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c0a934655016bc66ec9f22b89b3c53c2b6456fde | 449d555969bfd7befe906877abab098c6e63a0e8 | /1241/CH6/EX6.24/exa6_24.sce | 78f41d099a0f86e38b00afa4387156b2606fc8c2 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 1,338 | sce | exa6_24.sce | //Example 6-24//
//Solve multiple output equation using mapping//
clc
//clears the window//
clear
//clears all existing variables//
disp('f1=Sigma m(0,1,2,4,6,7,10,14,15)')
//First function is displayed//
disp('f2=Sigma m(3,4,5,9,10,11,14) ')
//Second function is displayed//
disp('f1.f2=Sigma m(4,10,14)')
//Taking the common entries//
disp('Mapping for f1.f2')
disp(' C''D'' C''D CD CD'' ')
disp('A''B'' 0 0 0 0 ')
disp('AB'' 1 0 0 0 ')
disp('AB 0 0 0 1 ')
disp('AB'' 0 0 0 1 ')
disp(' From the map, high outputs for 4,10,14')
//given logic equation//
a=[0 1 0 0;1 0 1 0;1 1 1 0]
disp(a)
for i=1: 3
if a(i,1)==1 then
b(i,1)='A'
else
b(i,1)='A'''
end
if a(i,2)==1 then
b(i,2)='B'
else
b(i,2)='B'''
end
if a(i,3)==1 then
b(i,3)='C'
else
b(i,3)='C'''
end
if a(i,4)==1 then
b(i,4)='D'
else
b(i,4)=' D'' '
end
end
disp(' evaluating expression from truth table and map ')
l=strcat([ b(1,1),b(1,2),b(1,3),b(1,4)])
m=strcat([ b(2,1),b(2,2),b(2,3),b(2,4)])
n=strcat([ b(3,1),b(3,2),b(3,3),b(3,4)])
x=strcat([l"+",m"+",n])
disp(x)
//Expression is displayed//
disp('now reducing expression using boolean algebra')
disp('ACD''+A''BC''D''')
|
a135582b9a2c063659e5e79c860d6822aca07826 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2219/CH5/EX5.4/Ex5_4.sce | 0b947675219161d3de3d369fdefde11a92a62e23 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 738 | sce | Ex5_4.sce | //chapter 5 example 4
//=============================================================================
clc;
clear;
//Given Data
Va = 40*10^3;//Anode voltage of cross field amplifier
Ia = 15;//Anode current in Amp
Pin = 40*10^3;//input power in watts
G = 10;//gain in dB
n = 40/100;//overall efficiency converted from percentage to decimal
//Calculations
//Gain = (1+(Pgen/Pin))
Pgen = (G-1)*Pin//Generated power
ne = (Pgen/(Va*Ia))//electronic efficiency
nc = n/(ne)//circuit efficiency
Pout = Pin+(Pgen*nc)//output power
//Output
mprintf('Electronic Efficiency is %3.2f\n Output power is %g KW',ne,Pout/1000);
//=============================================================================
|
fd38986d1ab888a8fab1a50de9b0b1910b9fad78 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2150/CH4/EX4.36/ex4_36.sce | 628f7e03f319046c403d46134ea454e864812a81 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 440 | sce | ex4_36.sce | // Exa 4.36
clc;
clear;
close;
// Given data
V_BB = 5;// in V
V_BE = 0.7;// in V
R_B = 680;// in kohm
R_B = 680*10^3;// in ohm
I_B = (V_BB-V_BE)/R_B;// in A
disp(I_B*10^6,"The base current in µA is : ")
beta_dc= 150;
I_C = beta_dc * I_B;// in A
disp(I_C*10^3,"The collector current in mA is");
V_CC = 5;// in V
R_C = 470;// in ohm
V_CE = V_CC-(I_C*R_C);// in V
disp(V_CE,"Voltage between collector and ground in V is ");
|
742c38c6b451d0e58d41cb225a26a4534d16d0ff | 1db0a7f58e484c067efa384b541cecee64d190ab | /macros/filternorm.sci | fec675537d22704ef5f695a421ee49f23cefd715 | [] | no_license | sonusharma55/Signal-Toolbox | 3eff678d177633ee8aadca7fb9782b8bd7c2f1ce | 89bfeffefc89137fe3c266d3a3e746a749bbc1e9 | refs/heads/master | 2020-03-22T21:37:22.593805 | 2018-07-12T12:35:54 | 2018-07-12T12:35:54 | 140,701,211 | 2 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 4,071 | sci | filternorm.sci | function L = filternorm(b,a,varargin)
// Calculates the L-2 norm or L-infinity norm of a digital filter
//
// Calling Sequence
// L = filternorm(b,a)
// L = filternorm(b,a,pnorm)
// L = filternorm(b,a,2,tol)
//
//
// Parameters
// b: The filter numerator coefficients.
// a: The filter denominator coefficients.
// pnorm: The L-norm to be calculated. The values accepted are 2 (L2 norm) or %inf (L-infinity norm). Default value is 2.
// tol: The tolerance of the L-2 norm to be calculated. If tol not specified, it defaults to 10^(-8). tol must be a positive scalar
//
//
// Examples
// // 1) L-2 norm of an IIR filter with tol = 10^(-10)
// b = [-3 2];
// a = [1 -0.5];
// L = filternorm(b, a, 2, 10d-10);
//
//
// See also
// norm
// zp2sos
//
// Authors
// Ayush Baid
exec('impz.sci', -1);
// ** Check on number of input, output arguments
[numOutArgs, numInArgs] = argn(0);
if numInArgs<2 | numInArgs>4 then
msg = "filternorm: Wrong number of input argument; 2-4 expected";
error(77,msg);
end
if numOutArgs~=1 then
msg = "filternorm: Wrong number of output argument; 1 expected";
error(78,msg);
end
// ** Check on b and a **
if isempty(a) then
a = 1;
end
if isempty(b) then
b = 1;
end
b = b(:);
a = a(:);
// check on datatype
if type(b)~=1 & type(b)~=8 then
msg = "filternorm: Wrong type for argument #1 (b): Real or complex matrix expected";
error(53,msg);
end
if type(a)~=1 & type(a)~=8 then
msg = "filternorm: Wrong type for argument #2 (a): Real or complex matrix expected";
error(53,msg);
end
// check on dimensions
if size(b,1)==1 then
b = b(:);
end
if size(a,1)==1 then
a = a(:);
end
if size(b,2)~=size(a,2) then
msg = "filternorm: Wrong size for arguments #1 (b) and #2(a): Same number of columns expected";
error(60,msg);
end
// ** Parsing the remaining arguments **
if length(varargin)==1 & ~isempty(varargin) then
pnorm = varargin(1);
tol = 1e-8;
elseif length(varargin)==2 then
pnorm = varargin(1);
tol = varargin(2);
if tol<=0 | length(tol)~=1 then
msg = "filternorm: Wrong value for argument #4 (tol): Must be a positive real scalar";
error(116,msg);
end
else
pnorm = 2;
tol = 1e-8;
end
if pnorm~=2 & length(varargin)==2 then
msg = "filternorm: Warning - Wrong value for argument #3 (pnorm): Must be 2 when tolerance is used";
end
// ** Calculations **
if isinf(pnorm) then
// We need to compute the frequency response and then get the one
// with the highest magnitude
h = frmag(b, a, 1024);
L = max(h);
else
if size(a,1) == 1 then
// the filter is FIR; impluse response is the filter coeffs
L = norm(b,pnorm)/a;
else
// the filter is IIR
// Checking for stability, as we wont be able to calc impulse response
// within a given tolerance.
pole_mag = abs(roots(a));
// stability check
max_dist = max(pole_mag);
if max_dist>=1 then
// poles lie on the unit circle or outside it. We do not have a
// decaying impulse response and hence truncation is not advisable
msg = "filternorm: Non convergent impulse response. All poles should lie inside the unit circle";
error(msg);
end
// ****
// Theory: (assuming stable filter)
// Each pole will contribute a decaying exponential. The pole with
// the highest magnitude will decay the slowest (i.e. will be the most
// dominant). Therefore, we will work with pole(s) having the largest
// magnitude to obtain a bound on the L2 norm of the tail.
// ****
// get the multiplicity of the largest pole
mult = sum(pole_mag>(max_dist-1e-5) & pole_mag<(max_dist+1e-5));
// Using integration of a^(-x) to get a bound
N = mult*log(tol)/log(max_dist);
// TODO: get filter coeffs using impzlength from octave
[h, temp1] = impz(b,a);
L = norm(h,2);
end
end
endfunction
|
04b5b78259fc18d7a646f76dbe9e9046696b0f1c | 449d555969bfd7befe906877abab098c6e63a0e8 | /2774/CH5/EX5.8/Ex5_8.sce | b3310d7e957c79e125dfea89eb23d78adc34b794 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 793 | sce | Ex5_8.sce | clc
// initialization of variables
T1=20+273 // initial temperature in kelvin
P1=200 // pressure in kPa
V=2 //volume in m^3
R=0.287 // gas constant for air
W=-720 // negative as work is done on air in kJ
//solution
m=(P1*V)/(R*T1)// mass of air
u1=209.1 //specific internal energy of air at 293K and 200 kPa from table E.1
s1=1.678 // by interpolation from table E.1
// change in internal energy= work done
u2=-(W/m)+u1 // final internal energy
T2=501.2// final temperature interpolated from table E.1 corresponding to value of u2
s2=2.222 // value of s from table E.3 by interpolating from corresponding to value of u2
P2=P1*(T2/T1) // final pressure in kPa
delS=m*(s2-s1-R*log(P2/P1))// entropy change
printf(" The Entropy increase is %.3f kJ/K ",delS)
|
6e67a4deedf75bc50a0d5c92cb91950bd9d49f97 | c565d26060d56f516d954d4b378b8699c31a71ef | /Vikas_self/codes/ConventionalTuning_Vikas/PIDControllersetpointchange/pidtuned40to45.sce | 0a8b902c2547a47c44441df6bf95be3d8ea5681c | [] | no_license | rupakrokade/sbhs-manual | 26d6e458c5d6aaba858c3cb2d07ff646d90645ce | 5aad4829d5ba1cdf9cc62d72f794fab2b56dd786 | refs/heads/master | 2021-01-23T06:25:53.904684 | 2015-10-24T11:57:04 | 2015-10-24T11:57:04 | 5,258,478 | 0 | 0 | null | 2012-11-16T11:45:07 | 2012-08-01T11:36:17 | Scilab | UTF-8 | Scilab | false | false | 21,510 | sce | pidtuned40to45.sce | 0.100E+00 0.000E+00 0.390E+02 0.320E+02
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0.444E+03 0.334E+02 0.390E+02 0.360E+01
0.445E+03 0.334E+02 0.390E+02 0.360E+01
0.446E+03 0.333E+02 0.390E+02 0.360E+01
0.447E+03 0.333E+02 0.390E+02 0.370E+01
0.448E+03 0.333E+02 0.390E+02 0.370E+01
0.449E+03 0.333E+02 0.390E+02 0.370E+01
0.450E+03 0.333E+02 0.390E+02 0.370E+01
0.451E+03 0.334E+02 0.390E+02 0.370E+01
0.452E+03 0.334E+02 0.364E+02 0.360E+01
0.453E+03 0.334E+02 0.390E+02 0.360E+01
0.454E+03 0.336E+02 0.390E+02 0.360E+01
0.455E+03 0.337E+02 0.254E+02 0.340E+01
0.456E+03 0.336E+02 0.379E+02 0.330E+01
0.457E+03 0.337E+02 0.390E+02 0.340E+01
0.458E+03 0.337E+02 0.278E+02 0.330E+01
0.459E+03 0.337E+02 0.390E+02 0.330E+01
0.460E+03 0.337E+02 0.390E+02 0.330E+01
0.461E+03 0.337E+02 0.390E+02 0.330E+01
0.462E+03 0.336E+02 0.390E+02 0.330E+01
0.463E+03 0.334E+02 0.390E+02 0.340E+01
0.464E+03 0.333E+02 0.390E+02 0.360E+01
0.465E+03 0.334E+02 0.390E+02 0.370E+01
0.466E+03 0.336E+02 0.285E+02 0.360E+01
0.467E+03 0.336E+02 0.228E+02 0.340E+01
0.468E+03 0.336E+02 0.390E+02 0.340E+01
0.469E+03 0.334E+02 0.390E+02 0.340E+01
0.470E+03 0.334E+02 0.390E+02 0.360E+01
0.471E+03 0.334E+02 0.311E+02 0.360E+01
0.472E+03 0.336E+02 0.390E+02 0.360E+01
0.473E+03 0.336E+02 0.254E+02 0.340E+01
0.474E+03 0.334E+02 0.390E+02 0.340E+01
0.475E+03 0.334E+02 0.390E+02 0.360E+01
0.476E+03 0.334E+02 0.311E+02 0.360E+01
0.477E+03 0.336E+02 0.390E+02 0.360E+01
|
808dff0369920c6af8d95e391c4fd8fe7d8d99e0 | 449d555969bfd7befe906877abab098c6e63a0e8 | /557/CH9/EX9.8/8.sce | 5c786da0bc851babbb2accfc6be48bd0773f7fc8 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 437 | sce | 8.sce | funcprot(0);clc; //Example 9.8
//Initializing the variables
V = 300 ;// Volume rate
w = 3;
d = 65;
l = 30;
scaleH = 30/1000/18;
scaleV = 1/60;
ZmByZr = 1/60;
LmByLr = 1/600;
rho = 1000;
mu = 1.14*10^-3;
//Calculations
Vr = V/(w*d);
Vm =Vr*sqrt(ZmByZr);
m = (w*d*scaleH*scaleV)/(d*scaleH + 2*w*scaleV);
Rem = rho*Vm*m/mu;
TmByTr = LmByLr*sqrt(1/ZmByZr);
Tm = 12.4*60*TmByTr;
disp(Tm, "Tidal Period (minutes):"); |
feff23619fab9e170eb91acd7a6b494e81ea453a | 449d555969bfd7befe906877abab098c6e63a0e8 | /10/CH8/EX4/cha8_4.sce | 7986fd7afd0d03dfe33fa6b8730310fba01d32f3 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 176 | sce | cha8_4.sce | Lw=30;R=15;Ia=3;V=45;
Tow=Lw/R
t1=0.7*Tow
t0=0:0.1:t1;
t=0;
a=integrate('45*(-3+6*%e^(-x/2))','x',t,t0)
Energy=(1/2)*Lw*Ia^2
ProEnergy=(a/Energy)*100 |
539f8e2f8c77c234a9787374672379eef836c17e | 4e7aac39f36916a964f4664f3198d7c87e762253 | /scilab/chis_estimater.sce | 020729f4a682a138580bcede3b72b8cb06ab177a | [] | no_license | kirillin/manipulator_dynamics | 349c01fd5aef8b42734edc497a7d48ee49aced9c | a773091ea5a62493b77885a0e2df6491282faa4c | refs/heads/master | 2021-10-22T13:15:09.489858 | 2019-03-10T23:00:56 | 2019-03-10T23:00:56 | 108,987,774 | 1 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 7,591 | sce | chis_estimater.sce | ////////////////////////////////////////////////////////////////////////
//////// SCRIPT FOR ESTIMATION AND PLOTING PARAMETERS ...///////////////
////////////////////////////////////////////////////////////////////////
clc();
//clear;
stacksize('max');
////////////////////////////////////////////////////////////////////////
////////// INITIALIZATION //////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////
path = get_absolute_file_path("chis_estimater.sce");
path = path + "../data_for_identification_Youbot/";
