.735596D+01 -0.295529D+02 0.108058D+02 21 -0.727613D+00 -0.465250D+00 0.813757D+00 0.595579D-01 -0.284063D+01 22 -0.532774D-01 0.744774D-01 0.169390D-01 0.142280D-01 0.122595D+00 23 -0.149298D+00 0.120427D+01 0.113878D+00 0.777379D-01 0.602373D+00 24 0.453797D-01 -0.303833D+00 -0.447918D-01 0.928980D-02 -0.130793D+00 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 16 17 18 19 20 ________ ________ ________ ________ ________ 16 0.375653D+00 17 -0.297545D-01 0.911444D-02 18 -0.264434D+00 0.605733D-01 0.150386D+03 19 -0.157908D+00 -0.295598D-02 0.443959D+01 0.424181D+01 20 0.626356D+00 -0.655057D-01 -0.216262D+02 -0.599524D+00 0.332610D+03 21 -0.216922D-01 0.202221D-01 -0.390951D+00 -0.356273D+01 -0.310562D+00 22 0.966413D-02 -0.155533D-02 -0.762068D+00 -0.342649D-01 0.197070D-01 23 0.313456D-01 -0.340841D-02 -0.425367D+00 -0.128350D+00 0.301321D+01 24 -0.477250D-02 0.126918D-02 0.910038D-01 0.721957D-02 -0.144337D+01 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 21 22 23 24 ________ ________ ________ ________ 21 0.396529D+01 22 -0.167361D-01 0.851896D-02 23 -0.110134D+00 0.119186D-01 0.538029D+00 24 0.187846D-01 -0.183436D-02 -0.559670D-01 0.152849D-01 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 1 2 3 4 5 ________ ________ ________ ________ ________ 1 1.000 2 -0.077 1.000 3 -0.211 0.053 1.000 4 0.065 -0.186 -0.209 1.000 5 -0.012 0.069 0.039 -0.026 1.000 6 0.077 -0.006 -0.042 0.044 -0.243 7 0.027 0.021 -0.019 -0.032 -0.352 8 -0.003 -0.012 -0.013 0.023 0.084 9 -0.118 0.042 0.126 -0.034 0.082 10 -0.095 0.075 0.130 -0.039 0.656 11 0.036 -0.080 -0.026 0.074 -0.195 12 -0.040 0.032 0.033 -0.078 0.075 13 0.054 0.013 -0.084 -0.018 -0.321 14 -0.005 0.015 0.100 0.018 0.097 15 -0.131 -0.038 -0.025 -0.034 -0.055 16 0.124 -0.460 -0.073 0.070 0.005 17 -0.198 0.059 0.060 0.024 -0.160 18 -0.006 -0.046 0.069 -0.019 0.106 19 -0.042 0.096 0.028 -0.037 0.027 20 0.007 -0.017 0.029 -0.014 0.008 21 -0.004 -0.043 -0.038 -0.005 -0.006 22 0.065 0.013 -0.081 -0.079 0.006 23 -0.036 -0.015 0.060 0.016 0.010 24 -0.012 -0.048 -0.019 0.099 -0.047 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 6 7 8 9 10 ________ ________ ________ ________ ________ 6 1.000 7 0.442 1.000 8 -0.051 0.075 1.000 9 -0.118 -0.104 0.070 1.000 10 -0.255 -0.254 0.073 0.038 1.000 11 0.216 0.111 0.013 -0.194 -0.034 12 -0.158 -0.012 0.107 0.081 0.031 13 0.517 0.545 -0.102 -0.114 -0.481 14 -0.117 -0.177 0.310 0.077 0.163 15 0.016 0.024 -0.031 -0.013 -0.142 16 -0.039 -0.032 -0.011 0.094 -0.034 17 0.091 0.096 -0.029 -0.146 -0.064 18 -0.119 -0.200 0.056 0.002 0.135 19 -0.261 0.011 0.051 -0.109 0.055 20 0.045 0.089 -0.200 -0.021 0.042 21 0.246 -0.039 -0.046 0.119 -0.027 22 -0.044 0.028 0.004 0.003 -0.067 23 0.006 0.025 -0.022 -0.065 0.032 24 0.030 -0.055 -0.030 0.051 -0.042 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 11 12 13 14 15 ________ ________ ________ ________ ________ 11 1.000 12 -0.245 1.000 13 -0.005 -0.006 1.000 14 0.099 0.046 -0.240 1.000 15 0.051 -0.014 0.050 -0.026 1.000 16 0.030 0.027 -0.002 -0.009 0.240 17 0.005 -0.008 0.062 -0.042 -0.597 18 0.017 0.031 -0.197 0.029 -0.155 19 0.074 0.005 -0.153 0.009 0.074 20 -0.026 -0.019 0.108 -0.229 0.045 21 -0.066 -0.019 0.109 0.004 -0.109 22 -0.105 0.066 0.049 0.022 0.102 23 -0.037 0.135 0.042 0.015 0.063 24 0.067 -0.202 -0.097 0.011 -0.081 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 16 17 18 19 20 ________ ________ ________ ________ ________ 16 1.000 17 -0.509 1.000 18 -0.035 0.052 1.000 19 -0.125 -0.015 0.176 1.000 20 0.056 -0.038 -0.097 -0.016 1.000 21 -0.018 0.106 -0.016 -0.869 -0.009 22 0.171 -0.177 -0.673 -0.180 0.012 23 0.070 -0.049 -0.047 -0.085 0.225 24 -0.063 0.108 0.060 0.028 -0.640 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 21 22 23 24 ________ ________ ________ ________ 21 1.000 22 -0.091 1.000 23 -0.075 0.176 1.000 24 0.076 -0.161 -0.617 1.000
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clc //Example 14.3 //Install Symbolic toolbox //Find the Inverse Laplace transform syms s a=7/s b=31/(s+17) x=ilaplace(a) y=ilaplace(b) g=x-y disp(g,'g(t)=')
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errcatch(-1,"stop");mode(2);//Example 2.8.4.a // unknown resistor ; ; //given data : V=100;//in volts I=5*10^-3;// in A R_app=(V/I)*10^-3; disp(R_app,"apparent resistor,R_app(kilo-ohm) = ") exit();
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//b1)modulation XDFT=[4 -2*%i 0 2*%i]; xn=dft(XDFT,1) for i=1:length(xn) zn(i)=xn(i)*%e^((%i*%pi*(i-1))/2); end disp(zn,'The IDFT of XDFT[k-1] is'); ZDFT=[2*%i 4 -2*%i 0]; zn1=dft(ZDFT,1) //b2)periodic convolution HDFT=(convol(XDFT,XDFT)) HDFT=[HDFT,zeros(8:12)]; HDFT=[HDFT(1:4);HDFT(5:8);HDFT(9:12)]; HDFT1=[0 0 0 0]; for i=1:4 for j=1:3 HDFT1(i)=HDFT1(i)+HDFT(j,i); end end HDFT1; hn=dft(HDFT1,1) hn1=4*(xn.*xn); disp(hn1,'The IDFT of XDFT*XDFT is'); //b3)product WDFT=XDFT.*XDFT; wn=dft(WDFT,1) wn1=convol(xn,xn); wn1=[wn1,zeros(8:12)]; wn1=[wn1(1:4);wn1(5:8);wn1(9:12)]; WN=[0 0 0 0]; for i=1:4 for j=1:3 WN(i)=WN(i)+wn1(j,i); end end disp(WN,'The IDFT of XDFT.XDFT is'); //b4)Central ordinates and signal Energy E=0; for i=1:length(xn) E=E+abs(xn(i)^2); end disp(E,'the signal energy is');
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// Scilab code Exa1.5.3 : Calculation of energy required to knock out nucleon from He nucleus : Page 37 (2011) M_p = 1.007895; // Mass of proton, amu M_n = 1.008665; // Mass of neutron, amu M_He = 4.0026; // Mass of He-nucleus, amu Z = 2; // Number of proton N = 2; // Number of neutron D_m = [(Z*M_p)+(N*M_n)-M_He]; // Mass defect, amu amu = 931.49; // Atomic mass unit, MeV E = D_m*amu; // Required energy, MeV printf("\nThe energy required to knock out nucleons from the He nucleus = %5.2f MeV", E); // Result // The energy required to knock out nucleons from the He nucleus = 28.43 MeV
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//Chapter-2,Example 2_34,Page 2-53 clc() //Given Data: lam1=5.14034*10^-7 //Wavelength of light lam2=5.14085*10^-7 //Wavelength of light //Calculations: dlam=lam2-lam1 //difference in wavelength lam=(lam2+lam1)/2 //Mean wavelength //We know that R.P.=lam/dlam=m*N N=lam/dlam/1 //Number of lines on grating printf('Number of lines on grating for first order is = %.0f \n \n',N) //Hence R.P. for second order should be RP1=2*N printf(' Resolving power in second order should be is= %.0f \n \n',RP1) //But here, lam3=8.03720*10^-7 //Wavelength of light lam4=8.03750*10^-7 //Wavelength of light dlam2=lam4-lam3 //difference in wavelength lam2=(lam4+lam3)/2 //Mean wavelength RP2=lam2/dlam2 printf(' Resolving power in second order is= %.0f \n \n',RP2) printf(' So, the grating will not be able to resolve 8.0372*10^-7 and 8.03750*10^-7 in second order.\n') printf(' Because Resolving power is greter than actual Resolving power.')