QTY_FILES = 10;
QTY_JOINTS = 5;
QTY_COLS = 70;
TOTAL_COLS = 70;
LINEAR_COLS = [2,3,4,6,7,8,9,0,1,5,17,18,20,31,10,14,32,15,16,19,21,22,23,61]+1;
TITLES = ["m_{%d}","mx_{c%d}","my_{c%d}","mz_{c%d}","I_{%d,xx}","I_{%d,yy}","I_{%d,zz}","I_{%d,xy}","I_{%d,xz}","I_{%d,yz}","I_{a, %d}","f_{v,%d}","f_{c,%d}","f_{off,%d}"];
function [xi,tau]=read_measuarments(_path, _data_type, number)
// !!! need global xi and tau
// _type: filt or raw
// number: number of file
// Example for path to file "/home/data/bigs/filt/big_xi1.txt"
// [xi,tau]=read_measuarments("/home/data/", "filt", 1);
fn_xi = _path + sprintf("bigs_full/%s/big_xi%d.txt", _data_type, number);
fn_tau = _path + sprintf("bigs_full/%s/big_tau%d.txt", _data_type, number);
xi = read(fn_xi, -1, QTY_COLS);
tau = read(fn_tau, -1, 1);
printf("Was read: xi[%d, %d], tau[%d, %d]\n", length(xi(:,1)),length(xi(1,:)),length(tau(:,1)), length(tau(1,:)))
endfunction
function [xi,tau]=normalization(xi, tau)
//NORMALIZING DATA
sz = size(xi);
m = sz(1) / QTY_JOINTS;
for i = 1:QTY_JOINTS
taus(:,i) = tau(i:QTY_JOINTS:sz(1),:);
end
for i = 1:QTY_JOINTS
norma(i) = norm(taus(:, i))
end
winH=waitbar('Нормировка данных...');
for i = 1:sz(1)
waitbar(i/sz(1),winH);
tau(i) = tau(i) / norma(pmodulo(i-1, QTY_JOINTS)+1);
xi(i, :) = xi(i, :) / norma(pmodulo(i-1, QTY_JOINTS)+1);
end
close(winH);
clear taus;
endfunction
function Chis=estimate_chis(_data_type, method_id)
Chi = zeros(QTY_COLS, QTY_FILES);
est_Chi_k_1 = zeros(QTY_COLS, 1);
for i = 1:QTY_FILES
[xi,tau]=read_measuarments(path, _data_type, i);
// [xi,tau]=normalization(xi, tau);
select method_id
case 1 then
Chi(:, i) = xi \ tau;
case 2 then
Chi(:, i) = lsq(xi, tau);
case 3 then
// Sigma = 0.0001 * eye(QTY_COLS, QTY_COLS);
// Chi(:,l) = inv(xi' * xi + Sigma) * xi' * tau;
Chi(:, i) = inv(xi' * xi) * xi' * tau;
case 4 then
[U,S,V] = svd([xi]);
Splus = inv(S' * S) * S';
Chi(:, i) = V * Splus * U' * Tau;
case 5 then
[U,S,V] = svd([xi, tau]);
Chi(:, i) = - V(1:$-1, $) / V($, $);
case 6 then
p = QTY_JOINTS;
sz = size(xi);
m = sz(1) / QTY_JOINTS;
r = 1;
xi_k = xi((r*p-p+1):(r*p), :)';
P_k_1 = eye(QTY_COLS, QTY_COLS);
g_k = P_k_1 * xi_k;
eps_k_1 = zeros(p, 1);
for k = 2:m do
xi_k = xi(r*p-p+1:r*p, :)';
y_k = tau(r*p-p+1:r*p,:);
r = r + 1;
eps_k = y_k - xi_k' * est_Chi_k_1;
g_k = P_k_1 * xi_k * inv(1*eye(p,p) + xi_k' * P_k_1 * xi_k);
P_k = P_k_1 - g_k * xi_k' * P_k_1;
est_Chi_k = est_Chi_k_1 + g_k * eps_k;
///// Plot eps
// plot(k-1:k, [eps_k_1, eps_k]);
///// Plot parameters
//s = est_Chi_k_1;
//e = est_Chi_k;
//plot(k-1:k, [s,e]);
//disp(k);
eps_k_1 = eps_k;
P_k_1 = P_k;
est_Chi_k_1 = est_Chi_k;
end;
Chi(:,i) = est_Chi_k;
end
// CLEAR MEMORY
clear tau;
clear xi;
end
Chis = Chi;
endfunction
function ans=in(vec, el)
ans = %f;
n = length(vec);
for i = 1:n do
if el == vec(i) then
ans = %t;
return;
end
end
endfunction
function [mn,_sd,psd,nsd]=sd(Chis)
mn = mean(Chis, 'c');
_sd = stdev(Chis, 'c');
psd = mn + _sd;
nsd = mn - _sd;
endfunction
function plot_chis(Chis, kolor, _data_type)
n = QTY_FILES;
params = 14;
lables = []
for l = 1:n do
lables(l) = "";
end
k = 1;
for i = 1:TOTAL_COLS do
subplot(n, TOTAL_COLS/n, i);
if in(LINEAR_COLS, i) == %f then
legenda = [];
sz = size(_data_type);
for j = 1:sz(2) do
Chi = Chis(:, (j-1)*n+1:j*n);
disp(size(Chi))
[mn,_sd,psd,nsd] = sd(Chi)
plot2d(1:n, Chi(k, :), kolor(j));
plot2d(1:n, ones(1, n) * psd(k), kolor(j));
plot2d(1:n, ones(1, n) * nsd(k), kolor(j));
a = gca();
a.x_ticks = tlist(["ticks", "locations", "labels"],1:1:n, string(lables'));
a.font_size = 0;
format('e', 8);
a.y_ticks = tlist(["ticks", "locations", "labels"],[nsd(j), mn(j), psd(j)], string([nsd(j), mn(j), psd(j)]));
format('v');
a.margins(1) = 0.3;
a.margins(2) = 0.0;
l = modulo(i, params)
if l == 0 then
l = params;
end;
a.title.text = "$"+string(sprintf(TITLES(l), ceil(i / params)))+"$";
a.title.position = [3, psd(k)];
a.title.font_size = 2;
legenda(j) = string(sprintf("$sd_{%s}: {%.2f}", _data_type(j), _sd(k) / abs(mn(k)) * 100)) + "\%$"
end
a = gca()
legend(legenda(1), legenda(2));
aa = a.children(1);
aa.fill_mode = "off";
k = k + 1;
else
plot(0,0);
a = gca();
a.font_size = 0;
a.x_ticks = tlist(["ticks", "locations", "labels"],1:1:n, string(lables'));
a.background = 35;
a.margins(1) = 0.3;
a.margins(2) = 0.0;
end
end
endfunction
function plot_taus(Chis, _data_type)
p = QTY_JOINTS;
for i = 1:QTY_FILES do
[xi,tau]=read_measuarments(path, _data_type, i);
// [xi,tau]=normalization(xi, tau);
sz = size(xi);
m = sz(1) / QTY_JOINTS;
tau_calc = xi * Chis(:,i);
scf();
for j = 1:QTY_JOINTS do
subplot(2, 3, j);
//subplot(QTY_FILES, QTY_JOINTS, (i-1)*QTY_JOINTS+j);
plot2d(1:m, tau(j:p:sz(1)), 3);
plot2d(1:m, tau_calc(j:p:sz(1)), 1);
legend("raw data", 'calc data')
a = gca()
a.title.text = 'Link ' + string(j);
end
xs2pdf(gcf(), path + string(i) +'.pdf');
xs2png(gcf(), path + string(i) +'.png');
end
endfunction
//Chis_filt = estimate_chis("filt", 1)
//mean_Chi_filt = mean(Chis_filt,'c')
//plot_taus(mean_Chi_filt, "filt");
//Chis_raw = estimate_chis("raw", 1)
//plot_taus(Chis_raw, "raw");
plot_chis([Chis_filt, Chis_raw], [2, 5], ["filt", "raw"])
|
5b8a116d119d2ecdfbeedce7acc4a914be1c3252 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3035/CH6/EX6.4/Ex6_4.sce | 58290a36738346a9f9dbb86e0b911c8b66bd3a5d | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 889 | sce | Ex6_4.sce | // Variable Declaration
E = 40.0 //Safe working stress(kV/cm) rms
d = 1.5 //Conductor diameter(cm)
D = 6.7 //Sheath diameter(cm)
t = 0.1 //Thickness of lead tube(cm)
// Calculation Section
r = d/2 //Conductor radius(cm)
R = D/2 //Sheath radius(cm)
r_i = r+((R-r)/2)-t/2 //Internal radius of intersheath(cm)
r_e = r_i + t //External radius of intersheath(cm)
V_1 = E*r*log(r_i/r) //Voltage across conductor & intersheath(kV)
V_2 = E*r_e*log(R/r_e) //Voltage across intersheath & earthed sheath(kV)
V = V_1 + V_2 //Safe working voltage with intersheath(kV)
V_no = E*r*log(R/r) //Safe working voltage without intersheath(kV)
// Result Section
printf('Safe working voltage with intersheath , V = %.2f kV' ,V)
printf('Safe working voltage without intersheath , V = %.2f kV' ,V_no)
|
49d7e4837dddd243e0bd523ca51cb68d81dfabcd | 449d555969bfd7befe906877abab098c6e63a0e8 | /291/CH14/EX14.3d/eg14_3d.sce | 4ef967626621bba0e819b0ae32944374b7f979b7 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 239 | sce | eg14_3d.sce | r = 30;
T = 600;
theta = 25;
val1 = cdfchi("PQ", 2*T/theta, 2*r);
val2 = 1- cdfchi("PQ", 2*T/theta, 2*(r+1));
pvalue = min(val1, val2);
disp(pvalue, "The pvalue is");
disp("H0 would be accepted when the significance level is 0.10"); |
0a10c57399a4299f27d0aa262cdc3f64a2d9bc1a | 28f88c035b368ddbe3efd8f5dbf48f01496d1ad0 | /lab3/Mux16.tst | 2916ab8168ce63747698284265fc3678bc35b39f | [] | no_license | sandeepkasimalla/Computer_System_Design_CS4110 | 46c06acd04c7b0477ff37b76d127c15f005feb9b | 79d89db0b19f18b9a337fd8e18926114959c5323 | refs/heads/master | 2020-07-11T22:45:14.966087 | 2019-11-21T18:46:33 | 2019-11-21T18:46:33 | 204,659,866 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 545 | tst | Mux16.tst | load Mux16.hdl,
output-file Mux16.out,
compare-to Mux16.cmp,
output-list ip1%B1.16.1 ip2%B1.16.1 s%D2.1.2 out%B1.16.1;
set ip1 0,
set ip2 0,
set s 0,
eval,
output;
set s 1,
eval,
output;
set ip1 %B0000000000000000,
set ip2 %B0001001000110100,
set s 0,
eval,
output;
set s 1,
eval,
output;
set ip1 %B1001100001110110,
set ip2 %B0000000000000000,
set s 0,
eval,
output;
set s 1,
eval,
output;
set ip1 %B1010101010101010,
set ip2 %B0101010101010101,
set s 0,
eval,
output;
set s 1,
eval,
output;
|
482d077ca949ea067e966ce3117910bdc6cbe43c | 449d555969bfd7befe906877abab098c6e63a0e8 | /3683/CH10/EX10.4/Ex10_4.sce | 2b0da9bc01b9c3b28026ce60ec4229f2b4e22d8b | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 2,103 | sce | Ex10_4.sce | R=0.15//rise, in m
t=0.3//tread, in m
sigma_cbc=5//in MPa
sigma_st=230//in MPa
l1=1.8+1.5//span for flight AB, in m
l2=1.2+1.5+1.5//span for flight BC, in m
l3=1.8+1.5//span for flight CD, in m
//assuming 50 mm slab thickness per 1 m of span
D=50*l2//slab thickness, in mm
W1=D/10^3*25*1.5*sqrt(R^2+t^2)/t//slab load on plan, in kN/m
W2=1/2*R*t*1.5*25/t//load of step per metre, in kN/m
W3=1.5*5//live load, in kN/m
W=W1+W2+W3//in kN/m
//bending moment
//(a) flight AB and CD, refer Fig. 10.9
Rb=(W/2*1.5*(1.8+1.5/2)+W*1.8^2/2)/(1.5+1.8)//in kN
Ra=W/2*1.5+W*1.8-Rb//in kN
x=Ra/Rb//point of zero shear force from Ra, in m
M1=Ra*x-W*x^2/2//maximum bending moment, in kN-m
//(b) flight BC, refer Fig. 10.10
Rb=(W/2*1.5^2/2+W*1.2*(1.2/2+1.5)+W/2*1.5*(1.5+1.2+1.5/2))/(1.5+1.2+1.5)//in kN
Rc=Rb//in kN
//maximum bending moment will be at centre
M2=Rb*(1.5+1.2/2)-W/2*1.5*(1.5/2+1.2/2)-W*(1.2/2)^2/2//maximum bending moment, in kN-m
M=max(M1,M2)//in kN/m
d=sqrt(M*10^6/0.65/1.5/10^3)//in mm
//assume 10 mm dia bars
dia=10//in mm
D=d+dia/2+25//< 210 mm (assumed value)
D=210//in mm
d=D-dia/2-25//in mm
//steel
//flight AB and CD
z=0.9*d//in mm
Ast=M1*10^6/sigma_st/z//in sq mm
s1=1500*0.785*dia^2/Ast//spacing of 10 mm dia bars, in mm
s1=210//round-off, in mm
Ads=0.12/100*D*1.5*10^3//distribution steel, in sq mm
//provide 6 mm dia bars
s2=1000*0.785*6^2/Ads//in mm
s2=70//round-off, in mm
//flight BC
Ast=M2*10^6/sigma_st/z//in sq mm
s3=1500*0.785*dia^2/Ast//spacing of 10 mm dia bars, in mm
s3=130//round-off, in mm
//distribution steel is same as flights AB and CD
//let span-to-depth ratio be 'a'
a=l2*10^3/D
//for Fe415 grade steel and pt=.32
MF=1.2//modification factor
b=20*MF//permissible span-to-depth ratio
//as a < b, hence OK
mprintf("Summary of design\nSlab thickness=%d mm\nCover = 25 mm\n(a)Flight AB and CD\nMain steel = 10 mm dia bars @ %d mm c/c\nDistribution steel = 6 mm dia @ %d mm c/c\n(b)Flight BC\nMain steel = 10 mm dia bars @ %d mm c/c\nDistribution steel = 6 mm dia @ %d mm c/c",D,s1,s2,s3,s2)
//answer in textbook is incorrect
|
cc481928e409c4221bd859c88ac246cc5b9ef69c | 717ddeb7e700373742c617a95e25a2376565112c | /1766/CH2/EX3.38/EX2_38.sce | 587a811120ef06069c51d354912ca12b278d2d3f | [] | no_license | appucrossroads/Scilab-TBC-Uploads | b7ce9a8665d6253926fa8cc0989cda3c0db8e63d | 1d1c6f68fe7afb15ea12fd38492ec171491f8ce7 | refs/heads/master | 2021-01-22T04:15:15.512674 | 2017-09-19T11:51:56 | 2017-09-19T11:51:56 | 92,444,732 | 0 | 0 | null | 2017-05-25T21:09:20 | 2017-05-25T21:09:19 | null | UTF-8 | Scilab | false | false | 719 | sce | EX2_38.sce | clc;funcprot(0);//Example 2.38
//Initilisation of Variables
t=0.001;....//Thickness of copper plate in m
L=0.15;....//Height of plate in m
K=60;....//thermal conductivity of wall material in W/m*degrees celcius
Tb=50;....//temparature of pipe wall in degrees celcius
Th=100;....//temparature reading in thermometer in degrees celcius
h=25;....//heat transfer coefficient batween air and well wall in W/m^2
//calculations
m=sqrt(h/(K*t));....//
Tf=((50/cosh(m*L))-Th)/((1/cosh(m*L))-1);...//temparature of air in degrees celcius
e=Tf-Th;....//error in reading in degrees celcius
p=(e/Tf)*100;....//percentage error in %
disp(Tf,"temparature of air in degrees celcius:")
disp(p,"percentage error in %:")
|
7ea4f51b310d62bcc5523e17d996e2f52ccab4e3 | 76b8c4ba0a69d3281b658f0fcf0ec56a96e27581 | /Workspace/Mission_A4.sce | 0124bc8506044683b50af824332a66d2c953494d | [] | no_license | RomainJunca/ExoLife | 0824fa566b38c5061f77592df6c38c3614dd8619 | 8da1524432d0ef1137d5e73e80cec339e6ec1c33 | refs/heads/master | 2020-05-25T14:08:07.353617 | 2017-03-20T08:31:32 | 2017-03-20T08:31:32 | 84,937,995 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 966 | sce | Mission_A4.sce | //Mission A4
//On récupère les deux images.
pathname = "C:\Users\Jean-Guillaume P\Documents\Exia\A2\Projets\Imagerie\ExoLife\Images\Mission_A\Jupiter1.pbm";
pathname2 = "C:\Users\Jean-Guillaume P\Documents\Exia\A2\Projets\Imagerie\ExoLife\Images\Mission_A\Jupiter2.pbm";
jupiter1 = readpbm(pathname);
jupiter2 = readpbm(pathname2);
//On "extrait" le bruit des images.
bruitJupiter = soustractionImage(jupiter1, jupiter2);
//On soustrait le bruit obtenu précédemment de l'image de Jupiter.
jupiterFinal1 = soustractionImage(jupiter1, bruitJupiter);
//On "affine" l'image avec le filtre médian, faisant ainsi disparaître le bruit.
jupiterFinal2 = filtreMedian(jupiterFinal1);
// Affichage
figure;
display_gray(bruitJupiter);
figure;
display_gray(jupiterFinal1);
figure;
display_gray(jupiterFinal2);
// Sauvegarde de l'image
writepbm(jupiterFinal2, "C:\Users\Jean-Guillaume P\Documents\Exia\A2\Projets\Imagerie\ExoLife\Rendus\MissionA4.pbm");
|
d951e1fb6128c67a28b371a607a308832d81075f | 6e257f133dd8984b578f3c9fd3f269eabc0750be | /ScilabFromTheoryToPractice/penduleelastique.sce | 82787a175455bb8f2368f1bded865b4b35f026d7 | [] | no_license | markusmorawitz77/Scilab | 902ef1b9f356dd38ea2dbadc892fe50d32b44bd0 | 7c98963a7d80915f66a3231a2235010e879049aa | refs/heads/master | 2021-01-19T23:53:52.068010 | 2017-04-22T12:39:21 | 2017-04-22T12:39:21 | 89,051,705 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 5,331 | sce | penduleelastique.sce | //********************************************************
// animation d'un pendule élastique
//********************************************************
// fonction pour créer la matrice de rotation
function M=rot(a)
M=[cos(a),sin(a);-sin(a),cos(a)];
endfunction
// quelques constantes
n=40; // nombre de spires du ressort
T=5; // durée de la simulation
g=9.81; // g (gravitation)
k=10; // k (raideur du ressort)
dt=0.01; // dt (pas de temps)
//********************************************************
// lancement de l'affichage
//********************************************************
// titre de la fenêtre
xtitle("(clic gauche pour démarrer l''animation, clic droit pour arrêter)")
// page de titre (en LaTeX)
titlepage(["résolution numérique d''une EDO le pendule à ressort : ";
" ";
"$$\Large r{d^2\over dt^2}a+2{d\over dt}r \times {d\over dt}a=g\times \sin(a)$$";
" ";
"$$\Large {d^2\over dt^2}r-{k\over m}(r-r_0)=r\left({d\over dt} a\right)^2+g\times \cos(a)$$";
" ";
" avec les conditions initiales : ";
"$$\Large a(0)=? \;\;\;\;\;\; {d\over dt}a(0)=0 \;\;\;\;\;\; r(0)=r_0=? \;\;\;\;\;\; {d\over dt}r(0)=0 $$"])
//********************************************************
// traitement des interactions avec la fenêtre graphique
//********************************************************
[c_i,c_x,c_y,c_w]=xclick(); // attente d'un clic de souris dans la fenêtre
while (c_i<>2)&(c_i<>5) // tant qu'on n'a pas fait un clic droit
clf() //effacer la fenêtre
//********************************************************
// récupération des données initiales de l'animation
//********************************************************
// titre de la fenêtre
xtitle("(un click pour initialiser la position du pendule, a(0) et r(0) )")
// paramétrage du handle Axes de la fenêtre
plot(0,0,'.k');A=gca();A.x_location="origin";A.y_location="origin";
A.auto_scale="off";A.isoview="on";A.data_bounds=[-1 -1; 1,0];xgrid(3)
//récupération des coordonnées de la position initiale du pendule
[c_i,x,y,c_w]=xclick();
// calcul des données initiales
a=sign(x)*abs(atan(x/y));a0=a;da=0; // calcul de l'angle a(0)
l=sqrt(x^2+y^2);r=l;,dr=0; // calcul de r(0)
//adapter la taille de la fenêtre à la taille maximale du pendule
A.data_bounds=[-1.5,-max(4*l,4);1.5,max(l,0.5)];
//********************************************************
// boucle créant l'animation
//********************************************************
for t=0:dt:T
//********************************************************
// calcul des nouvelles positions
//********************************************************
// résolution des équations différentielles sur a et r par la méthode d'Euler
dda=-(g*sin(a)+2*dr*da)/r;
ddr=r*(da)^2-k*(r-l)+g*cos(a);
da=da+dt*dda;
dr=dr+dt*ddr;
a=a+dt*da;
r=r+dt*dr;
// calcul de la ligne traçant le ressort
ressortr=linspace(0,r,n)'; // étirement du ressort
ressorta=[0;(-1).^[0:n-3]';0]*(l/10); // coordonnées transversales à l'axe du ressort -> /\/\/\
//rotation de l'image du ressort selon l'angle a
x=[x;r*sin(a)];
y=[y;-r*cos(a)];
M=-rot(-a);
N=[ressortr,ressorta]*M;
ressorty=N(:,1);ressortx=N(:,2);
//********************************************************
// affichage du pendule
//********************************************************
drawlater() // écriture dans le buffer graphique
clf() // effacer la fenêtre
plot(ressortx,ressorty) // affichage du ressort du pendule
xstring(0,0.1,["t=" string(t)]) // temps écoulé
xfarc(r*sin(a)-0.05,-r*cos(a)+0.05,0.1,0.1,0,360*64) // la boule du prendule
// redimensionnement de la fenêtre graphique
A=gca();A.data_bounds=[-1.5,-max(4*l,4);1.5,max(l,0.5)];
A.auto_scale="off";A.isoview="on";A.axes_visible=["off" "off" "off"];
drawnow() // afficher le buffer graphique
sleep(10); // delai d'affichage
end
//***********************************************************
// choix d'une nouvelle animation ou d'une sortie du script
//***********************************************************
xtitle("(un clic pour continuer )") // titre de la fenêtre
plot(x,y,'-r') // affichage trajectoire
A=gca();A.isoview="on";xgrid(3); // afficher une grille (verte)
[c_i,x,y,c_w]=xclick(); // attente d'un clic de souris dans la fenêtre graphique
clf(); // choix d'une nouvelle action
xtitle("(clic gauche pour démarrer l''animation, clic droit pour arrêter)")
plot(0,0,'.k');A=gca();A.x_location="origin";A.y_location="origin";
[c_i,x,y,c_w]=xclick(); //attente d'un clic de souris dans la fenêtre
end
|
b75a816039f7620d39e03cfdf25a3748db4b5693 | 717ddeb7e700373742c617a95e25a2376565112c | /3044/CH11/EX11.2/Ex11_2.sce | 29907fb128e9a6df6a140e1b45f473cd59125bdf | [] | no_license | appucrossroads/Scilab-TBC-Uploads | b7ce9a8665d6253926fa8cc0989cda3c0db8e63d | 1d1c6f68fe7afb15ea12fd38492ec171491f8ce7 | refs/heads/master | 2021-01-22T04:15:15.512674 | 2017-09-19T11:51:56 | 2017-09-19T11:51:56 | 92,444,732 | 0 | 0 | null | 2017-05-25T21:09:20 | 2017-05-25T21:09:19 | null | UTF-8 | Scilab | false | false | 555 | sce | Ex11_2.sce | // Variable declaration
n = 50
Meanx = 88.34
Meany = 305.58
s1 = 7239.22
s2 = 17840.1
s3 = 66975.2
x = []
for i = 60:119
x(i) = i
end
// Calculation
Slope1 = s2/s1
c1 = Meany - (s2/s1)*Meanx
Slope2 = s2/s3
c2 = Meanx - (s2/s3)*Meany
// Result
printf ( "Part-A: , Height = %.2f + %.3f *width",c1,Slope1)
printf ( "Part-B: Height = %.2f + %.3f *width",-c2/Slope2,1/Slope2)
plot(x,c1+Slope1*x)
plot(x,-c2/Slope2 + x/Slope2)
legend(['height = 87.88 + 2.464*width', 'height = -26.11 + 3.759*width'])
xlabel("$Width$")
ylabel("$Height$")
|
858e735abb295a6f0f471c5eaf091dc26a553e9a | 4bbc2bd7e905b75d38d36d8eefdf3e34ba805727 | /ee_scicoslab/builder.sce | 2cf214882ce6662a42fac4c89ac1797ce8a7be9b | [] | no_license | mannychang/erika2_Scicos-FLEX | 397be88001bdef59c0515652a365dbd645d60240 | 12bb5aa162fa6b6fd6601e0dacc972d7b5f508ba | refs/heads/master | 2021-02-08T17:01:20.857172 | 2012-07-10T12:18:28 | 2012-07-10T12:18:28 | 244,174,890 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 254 | sce | builder.sce | //% Scicos pack for FLEX and EASYLAB builder
exec(SCI + '/contrib/scicos_ee/utils/palette_builder.sce');
exec(SCI + '/contrib/scicos_ee/scicos_flex/dspic/macros/man/builder.sce');
message('Please, restart ScicosLab for the changes to take effect...'); |
c2ac7ebf81b1c546cbc88a8cd459d3c177a7b1fb | 449d555969bfd7befe906877abab098c6e63a0e8 | /104/CH3/EX3.9/3_9.sce | c36cc08d4a8a77170c68b3e742180b09c3dca4e2 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 274 | sce | 3_9.sce | //finding transfer function from state diagram by applying gain formula
//state diagram is shown in fifure 3-21
syms s
//initial conditions are sset to zero
M1=s^-1*s^-1
L11=-3*s^-1
L21=-2*s^-1*s^-1
delta=1-(L11+L21)
delta1=1
x=M1*delta1/delta
disp(x,"Y(s)/R(s)=") |
641c8d1cd42337f6c3e2b210af1b98d84e040d07 | a62e0da056102916ac0fe63d8475e3c4114f86b1 | /set12/s_Higher_Engineering_Mathematics_B._S._Grewal_149.zip/Higher_Engineering_Mathematics_B._S._Grewal_149/CH1/EX1.6/ex6.sce | 48d9bd64350b9d1acf5ea001ca905fa252e9c325 | [] | no_license | hohiroki/Scilab_TBC | cb11e171e47a6cf15dad6594726c14443b23d512 | 98e421ab71b2e8be0c70d67cca3ecb53eeef1df6 | refs/heads/master | 2021-01-18T02:07:29.200029 | 2016-04-29T07:01:39 | 2016-04-29T07:01:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 141 | sce | ex6.sce | errcatch(-1,"stop");mode(2);
x=poly([0],'x');
p=x^4-2*(x^3)-21*(x^2)+22*x+40
disp("the roots of above equation are ")
roots(p)
exit();
|
e69770c353b53c6a95beac57f19ca5ada826aa1a | 449d555969bfd7befe906877abab098c6e63a0e8 | /2123/CH5/EX5.23/Exa_5_23.sce | 43b1bbe3062389b5aef7d31578c0405e6d48b127 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 428 | sce | Exa_5_23.sce | //Example No. 5.23
clc;
clear;
close;
format('v',9);
//Given Data :
T1=40;//N-m
N1=500;//rpm
J=0.01;//N-m_sec^2/rad
T2=100;//N-m
N2=1000;//rpm
disp("Te=J*d(omega)/dt+D*omega+TL");
d_omegaBYdt=(T2-T1)/J;//
//t=omega/d_omegaBYdt+A;
omega1=N1*2*%pi/60;//rad/s
t=0;//s(initial time)
A=t-omega1/d_omegaBYdt;//
omega2=N2*2*%pi/60;//rad/s
t=omega2/d_omegaBYdt+A;//s
disp(t,"Time taken by the motor in sec : ");
|
eec0bb5afd7cd69dbbca68b448979a352e7d819e | 449d555969bfd7befe906877abab098c6e63a0e8 | /2087/CH5/EX5.11/example5_11.sce | df801d30c46f3f2099adb05a105e7c09d8904f89 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 760 | sce | example5_11.sce |
//example 5.11
//calculate discharge if one well discharges
//percent decrease when two well discharges
clc;
//given
d=0.2; //diameter of well
r=d/2;
B=100; //distance between wells
b=12; //thickness of acquifer
k=60; //coefficient of permeability
s=3; //dispersion head
R=250; //radius of influence
Q=2.72*b*k*s/(24*log10(R/r));
mprintf("discharge if one well discharges=%i cubic metre/hour.",Q);
//when both well are discharging
Q1=2.72*k*b*s/(24*log10(R^2/(r*B)));
Q1=round(Q1*10)/10;
mprintf("\ndischarge if both wells discharges=%f cubic metre/hour.",Q1);
PE=(Q-Q1)*100/Q;
PE=round(PE*100)/100;
mprintf("\npercentage decrease in discharge=%f percent.",PE);
|
dddcd879b94866426378c277daa73d4f4bbda910 | 8217f7986187902617ad1bf89cb789618a90dd0a | /source/2.4.1/examples/addinter-examples/ex1f.sce | 6c580ad88f4434a7646d3b96c8a7f73b3f17b2d1 | [
"LicenseRef-scancode-public-domain",
"LicenseRef-scancode-warranty-disclaimer"
] | permissive | clg55/Scilab-Workbench | 4ebc01d2daea5026ad07fbfc53e16d4b29179502 | 9f8fd29c7f2a98100fa9aed8b58f6768d24a1875 | refs/heads/master | 2023-05-31T04:06:22.931111 | 2022-09-13T14:41:51 | 2022-09-13T14:41:51 | 258,270,193 | 0 | 1 | null | null | null | null | UTF-8 | Scilab | false | false | 681 | sce | ex1f.sce | // Copyright INRIA
files=G_make(['/tmp/ex1fi.o','/tmp/ex1f.o'],'ex1f.dll');
addinter(strcat(files,' '),'foobarf','foubaref');
a=1:10;b=a+1;c=ones(2,3)+2;
[x,y,z,t]=foubaref('mul',a,b,c);
// Check the result
if norm(t-(a*2)) > %eps then pause,end
if norm(z-(b*2) ) > %eps then pause,end
if norm(y-(c*2)) > %eps then pause,end
deff('[y]=f(i,j)','y=i+j');
if norm(x- ( y.* feval(1:2,1:3,f))) > %eps then pause,end
[x,y,z,t]=foubaref('add',a,b,c);
// Check the result
if norm(t-(a+2)) > %eps then pause,end
if norm(z-(b+2) ) > %eps then pause,end
if norm(y-(c+2)) > %eps then pause,end
deff('[y]=f(i,j)','y=i+j');
if norm(x- ( c +2 + feval(1:2,1:3,f))) > %eps then pause,end
|
c869c9d4dd8b3a3d56829bb120e44d2aab38706d | 449d555969bfd7befe906877abab098c6e63a0e8 | /3869/CH1/EX1.13/Ex1_13.sce | ab53d700510c6d3d0dd6f274ae7184dad8f0dd7a | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 294 | sce | Ex1_13.sce | clear
//
//
//
//Variable declaration
x=15 //distance(cm)
d=0.005 //diameter(cm)
lamda=6000*10**-8 //wavelength(cm)
//Calculation
alpha=d/x //angle(radian)
beta1=lamda/(2*alpha) //fringe width(cm)
//Result
printf("\n fringe width is %0.3f cm",beta1)
|
f64e709a3cc613babbdff5b8e6f5c415b5a59f9d | 449d555969bfd7befe906877abab098c6e63a0e8 | /833/CH7/EX7.11/Ex7_11.txt | 2cb6e029f554f25c86cda06613921bb1c84a0b90 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 429 | txt | Ex7_11.txt | //Caption: Calculate Power and torque developed
//Exa:7.11
clc;
clear;
close;
p=4//Number of poles
d=20//Diameter of armature(in cm)
l=25//Core length(in cm)
c=300//Number of conductors
i_a=50//Armature current(in A)
B=0.3//Average flux density(in weber/m^2)
n=1000//Speedofmotor(in r.p.m)
T=(B*(l/100)*(i_a/p)*c*(d/100)*(1/2))
s=(2*%pi*n)/(60)
P=(T*s)/1000
disp(T,P,'Power(in KW) and Torque(in Nm) developed is=') |
c7ede1238c5eb75d73b2e7fcd91bd9166c5e35d0 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3472/CH43/EX43.12/Example43_12.sce | 6daa0b04004fc2da2cb6455cc46d079be34477f2 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 1,011 | sce | Example43_12.sce | // A Texbook on POWER SYSTEM ENGINEERING
// A.Chakrabarti, M.L.Soni, P.V.Gupta, U.S.Bhatnagar
// DHANPAT RAI & Co.