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a = 20; b = 15; disp(a/b) c = a + b; d = a - b; e = a * b; f = a / b; g = a \ b; disp(c); disp(d); disp(e); disp(f); disp(g);
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// This program is used to calculate Round Varinances, Ver.1.1 // Contributed to Github Server on 4/30/2020 // Jun Steed Huang email: steedhuang@163.com // For more background theory, follow us on researchgate // Clear the picture clf // Following program is used to calculate RV // F can be a Fractional Complex Number, 0 <= |F| <= 3. // F1=1.5 is for the Taoist Three based moment between Mean and Variance // F2=2.0 is for the Normal Variance on the Normal circle Water site // F3=2.5 is for the Taosit Five based moment between Variance and Skewness // F4=sqrt(2)+sqrt(-2) is for Upper Round Variance on the Normal circle Wind site // F5=sqrt(2)-sqrt(-2) is for Down Round Variance on the Normal circle Hill site F4 = sqrt(2)+sqrt(-2); F5 = sqrt(2)-sqrt(-2); // This is the sars-cov-1 gene alphabetical order label from Spike 649-689, CMC = [18 2 1 9 12 11 1 2 19 21 6 14 8 3 25 19 9 14 11 5 11 1 2 1 11 9 2 3 25 21 8 6 3 15 15 15 15 12 12 24 3 ]; cmc1 = mean((CMC - mean(CMC)).^F4); cmc3 = mean((CMC - mean(CMC)).^F5); X = [real(cmc1) real(cmc3)] Y = [imag(cmc1) imag(cmc3)] plot(X,Y,'g'); // Plot again on the same figure // This is the pangolin gene alphabetical order label from Spike 649-689, CMC = [24 2 1 9 12 6 1 2 19 21 6 13 13 3 25 19 9 14 11 5 6 1 2 1 11 9 2 3 25 21 3 20 3 15 15 15 15 3 12 24 3 ]; cmc1 = mean((CMC - mean(CMC)).^F4); cmc3 = mean((CMC - mean(CMC)).^F5); X = [real(cmc1) real(cmc3)] Y = [imag(cmc1) imag(cmc3)] plot(X,Y,'r'); // This is the sars-cov-2 gene alphabetical order label from Spike 649-689, CMC = [24 2 1 9 12 11 1 2 19 21 6 13 13 3 25 19 9 14 11 5 11 1 2 1 11 9 2 3 25 18 8 18 8 13 3 5 24 24 2 24 3 ]; cmc1 = mean((CMC - mean(CMC)).^F4); cmc3 = mean((CMC - mean(CMC)).^F5); X = [real(cmc1) real(cmc3)] Y = [imag(cmc1) imag(cmc3)] plot(X,Y,'c'); // This is the bat gene alphabetical order label from Spike 649-689, CMC = [24 2 1 9 12 11 1 2 19 21 6 13 13 3 25 19 9 14 11 5 11 1 2 1 11 9 2 3 25 18 8 18 8 13 3 15 15 15 15 24 3 ]; cmc1 = mean((CMC - mean(CMC)).^F4); cmc3 = mean((CMC - mean(CMC)).^F5); X = [real(cmc1) real(cmc3)] Y = [imag(cmc1) imag(cmc3)] plot(X,Y,'b'); disp('Done the Complex Moment Calculations'); // Put label on xlabel('Large label dispersion'); ylabel('Small label dispersion'); title('The Round Variances for Virus Spike Amino Acid Sequence'); legend('SARS-COV-1', 'Pangolin','SARS-COV-2', 'Bat');
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clear; clc; // Example: 8.8 // Page: 305 printf("Example: 8.8 - Page: 305\n\n"); // Solution //*****Data******// Ql = 5;// [tons] Tl = -10 + 273;// [K] Th = 35 + 273;// [K] eta = 0.85; H1 = 183.2;// [Enthalpy of saturated vapour at 263 K, kJ/kg] H2 = 208.3;// [Enthalpy of superheated vapour, kJ/kg] H3 = 69.5;// [Enthalpy of saturated vapour at 308 K, kJ/kg] H4 = H3;// [kJ/kg] //***************// // Solution (a) // Mass flow rate: Ql = Ql*3.516;// [kW] mdot = Ql/(H1 - H4);// [kW] printf("Mass flow rate of the refrigerant is %.4f kg/s\n",mdot); // Solution (b) W = H2 - H1;// [kJ/kg] Wnet = W*mdot/eta;// [kW] printf("Power consumption in the compression is %.2f kW\n",Wnet); // Solution (c) Qh = Ql + Wnet;// [kW] printf("The amount of heat rejected in the condenser is %.2f kW\n",Qh); // Solution (d) COP_VapourCompression = (H1 - H4)/(H2 - H1); COP_Carnot = Tl/(Th - Tl); COP_relative = COP_VapourCompression/COP_Carnot; printf("Relative COP is %.2f\n",COP_relative);
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//Eg-4.1 //pg-139 clear clc A=[-3 0 1]; xl=1; xu=3; fx=poly(A,'x','c') //This is used determine true root with less errors using bisection method //input arguments--xl(lower bound of x),xu(upper bound of x),es(stopping criterion error),f(given function) //output arguments--root(final value of x) obtained from my code,pre-percent relative error,itns-number of itertions used in the code xrold=(xl+xu)/2; //Verying whether in given interval,function are applicable for bisecion method if horner(fx,xl)*horner(fx,xu)>0 then disp("there are more than 2 roots or no root ,so bisection method is not applicable") elseif horner(fx,xl)*horner(fx,xu)==0 then disp("there is no need to apply any method since one of bound is a root") elseif horner(fx,xl)*horner(fx,xrold)==0|horner(fx,xrold)*horner(fx,xu)==0 then disp("(xl+xu)/2 is the required root") else //BISECTION METHOD disp("The given function has only one root in the given interval ,so by applying bisection method root can be determined") test=horner(fx,xl)*horner(fx,xrold); if test<0 then xu=xrold; elseif test>0 then xl=xrold; else root=xrold; end xrnew=(xl+xu)/2; ea=abs(xrnew-xrold)*100/abs(xrnew); pre(1,1)=ea; iter=1; itns(1,1)=1; i=1; while i<=10 printf('\n\nIteration No. %i \n',i); printf('xlow=%f \n',xl); printf('xhigh=%f \n',xu); xrold=xrnew; test=horner(fx,xl)*horner(fx,xrold); if test<0 then xu=xrold; elseif test>0 then xl=xrold; else root=xrold; end xrnew=(xl+xu)/2; fnew=horner(fx,xrnew); ea=abs(xrnew-xrold)*100/abs(xrnew); iter=iter+1; itns(iter,1)=iter; pre(iter,1)=ea; i=i+1; printf('xnew=%f \n',xrnew); printf('fnew=%f \n',fnew); end root=xrnew;//True root end
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<test> <description>Test interpolation in deformed elems on surfaces</description> <executable>FieldConvert</executable> <parameters>-m interpfield:fromxml=interpTest_mesh_1.xml:fromfld=interpTest_field_1.fld interpTest_mesh_2.xml interpTest_field_2.fld</parameters> <files> <file description="Session File">interpTest_mesh_2.xml</file> </files> <metrics> <metric type="L2" id="1"> <value variable="u" tolerance="0.046">0</value> </metric> </metrics> </test>
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// Scilab Code Ex7.1 : Variation of critical magnetic field with temperature : Page-152 (2010) T_c = 3.722; // Critical temperature of superconducting transition, kelvin B_c0 = 0.0306; // Critical magnetic field to destroy superconductivity, tesla T = 2; // Temperature at which critical magnetic field is to be found out, kelvin B_cT = B_c0*(1-(T/T_c)^2); printf("\nThe critical magnetic field at %d K = %6.4f T", T, B_cT); // Result // The critical magnetic field at 2 K = 0.0218 T s
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// Example14.10 // Design a video amplifier of IC 1550 circuit clc; clear; close; Vcc = 12 ; // V Av = -10 ; Vagc = 0 ; // at bandwidth of 20 MHz hfe = 50 ; // forward emitter parameter rbb = 25 ; // ohm // base resistor Cs = 1*10^-12 ; // F // source capacitor Cl = 1*10^-12 ; // F // load capacitor Ie1 = 1*10^-3 ; // A // emitter current of Q1 f = 1000*10^6 ; // Hz Vt = 52*10^-3 ; Vt1 = 0.026 ; // When Vagc =0 the transistor Q2 is cut-off and the collector current of transistor Q2 flow through the transistor Q3 // i.e Ic1=Ie1=Ie3 Ie3 = 1*10^-3 ; // A // emitter current of Q3 Ic1 = 1*10^-3 ; // A // collector current of the transistor Q1 // it indicates that the emitter current of Q2 is zero Ie2 = 0 then the emitter resistor of Q2 is infinite re2 = %inf ; // emitter resistor of Q3 re3 = (Vt/Ie1); disp('The emitter resistor of Q3 is = '+string(re3)+' ohm ( at temperature 25 degree celsius) '); // the trans conductance of transistor is gm = (Ie1/Vt1); disp('The trans conductance of transistor is = '+string(gm*1000)+' mA/V '); // Round Off Error // the base emitter resistor rbe rbe = (hfe/gm); disp('The base emitter resistor rbe is = '+string(rbe/1000)+' K ohm '); // Round Off Error // the emitter capacitor Ce Ce = (gm/(2*%pi*f)); disp('The emitter capacitor Ce = '+string(Ce)+' F '); // Round Off Error // the voltage gain of video amplifier is // Av = (Vo/Vin) ; // Av = -((alpha3*gm)/(rbb*re3)*((1/rbb)+(1/rbe)+sCe)*((1/re2)+(1/re3)+sC3)*((1/Rl)+(s(Cs+Cl)))) // At Avgc = 0 i.e s=0 in the above Av equation alpha3 = 1 ; s = 0 ; // Rl = -((alpha3*gm)/(rbb*re3)*(((1/rbb)+(1/rbe))*((1/re2)+(1/re3))*(Av))); // After solving above equation for Rl We get Rl Equation as Rl = 10/(37.8*10^-3); disp('The value of resistance RL is = '+string(Rl)+' ohm '); // there are three poles present in the transfer function of video amplifier each pole generate one 3-db frequency Rl = 675 ; // fa = 1/(2*%pi*Rl*(Cs+Cl)); // after putting value of Rl ,Cs and Cl we get fa = 1/(2*3.14*264.55*1*10^-12); disp('The pole frequency fa is = '+string(fa*10^-3/1000)+' M Hz '); // Round Off Error //fb = 1/(2*%pi*Ce*((rbb*rbe)/(rbb+rbe))); // after putting value of Ce rbb and rbe we get fb = 1/(2*%pi*6.05*10^-12*24.5); disp('The pole frequency fb is = '+string(fb*10^-3/1000)+' M Hz '); fc = 1/(2*%pi*Cs*re3); disp('The pole frequency fc is = '+string(fc*10^-3/1000)+' M Hz '); disp(' Hence fa is a dominant pole frequency ');
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clear; clc; // Stoichiometry // Chapter 5 // Energy Balances // Example 5.40 // Page 292 printf("Example 5.40, Page 292 \n \n"); // solution // basis 4 kmol of HCl gas O2req = 1 // kmol O2spply = 1.35*1 N2 = 1.35*79/21 air = O2spply+N2 HClbrnt = .8*4 HCl = 4-HClbrnt O2 = O2spply-.8 Cl2 = .8*2 H2O = .8*2 printf(" (a) \n \n Composition of dry product gas stream : \n Component Dry product gas stream,kmol \n HCl "+string(HCl)+" \n O2 "+string(O2)+" \n Cl2 "+string(Cl2)+" \n H2O "+string(H2O)+" \n N2 "+string(N2)+" \n \n \n (b) \n \n ") H2 = 114.4*1000*.8 // H2 = intgr(from 298.15 to T){286.554+12.596*10^-3*T+63.246*10^-6*T^2-25.933*10^-9*T^3}dT // solving it T = 599.5 // K printf(" Adiabatic reaction temperature of product gas stream = "+string(T)+" K.")