// SECOND EDITION
// PART IV : UTILIZATION AND TRACTION
// CHAPTER 5: ELECTRIC TRACTION-SPEED TIME CURVES AND MECHANICS OF TRAIN MOVEMENT
// EXAMPLE : 5.12 :
// Page number 784-785
clear ; clc ; close ; // Clear the work space and console
// Given data
W = 200.0 // Trailing weight(tonne)
G = 1.0 // Gradient(%)
alpha = 1.0 // Acceleration(km phps)
u = 0.2 // Co-efficient of adhesion
r = 50.0 // Train resistance(N/tonne)
I = 10.0 // Rotational inertia(%)
// Calculations
W_L = ((277.8*(100+I)/100*alpha)+98.1*G+r)*W/(u*9.81*1000-((277.8*(100+I)/100*alpha)+98.1*G+r)) // Weight of locomotive(tonnes)
// Results
disp("PART IV - EXAMPLE : 5.12 : SOLUTION :-")
printf("\nMinimum adhesive weight of a locomotive, W_L = %.1f tonnes\n", W_L)
printf("\nNOTE: ERROR: Calculation mistake in textbook solution in calculating W_L")
|
096517b382fcaf9618212fe0da9e1d9969982198 | 72a220c48df3bd5a46a8358c0fe109a8b5edeb94 | /testfile.tst | c19cd27b344c11c616ead31566336aec30dcd8b4 | [] | no_license | t1h1az/googleMapsApiExample | bb1bd9e92d2c9feb140f3e68b2f973161dbe87c7 | bf856ec555394ee2c47a1d2848f2a9dddd320d47 | refs/heads/master | 2021-10-11T02:30:22.519438 | 2019-01-21T11:38:06 | 2019-01-21T11:38:06 | 103,539,191 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 36 | tst | testfile.tst | ah ha
ah ha and aha
ah ha and aha
|
c78aa1e084dad6bc2a65c2b6bd83b86357285adc | 449d555969bfd7befe906877abab098c6e63a0e8 | /181/CH1/EX1.25/example1_25.sce | 3a451691473966899246f8069664adf962b701dc | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 900 | sce | example1_25.sce | // Find drift velocity,mobility,conductivity
// Basic Electronics
// By Debashis De
// First Edition, 2010
// Dorling Kindersley Pvt. Ltd. India
// Example 1-25 in page 51
clear; clc; close;
// Data given
A=0.835*10^-6; // Cross section of wire in m^2
J=2.4*10^6; // Current density in A/m^2
n_0=8.4*10^27; // Concentration of electrons in copper in electrons/m^3
e=1.6*10^-19; // Charge on an electron in C
ohm=0.0214; // Resistance per meter
E_0=2*ohm; // Electric field in V/m
// Calculations
v_0=(J)/(n_0*e);
printf("(a)The drift velocity is %0.2e m/s\n",v_0);
mu=v_0/E_0;
printf("(b)The mobility of electrons is %0.2e m^2/V-s\n",mu);
sigma=(n_0*10*e*mu);
printf("(c)Therefore the conductivity is %0.2e /ohm-m",sigma);
// Result
// (a) The drift velocity is 1.78*10^-3 m/s
// (b) Mobility in this case is 4.16*10^-2 m^2/V-s
// (c) Conductivity is 5.61*10^8 1/ohm-m |
63c8e187ff6669aef7033b04c29fc466fa6bb5c8 | 449d555969bfd7befe906877abab098c6e63a0e8 | /104/CH6/EX6.1/6_1.sce | 5c99543b3afda6e02a77489a7fd235490fe7c201 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 684 | sce | 6_1.sce | //stability of open loop systems
s=%s
sys1=syslin('c',20/((s+1)*(s+2)*(s+3)))
disp(sys1,"M(s)=")
printf("sys1 is stable as there are no ploes or zeroes in RHP")
sys2=syslin('c',20*(s+1)/((s-1)*(s^2+2*s+2)))
disp(sys2,"M(s)=")
printf("sys2 is unstable due to pole at s=1")
sys3=syslin('c',20*(s-1)/((s+2)*(s^2+4)))
disp(sys3,"M(s)=")
printf("sys3 is marginally stable or marginally unstable due to s=j2 and s=-j2")
sys4=syslin('c',10/((s+10)*(s^2+4)^2))
disp(sys4,"M(s)=")
printf("sys4 is unstable due to multiple order pole at s=j2 and s=-j2")
sys5=syslin('c',10/(s^4+30*s^3+s^2+10*s))
disp(sys5,"M(s)=")
printf("sys5 is stable if pole at s=0 is placed intentionally") |
4482919afd0ae46dd548f6d45f22318119172c46 | 089894a36ef33cb3d0f697541716c9b6cd8dcc43 | /NLP_Project/test/blog/bow/bow.6_7.tst | f0afe19fad0bbce7f836a777b2f417cc2fe5625d | [] | no_license | mandar15/NLP_Project | 3142cda82d49ba0ea30b580c46bdd0e0348fe3ec | 1dcb70a199a0f7ab8c72825bfd5b8146e75b7ec2 | refs/heads/master | 2020-05-20T13:36:05.842840 | 2013-07-31T06:53:59 | 2013-07-31T06:53:59 | 6,534,406 | 0 | 1 | null | null | null | null | UTF-8 | Scilab | false | false | 6,915 | tst | bow.6_7.tst | 6 9:0.5 17:0.08333333333333333 18:1.0 21:0.1 25:0.14285714285714285 32:0.5 48:1.0 83:0.3333333333333333 185:1.0 221:0.5 242:1.0 368:0.3333333333333333 593:1.0
6 6:0.6666666666666666 17:0.16666666666666666 21:0.2 23:0.5 32:0.5 40:0.125 44:0.016666666666666666 59:1.0 66:1.0 78:0.3333333333333333 82:1.0 107:0.25 157:0.09090909090909091 241:1.0 245:1.0 324:1.0 328:1.0 334:1.0 369:1.0 426:0.3333333333333333 447:0.25 450:0.5 569:1.0 570:1.0 583:1.0 963:1.0 1822:1.0
6 6:0.3333333333333333 8:1.0 17:0.08333333333333333 25:0.14285714285714285 40:0.125 44:0.016666666666666666 47:1.0 78:0.3333333333333333 92:1.0 384:1.0 389:1.0 426:0.3333333333333333 449:1.0 481:1.0 487:1.0 682:1.0 1307:1.0 1353:1.0 1738:1.0
6 4:0.3333333333333333 5:1.0 6:0.3333333333333333 23:0.5 32:1.0 66:1.0 103:0.5 110:0.5 130:0.3333333333333333 184:0.1 185:1.0 265:1.0 336:1.0 348:1.0 368:0.3333333333333333 458:1.0 867:1.0
6 17:0.08333333333333333 21:0.2 32:0.5 48:1.0 69:0.3333333333333333 130:0.3333333333333333 157:0.09090909090909091 210:0.2 232:1.0 272:0.5 324:1.0 412:1.0 516:1.0 531:1.0 745:1.0 746:1.0
6 18:1.0 21:0.1 32:0.5 185:1.0
6 8:1.0 17:0.16666666666666666 21:0.2 23:0.5 25:0.14285714285714285 32:0.5 44:0.016666666666666666 47:1.0 69:0.16666666666666666 179:0.2 221:0.5 247:1.0 266:1.0 398:1.0
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6 6:0.6666666666666666 21:0.1 44:0.03333333333333333 48:1.0 69:0.16666666666666666 70:0.25 83:0.3333333333333333 107:0.25 116:0.16666666666666666 128:0.5 130:0.3333333333333333 185:1.0 194:0.6666666666666666 253:1.0 272:0.5 350:1.0 359:0.5 368:0.3333333333333333 418:1.0 451:1.0 564:1.0 565:1.0 641:1.0 764:1.0 1359:1.0 1499:1.0
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6 6:0.6666666666666666 21:0.1 23:0.5 32:0.5 44:0.016666666666666666 70:0.25 89:1.0 116:0.16666666666666666 148:1.0 253:1.0 299:1.0 451:1.0 454:1.0 467:1.0 570:1.0 1003:1.0 1333:1.0
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6 6:0.6666666666666666 17:0.08333333333333333 21:0.1 23:0.5 25:0.14285714285714285 48:1.0 148:1.0 179:0.2 253:1.0 467:1.0 570:1.0 581:1.0 627:1.0 709:1.0
6 6:0.3333333333333333 9:0.5 17:0.08333333333333333 40:0.125 44:0.016666666666666666 48:2.0 116:0.16666666666666666 414:0.5 668:1.0 899:1.0 1132:1.0 1691:1.0
6 3:0.2857142857142857 6:0.6666666666666666 10:1.0 23:1.0 25:0.2857142857142857 32:0.5 40:0.25 91:1.0 92:2.0 98:0.3333333333333333 116:0.16666666666666666 127:0.3333333333333333 271:0.25 272:0.5 348:1.0 357:1.0 396:1.0 423:1.0 426:0.3333333333333333 449:1.0 458:1.0 479:1.0 569:1.0 730:0.3333333333333333 759:1.0 1132:1.0 1431:1.0 1621:1.0
6 10:1.0 65:0.2 98:0.3333333333333333 393:1.0 615:1.0 857:0.5
6 3:0.42857142857142855 10:2.0 13:0.5 23:0.5 25:0.14285714285714285 40:0.125 48:1.0 70:0.25 91:1.0 92:1.0 98:0.3333333333333333 107:0.25 127:0.3333333333333333 228:1.0 399:1.0 449:1.0 454:1.0 456:1.0 473:1.0 675:1.0 733:1.0 814:1.0 945:1.0 997:1.0 1003:1.0 1132:1.0 1579:1.0
6 3:0.2857142857142857 10:1.0 17:0.16666666666666666 21:0.1 92:2.0 101:1.0 179:0.2 393:1.0 949:1.0 1214:1.0
6 6:0.3333333333333333 10:1.0 92:1.0 286:1.0 1307:1.0 1732:1.0
6 3:0.14285714285714285 59:1.0 418:1.0 803:1.0 901:1.0
6 6:0.3333333333333333 10:4.0 32:0.5 40:0.125 70:0.25 83:0.3333333333333333 107:0.25 123:1.0 130:0.3333333333333333 232:1.0 243:0.5 276:1.0 360:1.0 526:1.0 709:1.0 990:1.0 1680:1.0
6 3:0.14285714285714285
6 3:0.14285714285714285 4:0.3333333333333333 9:0.5 10:2.0 17:0.08333333333333333 66:1.0 98:0.3333333333333333 128:0.5 179:0.2 512:1.0 725:1.0 1235:1.0 1363:1.0 1469:1.0
6 3:0.14285714285714285 4:0.3333333333333333 21:0.1 23:0.5 32:0.5 39:1.0 130:0.3333333333333333 193:0.0625 255:1.0 275:1.0 1363:1.0
6 3:0.14285714285714285 4:0.3333333333333333 5:1.0 6:0.6666666666666666 10:1.0 13:0.5 17:0.08333333333333333 18:1.0 23:0.5 25:0.2857142857142857 34:1.0 46:1.0 48:1.0 89:1.0 130:0.3333333333333333 180:1.0 242:1.0 305:1.0 348:1.0 359:0.5 452:1.0 569:1.0 1054:1.0 1374:1.0 1385:1.0
6 3:0.14285714285714285 6:0.3333333333333333 10:1.0 13:0.5 15:1.0 21:0.2 23:0.5 25:0.14285714285714285 40:0.125 58:0.3333333333333333 92:1.0 103:0.5 104:1.0 123:1.0 128:0.5 194:0.3333333333333333 195:1.0 368:0.3333333333333333 432:1.0 451:1.0 494:1.0 512:1.0 539:1.0 722:1.0 905:1.0 1251:1.0 1364:1.0
|
2b27707528bda8f85eba6a2127f683dec74bfe05 | 717ddeb7e700373742c617a95e25a2376565112c | /806/DEPENDENCIES/111.sci | 13f118fa8a7f5d44299cb6cc0e3d67231a4afe4d | [] | no_license | appucrossroads/Scilab-TBC-Uploads | b7ce9a8665d6253926fa8cc0989cda3c0db8e63d | 1d1c6f68fe7afb15ea12fd38492ec171491f8ce7 | refs/heads/master | 2021-01-22T04:15:15.512674 | 2017-09-19T11:51:56 | 2017-09-19T11:51:56 | 92,444,732 | 0 | 0 | null | 2017-05-25T21:09:20 | 2017-05-25T21:09:19 | null | UTF-8 | Scilab | false | false | 87 | sci | 111.sci | W=20//N(weight of a flour bag)
g=9.81//m/s^2(Acceleration due to gravity on the earth) |
8037ce5a84706fb42b27fa37589a9e59dc3c1635 | 4a1effb7ec08302914dbd9c5e560c61936c1bb99 | /Project 2/Experiments/GFS-GCCL-C/results/GFS-GCCL-C.abalone-10-1tra/result9s0.tst | a9b0991182480a03cbae670f8962a60e6905a47c | [] | no_license | nickgreenquist/Intro_To_Intelligent_Systems | 964cad20de7099b8e5808ddee199e3e3343cf7d5 | 7ad43577b3cbbc0b620740205a14c406d96a2517 | refs/heads/master | 2021-01-20T13:23:23.931062 | 2017-05-04T20:08:05 | 2017-05-04T20:08:05 | 90,484,366 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 2,530 | tst | result9s0.tst | @relation abalone
@attribute Sex{M,F,I}
@attribute Length real[0.075,0.815]
@attribute Diameter real[0.055,0.65]
@attribute Height real[0.0,1.13]
@attribute Whole_weight real[0.002,2.8255]
@attribute Shucked_weight real[0.001,1.488]
@attribute Viscera_weight real[5.0E-4,0.76]
@attribute Shell_weight real[0.0015,1.005]
@attribute Rings{15,7,9,10,8,20,16,19,14,11,12,18,13,5,4,6,21,17,22,1,3,26,23,29,2,27,25,24}
@inputs Sex,Length,Diameter,Height,Whole_weight,Shucked_weight,Viscera_weight,Shell_weight
@outputs Rings
@data
10 8
7 7
19 11
16 10
4 7
10 8
14 9
10 10
15 9
7 9
7 6
7 6
10 10
10 10
10 9
15 9
7 8
8 8
5 6
13 10
10 9
9 9
18 9
8 7
16 11
15 9
14 11
16 10
16 10
10 9
8 8
19 10
13 8
14 9
9 9
13 9
16 9
11 9
9 7
6 6
5 6
5 4
17 9
13 9
11 10
15 10
12 9
16 9
3 7
13 8
17 10
13 10
13 9
11 8
20 9
14 9
14 8
9 9
12 10
12 8
9 6
7 6
9 8
11 8
6 6
13 9
22 9
11 8
11 9
15 9
14 9
10 8
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13 9
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9 8
15 9
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9 9
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11 10
10 10
17 11
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8 8
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12 11
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6 6
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12 8
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5 6
27 11
7 8
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14 10
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20 11
13 11
8 8
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5 6
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13 10
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11 9
8 10
5 6
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10 9
21 10
13 10
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19 11
11 9
14 8
12 8
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15 9
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17 10
10 8
12 8
8 7
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12 8
16 8
18 10
9 6
4 7
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10 9
10 10
9 10
4 6
4 6
6 6
8 8
9 8
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9 9
9 9
10 9
8 9
9 10
12 10
5 9
8 8
8 9
7 9
6 8
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10 9
10 10
11 11
11 10
10 11
9 9
10 11
6 9
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7 7
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15 10
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|
fd6f42326adb2b3d58827f13a86f0ec45e3da3a3 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1664/CH11/EX11.7/Ex11_7.sce | 25dda52b5c22c474c9f3b632b1ac4d8296a1861c | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 280 | sce | Ex11_7.sce |
//Example NO.11.7
//Page No.337
clc;clear;
E0 = (8.854*10^-12);
x = (4.94);//Relative suceptibility.