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\SET TIME SLOW \RELE PRINT CROUTPUT: #title Geom test using CYCLo data #LIST 1 REAL 4.9249 11.0348 15.3223 90.0000 90.0000 90.0000 END #set print off #LIST 2 CELL NSYM= 4 LATT=P CENTRIC=N SYMM x,y,z SYMM x+1/2,-y+1/2,-z SYMM -x,y+1/2,-z+1/2 SYMM -x+1/2,-y,z+1/2 SPACEGROUP P 21 21 21 CLASS Orthorhombic END #LIST 3 READ NSCATTERERS= 4 SCAT TYPE= C 0.003300 0.001600 2.310000 20.843920 CONT 1.020000 10.207510 1.588600 0.568700 CONT 0.865000 51.651249 0.215600 SCAT TYPE= H 0.000000 0.000000 0.493000 10.510910 CONT 0.322910 26.125731 0.140190 3.142360 CONT 0.040810 57.799770 0.003040 SCAT TYPE= N 0.006100 0.003300 12.212610 0.005700 CONT 3.132200 9.893310 2.012500 28.997540 CONT 1.166300 0.582600 -11.529010 SCAT TYPE= O 0.010600 0.006000 3.048500 13.277110 CONT 2.286800 5.701110 1.546300 0.323900 CONT 0.867000 32.908939 0.250800 END #LIST 4 SCHEME 9 NPARAM= 0 TYPE=1/2FO CONT WEIGHT= 2.0000000 MAX= 10000.0000 ROBUST=N CONT DUNITZ=N TOLER= 6.0000 DS1= 1.0000 CONT DS2= 1.0000 QUASI= 0.2500 END # # Punched on 04/12/15 at 09:21:16 # #LIST 5 READ NATOM = 22, NLAYER = 0, NELEMENT = 0, NBATCH = 0 OVERALL 1.592849 0.050000 0.050000 1.000000 -0.511109 0.0000000 ATOM O 1. 1.000000 0. 0.477258 0.392352 0.183637 CON U[11]= 0.023088 0.048447 0.050445 -0.002186 0.000200 -0.001381 CON SPARE= 1.00 0 25165827 1 0 ATOM C 2. 1.000000 0. 0.236061 0.383744 0.165562 CON U[11]= 0.030719 0.024641 0.033005 0.002766 -0.000548 -0.001666 CON SPARE= 1.00 0 25690115 1 0 ATOM N 3. 1.000000 0. 0.040243 0.408935 0.224064 CON U[11]= 0.022269 0.037461 0.032223 -0.002291 -0.002869 -0.001667 CON SPARE= 1.00 0 25690115 1 0 ATOM C 4. 1.000000 0. 0.103271 0.452868 0.309483 CON U[11]= 0.027469 0.031424 0.032134 -0.003174 0.000680 0.001281 CON SPARE= 1.00 0 25690115 1 0 ATOM C 5. 1.000000 0. 0.236686 0.368851 0.371802 CON U[11]= 0.037268 0.030805 0.031857 -0.003470 0.001192 -0.002417 CON SPARE= 1.00 0 25165827 1 0 ATOM O 6. 1.000000 0. 0.229334 0.253887 0.344989 CON U[11]= 0.062662 0.027293 0.036639 -0.002483 -0.008633 0.001617 CON SPARE= 1.00 0 25165827 1 0 ATOM C 7. 1.000000 0. 0.356782 0.167334 0.403307 CON U[11]= 0.086980 0.036296 0.043681 0.001908 -0.007191 0.013216 CON SPARE= 1.00 0 25165827 1 0 ATOM O 8. 1.000000 0. 0.335229 0.400850 0.440110 CON U[11]= 0.070872 0.038360 0.035038 -0.005396 -0.013762 0.000531 CON SPARE= 1.00 0 25165827 1 0 ATOM C 9. 1.000000 0. 0.168427 0.586205 0.319884 CON U[11]= 0.039301 0.028989 0.044713 -0.003852 0.000315 0.004049 CON SPARE= 1.00 0 25690115 1 0 ATOM C 10. 1.000000 0. -0.100871 0.539932 0.349225 CON U[11]= 0.033820 0.049376 0.050067 -0.011555 0.004850 0.010119 CON SPARE= 1.00 0 25690115 1 0 ATOM C 11. 1.000000 0. 0.139365 0.347736 0.076300 CON U[11]= 0.046286 0.038501 0.031319 0.000927 0.000123 -0.004700 CON SPARE= 1.00 0 25165827 1 0 ATOM H 73. 1.000000 1. 0.357488 0.088761 0.371806 CON U[11]= 0.082099 0.000000 0.000000 0.000000 0.000000 0.000000 CON SPARE= 1.00 0 8650762 0 0 ATOM H 72. 1.000000 1. 0.262393 0.163227 0.459718 CON U[11]= 0.083082 0.000000 0.000000 0.000000 0.000000 0.000000 CON SPARE= 1.00 0 8650762 0 0 ATOM H 71. 1.000000 1. 0.539974 0.192683 0.409729 CON U[11]= 0.083145 0.000000 0.000000 0.000000 0.000000 0.000000 CON SPARE= 1.00 0 8650762 0 0 ATOM H 91. 1.000000 1. 0.315134 0.604714 0.363533 CON U[11]= 0.045092 0.000000 0.000000 0.000000 0.000000 0.000000 CON SPARE= 1.00 0 8650762 0 0 ATOM H 92. 1.000000 1. 0.191155 0.634545 0.266038 CON U[11]= 0.045159 0.000000 0.000000 0.000000 0.000000 0.000000 CON SPARE= 1.00 0 8650762 0 0 ATOM H 101. 1.000000 1. -0.134139 0.532310 0.413201 CON U[11]= 0.052677 0.000000 0.000000 0.000000 0.000000 0.000000 CON SPARE= 1.00 0 8650762 0 0 ATOM H 102. 1.000000 1. -0.277130 0.556620 0.317199 CON U[11]= 0.054638 0.000000 0.000000 0.000000 0.000000 0.000000 CON SPARE= 1.00 0 8650762 0 0 ATOM H 113. 1.000000 1. -0.049340 0.328654 0.077124 CON U[11]= 0.058242 0.000000 0.000000 0.000000 0.000000 0.000000 CON SPARE= 1.00 0 8650762 0 0 ATOM H 112. 1.000000 1. 0.170588 0.414305 0.037052 CON U[11]= 0.059595 0.000000 0.000000 0.000000 0.000000 0.000000 CON SPARE= 1.00 0 8650762 0 0 ATOM H 111. 1.000000 1. 0.250689 0.277264 0.059050 CON U[11]= 0.059391 0.000000 0.000000 0.000000 0.000000 0.000000 CON SPARE= 1.00 0 8650762 0 0 ATOM H 31. 1.000000 1. -0.127952 0.399353 0.209756 CON U[11]= 0.037642 0.000000 0.000000 0.000000 0.000000 0.000000 CON SPARE= 1.00 0 8912897 0 0 END # # Punched on 04/12/15 at 09:21:23 # #LIST 12 BLOCK CONT SCALE CONT O ( 1 ,X'S,U'S) UNTIL C ( 11 ) CONT H ( 31 ,X'S) CONT ENANTIO RIDE C ( 7,X'S) H ( 73,X'S) H ( 72,X'S) H ( 71,X'S) RIDE C ( 9,X'S) H ( 91,X'S) H ( 92,X'S) RIDE C ( 10,X'S) H ( 101,X'S) H ( 102,X'S) RIDE C ( 11,X'S) H ( 113,X'S) H ( 112,X'S) H ( 111,X'S) END # Remove space after hash to activate next line # USE LAST #LIST 13 CRYST FRIEDELPAIRS=N TWINNED=N SPREAD=GAUSSIA DIFFRACTION GEOMETRY=UNKNOWN RADIATION=XRAYS CONDI WAVEL= 0.71073 0.000 0.000 0.5869359 0.6427007 0.0001788 90.000 MATR 0.000000000 0.000000000 0.000000000 CONT 0.000000000 0.000000000 0.000000000 CONT 0.000000000 0.000000000 0.000000000 END # # Punched on 04/12/15 at 09:21:54 # #LIST 16 DIST 1.5,.01 = C(9) TO C(10) REM HREST START (DO NOT REMOVE THIS LINE) REM NO H NO #H U MULT DIST REM C-H REM >4 1.5 .96 DISORDER REM 1 1 1.2 .93 C C-H (ACETYLENE) REM 1 2 1.2 .93 C-C(H)-C REM 1 3 1.2 .98 (C)3-C-H REM 2 1 1.2 .93 C=C-H(2) REM 2 2 1.2 .97 (C)2-C-(H)2 REM 3 1 1.5 .96 C-C-(H)3 REM N-H REM >4 1.5 .89 DISORDER REM 1 1 1.2 .86 N-N/H REM 1 2 1.2 .86 (C)2-N-H REM 1 3 1.2 .89 (C)3-N-H REM 2 1 1.2 .86 C-N-(H)2 REM 2 2 1.2 .89 (C)2-N-(H)2 REM 3 1 1.2 .89 C-H-(H)3 REM O-H REM 1 1 1.5 .82 O-H REM REM DIST ESD = 0.02 REM VIB ESD = 0.002 REM ANGLE ESD = 2.0 REM REM TO ACTIVATE THE VIB RESTRAINTS, REMOVE LEADING REM REM H1-N-R2 DIST 0.86, 0.02 = CONT N ( 3) TO H(31) REM REST 0.037, 0.002 = H(31,U[ISO]) ANGLE 0.0, 2.0 = MEAN CONT H(31) TO N ( 3) TO C(2) CONT H(31) TO N ( 3) TO C(4) REM HREST END (DO NOT REMOVE THIS LINE) END # Remove space after hash to activate next line # USE LAST #LIST 23 MODIFY ANOM=Y EXTI=N LAYER=N BATCH=N CONT PARTI=N UPDA=N ENANT=Y MINIMI NSING= 0 F-SQ=Y RESTR=Y REFLEC=Y ALLCYCLES U[MIN]= 0.00000000 CONT MIN-R= 0.000000 MAX-R= 100.000 CONT MIN-WR= 0.000000 MAX-WR= 100.000 CONT MIN-SUMSQ= 0.030000 MAX-SUMSQ= 10000.000 CONT MIN-MINFUNC= 0.000000 MAX-MINFUNC= 999999986991104.000 INTERCYCLE MIN-DR= -5.000000 MAX-DR= 100.000 CONT MIN-DWR= -5.000000 MAX-DWR= 100.000 CONT MIN-DSUMSQ=-10.000000 MAX-DSUMSQ= 10000.000 CONT MIN-DMINFUNC= 0.000000 MAX-DMINFUNC= 999999986991104.000 REFINE SPEC=CONSTRAIN UPDATE=PARAMETERS TOL= 0.60000 END #LIST 28 READ NSLICE= 0 NOMIS= 0 NCOND= 0 MINIMA CONT SINTH/L**2 = 0.01000 CONT RATIO = -3.00000 END #LIST 29 READ NELEM= 4 # covalent,vdw,ionic,number,muA,weight,colour ELEMENT C 0.7700 1.7800 0.0100 7.000 1.150 12.011 GREE ELEMENT H 0.3200 1.3300 -0.3000 11.000 0.062 1.008 LGRE ELEMENT N 0.7700 1.7800 -0.1000 1.000 1.960 14.007 BLUE ELEMENT O 0.7700 1.7800 1.3600 3.000 3.250 15.999 RED END #LIST 31 AMULT 0.00000036 MATRIX 0.11111 0.00000 0.00000 0.00000 0.00000 0.00000 CONT 0.69444 0.00000 0.00000 0.00000 0.00000 CONT 1.00000 0.00000 0.00000 0.00000 CONT 0.00000 0.00000 0.00000 CONT 0.00000 0.00000 CONT 0.00000 END # # Punched on 04/12/15 at 09:26:22 # #LIST 40 DEFAULTS TOLTYPE= 1 TOLERANCE= 1.210 MAXBONDS = 12 READ NELEM= 0 NPAIR= 0 NMAKE= 0 NBREAK= 0 END # Remove space after hash to activate next line # USE LAST # # Punched on 04/12/15 at 09:26:28 # #LIST 6 READ NCOEFFICIENT =5, TYPE=COMPRESSED, UNIT=DATAFILE arch=no INPUT H K L /FO/ RATIO MULTIPLIERS 1.0 1.0 1.0 12.465121269 16.281721115 END 0 0 2 494 547 4 103 284 6 37 35 512 1 0 2 19 47 3 -12 -9 4 15 20 5 122 430 6 35 47 512 2 0 0 108 79 1 85 635 2 511 753 3 99 544 4 171 570 5 73 231 6 -32 -36 512 3 0 1 671 957 2 71 523 3 123 723 4 254 768 5 84 335 6 27 26 512 4 0 1 374 688 2 30 105 3 285 780 4 174 649 5 35 55 6 58 81 512 5 0 1 905 722 2 292 844 3 62 255 4 152 491 5 118 208 512 6 0 0 874 396 1 165 635 2 52 283 3 104 439 4 178 498 5 -16 -11 512 7 0 1 32 104 2 254 728 3 149 540 4 56 162 5 39 47 512 8 0 0 352 343 1 200 666 2 310 736 3 210 417 4 256 483 5 25 20 512 9 0 1 330 546 2 294 729 3 97 235 4 113 182 512 10 0 0 11 3 1 106 344 2 118 396 3 87 135 4 112 179 512 11 0 1 25 30 2 12 6 3 80 116 4 41 38 512 12 0 0 84 133 1 93 224 2 16 13 3 62 74 512 13 0 1 12 4 2 106 188 512 14 0 0 173 168 1 12 2 512 0 1 1 559 367 2 579 785 3 379 767 4 75 328 5 81 290 6 58 116 512 1 1 -6 38 55 -5 178 491 -4 68 256 -3 140 530 -2 485 763 2 484 784 3 139 658 4 72 306 5 181 476 6 24 19 512 2 1 -6 51 78 -5 124 396 -4 299 641 -3 80 452 -2 317 841 -1 509 900 0 736 192 1 507 828 2 321 805 3 81 434 4 301 696 5 126 409 6 44 66 512 3 1 -6 22 19 -5 214 541 -4 131 622 -3 392 758 -2 199 767 -1 297 816 0 422 542 1 295 896 2 200 763 3 387 912 4 135 661 5 211 612 6 11 3 512 4 1 -6 34 29 -5 80 201 -4 132 633 -3 154 733 -2 448 846 -1 442 671 0 358 399 1 443 874 2 446 746 3 158 636 4 131 562 5 77 217 6 12 2 512 5 1 -5 35 45 -4 37 108 -3 236 672 -2 97 491 -1 195 644 0 72 323 1 191 661 2 97 617 3 232 712 4 36 103 5 40 69 512 6 1 -5 28 30 -4 170 529 -3 152 578 -2 133 662 -1 181 660 0 548 552 1 178 642 2 132 699 3 150 500 4 172 461 5 38 58 512 7 1 -5 204 315 -4 65 175 -3 221 602 -2 185 643 -1 184 585 0 123 394 1 189 561 2 190 701 3 220 619 4 66 170 5 205 266 512 8 1 -5 92 176 -4 112 287 -3 93 333 -2 156 554 -1 184 473 0 279 479 1 184 562 2 157 612 3 94 265 4 110 333 5 92 172 512 9 1 -4 99 149 -3 138 331 -2 120 519 -1 306 461 0 29 48 1 315 566 2 118 428 3 142 377 4 107 161 512 10 1 -4 66 85 -3 28 20 -2 157 389 -1 160 440 0 220 369 1 166 445 2 158 372 3 36 51 4 60 71 512 11 1 -4 50 47 -3 25 21 -2 28 64 -1 18 20 0 65 152 1 18 22 2 30 66 3 -15 -9 4 54 51 512 12 1 -3 58 68 -2 75 163 -1 21 21 0 35 54 1 16 9 2 71 182 3 42 67 512 13 1 -2 62 129 -1 50 95 0 47 65 1 49 81 2 55 92 512 14 1 -1 32 37 0 58 83 1 46 71 512 0 2 1 942 367 2 414 813 3 351 728 4 212 655 5 93 292 6 44 63 512 1 2 -6 55 92 -5 144 352 -4 229 676 -3 326 628 -2 369 825 -1 412 647 0 -6 -7 1 412 797 2 368 783 3 323 751 4 225 674 5 152 438 6 59 112 512 2 2 -6 4 1 -5 106 338 -4 189 624 -3 107 496 -2 282 769 -1 423 867 0 615 428 1 424 898 2 283 758 3 111 588 4 185 611 5 107 343 6 22 15 512 3 2 -6 25 22 -5 76 304 -4 175 733 -3 404 855 -2 296 889 -1 214 802 0 999 729 1 218 870 2 291 864 3 401 841 4 180 758 5 77 230 6 24 14 512 4 2 -6 55 81 -5 125 428 -4 244 648 -3 67 393 -2 329 778 -1 343 731 0 73 327 1 347 902 2 328 814 3 68 325 4 246 653 5 117 376 6 55 78 512 5 2 -5 126 299 -4 168 566 -3 177 670 -2 344 756 -1 101 507 0 45 179 1 100 649 2 349 932 3 175 656 4 168 550 5 124 348 512 6 2 -5 111 251 -4 61 185 -3 93 324 -2 310 824 -1 385 674 0 604 550 1 387 647 2 313 836 3 97 429 4 69 219 5 116 246 512 7 2 -5 -24 -21 -4 135 322 -3 121 480 -2 58 293 -1 165 583 0 289 534 1 166 668 2 56 236 3 122 490 4 137 395 5 -24 -20 512 8 2 -5 15 8 -4 123 228 -3 140 422 -2 238 705 -1 146 381 0 72 248 1 144 603 2 234 629 3 146 373 4 119 276 5 33 40 512 9 2 -4 80 121 -3 68 107 -2 145 522 -1 60 178 0 -7 -2 1 63 211 2 140 529 3 70 179 4 82 134 512 10 2 -4 67 92 -3 140 220 -2 105 341 -1 76 275 0 44 102 1 79 262 2 103 399 3 130 317 4 61 62 512 11 2 -4 48 48 -3 37 41 -2 44 118 -1 59 126 0 131 325 1 63 181 2 56 173 3 42 49 4 39 40 512 12 2 -3 60 75 -2 22 20 -1 143 310 0 33 59 1 139 270 2 21 25 3 48 70 512 13 2 -2 46 66 -1 56 96 0 19 18 1 63 114 2 46 73 512 14 2 -1 20 13 0 58 94 1 18 11 512 0 3 1 450 663 2 386 762 3 88 475 4 120 535 5 25 32 6 10 2 512 1 3 -6 59 100 -5 114 333 -4 79 345 -3 206 707 -2 519 774 0 184 668 2 514 798 3 204 749 4 81 363 5 117 380 6 57 111 512 2 3 -6 11 3 -5 65 170 -4 88 387 -3 55 228 -2 609 704 -1 379 918 0 132 424 1 377 778 2 600 812 3 55 265 4 86 352 5 64 192 6 0 0 512 3 3 -6 67 114 -5 174 556 -4 212 675 -3 152 636 -2 393 848 -1 350 601 1 357 777 2 385 877 3 149 687 4 214 716 5 172 451 6 58 91 512 4 3 -6 33 28 -5 37 72 -4 49 183 -3 192 774 -2 276 839 -1 250 660 0 170 548 1 250 935 2 282 707 3 195 721 4 50 167 5 21 28 6 -7 -1 512 5 3 -5 87 229 -4 89 435 -3 57 227 -2 292 765 -1 379 678 0 230 578 1 383 766 2 290 774 3 55 223 4 93 337 5 79 220 512 6 3 -5 46 69 -4 125 379 -3 154 593 -2 280 789 -1 441 699 0 352 596 1 446 738 2 282 781 3 157 599 4 126 371 5 53 100 512 7 3 -5 47 83 -4 35 69 -3 156 544 -2 305 761 -1 131 487 0 300 604 1 131 579 2 306 728 3 155 589 4 30 56 5 41 54 512 8 3 -5 24 12 -4 92 211 -3 108 330 -2 148 449 -1 324 567 0 51 158 1 321 658 2 145 567 3 103 278 4 90 250 5 19 14 512 9 3 -4 82 113 -3 73 122 -2 184 432 -1 89 298 0 365 460 1 85 346 2 181 507 3 72 188 4 73 111 512 10 3 -4 47 50 -3 71 120 -2 38 41 -1 148 387 0 102 310 1 152 405 2 27 65 3 60 128 4 44 50 512 11 3 -3 -8 -1 -2 94 212 -1 72 192 0 261 385 1 60 177 2 84 224 3 59 65 512 12 3 -2 58 91 -1 149 291 0 54 120 1 154 334 2 47 91 3 -10 -2 512 13 3 -2 61 95 -1 70 146 0 77 160 1 73 129 2 71 134 512 14 3 0 -21 -18 512 0 4 1 35 330 2 650 758 3 86 457 4 37 104 5 189 498 6 76 150 512 1 4 -6 38 55 -5 0 0 -4 358 670 -3 344 736 -2 224 782 -1 568 700 0 10 23 1 552 658 2 221 787 3 337 796 4 359 590 5 9 3 6 41 61 512 2 4 -6 47 49 -5 86 237 -4 133 542 -3 282 796 -2 367 903 -1 333 943 0 352 726 1 336 778 2 359 824 3 282 717 4 134 551 5 82 249 6 52 76 512 3 4 -6 55 52 -5 57 169 -4 94 463 -3 110 609 -2 144 780 -1 387 777 0 142 378 1 394 895 2 143 612 3 112 576 4 99 412 5 60 164 6 78 96 512 4 4 -6 54 62 -5 173 543 -4 96 479 -3 89 517 -2 268 889 -1 687 656 0 22 74 1 699 905 2 268 708 3 85 398 4 90 343 5 172 444 6 62 105 512 5 4 -5 28 38 -4 140 588 -3 106 532 -2 163 665 -1 274 697 0 871 598 1 275 747 2 162 706 3 108 509 4 130 464 5 30 41 512 6 4 -5 65 118 -4 50 130 -3 171 625 -2 205 609 -1 105 373 0 87 377 1 106 615 2 205 747 3 171 568 4 48 127 5 63 122 512 7 4 -5 101 142 -4 118 338 -3 95 336 -2 61 229 -1 113 421 0 10 5 1 116 642 2 67 298 3 93 366 4 121 352 5 100 204 512 8 4 -5 25 15 -4 134 205 -3 35 45 -2 236 563 -1 111 359 0 229 555 1 113 533 2 233 611 3 47 97 4 132 381 5 35 39 512 9 4 -4 18 7 -3 61 82 -2 153 451 -1 169 452 0 517 589 1 171 640 2 149 527 3 60 143 4 16 6 512 10 4 -4 39 30 -3 41 55 -2 110 188 -1 219 371 0 212 394 1 219 519 2 110 371 3 46 76 4 12 2 512 11 4 -3 98 130 -1 92 248 0 181 329 1 88 271 2 77 250 3 98 206 512 12 4 -3 90 115 -2 35 47 -1 94 235 0 21 27 1 80 226 2 38 67 3 93 168 512 13 4 -2 88 154 -1 15 9 0 124 216 1 22 21 2 81 142 512 14 4 0 38 39 512 0 5 1 9 14 2 666 628 3 484 773 4 49 167 5 32 57 6 88 107 512 1 5 -6 42 30 -5 157 355 -4 271 612 -3 291 732 -2 68 373 -1 438 874 0 750 718 1 437 794 2 69 495 3 288 712 4 271 665 5 152 412 6 44 32 512 2 5 -6 58 64 -5 199 490 -4 258 641 -3 151 649 -2 202 876 -1 237 980 0 372 776 1 240 777 2 201 728 3 147 709 4 259 683 5 204 490 6 77 111 512 3 5 -6 68 78 -5 77 269 -4 216 633 -3 98 527 -2 30 135 -1 365 785 0 909 539 1 367 916 2 34 149 3 100 521 4 214 500 5 76 221 6 48 49 512 4 5 -5 36 67 -4 57 224 -3 163 710 -2 175 842 -1 384 696 0 465 816 1 384 929 2 171 685 3 163 660 4 53 154 5 42 68 512 5 5 -5 66 162 -4 193 568 -3 105 527 -2 203 654 -1 296 496 0 299 536 1 301 785 2 204 674 3 110 485 4 194 531 5 65 143 512 6 5 -5 95 149 -4 125 364 -3 280 680 -2 83 361 -1 262 548 0 150 522 1 262 827 2 81 456 3 276 653 4 127 414 5 89 192 512 7 5 -5 85 111 -4 78 225 -3 277 538 -2 147 484 -1 110 398 0 473 601 1 119 598 2 146 590 3 288 589 4 81 237 5 75 132 512 8 5 -5 47 35 -4 33 32 -3 166 367 -2 85 314 -1 274 526 0 87 357 1 276 726 2 86 356 3 165 392 4 39 63 5 69 103 512 9 5 -4 98 156 -3 86 179 -2 132 301 -1 335 460 0 249 552 1 338 692 2 138 463 3 81 194 4 111 156 512 10 5 -4 108 127 -3 122 237 -2 133 225 -1 85 251 0 200 417 1 87 304 2 128 402 3 120 198 4 104 128 512 11 5 -3 26 21 -1 73 176 0 93 229 1 72 215 2 60 142 3 36 53 512 12 5 -3 61 76 -2 39 63 -1 87 184 0 46 107 1 84 202 2 46 80 3 42 60 512 13 5 -2 57 71 -1 63 108 0 114 205 1 52 91 2 54 93 512 0 6 0 530 626 1 109 692 2 226 838 3 158 669 4 209 638 5 196 463 6 72 91 512 1 6 -6 -12 -2 -5 71 182 -4 213 572 -3 209 686 -2 276 704 -1 163 999 0 191 885 1 167 667 2 270 805 3 211 699 4 210 550 5 71 205 6 29 22 512 2 6 -6 40 34 -5 60 197 -4 196 581 -3 125 678 -2 397 799 -1 687 939 0 224 632 1 680 695 2 395 700 3 126 723 4 196 696 5 57 110 6 35 27 512 3 6 -5 97 316 -4 93 430 -3 140 687 -2 25 109 -1 125 748 0 226 755 1 128 858 2 24 77 3 139 610 4 91 324 5 97 225 512 4 6 -5 113 333 -4 174 578 -3 210 722 -2 132 702 -1 23 54 0 341 811 1 26 143 2 130 610 3 210 731 4 174 497 5 112 263 512 5 6 -5 88 186 -4 151 459 -3 113 540 -2 298 620 -1 88 349 0 131 643 1 92 596 2 295 734 3 112 488 4 148 458 5 99 230 512 6 6 -5 101 133 -4 40 101 -3 100 403 -2 233 