N = (10^28);//Number of dipoles per unit volume [per m^3].
a = ((E0*x)/N);//Polarizability of the material
printf("\nPolarizability of the material is %3.3e F m^-2",a);
|
f73d05de6611fbeec7095439226f39a0091d7ad7 | 3c47dba28e5d43bda9b77dca3b741855c25d4802 | /microdaq/macros/microdaq_macros/mdaqAOScanStart.sci | 2e77d7fdbc50ccaf1748744590550b1fc2a5e369 | [
"BSD-3-Clause"
] | permissive | microdaq/Scilab | 78dd3b4a891e39ec20ebc4e9b77572fd12c90947 | ce0baa6e6a1b56347c2fda5583fb1ccdb120afaf | refs/heads/master | 2021-09-29T11:55:21.963637 | 2019-10-18T09:47:29 | 2019-10-18T09:47:29 | 35,049,912 | 6 | 3 | BSD-3-Clause | 2019-10-18T09:47:30 | 2015-05-04T17:48:48 | Scilab | UTF-8 | Scilab | false | false | 448 | sci | mdaqAOScanStart.sci | function mdaqAOScanStart(arg1, arg2)
if argn(2) == 0 then
mdaqAOScan()
elseif argn(2) == 1 & type(arg1) == 1 then
mdaqAOScan(arg1)
elseif argn(2) == 1 & type(arg1) == 10 then
mdaqAOScanTrigger(arg1)
mdaqAOScan()
elseif argn(2) == 2 & type(arg1) == 1 & type(arg2) == 10 then
mdaqAOScanTrigger(arg2)
mdaqAOScan(arg1)
else
error("Wrong imput argument");
end
endfunction
|
62afd75267994314792767b99d9295828dcf60d8 | 449d555969bfd7befe906877abab098c6e63a0e8 | /758/CH2/EX2.1/Ex_2_1.sce | 1f60ffd26e66a8e77a2f31d6d3b53954fdc5fb2b | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 999 | sce | Ex_2_1.sce | //Example 2.1
clc;clear;close;
A=1;T=2;
w0=2*%pi/T;
//Calculation of trignometric fourier series co-efficients
a0=A/T*(integrate('-1','t',-T/2,-T/4)+integrate('+1','t',-T/4,T/4)+integrate('-1','t',T/4,T/2));
for n=1:10;
a(1,n)=2*A/T*(integrate('-cos(n*w0*t)','t',-T/2,-T/4)+integrate('+cos(n*w0*t)','t',-T/4,T/4)+integrate('-cos(n*w0*t)','t',T/4,T/2));
b(1,n)=2*A/T*(integrate('-sin(n*w0*t)','t',-T/2,-T/4)+integrate('+sin(n*w0*t)','t',-T/4,T/4)+integrate('-sin(n*w0*t)','t',T/4,T/2));
end
//Displaying fourier coefficients
disp(T,'fundamental period T= ',A,'Assumption: Amplitude A= ');
disp('Tignometric fourier series co-efficients:');
disp(a0,'a0= ');disp(a,'an= ');disp(b,'bn= ');
x=[-A*ones(1,25) A*ones(1,50) -A*ones(1,25)] //Function for ploting purpose
t=-T/2:0.01*T:T/2-0.01;
subplot(311);plot(t,x);
title('x(t)');xlabel('time t');
subplot(312);plot2d3(a);
title('Coefficients an');xlabel('n');
subplot(313);plot2d3(b);
title('Coefficients bn');xlabel('n'); |
6c0cca836e9472e26d055d1f1b0bff88cb2083e0 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3440/CH4/EX4.1/Ex4_1.sce | 5a0cf5b3b0d3c1ab48f4ee50b6d449a55a7f0019 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 304 | sce | Ex4_1.sce | clc
Iep=3//mA
Ieh=0.01//mA
Ich=0.001//mA
Icp=2.99//mA
gamma=Iep/(Iep+Ieh)
disp(gamma,"gamma =")
alphaT=Icp/Iep
disp(alphaT,"alphaT =")
alpha0=gamma*alphaT
disp(alpha0,"alpha0 =")
IE=Iep+Ieh
disp(IE,"IE in mA=")
IC=Icp+Ich
disp(IC,"IC in mA=")
ICBO=IC-alpha0*IE
disp(ICBO,"ICBO in mA")
|
e4d72cf30ab17526ad654bb6647c62ab7d74db4b | 1573c4954e822b3538692bce853eb35e55f1bb3b | /DSP Functions/zpklp2bs/test_9.sce | 88a90742ee65caab23efb8e011b7e4b03e4bcf2b | [] | no_license | shreniknambiar/FOSSEE-DSP-Toolbox | 1f498499c1bb18b626b77ff037905e51eee9b601 | aec8e1cea8d49e75686743bb5b7d814d3ca38801 | refs/heads/master | 2020-12-10T03:28:37.484363 | 2017-06-27T17:47:15 | 2017-06-27T17:47:15 | 95,582,974 | 1 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 835 | sce | test_9.sce | // Test #9 : Valid case
exec('./zpklp2bs.sci',-1);
[z,p,k,n,d]=zpklp2bs([2 4],[8 11],7*%i,0.21,[0.54,0.8]);
disp(d);
disp(n);
disp(k);
disp(p);
disp(z);
//
//Scilab Output
//d = 1. 0.9661716 0.7419182
//n = 0.7419182 0.9661716 1.
//k = 0.3853727i
//p = -0.4659083 + 0.6803740i
// -0.4659083 - 0.6803740i
// -0.4709319 + 0.6901569i
// -0.4709319 - 0.6901569i
//z= -0.3839860 + 0.4869675i
// -0.3839860 - 0.4869675i
// -0.4448192 + 0.6372376i
// - 0.4448192 - 0.6372376i
//
//Matlab Output
//z=-0.3840 + 0.4870i
// -0.3840 - 0.4870i
// -0.4448 + 0.6372i
// -0.4448 - 0.6372i
//p=-0.4659 + 0.6804i
// -0.4659 - 0.6804i
// -0.4709 + 0.6902i
// -0.4709 - 0.6902i
//k=0.0000 + 0.3854i
//n= 0.7419 0.9662 1.0000
//d= 1.0000 0.9662 0.7419
|
79b1ff47ffefaae355911c74ff172a1d36dcdaec | 34afc14c4842072fac8feea2335591b4621718d4 | /ASSIGNMENT2/FourFundamentalSubspaces.sce | c787b7a4dea245d0f2ded39b5a226601027e7b92 | [] | no_license | SnehaJayaraman/LA | 8242edf4583165ace4954bfdd407ed4a4658d963 | 13295ffd7917410df0b86896f0243f1d940a271c | refs/heads/master | 2020-12-27T02:46:06.112219 | 2020-04-30T11:59:21 | 2020-04-30T11:59:21 | 237,738,119 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 912 | sce | FourFundamentalSubspaces.sce | //FOUR FUNDAMENTAL SUBSPACES
//Coefficient matrix A
disp('Enter the matrix A');
a11=input("Enter a11: ");
a12=input("Enter a12: ");
a13=input("Enter a13: ");
a21=input("Enter a21: ");
a22=input("Enter a22: ");
a23=input("Enter a23: ");
a31=input("Enter a31: ");
a32=input("Enter a32: ");
a33=input("Enter a33: ");
A=[a11,a12,a13;a21,a22,a23;a31,a32,a33];
a=A;
disp(A,"A");
//Dimensions of A
[m,n]=size(A);
disp(m,'m=');
disp(n,'n=');
//rref computes the row Echelon form of matrix A by LU transformations
[v,pivot]=rref(A);
disp(rref(A));
disp(v);
r=length(pivot);
disp(r,'rank=');
ColumnSpace=A(:,pivot);
disp(ColumnSpace,'Column Space=');
//kernal computes the null space of the given matrix
NullSpace=kernel(A);
disp(NullSpace,'Null Space=');
RowSpace=A(1:r,:)';
disp(RowSpace,'Row Space=');
LeftNullSpace=kernel(A');
disp(LeftNullSpace,'Left Null Space=');
|
1ec33f51a6b933f01d87b07d4d11eb1f12063aea | 449d555969bfd7befe906877abab098c6e63a0e8 | /3802/CH3/EX3.4/Ex3_4.sce | c627a69d7d35cf6d3c316b47e59d0c1b4e6c6ad3 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 570 | sce | Ex3_4.sce | //Book Name:Fundamentals of Electrical Engineering
//Author:Rajendra Prasad
//Publisher: PHI Learning Private Limited
//Edition:Third ,2014
//Ex3_4(b).sce
//case(b)
clc;
clear;
R=1;
L=0.1;
C=1;
I=10;
s=0; //complex frequency
V=(10*s)/(s^2+s+10); //voltage across the parallel circuit
iG=V*R;
printf("\n Current through conductance=%d A \n",iG)
iC=V*C;
printf("\n Current through capacitance=%d A \n",iC)
iL=100/(s^2+s+10); //simplified form of V/Ls=(10s/(s^2+s+10))/(0.1s)
printf("\n Current through inductance=%d A \n",iL)
|
0af57d8c0bd6ba00be1ffa1973b0307ef0e92d0d | 7a5b23c26ee1b242222b7c0faa03acd15ba397b3 | /RecPsi08.sci | 89c3ce7b26b64f26f964daa03129719a4ae3a1b2 | [] | no_license | ihorgo/neutronholography | 3f8c999d2b7c5d87d3258c311a7828aadf7c3975 | d62e07a662eb36f063d56134406269ae2336ad64 | refs/heads/master | 2021-01-10T10:19:15.095235 | 2009-03-20T14:30:58 | 2009-03-20T14:30:58 | 53,721,129 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 530 | sci | RecPsi08.sci | function RecPsi08()
h=sumpsi08();
h.h1=Four2DBgHolo(h.h1,4,0);
h.h2=Four2DBgHolo(h.h2,4,0);
h.h3=Four2DBgHolo(h.h3,1,0);
atsarr=MkRecArray(3,1.18/8,5*1.18);
HPsi082=ReconstHoloArb(atsarr,h.h2);
save('c:\mainsci\macros\psi08\recpsi08b.dat',HPsi082);
HPsi083=ReconstHoloArb(atsarr,h.h3);
save('c:\mainsci\macros\psi08\recpsi08b.dat',HPsi083,HPsi082);
HPsi081=ReconstHoloArb(atsarr,h.h1);
save('c:\mainsci\macros\psi08\recpsi08b.dat',HPsi081,HPsi082,HPsi083);
endfunction
|
557b3178d2c61df044d4b4788503f4e8b5645f85 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3821/CH7/EX7.12/Example7_12.sce | f2c38953b4ed8c7cacb5769aa872900be07d16f7 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 603 | sce | Example7_12.sce | ///Chapter No 7 Fluid Mechanics
///Example 7.12 Page No 122
/// Find Intensity of pressure of water
///Input data
clc;
clear;
Z1=1.5; //open tank contain water in m
Z2=2.5; //oil of specific gravity for depth in m
S=0.9; //oil of specific gravity
rho1=1000; //density of water in Kg/m**3
rho2=S*10^3; //density of oil in Kg/m**3
g=9.81; //gravity
///calculation
P=rho1*g*Z1+rho2*g*Z2; //Intensity of pressure in kPa
///output
printf('intensity of pressure=%f N/m^2 \n',P);
|
a672a61bf2c2d046c50c633048b29a901c33dfc9 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1364/CH2/EX2.3.1/2_3_1.sce | a71bd06e890ef43fb6c70b7622d3ea7f97f5f9bb | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 233 | sce | 2_3_1.sce | clc
//initialisation of variables
sw= 62.3 //lbf/ft^3
d= 288 //ft
p= 1 //lbf/in^2
//CALCULATIONS
P= sw*d/144
D= p*144/sw
//RESULTS
printf (' pressure at a depth of 288 ft= %.1f lbf/in^2',P)
printf (' \n depth= %.2f ft',D)
|
1204369e010ac1c542f948edead460c52ecd8e13 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1859/CH7/EX7.22/exa_7_22.sce | 6ec4be28b768ea83b1ed351ec5175e29702d98a1 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 510 | sce | exa_7_22.sce | // Exa 7.22
clc;
clear;
close;
// Given data
R2= 834;// in Ω
R3= 100;// in Ω
C2= 0.124;// in µF
C2= C2*10^-6;// in F
C4= 0.1;// in µF
C4= C4*10^-6;// in F
L1= R2*R3*C4;// in H
f= 2;// in kHz
f= f*10^3;// in kHz
disp(L1*10^3,"The value of L1 in mH is : ")
R1= R3*C4/C2;// in Ω
disp(R1,"The value of R1 in Ω is : ")
Z= R1+%i*2*%pi*f*L1;// in Ω
disp(abs(Z),"The magnitude of effective impedence in Ω is : ")
disp(atand(imag(Z),real(Z)),"The angle of effective impedence in ° is : ")
|
612114b708f53189941ee341042b971113d44a84 | 27be2dd7284eb8d71ea19e6b077993d7ff6afd16 | /circulo.sce | 4f8f3f95682c9d4dbed5ec632e2fab850c0bee5f | [] | no_license | mtxslv/numericalcomputation | 3b0ec7d1183c03c91c145de0fb1db9fff0a75e61 | 15ce639e5e370fb21fb1ce9878004270ee814e73 | refs/heads/master | 2020-03-26T06:10:14.116677 | 2019-11-14T11:41:38 | 2019-11-14T11:41:38 | 144,592,787 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 1,159 | sce | circulo.sce | // Círculo, por Mateus de Assis
/*
Aqui desenha-se tão somente um arco circular (superior ou
inferior)
Para se utilizar a função, deve-se definir um raio (positivo
ou negativo) e se o arco a ser desenhado é positivo (flag = 1) ou
não(fag = -1). A chamada da função segue no exemplo:
--> r = 1
-->flag = 1
-->[x,y] = circle(r,flag)
-->flag = -1
Também pode-se, caso preferência, plotar o resultado obtido;
-->plot(x,y)
*/
function [xsc,ysc] = circle(r, flag)
r = abs(r);
xsc = -r:.01:r;
for i = 1: length(xsc)
ysc(i) = sqrt(r*r-xsc(i)*xsc(i));
end
if flag == -1 then
ysc = -ysc
elseif flag == 1 then
ysc = ysc;
end
endfunction
// Atenção! Sendo x um vetor, a chamada x*x significa multiplicação
// vetorial e poderá resultar no erro de incompatibilidade dimensional
// (!error 6). Assim, dado que queremos elevar cada coordenada a uma
// dada potência, utilizaremos um laço for nas linhas 4~>6. Para a
// manipulaçao vetorial, vale saber que o índice começa em 1 e acaba na
// quantidade de termos existente.