618 -1 129 425 0 525 625 1 134 670 2 231 737 3 97 339 4 47 106 5 104 225 512 7 6 -5 95 125 -4 143 323 -3 175 412 -2 172 527 -1 225 477 0 126 378 1 226 745 2 178 543 3 176 498 4 144 345 5 73 139 512 8 6 -4 170 196 -3 176 377 -2 157 439 -1 147 380 0 211 577 1 150 588 2 161 605 3 176 406 4 175 328 512 9 6 -4 18 10 -3 79 173 -2 99 207 -1 153 371 0 119 412 1 149 570 2 100 392 3 77 186 4 45 38 512 10 6 -4 20 10 -3 156 204 -2 45 67 -1 117 311 0 40 89 1 118 426 2 32 73 3 158 288 4 7 1 512 11 6 -3 10 2 -2 155 266 -1 22 27 0 62 151 1 17 21 2 141 326 3 34 51 512 12 6 -2 57 111 -1 21 17 0 114 234 1 32 47 2 59 92 512 13 6 -1 54 98 0 -13 -8 1 44 66 512 0 7 1 65 369 2 253 729 3 352 740 4 112 424 5 119 301 512 1 7 -5 76 191 -4 142 500 -3 101 506 -2 82 507 -1 417 868 0 446 917 1 412 678 2 80 617 3 100 585 4 136 538 5 73 176 512 2 7 -5 97 218 -4 70 258 -3 142 724 -2 224 764 -1 85 624 0 459 781 1 82 474 2 219 699 3 139 749 4 69 336 5 84 204 512 3 7 -5 28 29 -4 72 298 -3 132 608 -2 443 734 -1 78 491 0 306 855 1 77 568 2 439 770 3 132 625 4 78 287 5 37 56 512 4 7 -5 85 173 -4 59 203 -3 153 682 -2 255 749 -1 384 585 0 17 49 1 386 836 2 249 766 3 155 664 4 57 153 5 80 172 512 5 7 -5 12 4 -4 188 598 -3 45 194 -2 120 419 -1 319 560 0 86 484 1 325 864 2 121 564 3 42 140 4 184 575 5 20 17 512 6 7 -5 18 6 -4 91 289 -3 140 350 -2 51 308 -1 119 413 0 84 410 1 116 638 2 50 217 3 137 438 4 89 305 5 24 13 512 7 7 -5 59 75 -4 55 108 -3 132 318 -2 139 616 -1 163 465 0 269 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Exa_6_26.sce
//Exa 6.26 clc; clear; close; format('v',7); //Given Data : m1dot=3;//Kg/min p1=10;//bar Tsup1=250;//degree C m2dot=5;//Kg/min p2=10;//bar x2=0.7;//dryness p3=10;//bar p4=5;//bar p5=2;//bar m3dot=m1dot+m2dot;//Kg/min hsup1=2826.8;//KJ/Kg(at 10bar) hf2=762.6;//KJ/Kg(at 10bar) hf3=762.6;//KJ/Kg(at 10bar) hfg2=2013.6;//KJ/Kg(at 10bar) hfg3=2013.6;//KJ/Kg(at 10bar) //m1dot*hsup1+m2dot*(hf2+x2*hfg2)=m3dot*(hf3+x3*hfg3) x3=((m1dot*hsup1+m2dot*(hf2+x2*hfg2))/m3dot-hf3)/hfg3;//dryness disp(x3,"State of steam after mixing(dryness) : "); x4=0.838;//dryness(from molliers diagram) disp(x4,"State of steam after throttling(dryness) : "); sf3=2.138;//KJ/KgK(From steam table sfg3=4.445;//KJ/KgK(From steam table sf4=1.860;//KJ/KgK(From steam table) sfg4=4.959;//KJ/KgK(From steam table s4SUBs3=m3dot/60*[(sf4+x4*sfg4)-(sf3+x3*sfg3)];//KJ/Kg disp(s4SUBs3,"Increase in entropy due to throttling in KJ/KgK : "); h4=2405;//KJ/Kg(from Molliers diagram) h5=2265;//KJ/Kg(from Molliers diagram) x5=0.802;//dryness C4=0;//m/s(from S.F.E.E) //h4+C4^2/2/1000=h5+C5^2/2/1000 C5=sqrt((h4+C4^2/2/1000-h5)*2*1000);//m/s p5=2;//bar(from steam table) Vg5=0.885;//m^3/Kg(from steam table) //mdot/60=A5*C5/x5/Vg5 A5=m3dot/60/C5*x5*Vg5;//m^2 disp(A5*10^4,"Exit area of nozzle in cm^2 : "); //Steam table is used to get some data.
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A1 Abou Jaoude Yann TD3.sce
//EXERCICE I function derivey=y1(t,y), derivey=-y+t+1; endfunction function solution=sy1(t) solution = t+exp(-t); endfunction function [t, y] = Euler(a,b, N, alpha, f) h = (b-a)/N; t(1) = a; y(1) = alpha; i = 1; for i=1:N y(i+1)= y(i)+h*f(t(i), y(i) ); t(i+1)= t(i) + h; end endfunction function [t,y] = heun(a,b,n,alpha,f) h = (b - a) / n; halfh = h / 2; y(1) = alpha; t(1) = a; for i = 1 : n t(i+1) = t(i) + h; g = f(t(i),y(i)); z = y(i) + h * g; y(i+1) = y(i) + halfh * ( g + f(t(i+1),z) ); end; endfunction function [t,y] = rk4(a,b,n,alpha,f) h = (b - a) / n; halfh = h / 2; y(1) = alpha; t(1) = a; h6 = h/6; for i = 1 : n t(i+1) = t(i) + h; th2 = t(i) + halfh; s1 = f(t(i), y(i)); s2 = f(th2, y(i) + halfh * s1); s3 = f(th2, y(i) + halfh * s2); s4 = f(t(i+1), y(i) + h * s3); y(i+1) = y(i) + (s1 + s2+s2 + s3+s3 + s4) * h6; end; endfunction Alpha=1; A=0 B=5 //N=10 //N=100 N=1000 //Quand nous augmentons le n 10X, nous reduisonsl'erreur environ 100X [t,y2]=Euler(A,B,N,Alpha,y1) [t,y3]=heun(A,B,N,Alpha,y1); [t,y4]=rk4(A,B,N,Alpha,y1); sol(1)=sy1(t(1)); for i = 1:N+1 sol(i) = sy1(t(i)); end subplot(121); plot(t,sol,'k-'); subplot(121); plot(t,y2,'b-'); subplot(121); plot(t,y3,'g-'); subplot(121); plot(t,y4,'r-'); subplot(122); erreur = abs(y2-sol); plot(t,log(erreur),'b-'); subplot(122); erreur = abs(y3-sol); plot(t,log(erreur),'g-'); subplot(122); erreur = abs(y4-sol); plot(t,log(erreur),'r-'); legend(['Log erreur euler','Log erreur heun','Log erreur rk4'],pos = "2");
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Ex6_7.sce
//Chapter 6,Example 6.7 Page 201 clc clear //Refer Fig Ex. 6.7 Er = 3.8 v = 21 // KV/cm ind = v/Er // internal discharge in kV/cm V = (ind*0.9)+(v*0.1) printf (" Internal discharge = %f kV/cm\n ",ind) printf (" V = %f kV rms\n ",V) //Answer may vary due to round off error
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Interpolação Linear.sce
//interpolação linear x= [0,15,30,45,60,75,90] y= [1.000,0.9659,0.8660,0.7071,0.5000,0.2588,0.0000] i=[1,2,3,4,5,6] Xi=82.5;//Ponto que eu quero calcular a interpolação for i=1:(length(x)-1) if (Xi>= x(i) & Xi<x(i+1)) Yi= y(i) + ((y(i+1)-y(i))/(x(i+1)-x(i)))*(Xi-x(i)) end end plot(x,y,'k-o') disp(Yi)
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25_16.sce
//ques-25.16 //Calculating average and rms and most probable velocities of a gas clc n1=5; n2=10; n3=4;//number of molecules v1=2; v2=3; v3=6;//corresponding velocities (in m/s) Cavg=(n1*v1+n2*v2+n3*v3)/(n1+n2+n3);//average velocity Crms=sqrt((n1*v1^2+n2*v2^2+n3*v3^2)/(n1+n2+n3));//rms velocity Cmp=sqrt(2/3)*Crms;//most probable velocity printf("The average, rms and most probable velocities of the gas are %.2f m/s, %.2f m/s and %.0f m/s.",Cavg,Crms,Cmp);
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IQImbalanceCompensator.sci
function [y,estcoef] = IQImbalanceCompensator(in,ic,ss) y=zeros(length(in),1); estcoef=[]; // Display mode mode(0); // Display warning for floating point exception ieee(1); //IQImbalanceCompensator Compensate for I/Q imbalance //The adaptive algorithm inherent to the I/Q imbalance compensator is //compatible with M-PSK, M-QAM, and OFDM modulation schemes, where M>2. //[y,estcoef] = IQImbalanceCompensator(in,ic,ss) estimates the I/Q imbalance in the input signal, // in, and returns a compensated signal, Y. and also outputs the estimated coefficients, ESTCOEF // in:input-Input vector signal can be complex //ic indicates initial coefficient The initial coefficient is a complex scalar //ss:Adaptation step size Specifies the step size used by the algorithm in estimating the I/Q imbalance //Author - Harshal Shah //checking conditions on in if( isnan(in) | min(size(in))~=1) then error("IQImbalanceCompensator:improper input"); end //checking conditions on initial condition if ( length(ic)~=1 | isnan(ic)) then error("IQImbalanceCompensator:improper intial conditions"); end //checking condition on AdaptationStepSize if ( length(ss)~=1 | isnan(ss)) then error("IQImbalanceCompensator:improper AdaptationStepSize"); end w(1)=ic; for i =1:length(in) y(i)= in(i)+w(i)*conj(in(i)); w(i+1)= w(i)-ss*y(i)^2; end estcoef = w(1:length(in));
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function [] = %ZQuat_p(q) disp([q.r; q.i]); endfunction
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// Chapter 3 example 7 clc; clear; // Variable declaration xm = -4.2*10^-6; // magnetic susceptibility in A.m^-1 H = 1.15*10^5; // magnetic field in A.m^-1 // Calculations uo = 4*%pi*10^-7; // magnetic permeability N·A^-2 M = xm*H // magnetisation in A.m^-1 B = uo*(H + M) // flux density in T ur = 1+(M/H) // relative permeability // Output mprintf('Magnetisation = %3.2f A/m\n flux density = %g Tesla\n relative permeability = %g',M,B,ur);
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// exa 3.11 Pg 72 clc;clear;close; // Given Data N=200;// rpm P=25;// kW tau_d=42;// MPa W=900;// N L=3;// m Syt=56;// MPa Syc=56;// MPa sigma_d=56;// MPa T=P*60*10**3/(2*%pi*N);// N.m M=W*L/4;// N.m Te=sqrt(M**2+T**2);// N.m // Te=(%pi/16)*d**3*tau_d d=(Te*10**3/((%pi/16)*tau_d))**(1/3);// mm printf('\n shaft diameter(using equivalent torque)-\n d=%.f mm.',d) Me=(1/2)*(M+sqrt(M**2+T**2));//N.m // Me=(%pi/32)*d**3*sigma_d d=(Me*10**3/((%pi/32)*sigma_d))**(1/3);// mm printf('\n shaft diameter(using equivalent bending moment)-\n d=%.f mm.',d) printf('\n adopt d=57 mm.')
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// This file is released under the 3-clause BSD license. See COPYING-BSD. add_help_chapter("Utility functions",get_absolute_file_path("build_help.sce") + filesep() + "utility",%T); add_help_chapter("HW access functions",get_absolute_file_path("build_help.sce") + filesep() + "hw_access",%T); add_help_chapter("DSP managment",get_absolute_file_path("build_help.sce") + filesep() + "dsp_managment",%T); add_help_chapter("C/C++ code integration",get_absolute_file_path("build_help.sce") + filesep() + "code_integration",%T); add_help_chapter("Blocks",get_absolute_file_path("build_help.sce") + filesep() + "blocks",%T); tbx_build_help(TOOLBOX_TITLE,get_absolute_file_path("build_help.sce"));
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//interpolação polinomial de vandermonde clear close //Pontos Xi = [0,15,30,45,60,75,90]; Yi = [1.0000,0.9659,0.8660,0.7071,0.5000,0.2588,0.0000]'; //Matriz de Vandermonde: //length(x)= n pontos conhecidos (xi,yi) Xv=[];//matriz vandermonde pra receber as linhas Xl=[];//matriz de linhas for i=1:length(Xi) for j=1:length(Xi) Xl=[Xl,Xi(i)^(j-1)]; end Xv=[Xv;Xl]; Xl=[]; end //Para achar os coeficientes da equação x*a=y temos que I*a=(x^-1)*y a=inv(Xv)*Yi; //O polinômio único que queremos interpolar é: //Pn(x)=a0+a1*x^0+a2x^2+a3x^3+a4x^4+...+an*x^n function z=f(t) z=0; for k=1:length(Xi); z=z+a(k)*t^(k-1); end endfunction plot(Xi,Yi,"kx"); plot([0:1:100],f([0:1:100]),'r--')
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// Reset FPGA rw(reg.FPGA_RESET,1); sleep(1); // FPGA version v = rw(reg.VERSION); mprintf('FPGA version: %d\n',v); rw(reg.LED_MUX,1); rw(reg.DBG_MUX,1); // Reset MPU i2c_write(107,128); sleep(1); // MPU version v = i2c_read(117,1); mprintf('MPU version: %d\n',v); i2c_write(107,0); // get MPU out of sleep sleep(1); i2c_write(26,1); // Filter ON (=> Fs=1kHz) i2c_write(107,1); // clk = gyro i2c_write(56,1); // enable interrupt // Give I2C control to FPGA rw(reg.I2C_HOST_CTRL,0);
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function J = ann_FF_Jacobian(x,N,W,dx,af) // This file is part of: // ANN Toolbox for Scilab 5.x // Copyright (C) Ryurick M. Hristev // updated by Allan CORNET INRIA, May 2008 // released under GNU Public licence version 2 // calculates the Jacobian using a finite differences procedure [lsh,rsh] = argn(0); // optional parameters if rsh < 5, af = "ann_log_activ", end; // required for ann_FF_run l = [2,size(N,'c')]; // no. of patterns P = size(x,'c'); // initialize J J = hypermat([N(size(N,'c')), N(1), P]); // for each pattern for p = 1 : P // for each input for i = 1 : N(1) temp = x(i,p); x(i,p) = temp + dx; y_p = ann_FF_run(x(:,p), N, W, l, af); x(i,p) = temp - dx; y_n = ann_FF_run(x(:,p), N, W, l, af); J(:,i,p) = (y_p - y_n) / (2 * dx); end; end; endfunction
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////////////////////////////// 1 /////////////////////////////// // Open loop transfer function s=poly( 0 ,'s') num = 1 ; den = s*(s+2)*(s+4)*(s+5); g1 = syslin( 'c' ,num/den ) // syslin is for linear system definition // Closed loop transfer function g2 = g1/(1+g1) t =0 : 0.1 : 500 y=csim( 'step',t, g2 ) // simulation ( step response ) of linear system f0=scf(0) ; // create figure with id==0 and make it the current one plot2d(t,y) // plotting step response ////////////////////////////// 2 /////////////////////////////// f1=scf(1) ; evans(g1) ; // plot the root locus ////////////////////////////// 3 /////////////////////////////// // Calculation of zeta pi = 3.1 4 ; OS = 10 ; zeta = -log(OS/100)/(pi^2 +(log(OS/100) )^2 )^0.5 ; // Iso-over shootline f2=scf(2) ; evans( g1 ) ; sgrid ( zeta , 2 ) // the value 2 corresponds to omega_n . // Just to meet the overshoot specification omega_n is not crucial . ////////////////////////////// 4 /////////////////////////////// // P controller K = 25.38 // Closed loop step response CL1 = K*g1/(1+K*g1 ) gs1=csim ( 'step' , t ,CL1 ) ; f3=scf( 3 ) ; plot2d ( t , gs1 ) ; ////////////////////////////// 5 /////////////////////////////// // Specifications OS = 10 ; Ts = 5.5 ; // for OS = 10 , zeta was already calculated // Calculation of omega_n omega_n = (4/Ts )/zeta // Plot the root locus with iso-zeta and iso-omega_n lines f4=scf(4) ; evans( g1 ) sgrid( zeta , omega n ) // Dominant pole locations sigma = zeta*omega_n omega_d = omega_n*( sqrt(1-zeta^2) ) dompole = complex(-sigma , omega_d ) // Original poles of the system p1 = complex ( 0 , 0 ) ; p2 = complex ( -2 ,0) ; p3 = complex ( -4 ,0) ; p4 = complex ( -5 ,0) ; // Angle subtended by e x i s t i n g po l e s : theta1 = phasemag ( dom_pole-p1 ) ; theta2 = phasemag ( dom_pole-p2 ) ; theta3 = phasemag ( dom_pole-p3 ) ; theta4 = phasemag ( dom_pole-p4 ) ; angle_sum = (-theta1-theta2-theta3-theta4 ) // To satisfy the angle criterion a zero needs to be added theta0 = 180 - angle_sum ; // Calculating the location of the zero z1 = (omega_d/ tan(theta0*pi/180) ) + sigma // zero with sign . . . z1 = -z1 // Calculating the gain to satisfy the gain criterion Kd = abs( ( ( dom_pole-p1 )*( dom_pole-p2 )*( dom_pole-p3 )*( dom_pole-p4 ) )/( dom_pole-z1 ) ) ////////////////////////////// 6 /////////////////////////////// // Open loop transfer function with PD controller n = Kd*( s-z1 ) ; // PD controller g3 =syslin( 'c' , n/den ) // define t f // Plot the step response of the closed loop system with PD controller CL2 = g3/(1+g3 ) gs2 = csim ( 'step' , t ,CL2 ) ; f5 = scf( 5 ) ; plot2d ( t , gs2 ) ////////////////////////////// 7 /////////////////////////////// // Plot the ramp response of the closed loop system with PD controller t1 = 0 : 1 : 10000 gs3 = csim( t1 , t1 ,CL2) f5 = scf( 5 ) ; plot2d ( t1 , gs3 ) ; // Plot the error f7=scf ( 7 ) ; plot2d ( t1 , gs3-t1 ) ; // PID Controller : z2 = -0.001; // Open loop transfer function with PID controller n1 = Kd*( s-z1 )*( s-z2 ) ; d1 = s*den ; g4 =syslin ( 'c' , n1/d1 ) // Closed loop transfer function with PID controller CL3 = g4/(1+g4 ) gs4=csim( t1 , t1 ,CL3 ) ; gs5=csim ( 'step' , t ,CL3 ) ; f8=scf ( 8 ) ; plot2d ( t1 , gs4 ) //ramp response f9=scf( 9 ) plot2d ( t , gs5 ) ; // step response f10=scf (10) plot2d ( t1 , gs4-t1 ) ; // error plot
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clc //Initialization of variables prob=0.001 R=1 N=6.023*10^23 //calculations dS=1.987*2.303*log10(prob) /N //results printf("change in entropy = %.1e eu",dS)
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clear; clc; //Example2.16[Heat Conduction through a Spherical Shell] //Given:- r1=0.08;//Inner Radius[m] r2=0.1;//Outer radius[m] k=45;//Thermal conductivity[W/m.degree Celcius] T1=200;//Temperature of inner surface[degree Celcius] T2=80;//Temperarure of outer surface[degree Celcius] //Solution:- //Integrating the differential equation twicw we get T(r)=-C1/r+C2, where C1=r1*r2*(T1-T2)/(r2-r1); C2=((r2*T2)-(r1*T1))/(r2-r1); Q_sphere=4*%pi*k*r1*r2*(T1-T2)/(r2-r1); disp("kW",Q_sphere/1000,"The rate of heat conduction through the container wall is")
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// Examle 16.14 V=480; Ia=110; // Armature currernt Ra=0.2; // Armature resistance a=6; // No.Of paraller path p=6; // No.Of poles Q=0.05; // Megnetic flux per pole z=864; // Impedence Eb=V-(Ia*Ra); // Generated emf (Eb) disp('Generated emf (Eb) = '+string(Eb)+' Volt'); N=(60*a*Eb)/(Q*z*p); // Speed of the moter disp(' Speed of the moter = '+string(round(N))+' rms'); // ==> Using Formula { td= Qz/2TT x(p/A) xIa } x=(Q*z)/(2*%pi); // for simlicity td=(p/a)*Ia*(x); // Total Torque (Td) disp(' Total Torque (Td) = '+string (round(td))+' Nm'); // p 650 16.14
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//check o/p when i/p is negative power v=1e-3; u=db(-v,'power'); disp(u); //output // !--error 10000 //Power cannot be negative //at line 58 of function db called by : //u=db(-v,'power');
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exec VideoReader.sci exec has_frame.sci exec readframe.sci myVideo = VideoReader('vid2.mp4'); disp(myVideo) while hasFrame() stacksize('max') F = readFrame(); length_out = size(F); for i = 1 : length_out N(:, :, i) = F(i); end J_list = detecting(N); imshow(J_list); end close()
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Scope Snipe.sce