|
ce296da51d2f75db3fa6aa982f3ffba09b1aebb1 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2837/CH22/EX22.6/Ex22_6.sce | 7ddffd492a0e5c44c49f15532ac5391e14b44ec5 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 171 | sce | Ex22_6.sce | clc
clear
//Initalization of variables
loss=80000 //Btu/lb
t=560 //R
//calculations
ratio=t/68
power=loss/(ratio*2544)
//results
printf("Power = %.2f hp",power)
|
d7786114ad7f3020ae5d3afa74d93a201cc30656 | 4bbc2bd7e905b75d38d36d8eefdf3e34ba805727 | /ee_scicoslab/utils/unlink_dll.sce | afaed434c6a26768e43250c7cd7091e9f582fcd8 | [] | no_license | mannychang/erika2_Scicos-FLEX | 397be88001bdef59c0515652a365dbd645d60240 | 12bb5aa162fa6b6fd6601e0dacc972d7b5f508ba | refs/heads/master | 2021-02-08T17:01:20.857172 | 2012-07-10T12:18:28 | 2012-07-10T12:18:28 | 244,174,890 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 3,274 | sce | unlink_dll.sce | // ***********************************************************
// * ScicosLab Pack Installer *
// * Requires: Scicoslab v4.4.1 *
// * Built/Tested On: XP, Windows 7 *
// * Description: Close link with the DLLs *
// * Copyright (c) 2012 Evidence Srl *
// * Author: Dario Di Stefano, Evidence *
// ***********************************************************
// This script is used to unlink DLLs
unlink_err = 0;
//% SMCUBE unlinking
bfunc = 'smcube_block';
[test,ilib] = c_link(bfunc);
if (test)
ulink(ilib);
if( c_link(bfunc) )
disp('Error: Unable to remove '+bfunc+' DLL link!');
unlink_err = -1;
else
disp('Removing DLL link...Done!');
end
end
//% Sources unlinking
bfunc = 'rt_sinus';
[test,ilib] = c_link(bfunc);
if (test)
ulink(ilib);
if( c_link(bfunc) )
disp('Error: Unable to remove '+bfunc+' DLL link!');
unlink_err = -1;
else
disp('Removing DLL link...Done!');
end
end
//% GW unlinking
bfunc = 'serial_gateway_block';
[test,ilib] = c_link(bfunc);
if (test)
ulink(ilib);
if( c_link(bfunc) )
disp('Error: Unable to remove '+bfunc+' DLL link!');
unlink_err = -1;
else
disp('Removing DLL link...Done!');
end
end
//% RS232 unlinking
bfunc = 'rs232_config';
[test,ilib] = c_link(bfunc);
if (test)
ulink(ilib);
if( c_link(bfunc) )
disp('Error: Unable to remove '+bfunc+' DLL link!');
unlink_err = -1;
else
disp('Removing DLL link...Done!');
end
end
//% MCP2200 unlinking
bfunc = 'mcp2200_block';
[test,ilib] = c_link(bfunc);
if (test)
ulink(ilib);
if( c_link(bfunc) )
disp('Error: Unable to remove '+bfunc+' DLL link!');
unlink_err = -1;
else
disp('Removing DLL link...Done!');
end
end
//% Rollers GUI unlinking
bfunc = 'EvidenceRollers';
[test,ilib] = c_link(bfunc);
if (test)
ulink(ilib);
if( c_link(bfunc) )
disp('Error: Unable to remove '+bfunc+' DLL link!');
unlink_err = -1;
else
disp('Removing DLL link...Done!');
end
end
//% UDP unlinking
bfunc = 'udp_config';
[test,ilib] = c_link(bfunc);
if (test)
ulink(ilib);
if( c_link(bfunc) )
disp('Error: Unable to remove '+bfunc+' DLL link!');
unlink_err = -1;
else
disp('Removing DLL link...Done!');
end
end
//% Native integer unlinking
bfunc = 'nat_gainblk_i32n';
[test,ilib] = c_link(bfunc);
if (test)
ulink(ilib);
if( c_link(bfunc) )
disp('Error: Unable to remove '+bfunc+' DLL link!');
unlink_err = -1;
else
disp('Removing DLL link...Done!');
end
end
//% iSIm unlinking
bfunc = 'flex_blocks';
[test,ilib] = c_link(bfunc);
if (test)
ulink(ilib);
if( c_link(bfunc) )
disp('Error: Unable to remove '+bfunc+' DLL link!');
unlink_err = -1;
else
disp('Removing DLL link...Done!');
end
end
//% Flex SIm unlinking
bfunc = 'flex_adcin';
[test,ilib] = c_link(bfunc);
if (test)
ulink(ilib);
if( c_link(bfunc) )
disp('Error: Unable to remove '+bfunc+' DLL link!');
unlink_err = -1;
else
disp('Removing DLL link...Done!');
end
end
|
74ef6d0e4c6ec6a74f83788f401a3e95a4a80daa | 276dd1422a7890d6657101fcc9cbccc4ae7e8ce4 | /tags/2010/branches/capstone/php/knights/legacytests/test8.tst | 998c9414db418961537d4357f0264bbc455e158a | [] | no_license | valdas/knit | 4a0adef8bfe426506e55ffcc3a297dfa4dc2e903 | ccbdf3c975061ba0875e881e2f94c8432d7a16cb | refs/heads/master | 2021-01-10T02:08:06.358327 | 2012-01-16T17:05:01 | 2012-01-16T17:05:01 | 43,171,119 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 658 | tst | test8.tst | <?php
include ('knights.php');
$array=newBoard();
$array[1][0]=1;
$array[2][7]=2;
$array[5][5]=3;
$array[5][4]=4;
$array[4][0]=5;
$array[5][2]=6;
$array[2][3]=7;
$array[0][1]=8;
$array[3][4]=9;
$array[2][7]=0;
$array[6][5]=1;
$array[7][3]=2;
$array[4][0]=3;
$array[1][3]=4;
$array[2][2]=5;
$array[4][3]=6;
$array[5][1]=7;
$array[4][2]=8;
echo numOfMoves($array, 1,0)."\n";
echo numOfMoves($array, 2,3)."\n";
echo numOfMoves($array, 2,5)."\n";
echo numOfMoves($array, 0,2)."\n";
echo numOfMoves($array, 4,6)."\n";
echo numOfMoves($array, 3,2)."\n";
echo numOfMoves($array, 5,4)."\n";
echo numOfMoves($array, 2,6)."\n";
echo numOfMoves($array, 3,4)."\n";
?>
|
74fd6867f662c43d32cea60c6d77465f82fc2998 | 449d555969bfd7befe906877abab098c6e63a0e8 | /758/CH6/EX6.12/Ex_6_12.sce | a08eeae844982127d34fe698450957156c1079ac | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 185 | sce | Ex_6_12.sce | //Example 6.12
clc;clear;close;
N=4;
n=0:N-1;
x=cos(%pi/4*n);
//Calculation of DFT
X=fft(x,-1);
X=clean(X);
disp(x,'Given Sequence is x(n): ');
disp(X,'DFT of the Sequence is X(k): '); |
7ab1ab1ece1f49e728bed5c4a97547c3ced7c2aa | 2391eec552dac38c05f9c53bae1ec612f2871f51 | /Lab 5/input_section.sce | 715180341d40833e3592fe25146c7e44c6e4fc63 | [] | no_license | Zebz13/EEE-S7-Power-Systems | fe9e00e27242fa51650bf87e46c504a716a22edf | 1fc9ab29e96a5d5f8a23d629364cadf2c70c4a40 | refs/heads/main | 2023-01-10T03:53:34.295752 | 2020-11-08T17:03:45 | 2020-11-08T17:03:45 | 309,158,346 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 2,637 | sce | input_section.sce | //start
clc ;
clear ;
//line inputs
linedata = input("Enter line data:")
Yshunt=input("Enter shunt admittance:")
// line data extraction
from= linedata(: ,1)
to= linedata(: ,2)
imp= linedata(: ,3)+ linedata(: ,4)*%i
half_adm= -linedata(: ,5)*%i
bus_no= max(max(from,to));
Ybus= zeros(bus_no,bus_no);
//Ybus building
for i=1:length(from)
m=from(i);
n=to(i);
Ybus(m,m)=Ybus(m,m) +1/imp(i)+ (half_adm(i)/2) ;
Ybus(n,n)=Ybus(n,n) +1/imp(i)+ (half_adm(i)/2) ;
Ybus(m,n)= -1/ imp(i);
Ybus(n,m)=Ybus(m,n);
end
//Adding shunt to diagonal elements
for i=1:bus_no
Ybus(i,i)=Ybus(i,i)+Yshunt(i)
end
//display Ybus
disp("Ybus Admittance is:")
disp(Ybus)
//Input and extract bus data. Taps are avoided
busdata = input("Enter bus data:")
bus=busdata(:,1)
typ = busdata(:,2)
qmin = busdata(:,9)
qmax = busdata(:,10)
p= busdata (:,5)-busdata(:,7)
q= busdata(:,6)-busdata(:,8)
v= busdata(:,3).*(cosd(busdata(:,4))+ %i*sind(busdata(:,4)));
//parameter setting
alpha=0.25 //default. Can take alpha as input() if needed
count =0;
err =1;
vn(1)=v(1);
vold =v(1);
//gauss seidal method
while abs(err)>5*10^(-5)
//while count<23 //testing
for i =2:bus_no
sumyv =0;
for j=1:bus_no
//if i~=j
sumyv = sumyv +Ybus(i,j)*v(j);
//end
end
if typ(i)==2
q(i)=-imag(conj(v(i)*sumyv));
if q(i)<qmin (i) | q(n)>qmax (i)
vn(i) =(1/Ybus(i,i)) *(((p(i)-%i*q(i))/(conj(v(i)))) -(sumyv-Ybus(i,i)*v(i)));
vold(i)=v(i);
v(i)=vn(i);
typ(i)=3
if q(i)<qmin (i)
q(i)= qmin (i);
else
q(i)= qmax (i);
end
else
vn(i) =(1/ Ybus(i,i)) *((( p(i)-%i*q(i))/( conj (v(i)))) -(sumyv -Ybus(i,i)*v(i)));
ang = atan ( imag (vn(i)),real (vn(i)));
vn(i)= abs (v(i))*( cos ( ang )+%i* sin (ang));
vold (i)=v(i);
v(i)=vn(i);
end
elseif typ (i)==3
vn(i) =(1/ Ybus(i,i)) *((( p(i)-%i*q(i))/( conj (v(i)))) -(sumyv -Ybus(i,i)*v(i)));
vold (i)=v(i);
v(i)=vn(i);
end
end
err = max(abs(abs(v)-abs(vold)));
count = count+1;
for i=2:bus_no
if (err>5*10^(-6) & typ(i)==3)
v(i)= vold(i)+ alpha*(v(i)-vold(i));
end
end
end
//disp output
disp("Voltage rectangular:",v)
volt=abs(v)
angle=atan( imag(v),real(v))*(180/%pi);
disp("Voltage:",volt)
disp("Angle:",angle)
printf("Gauss Seidal Load Flow converged after %i iteration.", count)
|
cb067409db6a6a380af0a03323690fc1779d2ad7 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3651/CH2/EX2.10/Ex2_10.sce | 98cdba88718675840cf7cee6ad53db0fafb7d871 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 245 | sce | Ex2_10.sce | clc
//Variable declaration
lamda=0.58
theta=9.5*%pi/180
n=1
d=0.5 //d200=a/sqrt(2**2+0**2+0**2)=0.5a
//Calculations
a=n*lamda/(2*d*sin(theta)) //2*d*sin(theta)=n*lamda
//Result
printf('a =%0.3f Angstorms\n',(a))
|
5714390b2eb15b202795613c42dbd827bc149c39 | 449d555969bfd7befe906877abab098c6e63a0e8 | /564/DEPENDENCIES/18_2data.sci | c7d898878a60d4f0d8b2c1a1ab77d3a6b7be710f | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 99 | sci | 18_2data.sci | a=200;//in mm
b=150;//in mm
ta=2.5;//in mm
tb=2;//in mm
T=1000;//in N.mm
G=25000;//given in N/mm^2
|
227fd6cacb20d515e95f8acc3b4784350bfa382c | 449d555969bfd7befe906877abab098c6e63a0e8 | /1967/CH8/EX8.8/8_8.sce | 44fbed03adc4be0815b8592a4327d9266eeb3a59 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 219 | sce | 8_8.sce | clc
//initialisation of variables
clear
Cp= 8.21*0.0413 //lit-atm deg^-1 mole^-1
V= 8.64*28*10^-3 //lit
r= 1.199
//CALCULATIONS
u= V*(r-1)/Cp
//RESULTS
printf ('Joule-thomson coefficient = %.3f deg atm^-1',u)
|
ca586a169a652cf26a2e7ae2d0cdb95640310090 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1871/CH2/EX2.2/Ch02Ex2.sce | 033bf2c728114d842f77f511e1ec1bc0c159077b | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 645 | sce | Ch02Ex2.sce | // Scilab code Ex2.2: Pg:79(2008)
clc;clear;
amu = 1.67e-027; // Mass of a nucleon, kg
E = 8e+004; // Electric field in a Bainbridge mass spectrograph, V/m
B = 0.55; // Magnetic induction, Wb per square meter
M1 = 20; // Atomic mass of first isotope of neon, amu
M2 = 22; // Atomic mass of second isotope of neon, amu
q = 1.602e-019; // Charge of the ion, coulomb
delta_x = 2*E*(M2-M1)*amu/(q*B^2); // Separation between the lines, mm
printf("\nLinear separation between the lines on a photographic plates = %4.2f m", delta_x);
// Result
// Linear separation between the lines on a photographic plates= 0.01 m |
fd4eb3f498ddd0f051e241120d5356d432fde8b3 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1427/CH22/EX22.14/22_14.sce | f5aae37a6f8778b926a3f6ed4d35b2ee1bde482f | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 317 | sce | 22_14.sce | //ques-22.14
//To show that KBr has a FCC structure
clc
den=2.73;//density (in g/mL)
a=654*10^-10;//edge length (in cm)
Na=6.023*10^23;//(in /mol)
m1=39;//molar mass of K (in g/mol)
m2=80;//molar mass of Br (in g/mol)
M=m1+m2;
z=(den*Na*a^3)/M;
printf("As z = %.0f, therefore KBr has a FCC structure.",z);
|
8caa73786952647472f9d2364c8e390b6ddfd281 | cb4516492965c75d14c9d499c387d3cd0b883bc4 | /X3/Section 7 -Tools Environmental Effects/7.1 Joachim Diepstraten, Mike Eißele/arithmetic_complex.tst | 86dbfdccc053f1c9d66589facd846a16213dafee | [
"LicenseRef-scancode-warranty-disclaimer"
] | no_license | nedma/ShaderX | 48367dfc1153e4e6ad6bb5c205777285b06376c5 | 0503dd6ae16f3d288f2e27b0f93ebdfbaf1f4436 | refs/heads/master | 2020-04-08T01:51:11.173038 | 2018-11-24T08:37:42 | 2018-11-24T08:37:42 | 158,911,553 | 0 | 3 | null | null | null | null | UTF-8 | Scilab | false | false | 144 | tst | arithmetic_complex.tst | \shader\pow.psh
\shader\pow_4x.psh
\shader\nrm.psh
\shader\nrm_4x.psh
\shader\simulated_nrm.psh
\shader\sincos.psh
\shader\sincos_pp.psh
|
91bcfe05e02a552f7bd6378f01015377184fde1c | 449d555969bfd7befe906877abab098c6e63a0e8 | /1970/CH18/EX18.4/CH18Exa4.sce | c25908a98d2a298feda3d8d1390f858e83ad5b08 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 5,543 | sce | CH18Exa4.sce | // Scilab code Exa18.4 : : Page-764 (2011)
clc;clear;
p = rand(1,3); // proton
pi_minus = rand(1,3); // pi minus meson
pi_plus = rand(1,3); // pi plus meson
pi_0 = rand(1,3); // pi zero meson
n = rand(1,3); // neutron
lambda_0 = rand(1,3); // lambda zero hyperon
K_0 = rand(1,3); // k zero meson
K_plus = rand(1,3); // k plus meson
K_0_bar = rand(1,3); // anti particle of k zero
sigma_plus = rand(1,3); // sigma hyperon
// Now in the following steps we allocated the value of charge(Q),baryon number(B) and strangeness number (S)
p(1,1) = 1;
p(1,2) = 1;
p(1,3) = 0;
pi_minus(1,1) = -1;
pi_minus(1,2) = 0;
pi_minus(1,3) = 0;
pi_plus(1,1) = 1;
pi_plus(1,2) = 0;
pi_plus(1,3) = 0;
n(1,1) = 0;
n(1,2) = 1;
n(1,3) = 0;
lambda_0(1,1) = 0;
lambda_0(1,2) = 1;
lambda_0(1,3) = -1;
K_0(1,1) =0 ;
K_0(1,2) = 0 ;
K_0(1,3) = 1;
K_plus(1,1) = 1;
K_plus(1,2) = 0 ;
K_plus(1,3) = 1;
sigma_plus(1,1) = 1;
sigma_plus(1,2) = 1;
sigma_plus(1,3) = -1;
K_0_bar(1,1) = 0;
K_0_bar(1,2) = 0;
K_0_bar(1,3) = -1;
pi_0(1,1) = 0;
pi_0(1,2) = 0;
pi_0(1,3) = 0;
j = 0;
k = 0;
printf("\n Reaction I \n pi_plus + n ......> lambda_0 + K_plus")
for i = 1:3
if pi_plus(1,i)+n(1,i) == lambda_0(1,i)+K_plus(1,i) then
j = j+1;
else
printf("\n Reaction I is forbidden")
if i == 1 then
printf("\n Delta Q is not zero")
elseif i == 2 then
printf("\n Delta B is not zero")
elseif i == 3 then
printf("\n Delta S is not zero")
end
end
end
if j==3 then
printf("\n Reaction I is allowed ");
printf("\n Delta Q is zero \n Delta B is zero \n Delta S is zero")
end
printf("\n Reaction II \n pi_plus + n ......> K_0 + K_plus")
j = 0;
for i = 1:3
if pi_plus(1,i)+n(1,i) == K_0(1,i)+K_plus(1,i) then
j = j+1;
else
printf("\n Reaction II is forbidden")
if i == 1 then
printf("\n Delta Q is not zero")
elseif i == 2 then
printf("\n Delta B is not zero")
elseif i == 3 then
printf("\n Delta S is not zero")
end
end
end
if j==3 then
printf("\n Reaction II is allowed ");
printf("\n Delta Q is zero \n Delta B is zero \n Delta S is zero")
end
j = 0;
printf("\n Reaction III \n pi_plus + n ......> K_0_bar + sumison_plus")
for i = 1:3
if pi_plus(1,i)+n(1,i) == K_0_bar(1,i)+sigma_plus(1,i) then
j = j+1;
else