Name=Scope Snipe PlayerCharacters=player_char BotCharacters=scope.rot IsChallenge=true Timelimit=60.0 PlayerProfile=player_char AddedBots=scope.rot;scope.rot PlayerMaxLives=0 BotMaxLives=0;0 PlayerTeam=1 BotTeams=2;2 MapName=scope_snipe.map MapScale=10.0 BlockProjectilePredictors=true BlockCheats=true InvinciblePlayer=true InvincibleBots=false Timescale=1.0 BlockHealthbars=false TimeRefilledByKill=0.0 ScoreToWin=0.0 ScorePerDamage=5.0 ScorePerKill=10.0 ScorePerMidairDirect=0.0 ScorePerAnyDirect=0.0 ScorePerTime=0.0 ScoreLossPerDamageTaken=0.0 ScoreLossPerDeath=0.0 ScoreLossPerMidairDirected=0.0 ScoreLossPerAnyDirected=0.0 ScoreMultAccuracy=true ScoreMultDamageEfficiency=false ScoreMultKillEfficiency=false GameTag=Scope Snipe WeaponHeroTag=Sniper Rifle DifficultyTag=3 AuthorsTag=NFNT BlockHitMarkers=false BlockHitSounds=false BlockMissSounds=false BlockFCT=true Description=Stand, walk, run Sniping targets of various speeds GameVersion=2.0.0.2 ScorePerDistance=0.0 MBSEnable=false MBSTime1=0.25 MBSTime2=0.5 MBSTime3=0.75 MBSTime1Mult=1.0 MBSTime2Mult=2.0 MBSTime3Mult=3.0 MBSFBInstead=false MBSRequireEnemyAlive=false [Aim Profile] Name=Default MinReactionTime=0.3 MaxReactionTime=0.4 MinSelfMovementCorrectionTime=0.001 MaxSelfMovementCorrectionTime=0.05 FlickFOV=30.0 FlickSpeed=1.5 FlickError=15.0 TrackSpeed=3.5 TrackError=3.5 MaxTurnAngleFromPadCenter=75.0 MinRecenterTime=0.3 MaxRecenterTime=0.5 OptimalAimFOV=30.0 OuterAimPenalty=1.0 MaxError=40.0 ShootFOV=15.0 VerticalAimOffset=0.0 MaxTolerableSpread=5.0 MinTolerableSpread=1.0 TolerableSpreadDist=2000.0 MaxSpreadDistFactor=2.0 AimingStyle=Original ScanSpeedMultiplier=1.0 MaxSeekPitch=30.0 MaxSeekYaw=30.0 AimingSpeed=5.0 MinShootDelay=0.3 MaxShootDelay=0.6 [Bot Profile] Name=scope_walk DodgeProfileNames=scope_dodge DodgeProfileWeights=1.0 DodgeProfileMaxChangeTime=5.0 DodgeProfileMinChangeTime=1.0 WeaponProfileWeights=1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0 AimingProfileNames=Default;Default;Default;Default;Default;Default;Default;Default WeaponSwitchTime=3.0 UseWeapons=false CharacterProfile=scope_char_walk SeeThroughWalls=false NoDodging=false NoAiming=false AbilityUseTimer=0.1 UseAbilityFrequency=1.0 UseAbilityFreqMinTime=0.3 UseAbilityFreqMaxTime=0.6 ShowLaser=false LaserRGB=X=1.000 Y=0.300 Z=0.000 LaserAlpha=1.0 [Bot Profile] Name=scope_run DodgeProfileNames=scope_dodge DodgeProfileWeights=1.0 DodgeProfileMaxChangeTime=5.0 DodgeProfileMinChangeTime=1.0 WeaponProfileWeights=1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0 AimingProfileNames=Default;Default;Default;Default;Default;Default;Default;Default WeaponSwitchTime=3.0 UseWeapons=false CharacterProfile=scope_char_run SeeThroughWalls=false NoDodging=false NoAiming=false AbilityUseTimer=0.1 UseAbilityFrequency=1.0 UseAbilityFreqMinTime=0.3 UseAbilityFreqMaxTime=0.6 ShowLaser=false LaserRGB=X=1.000 Y=0.300 Z=0.000 LaserAlpha=1.0 [Bot Profile] Name=scope_stand DodgeProfileNames=scope_dodge DodgeProfileWeights=1.0 DodgeProfileMaxChangeTime=5.0 DodgeProfileMinChangeTime=1.0 WeaponProfileWeights=1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0 AimingProfileNames=Default;Default;Default;Default;Default;Default;Default;Default WeaponSwitchTime=3.0 UseWeapons=false CharacterProfile=scope_char_stand SeeThroughWalls=false NoDodging=false NoAiming=false AbilityUseTimer=0.1 UseAbilityFrequency=1.0 UseAbilityFreqMinTime=0.3 UseAbilityFreqMaxTime=0.6 ShowLaser=false LaserRGB=X=1.000 Y=0.300 Z=0.000 LaserAlpha=1.0 [Bot Rotation Profile] Name=scope ProfileNames=scope_walk;scope_run;scope_stand ProfileWeights=1.0;1.0;1.0 Randomized=false [Character Profile] Name=player_char MaxHealth=100.0 WeaponProfileNames=SNIPER;;;;;;; MinRespawnDelay=1.0 MaxRespawnDelay=5.0 StepUpHeight=75.0 CrouchHeightModifier=0.5 CrouchAnimationSpeed=1.0 CameraOffset=X=0.000 Y=0.000 Z=0.000 HeadshotOnly=false DamageKnockbackFactor=8.0 MovementType=Base MaxSpeed=0.0 MaxCrouchSpeed=500.0 Acceleration=16000.0 AirAcceleration=16000.0 Friction=8.0 BrakingFrictionFactor=2.0 JumpVelocity=800.0 Gravity=0.0 AirControl=0.25 CanCrouch=true CanPogoJump=false CanCrouchInAir=false CanJumpFromCrouch=false EnemyBodyColor=X=255.000 Y=0.000 Z=0.000 EnemyHeadColor=X=255.000 Y=255.000 Z=255.000 TeamBodyColor=X=0.000 Y=0.000 Z=255.000 TeamHeadColor=X=255.000 Y=255.000 Z=255.000 BlockSelfDamage=false InvinciblePlayer=false InvincibleBots=false BlockTeamDamage=false AirJumpCount=0 AirJumpVelocity=800.0 MainBBType=Cylindrical MainBBHeight=230.0 MainBBRadius=55.0 MainBBHasHead=true MainBBHeadRadius=45.0 MainBBHeadOffset=0.0 MainBBHide=true ProjBBType=Cylindrical ProjBBHeight=230.0 ProjBBRadius=55.0 ProjBBHasHead=true ProjBBHeadRadius=45.0 ProjBBHeadOffset=0.0 ProjBBHide=true HasJetpack=false JetpackActivationDelay=0.2 JetpackFullFuelTime=4.0 JetpackFuelIncPerSec=1.0 JetpackFuelRegensInAir=false JetpackThrust=6000.0 JetpackMaxZVelocity=400.0 JetpackAirControlWithThrust=0.25 AbilityProfileNames=;;; HideWeapon=true AerialFriction=0.0 StrafeSpeedMult=1.0 BackSpeedMult=1.0 RespawnInvulnTime=0.0 BlockedSpawnRadius=0.0 BlockSpawnFOV=0.0 BlockSpawnDistance=0.0 RespawnAnimationDuration=0.5 AllowBufferedJumps=true BounceOffWalls=false LeanAngle=0.0 LeanDisplacement=0.0 AirJumpExtraControl=0.0 ForwardSpeedBias=1.0 HealthRegainedonkill=0.0 HealthRegenPerSec=0.0 HealthRegenDelay=0.0 JumpSpeedPenaltyDuration=0.0 JumpSpeedPenaltyPercent=0.25 ThirdPersonCamera=false TPSArmLength=300.0 TPSOffset=X=0.000 Y=150.000 Z=150.000 BrakingDeceleration=2048.0 VerticalSpawnOffset=0.0 TerminalVelocity=0.0 CharacterModel=None CharacterSkin=Default SpawnXOffset=0.0 SpawnYOffset=0.0 InvertBlockedSpawn=false ViewBobTime=0.0 ViewBobAngleAdjustment=0.0 ViewBobCameraZOffset=0.0 ViewBobAffectsShots=false IsFlyer=false FlightObeysPitch=false FlightVelocityUp=800.0 FlightVelocityDown=800.0 [Character Profile] Name=scope_char_walk MaxHealth=5.0 WeaponProfileNames=;;;;;;; MinRespawnDelay=0.1 MaxRespawnDelay=0.1 StepUpHeight=75.0 CrouchHeightModifier=0.5 CrouchAnimationSpeed=1.0 CameraOffset=X=0.000 Y=0.000 Z=0.000 HeadshotOnly=false DamageKnockbackFactor=8.0 MovementType=Base MaxSpeed=300.0 MaxCrouchSpeed=500.0 Acceleration=16000.0 AirAcceleration=16000.0 Friction=8.0 BrakingFrictionFactor=2.0 JumpVelocity=800.0 Gravity=0.0 AirControl=0.25 CanCrouch=false CanPogoJump=false CanCrouchInAir=false CanJumpFromCrouch=false EnemyBodyColor=X=255.000 Y=0.000 Z=0.000 EnemyHeadColor=X=255.000 Y=255.000 Z=255.000 TeamBodyColor=X=0.000 Y=0.000 Z=255.000 TeamHeadColor=X=255.000 Y=255.000 Z=255.000 BlockSelfDamage=false InvinciblePlayer=false InvincibleBots=false BlockTeamDamage=false AirJumpCount=0 AirJumpVelocity=800.0 MainBBType=Spheroid MainBBHeight=230.0 MainBBRadius=55.0 MainBBHasHead=false MainBBHeadRadius=45.0 MainBBHeadOffset=0.0 MainBBHide=true ProjBBType=Spheroid ProjBBHeight=230.0 ProjBBRadius=55.0 ProjBBHasHead=false ProjBBHeadRadius=45.0 ProjBBHeadOffset=0.0 ProjBBHide=true HasJetpack=false JetpackActivationDelay=0.2 JetpackFullFuelTime=4.0 JetpackFuelIncPerSec=1.0 JetpackFuelRegensInAir=false JetpackThrust=6000.0 JetpackMaxZVelocity=400.0 JetpackAirControlWithThrust=0.25 AbilityProfileNames=;;; HideWeapon=true AerialFriction=0.0 StrafeSpeedMult=1.0 BackSpeedMult=1.0 RespawnInvulnTime=0.0 BlockedSpawnRadius=0.0 BlockSpawnFOV=0.0 BlockSpawnDistance=0.0 RespawnAnimationDuration=0.0 AllowBufferedJumps=false BounceOffWalls=false LeanAngle=0.0 LeanDisplacement=0.0 AirJumpExtraControl=0.0 ForwardSpeedBias=0.1 HealthRegainedonkill=0.0 HealthRegenPerSec=0.0 HealthRegenDelay=0.0 JumpSpeedPenaltyDuration=0.0 JumpSpeedPenaltyPercent=0.25 ThirdPersonCamera=false TPSArmLength=300.0 TPSOffset=X=0.000 Y=150.000 Z=150.000 BrakingDeceleration=2048.0 VerticalSpawnOffset=0.0 TerminalVelocity=0.0 CharacterModel=None CharacterSkin=Default SpawnXOffset=0.0 SpawnYOffset=0.0 InvertBlockedSpawn=false ViewBobTime=0.0 ViewBobAngleAdjustment=0.0 ViewBobCameraZOffset=0.0 ViewBobAffectsShots=false IsFlyer=false FlightObeysPitch=false FlightVelocityUp=800.0 FlightVelocityDown=800.0 [Character Profile] Name=scope_char_run MaxHealth=5.0 WeaponProfileNames=;;;;;;; MinRespawnDelay=0.1 MaxRespawnDelay=0.1 StepUpHeight=75.0 CrouchHeightModifier=0.5 CrouchAnimationSpeed=1.0 CameraOffset=X=0.000 Y=0.000 Z=0.000 HeadshotOnly=false DamageKnockbackFactor=8.0 MovementType=Base MaxSpeed=600.0 MaxCrouchSpeed=500.0 Acceleration=16000.0 AirAcceleration=16000.0 Friction=8.0 BrakingFrictionFactor=2.0 JumpVelocity=800.0 Gravity=0.0 AirControl=0.25 CanCrouch=false CanPogoJump=false CanCrouchInAir=false CanJumpFromCrouch=false EnemyBodyColor=X=255.000 Y=0.000 Z=0.000 EnemyHeadColor=X=255.000 Y=255.000 Z=255.000 TeamBodyColor=X=0.000 Y=0.000 Z=255.000 TeamHeadColor=X=255.000 Y=255.000 Z=255.000 BlockSelfDamage=false InvinciblePlayer=false InvincibleBots=false BlockTeamDamage=false AirJumpCount=0 AirJumpVelocity=800.0 MainBBType=Spheroid MainBBHeight=230.0 MainBBRadius=55.0 MainBBHasHead=false MainBBHeadRadius=45.0 MainBBHeadOffset=0.0 MainBBHide=true ProjBBType=Spheroid ProjBBHeight=230.0 ProjBBRadius=55.0 ProjBBHasHead=false ProjBBHeadRadius=45.0 ProjBBHeadOffset=0.0 ProjBBHide=true HasJetpack=false JetpackActivationDelay=0.2 JetpackFullFuelTime=4.0 JetpackFuelIncPerSec=1.0 JetpackFuelRegensInAir=false JetpackThrust=6000.0 JetpackMaxZVelocity=400.0 JetpackAirControlWithThrust=0.25 AbilityProfileNames=;;; HideWeapon=true AerialFriction=0.0 StrafeSpeedMult=1.0 BackSpeedMult=1.0 RespawnInvulnTime=0.0 BlockedSpawnRadius=0.0 BlockSpawnFOV=0.0 BlockSpawnDistance=0.0 RespawnAnimationDuration=0.0 AllowBufferedJumps=false BounceOffWalls=false LeanAngle=0.0 LeanDisplacement=0.0 AirJumpExtraControl=0.0 ForwardSpeedBias=0.1 HealthRegainedonkill=0.0 HealthRegenPerSec=0.0 HealthRegenDelay=0.0 JumpSpeedPenaltyDuration=0.0 JumpSpeedPenaltyPercent=0.25 ThirdPersonCamera=false TPSArmLength=300.0 TPSOffset=X=0.000 Y=150.000 Z=150.000 BrakingDeceleration=2048.0 VerticalSpawnOffset=0.0 TerminalVelocity=0.0 CharacterModel=None CharacterSkin=Default SpawnXOffset=0.0 SpawnYOffset=0.0 InvertBlockedSpawn=false ViewBobTime=0.0 ViewBobAngleAdjustment=0.0 ViewBobCameraZOffset=0.0 ViewBobAffectsShots=false IsFlyer=false