printf("\n Reaction III is forbidden")
if i == 1 then
printf("\n Delta Q is not zero")
elseif i == 2 then
printf("\n Delta B is not zero")
elseif i == 3 then
printf("\n Delta S is not zero")
end
end
end
if j==3 then
printf("\n Reaction III is allowed ");
printf("\n Delta Q is zero \n Delta B is zero \n Delta S is zero")
end
j = 0;
printf("\n Reaction IV \n pi_plus + n ......> pi_minus + p")
for i = 1:3
if pi_plus(1,i)+n(1,i) == pi_minus(1,i)+p(1,i) then
j = j+1;
else
printf("\n Reaction IV is forbidden")
if i == 1 then
printf("\n Delta Q is not zero")
elseif i == 2 then
printf("\n Delta B is not zero")
elseif i == 3 then
printf("\n Delta S is not zero")
end
end
end
if j==3 then
printf("\n Reaction IV is allowed ");
printf("\n Delta Q is zero \n Delta B is zero \n Delta S is zero")
end
j = 0;
printf("\n Reaction V \n pi_minus + p ......> lambda_0 + K_0")
for i = 1:3
if pi_minus(1,i)+p(1,i) == lambda_0(1,i)+K_0(1,i) then
j = j+1;
else
printf("\n Reaction V is forbidden")
if i == 1 then
printf("\n Delta Q is not zero")
elseif i == 2 then
printf("\n Delta B is not zero")
elseif i == 3 then
printf("\n Delta S is not zero")
end
end
end
if j==3 then
printf("\n Reaction V is allowed ");
printf("\n Delta Q is zero \n Delta B is zero \n Delta S is zero")
end
j = 0;
printf("\n Reaction VI \n pi_plus + n ......> lambda_0 + K_plus")
for i = 1:3
if pi_minus(1,i)+p(1,i) == pi_0(1,i)+lambda_0(1,i) then
j = j+1;
else
printf("\n Reaction VI is forbidden")
if i == 1 then
printf("\n Delta Q is not zero");
elseif i == 2 then
printf("\n Delta B is not zero")
elseif i == 3 then
printf("\n Delta S is not zero")
end
end
end
if j==3 then
printf("\n Reaction VI is allowed ");
printf("\n Delta Q is zero \n Delta B is zero \n Delta S is zero");
end
// Result
// Reaction I
// pi_plus + n ......> lambda_0 + K_plus
// Reaction I is allowed
// Delta Q is zero
// Delta B is zero
// Delta S is zero
// Reaction II
// pi_plus + n ......> K_0 + K_plus
// Reaction II is forbidden
// Delta B is not zero
// Reaction II is forbidden
// Delta S is not zero
// Reaction III
// pi_plus + n ......> K_0_bar + sumison_plus
// Reaction III is forbidden
// Delta S is not zero
// Reaction IV
// pi_plus + n ......> pi_minus + p
// Reaction IV is forbidden
// Delta Q is not zero
// Reaction V
// pi_minus + p ......> lambda_0 + K_0
// Reaction V is allowed
// Delta Q is zero
// Delta B is zero
// Delta S is zero
// Reaction VI
// pi_plus + n ......> lambda_0 + K_plus
// Reaction VI is forbidden
// Delta S is not zero |
157e1ba147ccb4a79a0013172a07cd47f94b704d | 449d555969bfd7befe906877abab098c6e63a0e8 | /83/CH11/EX11.6/example_11_6.sce | 125aac5862e1edd4a4e3ffac5cd8d07e71dc4e8f | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 2,844 | sce | example_11_6.sce | //Chapter 11
//Example 11.6
//page 420
//To find bus voltages and currents
clc;clear;
v_pf=1; //prefault voltage
//according to the fig.11.26
Y1dd=((%i*0.2)^-1)+((%i*0.0805)^-1);
Y1fg=-(%i*0.0805)^-1;
Y1de=Y1fg;
Y1ff=((%i*0.0805)^-1)+((%i*0.164)^-1);
Y1ee=Y1ff;
Y1ef=-(%i*0.164)^-1;
Y1gg=((%i*0.0805)^-1)+((%i*0.345)^-1)+((%i*0.69)^-1);
Y1df=0;
Y1dg=0;
Y1ed=Y1de;
Y1eg=0;
Y1fd=0;
Y1fe=Y1ef;
Y1gd=0;
Y1ge=0;
Y1gf=Y1fg;
printf('\nY-Bus and Z-Bus matrix can be written as:\n')
Y1_bus=[Y1dd Y1de Y1df Y1dg;Y1ed Y1ee Y1ef Y1eg;Y1fd Y1fe Y1ff Y1fg;Y1gd Y1ge Y1gf Y1gg];
Y2_bus=Y1_bus;
printf('\nY1_bus=');disp(Y1_bus);
printf('\nY2_bus=');disp(Y2_bus);
Y0dd=(%i*1.608)^-1;Y0de=0;Y0df=0;Y0dg=0;
Y0ed=0;Y0ee=((%i*0.0805)^-1)+((%i*0.494)^-1);Y0ef=-(%i*0.494)^-1;Y0eg=0;
Y0fd=0;Y0fe=Y0ef;Y0ff=Y0ee;Y0fg=0;
Y0gd=0;Y0de=0;Y0gf=0;Y0gg=(%i*1.712)^-1;
Y0_bus=[Y0dd Y0de Y0df Y0dg;Y0ed Y0ee Y0ef Y0eg;Y0fd Y0fe Y0ff Y0fg;Y0gd Y0de Y0gf Y0gg];
printf('\nY0_bus=');disp(Y0_bus);
//finding Z-bus matrix
Z1_bus=inv(Y1_bus);
Z2_bus=inv(Y2_bus);
Z0_bus=inv(Y0_bus);
printf('\n\nZ1bus=');disp(Z1_bus);
printf('\nZ2_bus=');disp(Z2_bus);
printf('\nZ0_bus=');disp(Z0_bus);
//to find fault current with LG fault on bus e ---case(i)
If_e=(3*v_pf)/(Z1_bus(2,2)+Z2_bus(2,2)+Z0_bus(2,2));
printf('\n\n\nFault current with LG fault on bus e is If_e= -j%0.5f\n',abs(imag(If_e)));
//to find fault current with LG fault on bus f ---case(ii)
If_f=(3*v_pf)/(Z1_bus(3,3)+Z2_bus(3,3)+Z0_bus(3,3));
printf('Fault current with LG fault on bus f is If_f= -j%0.5f\n',abs(imag(If_f)));
//to find bus voltages and line currents in case(i)
printf('\n\n\nBus voltages and currents are given below:\n\n');
Vf1_d=1-(Z1_bus(1,2)*If_e/3);
Vf1_e=1-(Z1_bus(2,2)*If_e/3);
Vf1_f=1-(Z1_bus(3,2)*If_e/3);
Vf1_g=1-(Z1_bus(4,2)*If_e/3);
disp('Vf1_d=');disp(Vf1_d);
disp('Vf1_e=');disp(Vf1_e);
disp('Vf1_f=');disp(Vf1_f);
disp('Vf1_g=');disp(Vf1_g);
printf('\n\n\n');
Vf2_d=-(Z2_bus(1,2)*If_e/3);
Vf2_e=-(Z2_bus(2,2)*If_e/3);
Vf2_f=-(Z2_bus(3,2)*If_e/3);
Vf2_g=-(Z2_bus(4,2)*If_e/3);
disp('Vf2_d=');disp(Vf2_d);
disp('Vf2_e=');disp(Vf2_e);
disp('Vf2_f=');disp(Vf2_f);
disp('Vf2_g=');disp(Vf2_g);
printf('\n\n\n');
Vf0_d=-(Z0_bus(1,2)*If_e/3);
Vf0_e=-(Z0_bus(2,2)*If_e/3);
Vf0_f=-(Z0_bus(3,2)*If_e/3);
Vf0_g=-(Z0_bus(4,2)*If_e/3);
disp('Vf0_d=');disp(Vf0_d);
disp('Vf0_e=');disp(Vf0_e);
disp('Vf0_f=');disp(Vf0_f);
disp('Vf0_g=');disp(Vf0_g);
printf('\n\n\n');
If1_fe=-Y1fe*(Vf1_f-Vf1_e);disp('If1_fe=');disp(If1_fe);
If1_de=-Y1de*(Vf1_d-Vf1_e);disp('If1_de=');disp(If1_de);
Ia1=If1_fe+If1_de;disp('Ia1=');disp(Ia1);
printf('\n\n\n');
If1_gf=-Y1gf*(Vf2_g-Vf2_f);disp('If1_gf=');disp(If1_gf);
printf('\n\n\n');
If2_fe=-Y1fe*(Vf2_f-Vf2_e);disp('If2_fe=');disp(If2_fe); //Y2fe=Y1fe
If0_fe=-Y0fe*(Vf2_f-Vf2_e);disp('If0_fe=');disp(If0_fe);
If_fe=If1_fe+If2_fe+If0_fe;disp('If_fe=');disp(If_fe);
|
b033537101332b689321a8d25ec57efd956a06f4 | 717ddeb7e700373742c617a95e25a2376565112c | /72/CH6/EX6.3.1/6_3_1.sce | d01f252bf09448aa394320883432da2b84db2057 | [] | no_license | appucrossroads/Scilab-TBC-Uploads | b7ce9a8665d6253926fa8cc0989cda3c0db8e63d | 1d1c6f68fe7afb15ea12fd38492ec171491f8ce7 | refs/heads/master | 2021-01-22T04:15:15.512674 | 2017-09-19T11:51:56 | 2017-09-19T11:51:56 | 92,444,732 | 0 | 0 | null | 2017-05-25T21:09:20 | 2017-05-25T21:09:19 | null | UTF-8 | Scilab | false | false | 259 | sce | 6_3_1.sce | //CAPTION: Current_of_a_HEMT
//chapter_no.-6, page_no.-251
//Example_no.6-3-1
clc;
//Calculate_the_Drain_Current
q=1.60*(10^-19);
n=5.21*(10^15);
W=150*(10^-6);
v=2*(10^5);
Ids=q*n*W*v;
Ids=1000*Ids;
disp(Ids,'the_drain_current_is(mA)');
|
6a3ba2a68794741437435b32969738ca988dc5d3 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2096/CH1/EX1.28.b/ex_1_28_b.sce | 81015e42d5d875cc07705ec0e6758445b3c8aab2 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 408 | sce | ex_1_28_b.sce | //Example 1.28.b // phase shift and time
clc;
clear;
close;
//given data :
Iin=30; // in celcius
t1=50; // in seconds
t2=10; // in seconds
T1=520; // starting range variation of temerature
T2=580; // range variation of temperature
T=(T1+T2)/2; // mean value in celcius
w=2*%pi*(1/t1); // angular frequency of oscillation rad/sec
pi=atan(w*t2);
L=(1/w)*pi;
disp(L,"the time lag,L(seconds) = ")
|
456cb40096e3a70f748d75d4f33eac82794c112e | 089894a36ef33cb3d0f697541716c9b6cd8dcc43 | /NLP_Project/test/tweet/bow/bow.7_6.tst | 4ed8d5bed765d6899b94695b11ee284d5cd30578 | [] | no_license | mandar15/NLP_Project | 3142cda82d49ba0ea30b580c46bdd0e0348fe3ec | 1dcb70a199a0f7ab8c72825bfd5b8146e75b7ec2 | refs/heads/master | 2020-05-20T13:36:05.842840 | 2013-07-31T06:53:59 | 2013-07-31T06:53:59 | 6,534,406 | 0 | 1 | null | null | null | null | UTF-8 | Scilab | false | false | 26,043 | tst | bow.7_6.tst | 7 11:0.14285714285714285 14:0.5 16:0.0625 33:0.09090909090909091 43:0.4 53:0.25 56:0.5 60:0.05 78:0.3333333333333333 90:0.125 216:1.0 230:0.5 303:1.0 361:1.0 415:0.5 461:0.3333333333333333 521:0.5 989:0.5 1009:1.0 1040:1.0 1470:2.0 1714:1.0 1715:1.0 1852:1.0 3309:1.0 5280:1.0 5287:0.3333333333333333 5332:1.0 5362:1.0 5685:1.0 7023:1.0
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7 11:0.42857142857142855 16:0.0625 60:0.025 61:0.25 235:0.3333333333333333 521:0.5 645:0.3333333333333333 1156:0.5 2354:0.5 2716:1.0 5287:0.3333333333333333 5313:1.0 5530:0.5 5883:1.0 7613:1.0
7 5:0.5 60:0.025 521:0.5 5287:0.16666666666666666 5376:1.0 6036:1.0
7 60:0.025 209:0.25 230:0.25 1009:1.0 1197:1.0 4842:1.0 5287:0.3333333333333333 5511:0.25 5627:1.0 5731:1.0 5857:1.0 6036:1.0
7 9:0.5 16:0.0625 33:0.09090909090909091 43:0.2 53:0.25 56:0.25 61:0.25 169:0.5 230:0.25 262:0.3333333333333333 341:0.5 453:0.5 461:0.3333333333333333 554:0.5 1108:1.0 1742:1.0 2339:0.5 2467:1.0 2676:1.0 5265:0.06666666666666667 5287:0.16666666666666666 5347:1.0 5804:1.0 6072:1.0
7 9:0.5 11:0.14285714285714285 16:0.0625 24:0.14285714285714285 29:1.0 31:0.03333333333333333 44:0.3333333333333333 52:1.0 60:0.025 61:0.5 78:0.3333333333333333 208:0.5 248:1.0 289:1.0 442:0.6666666666666666 707:1.0 737:0.5 949:0.09090909090909091 1470:1.0 1742:1.0 2694:1.0 3522:1.0 3706:1.0 3919:1.0 4598:1.0 5280:1.0 5287:0.3333333333333333 5305:1.0 5350:1.0 5599:1.0 6831:1.0 7345:1.0 7792:1.0
7 39:0.16666666666666666 44:0.3333333333333333 53:0.5 78:0.3333333333333333 546:1.0 554:0.5 946:1.0 949:0.09090909090909091 1025:0.5 1478:1.0 1541:1.0 2024:1.0 3316:1.0 3517:1.0 3815:1.0 3919:1.0 4918:1.0 5287:0.16666666666666666 5338:1.0 5362:1.0 6119:1.0 7071:1.0
|
14a461df4fa0b7e39a1bbdcf75a0a0cd983ff277 | 449d555969bfd7befe906877abab098c6e63a0e8 | /48/CH12/EX12.14/eg_12_14.sce | 2b2bcac7726b76a2a0d90fe214f89db8dc630ee6 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 533 | sce | eg_12_14.sce | clc;
clear;
//assume the first cloumn values are of machine M1 and 2nd column are of M2
p=[1,1;1 3;2 2;2 4;3 3;3 1;4 4;4 2];
z=1;
for i=1:length(p(:,1))
for j=i:length(p(:,1))
if(p(i,1)==p(j,1) & i~=j)
q(z,:)=[p(i,:) p(j,:)];
z=z+1;
end
end
end
disp("pi(R)");
disp(q);
z=1;
for i=1:length(p(:,1))
for j=i:length(p(:,1))
if(p(i,2)==p(j,2) & i~=j)
q(z,:)=[p(i,:) p(j,:)];
z=z+1;
end
end
end
disp("pi(S)");
disp(q); |
a0672c22fdf44631b4e4c10cd3408a8687c4e354 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3760/CH4/EX4.82/Ex4_82.sce | ce3ec351d9379270368725535a9e8f5f8e26aacc | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 1,118 | sce | Ex4_82.sce | clc;
// plot for open circuit characteristics is given in fig 4.10
IF=[ 0 11.5 23 36.5 59.5 79 110 160];
EA=[0 40 80 120 160 180 200 220 ];
subplot(221);
plot(IF,EA);
xlabel('field ATs');
ylabel('voltage');
title('magnetising curve');
nf=800; // field winding turns
rd=0.5; // total armature resistance along d-axis
ifl=0.2; // field winding current
d=10; // product of (difference between mmf of compensating winding and armature mmf along d-circuit)and load current
nf1=nf*ifl; // field winding turns for field current of 200mA
il=nf1/d; // maximum load current
printf('Maximum field current is %d A\n',il);
IL=[0 2 4 6 8 10 12 14 16]; // load currents
ATD=nf1-d*IL; // net d-axis ATs
disp('Net d-axis ATs is');
disp(ATD);
// corresponding to each ATD open circuit EMF is obtained from magnetising curve
EO=[220 213 204.7 194 180.5 161.4 128 70 0 ]; // open circuit EMF
VRD=rd*IL; // d-axis resistance drop
VO=EO-VRD;
disp('Output voltage(V) is ');
disp(VO);
subplot(222);
plot(IL,VO);
xlabel('load current(A)');
ylabel('Output voltage(v)');
title('Output voltage vs Load current');
|
e0e074d01d2c322531a34bc2a84df6c509c5c9cb | 449d555969bfd7befe906877abab098c6e63a0e8 | /1202/CH10/EX10.13/10_13.sce | ae7b930250a715805efb9aa4c5c70dc79d728ed5 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 327 | sce | 10_13.sce | clear
clc
//Example 10.13
disp('Example 10.13')
s=%s;
G=4/((s+1)*(s+2)*(s+3));
G=syslin('c',G);
[ki,s_i]=kpure(G);
evans(G,ki*1.5); // plots for until K = 1.5*ki
//disp(G,"For G=");disp(ki,"K=")
disp(ki,"Max value of k for which we have closed loop stability",G,"For G=")
xtitle("$G(s)=\frac{4}{(s+1)(s+2)(s+3)}$")
sgrid();
|
7902303ecf2df3a2b26201fe3b25d88f49ad7116 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1862/CH9/EX9.3/C9P3.sce | 45e356548aa2317a5c529f0b68adb9a0d4d4cbef | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 1,494 | sce | C9P3.sce |
clear
clc
//To find rotational inertia
// GIVEN::
//refer to figure 9-9 from page no. 181
//mass of first partical
m1 = 2.3//in kg
//mass of second partical
m2 = 3.2//in kg
//mass of third partical
m3 = 1.5//in kg
// SOLUTION:
//locating center of mass
x1 = 0//in m
x2 = 0//in m
x3 = 4.0//in m
//x coordinate of center of mass
x_cm = (m1*x1+m2*x2+m3*x3)/(m1+m2+m3)//in m
y1 = 0//in m
y2 = 3.0//in m
y3 = 0//in m
//y coordinate of center of mass
y_cm = (m1*y1+m2*y2+m3*y3)/(m1+m2+m3)//in m
//squqred distance from center of mass to each of particals
//for first partical
r1_square = x_cm^2 + y_cm^2//in m^2
//for second partical
r2_square = x_cm^2 + (y2-y_cm)^2//in m^2
//for third partical
r3_square = (x3-x_cm)^2 + y_cm^2//in m^2
//rotational inertia
I_cm = (m1*r1_square+m2*r2_square+m3*r3_square)//in Kg.m^2
r2_square = nearfloat("succ",3.40)
r3_square = nearfloat("pred",11.74)
I_cm = ceil(I_cm)
printf ("\n\n x coordinate of center of mass x_cm = \n\n %.2f m",x_cm);
printf ("\n\n y coordinate of center of mass y_cm = \n\n %.2f m",y_cm);
printf ("\n\n Squqred distance from center of mass for first partical r1_square = \n\n %.2f m^2",r1_square);
printf ("\n\n Squqred distance from center of mass for second partical r2_square = \n\n %.2f m^2",r2_square);
printf ("\n\n Squqred distance from center of mass for third partical r3_square = \n\n %2i m^2",r3_square);
printf ("\n\n Rotational inertia I_cm = \n\n %.1f Kg.m^2",I_cm);
|
48d1d46de3545de72834b535c3eccf6f703b7258 | da5b40d917ec2982828bd9bdf06b18b7bf189f26 | /sim/cmd/test/connector.tst | 55021705bc8a260b32eb385dc331cd674837f1b6 | [] | no_license | psy007/NNPC-CHEMICAL-SIM- | 4bddfc1012e0bc60c5ec6307149174bcd04398f9 | 8fb4c90180dc96be66f7ca05a30e59a8735fc072 | refs/heads/master | 2020-04-12T15:37:04.174834 | 2019-02-06T10:10:20 | 2019-02-06T10:10:20 | 162,587,144 | 1 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 1,384 | tst | connector.tst | # Cross connecter thermo test