FlightObeysPitch=false FlightVelocityUp=800.0 FlightVelocityDown=800.0 [Character Profile] Name=scope_char_stand MaxHealth=5.0 WeaponProfileNames=;;;;;;; MinRespawnDelay=0.1 MaxRespawnDelay=0.1 StepUpHeight=75.0 CrouchHeightModifier=0.5 CrouchAnimationSpeed=1.0 CameraOffset=X=0.000 Y=0.000 Z=0.000 HeadshotOnly=false DamageKnockbackFactor=8.0 MovementType=Base MaxSpeed=0.0 MaxCrouchSpeed=500.0 Acceleration=16000.0 AirAcceleration=16000.0 Friction=8.0 BrakingFrictionFactor=2.0 JumpVelocity=800.0 Gravity=0.0 AirControl=0.25 CanCrouch=false CanPogoJump=false CanCrouchInAir=false CanJumpFromCrouch=false EnemyBodyColor=X=255.000 Y=0.000 Z=0.000 EnemyHeadColor=X=255.000 Y=255.000 Z=255.000 TeamBodyColor=X=0.000 Y=0.000 Z=255.000 TeamHeadColor=X=255.000 Y=255.000 Z=255.000 BlockSelfDamage=false InvinciblePlayer=false InvincibleBots=false BlockTeamDamage=false AirJumpCount=0 AirJumpVelocity=800.0 MainBBType=Spheroid MainBBHeight=230.0 MainBBRadius=55.0 MainBBHasHead=false MainBBHeadRadius=45.0 MainBBHeadOffset=0.0 MainBBHide=true ProjBBType=Spheroid ProjBBHeight=230.0 ProjBBRadius=55.0 ProjBBHasHead=false ProjBBHeadRadius=45.0 ProjBBHeadOffset=0.0 ProjBBHide=true HasJetpack=false JetpackActivationDelay=0.2 JetpackFullFuelTime=4.0 JetpackFuelIncPerSec=1.0 JetpackFuelRegensInAir=false JetpackThrust=6000.0 JetpackMaxZVelocity=400.0 JetpackAirControlWithThrust=0.25 AbilityProfileNames=;;; HideWeapon=true AerialFriction=0.0 StrafeSpeedMult=1.0 BackSpeedMult=1.0 RespawnInvulnTime=0.0 BlockedSpawnRadius=0.0 BlockSpawnFOV=0.0 BlockSpawnDistance=0.0 RespawnAnimationDuration=0.0 AllowBufferedJumps=false BounceOffWalls=false LeanAngle=0.0 LeanDisplacement=0.0 AirJumpExtraControl=0.0 ForwardSpeedBias=0.1 HealthRegainedonkill=0.0 HealthRegenPerSec=0.0 HealthRegenDelay=0.0 JumpSpeedPenaltyDuration=0.0 JumpSpeedPenaltyPercent=0.25 ThirdPersonCamera=false TPSArmLength=300.0 TPSOffset=X=0.000 Y=150.000 Z=150.000 BrakingDeceleration=2048.0 VerticalSpawnOffset=0.0 TerminalVelocity=0.0 CharacterModel=None CharacterSkin=Default SpawnXOffset=0.0 SpawnYOffset=0.0 InvertBlockedSpawn=false ViewBobTime=0.0 ViewBobAngleAdjustment=0.0 ViewBobCameraZOffset=0.0 ViewBobAffectsShots=false IsFlyer=false FlightObeysPitch=false FlightVelocityUp=800.0 FlightVelocityDown=800.0 [Dodge Profile] Name=scope_dodge MaxTargetDistance=2500.0 MinTargetDistance=750.0 ToggleLeftRight=true ToggleForwardBack=false MinLRTimeChange=10.0 MaxLRTimeChange=10.0 MinFBTimeChange=0.2 MaxFBTimeChange=0.5 DamageReactionChangesDirection=false DamageReactionChanceToIgnore=0.5 DamageReactionMinimumDelay=0.125 DamageReactionMaximumDelay=0.25 DamageReactionCooldown=1.0 DamageReactionThreshold=0.0 DamageReactionResetTimer=0.1 JumpFrequency=0.02 CrouchInAirFrequency=0.0 CrouchOnGroundFrequency=0.0 TargetStrafeOverride=Ignore TargetStrafeMinDelay=0.125 TargetStrafeMaxDelay=0.25 MinProfileChangeTime=0.0 MaxProfileChangeTime=0.0 MinCrouchTime=0.3 MaxCrouchTime=0.6 MinJumpTime=0.3 MaxJumpTime=0.6 LeftStrafeTimeMult=1.0 RightStrafeTimeMult=1.0 StrafeSwapMinPause=0.0 StrafeSwapMaxPause=0.25 BlockedMovementPercent=0.5 BlockedMovementReactionMin=0.125 BlockedMovementReactionMax=0.2 WaypointLogic=Ignore WaypointTurnRate=200.0 MinTimeBeforeShot=0.15 MaxTimeBeforeShot=0.25 IgnoreShotChance=0.0 [Weapon Profile] Name=SNIPER Type=Hitscan ShotsPerClick=1 DamagePerShot=5.0 KnockbackFactor=0.0 TimeBetweenShots=0.01 Pierces=false Category=SemiAuto BurstShotCount=1 TimeBetweenBursts=0.5 ChargeStartDamage=10.0 ChargeStartVelocity=X=500.000 Y=0.000 Z=0.000 ChargeTimeToAutoRelease=2.0 ChargeTimeToCap=1.0 ChargeMoveSpeedModifier=1.0 MuzzleVelocityMin=X=2000.000 Y=0.000 Z=0.000 MuzzleVelocityMax=X=2000.000 Y=0.000 Z=0.000 InheritOwnerVelocity=0.0 OriginOffset=X=0.000 Y=0.000 Z=0.000 MaxTravelTime=5.0 MaxHitscanRange=100000.0 GravityScale=1.0 HeadshotCapable=false HeadshotMultiplier=2.0 MagazineMax=0 AmmoPerShot=1 ReloadTimeFromEmpty=0.1 ReloadTimeFromPartial=0.1 DamageFalloffStartDistance=100000.0 DamageFalloffStopDistance=100000.0 DamageAtMaxRange=25.0 DelayBeforeShot=0.0 ProjectileGraphic=Ball VisualLifetime=0.1 BounceOffWorld=false BounceFactor=0.5 BounceCount=0 HomingProjectileAcceleration=0.0 ProjectileEnemyHitRadius=1.0 CanAimDownSight=true ADSZoomDelay=0.0 ADSZoomSensFactor=1.0 ADSMoveFactor=1.0 ADSStartDelay=0.0 ShootSoundCooldown=0.001 HitSoundCooldown=0.001 HitscanVisualOffset=X=0.000 Y=0.000 Z=-50.000 ADSBlocksShooting=false ShootingBlocksADS=false KnockbackFactorAir=0.0 RecoilNegatable=false DecalType=0 DecalSize=30.0 DelayAfterShooting=0.0 BeamTracksCrosshair=false AlsoShoot= ADSShoot=SNIPER StunDuration=0.0 CircularSpread=true SpreadStationaryVelocity=300.0 PassiveCharging=false BurstFullyAuto=true FlatKnockbackHorizontal=0.0 FlatKnockbackVertical=0.0 HitscanRadius=0.0 HitscanVisualRadius=6.0 TaggingDuration=0.0 TaggingMaxFactor=1.0 TaggingHitFactor=1.0 RecoilCrouchScale=1.0 RecoilADSScale=1.0 PSRCrouchScale=1.0 PSRADSScale=1.0 ProjectileAcceleration=0.0 AccelIncludeVertical=false AimPunchAmount=0.0 AimPunchResetTime=0.2 AimPunchCooldown=0.5 AimPunchHeadshotOnly=false AimPunchCosmeticOnly=false MinimumDecelVelocity=0.0 PSRManualNegation=false PSRAutoReset=true AimPunchUpTime=0.05 AmmoReloadedOnKill=0 CancelReloadOnKill=false FlatKnockbackHorizontalMin=0.0 FlatKnockbackVerticalMin=0.0 ADSScope=75 ADSFOVOverride=7.5 ADSFOVScale=Clamped Horizontal ADSAllowUserOverrideFOV=false IsBurstWeapon=false ForceFirstPersonInADS=true ZoomBlockedInAir=false ADSCameraOffsetX=0.0 ADSCameraOffsetY=0.0 ADSCameraOffsetZ=0.0 QuickSwitchTime=0.1 WeaponModel=Heavy Surge Rifle WeaponAnimation=Primary UseIncReload=false IncReloadStartupTime=0.1 IncReloadLoopTime=0.1 IncReloadAmmoPerLoop=1 IncReloadEndTime=0.1 IncReloadCancelWithShoot=true WeaponSkin=Default ProjectileVisualOffset=X=0.000 Y=0.000 Z=-50.000 SpreadDecayDelay=0.0 ReloadBeforeRecovery=true 3rdPersonWeaponModel=Pistol 3rdPersonWeaponSkin=Default ParticleMuzzleFlash= ParticleWallImpact= ParticleBodyImpact= ParticleProjectileTrail= ParticleHitscanTrace= ParticleMuzzleFlashScale=1.0 ParticleWallImpactScale=1.0 ParticleBodyImpactScale=1.0 ParticleProjectileTrailScale=1.0 Explosive=false Radius=500.0 DamageAtCenter=100.0 DamageAtEdge=100.0 SelfDamageMultiplier=0.5 ExplodesOnContactWithEnemy=false DelayAfterEnemyContact=0.0 ExplodesOnContactWithWorld=false DelayAfterWorldContact=0.0 ExplodesOnNextAttack=false DelayAfterSpawn=0.0 BlockedByWorld=false SpreadSSA=0.0,0.1,0.0,0.0 SpreadSCA=0.0,0.1,0.0,0.0 SpreadMSA=0.0,0.1,0.0,0.0 SpreadMCA=0.0,0.1,0.0,0.0 SpreadSSH=0.0,0.1,360.0,360.0 SpreadSCH=0.0,0.1,360.0,360.0 SpreadMSH=0.0,0.1,360.0,360.0 SpreadMCH=0.0,0.1,360.0,360.0 MaxRecoilUp=0.0 MinRecoilUp=0.0 MinRecoilHoriz=0.0 MaxRecoilHoriz=0.0 FirstShotRecoilMult=1.0 RecoilAutoReset=false TimeToRecoilPeak=0.05 TimeToRecoilReset=0.35 AAMode=0 AAPreferClosestPlayer=false AAAlpha=0.05 AAMaxSpeed=1.0 AADeadZone=0.0 AAFOV=30.0 AANeedsLOS=true TrackHorizontal=true TrackVertical=true AABlocksMouse=false AAOffTimer=0.0 AABackOnTimer=0.0 TriggerBotEnabled=false TriggerBotDelay=0.0 TriggerBotFOV=1.0 StickyLock=false HeadLock=false VerticalOffset=0.0 DisableLockOnKill=false UsePerShotRecoil=false PSRLoopStartIndex=0 PSRViewRecoilTracking=0.45 PSRCapUp=9.0 PSRCapRight=4.0 PSRCapLeft=4.0 PSRTimeToPeak=0.175 PSRResetDegreesPerSec=40.0 UsePerBulletSpread=false PBS0=0.0,0.0 [Map Data] reflex map version 8 global entity type WorldSpawn String32 targetGameOverCamera end UInt8 playersMin 1 UInt8 playersMax 16 brush vertices -256.000000 0.000000 168.000000 256.000000 0.000000 168.000000 256.000000 0.000000 -256.000000 -256.000000 0.000000 -256.000000 -256.000000 -16.000000 168.000000 256.000000 -16.000000 168.000000 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/tests/results/kar11.tst
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kar11.tst
argc:7 Dataset: ../datasets/converted/karate.net Nodes Edges Com Mod NMI Time seq async 34 156 2 0.421598 -1 5.5368e-05 par async 34 156 3 0.052022 -1 0.067596
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FOSSEE/Scilab-TBC-Uploads
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//Example No. 4_01 //Greatest precision //Pg No. 63 clear ; close ; clc ; a = '4.3201' b = '4.32' c = '4.320106' na = length(a)-strindex(a,'.') mprintf('\n %s has a precision of 10^-%i\n',a,na) nb = length(b)-strindex(b,'.') mprintf('\n %s has a precision of 10^-%i\n',b,nb) nc = length(c)-strindex(c,'.') mprintf('\n %s has a precision of 10^-%i\n',c,nc) [n,e] = max(na,nb,nc) if e ==1 then mprintf('\n The number with highest precision is %s\n',a) elseif e == 2 mprintf('\n The number with highest precision is %s\n',b) else mprintf('\n The number with highest precision is %s\n',c) end
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FOSSEE/Scilab-TBC-Uploads
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EX17.sce
// Example 5.17: (i) IC1 and IC2 // (ii) RC so that Vo = 6 V clc, clear bta=200; // From Fig. 5.31 disp("Part (i)"); I_ref=(12-0.7)/15; // in amperes I1=0.7/2.8; // in amperes IC=(I_ref-I1)*bta/(bta+2); // in mili-amperes disp(IC,"IC1 (mA) ="); disp(IC,"IC2 (mA) ="); disp("Part (ii)"); Vo=6; // in volts RC=(12-Vo)/IC; // in kilo-ohms disp(RC,"RC so that (Vo = 6 V) (kΩ) =");