units SI
$thermo = VirtualMaterials.Peng-Robinson
/ -> $thermo
thermo + PROPANE ISOBUTANE n-BUTANE n-PENTANE WATER
# lets have some streams for this test
coldInlet = Stream.Stream_Material()
hotInlet = Stream.Stream_Material()
cd hotInlet.In
T = 200
P = 150
Fraction = .01 .02 .01 0 1
MoleFlow = 500
cd /
cd /coldInlet.In
Fraction
Fraction = .75 15 .08 .02 0
VapFrac = 0
P = 300
T =
MoleFlow = 1000
cd /
coldOutlet = Stream.Stream_Material()
exch = Heater.HeatExchanger()
exch
cd exch
DeltaPC = 10
DeltaPH = 50
DeltaTHO = 5 K
cd /
# hot side will use steam property package
$thermo1 = VirtualMaterials.Steam95
exch.HotSide -> $thermo1
exch.HotSide.thermo1 + water
# create hot outlet and assign the hot inlet thermo
hotOutlet = Stream.Stream_Material()
hotOutlet -> $thermo1
# create CrossConnector
xc = CrossConnector.CrossConnector()
hotInlet.Out -> xc.In
xc.In
xc.Out
#connect things
coldInlet.Out -> exch.InC
exch.OutC -> coldOutlet.In
xc.Out -> exch.InH
exch.OutH.T
exch.OutH -> hotOutlet.In
# results
coldInlet
coldInlet.Out
coldOutlet.Out
hotInlet.Out
hotOutlet.Out
exch.ColdSide.InQ
# one more stream and connector
hotOut2 = Stream.Stream_Material()
xc2 = CrossConnector.CrossConnector()
xc2.Out -> hotOut2.In
hotOut2.In
copy /
paste /
cd /RootClone
coldInlet
coldInlet.Out
coldOutlet.Out
hotInlet.Out
hotOutlet.Out
exch.ColdSide.InQ
|
90c20ded1a4e576976e54df7f7718266c55e5a25 | 449d555969bfd7befe906877abab098c6e63a0e8 | /61/CH15/EX15.4/ex15_4.sce | 446ac71c539dadb864b4fe0d60ec492088001171 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 340 | sce | ex15_4.sce | //ex15.4
f_c=2860;
R=1.8*10^3;
C=1/(2*%pi*f_c*R);
R2=R;
R1=0.152*R2; //BUTTERWORTH RESPONSE IN FIRST STAGE
R4=R;
R3=1.235*R4; //BUTTERWORTH RESPONSE IN SECOND STAGE
disp(C,'capacitance in farads');
disp(R1,'R1 in ohms for butterworth response in first stage')
disp(R3,'R3 in ohms for butterworth response in second stage')
|
fef54c7ba7706a3292b1aaf4ecb5b4f14c82d69f | 449d555969bfd7befe906877abab098c6e63a0e8 | /1850/CH2/EX2.14/exa_2_14.sce | 4cf82a68c1f5f5126bb3c580a67bca176b917e16 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 277 | sce | exa_2_14.sce | // Exa 2.14
clc;
clear;
close;
// Given data
format('v',9)
V_PP= 3;// in volt
delta_t= 4;// in micro sec
// delta_V= 90% of V_PP - 10% of V_PP = (90%-10%)*V_PP
delta_V= 0.8*V_PP;
SR= delta_V/delta_t;// in V/micro sec
disp(SR,"Required slew rate in V/micro second")
|
e1eca5671b60187dbc56d7e8f9f456779a79c52a | 449d555969bfd7befe906877abab098c6e63a0e8 | /3537/CH4/EX4.4/Ex4_4.sce | 6f4c4205ab6b60fbefd05535038c3c62e5a24698 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 340 | sce | Ex4_4.sce | //Example 4_4
clc();
clear;
//To calculate the number of atoms per unit cell
a=2.9*10^-10 //units in meters
density=7870 //units in kg/m^3
M=55.85 //units in kg/m^3
N=6.02*10^26 //units in kg/mol
n=(a^3*density*N)/M
printf("number of atoms %.0f",n)
|
ff5b1f1b9c54b7a3a5f9ebf6f2931cbae7d7f921 | 449d555969bfd7befe906877abab098c6e63a0e8 | /413/CH6/EX6.10/Example_6_11.sce | e8f7ba367224d84d0f872e2b81954363b5cd5afd | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 490 | sce | Example_6_11.sce | A=[3,-1,0;-2,4,-3;0,-1,1;]
disp(A)
printf('Eigen values are:')
disp(spec(A))
printf('Display of Power Method:')
U=[1,1,1]'
for i=1:14
B=A*U
a=abs(B(1,1))
b=abs(B(2,1))
c=abs(B(3,1))
if ((a>b)&(a>c)) then
T= (B(1,1))
elseif ((b>a)&(b>c)) then
T=(B(2,1))
else T=(B(3,1))
end
printf('After %d iteration eigenvalue is ',i)
disp(T)
printf(' corresponding eigenvector is ')
U=B/T
disp(U)
end |
a05fb1fb2eac897f21f7fd9f593bed5bead34061 | 9cb37875b74a713c93c09fa50ccc70ac0f71ecdb | /Replanning/SCENARIO/Pr2AdreamReal.sce | 63854ee7839f65a10669f8c0bd20c636eeaa5e32 | [] | no_license | jmainpri/move3d-assets | a5b621daaedaaf8784fed0da1e80d029c83f3983 | 939db49d17a14e052bb58324b70e6112803d3105 | refs/heads/master | 2021-01-16T17:48:56.669119 | 2016-02-16T14:04:09 | 2016-02-16T14:04:09 | 20,237,987 | 1 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 16,076 | sce | Pr2AdreamReal.sce | #************************************************************
# Scenario of ADREAM
#
# date : Wed Nov 28 17:50:10 2012
#************************************************************
p3d_sel_desc_name P3D_ENV ADREAM
p3d_sel_desc_name P3D_ROBOT HERAKLES_HUMAN1
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 4.143000 6.521000 0.987000 0.000000 0.000000 33.732000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 79.416000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 -69.156000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT HERAKLES_HUMAN2
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT LOTR_TAPE
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT WALLE_TAPE
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT GREY_TAPE
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT PLACEMAT_RED
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT PLACEMAT_BLUE
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT PLACEMAT_GREEN
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT ACCESSKIT
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT PINK_TRASHBIN
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT PR2_GRIPPER
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_constraint p3d_lin_rel_dofs 1 3 1 2 2 1.000000 0.000000 0
p3d_sel_desc_name P3D_ROBOT PR2_GRIPPER_LEFT
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_constraint p3d_lin_rel_dofs 1 3 1 2 2 1.000000 0.000000 0
p3d_sel_desc_name P3D_ROBOT VISBALL_MIGHTABILITY
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT HUM_BAR
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT SAHandRight
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_constraint p3d_lin_rel_dofs 1 6 1 5 2 1.000000 0.000000 0
p3d_constraint p3d_lin_rel_dofs 1 10 1 9 2 1.000000 0.000000 0
p3d_constraint p3d_lin_rel_dofs 1 14 1 13 2 1.000000 0.000000 0
p3d_constraint p3d_lin_rel_dofs 1 18 1 17 2 1.000000 0.000000 0
p3d_sel_desc_name P3D_ROBOT SAHandRight2
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_constraint p3d_lin_rel_dofs 1 6 1 5 2 1.000000 0.000000 0
p3d_constraint p3d_lin_rel_dofs 1 10 1 9 2 1.000000 0.000000 0
p3d_constraint p3d_lin_rel_dofs 1 14 1 13 2 1.000000 0.000000 0
p3d_constraint p3d_lin_rel_dofs 1 18 1 17 2 1.000000 0.000000 0
p3d_sel_desc_name P3D_ROBOT SIMPLECHAIR
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT PR_2CYLINDER
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT HUMCYLINDER
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT TABLE_1
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT CARPET
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 4.580000 7.020000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT FAUTEUIL_1
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 4.350000 5.730000 0.000000 0.000000 0.000000 -164.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT FAUTEUIL_2
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 3.370000 8.150000 0.000000 0.000000 0.000000 48.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT LOW_TABLE_LARGE
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 1.553000 6.760000 0.000000 0.000000 0.000000 16.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT SOFA
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 3.100000 6.600000 0.000000 0.000000 0.000000 109.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT IKEA_SHELF_DARK
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 3.733000 4.835000 0.791000 0.000000 0.000000 90.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT IKEA_SHELF_LIGHT_1
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 3.733000 4.835000 0.000000 0.000000 0.000000 90.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT IKEA_SHELF_LIGHT_2
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 4.523000 4.835000 0.000000 0.000000 0.000000 90.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_sel_desc_name P3D_ROBOT PR2_ROBOT
p3d_set_robot_steering_method Multi-Localpath
p3d_set_robot_radius 1.000000
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 5.934000 5.629000 0.000000 0.000000 0.000000 81.036000 0.192000 0.000000 0.000000 0.000000 -61.254000 55.426000 -68.284000 -74.959000 0.000000 0.000000 0.000000 0.000000 0.000000 53.566000 67.152000 97.737000 -119.288000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 5.741000 7.580000 0.000000 0.000000 0.000000 180.000000 0.192000 0.000000 0.000000 0.000000 -61.254000 55.426000 -68.284000 -74.959000 0.000000 0.000000 0.000000 0.000000 0.000000 53.566000 67.152000 97.737000 -119.288000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_constraint p3d_lin_rel_dofs 1 15 1 14 2 1.000000 0.000000 0
p3d_constraint p3d_lin_rel_dofs 1 25 1 24 2 1.000000 0.000000 0
p3d_constraint p3d_pr2_arm_ik 7 6 7 9 10 11 12 13 1 32 0 1 8
p3d_set_cntrt_Tatt 2 1.000000 0.000000 0.000000 -0.180000 0.000000 1.000000 0.000000 0.000000 0.000000 0.000000 1.000000 0.000000
p3d_set_cntrt_Tatt2 2 0.000000 1.000000 0.000000 0.000000 0.000000 0.000000 1.000000 0.000000 1.000000 0.000000 0.000000 -0.180000
p3d_constraint p3d_pr2_arm_ik 7 16 17 19 20 21 22 23 1 33 0 1 18
p3d_set_cntrt_Tatt 3 1.000000 0.000000 0.000000 -0.180000 0.000000 1.000000 0.000000 0.000000 0.000000 0.000000 1.000000 0.000000
p3d_set_cntrt_Tatt2 3 0.000000 1.000000 0.000000 0.000000 0.000000 0.000000 1.000000 0.000000 1.000000 0.000000 0.000000 -0.180000
p3d_set_object_base_and_arm_constraints 32 1 0 2 2 3
p3d_set_arm_data 2 3 32
p3d_set_arm_data 3 3 33
p3d_sel_desc_name P3D_ROBOT PR2_SIMUL
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
p3d_set_camera_pos 4.909815 6.629659 0.584054 4.799191 5.971935 0.786875 0.000000 0.000000 1.000000 0.000000
|
7061ba03c9366fccbfff7975c8f05c107ce4082c | 449d555969bfd7befe906877abab098c6e63a0e8 | /174/CH4/EX4.7/example4_7.sce | 238f8f6f709198e97a14e4ab1f8620741bdc2a56 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 1,898 | sce | example4_7.sce | // To find the scale error
// Modern Electronic Instrumentation And Measurement Techniques
// By Albert D. Helfrick, William D. Cooper
// First Edition Second Impression, 2009
// Dorling Kindersly Pvt. Ltd. India
// Example 4-7 in Page 67
clear; clc; close;
// Given data
R_h = 2000; //The desired scale marking for the half scale deflection
E = 3; //The internal battery voltage in volt
I_fsd = 1 *(10^-3); //Current for full scale deflection in ampere
R_m = 50; //resistance of the basic movement in ohm
//Calculations
I_t = E / R_h; //Total battery current at FSD
I_2 = I_t - I_fsd; // Current through zero-adjust resistor R_2
R_2 = I_fsd * R_m/I_2;
R_p = R_2*R_m/(R_2 + R_m);
R_1 = R_h - R_p;
printf("(a) The value of R_1 and R_2 is")
printf("The value of zero-adjust resistor R2 =%0.1f ohm\n",R_2);
printf("The value of current-limiting resistor R1 =%0.1f ohm\n",R_1);
//At a 10% drop in battery voltage
E = 3- 0.3;
I_t = E / R_h; //Total battery current in A
I_2 = I_t - I_fsd; //Shunt current in A
R_2 = ceil(I_fsd * R_m/I_2);
R_p = R_2 *R_m/(R_2+R_m);
R_h = R_1 + R_p;
%error = (2000-2003.7)/2003.7*100;
printf("\n(b) The maximum value of R2 to compensate the drop in battery voltage = %d ohm\n",R_2);
printf("The true value of the half-scale mark on the meter is = %0.3f ohm\n",R_h);
printf("\n(c) The percentage error = %0.3f%%\n",%error);
disp('The negative sign indicates that the meter reading is low');
//Result
// (a) The value of R_1 and R_2 isThe value of zero-adjust resistor R2 =100.0 ohm
// The value of current-limiting resistor R1 =1966.7 ohm
// (b) The maximum value of R2 to compensate the drop in battery voltage = 143 ohm
// The true value of the half-scale mark on the meter is = 2003.713 ohm
// (c) The percentage error = -0.185%
// The negative sign indicates that the meter reading is low
|
a09f516189eabfd6b5c1d8821c77b66ebc0af2e9 | 449d555969bfd7befe906877abab098c6e63a0e8 | /49/CH8/EX8.1/ex1.sce | 8d03580a5b0d1ed950ae539d17d1a90235e98283 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 1,162 | sce | ex1.sce | //CHAPTER 8 _ TEMPERATURE MEASUREMENT
//Caption : Thermocouple
// Example 1 // Page 500
t1 = 100 //('entering the temperature(in deg cent) =:')
e1= 5 // ('entering the emf (in mv)at temperature t1 =:')
t2=445 //('entering the second temperature(in deg cent)= :')
e2=25 //('entering the emf(in mv) at temperature t2 =:')
// TO CALCULATE CONSTANTS a AND b
//e1=a*(t1)+b*(t1^2);
//e2=a*(t2)+b*(t2^2);
A=[t1 t1^2;t2 t2^2];
B=[e1 0 ;e2 0]
Y=lsq(A,B); //computes the minimum norm least square solution of the equation A*Y=B,
disp(Y)
printf('value of constants a and b are %fd V/deg cent and %fd V/deg cent respectively',Y(1,1),Y(2,1))
//PART B
//Let e(0-40) be represented by E1 , e(40-t) by E2 and e(0-t) by E3
E1=(Y(1,1)*40)+(Y(2,1)*40^2);
disp(E1);
E2=2; // given
E3=E1+E2;
D=sqrt((Y(1,1)^2)+(4*Y(2,1)*E3));
t=(-Y(1,1)+D)/(2*Y(2,1));
disp(t)
printf('Hot junction temperature is %1.1f deg cent ',t);
// PART C
// Let e(0-500) be represented by E4 and e(40-500) by E5
E4=Y(1,1)*500+Y(2,1)*500^2;
E5=E4-E1;
disp (E5)
printf('emf when the hot junction is at 500 and cold at 40 is %1.1f mV ',E5);
|
a81ed98cc8aacb1017fa08288cc256988b7ee1b5 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2333/CH1/EX1.1/1.sce | bff4b024f3fcd49a42ed5301b6bc51f88221b010 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 481 | sce | 1.sce | clc
// Given that
m = 6 // mass of object in kg
a= 5 // acceleration of object in m/s^2
g = 9.8 // acceleration due to gravity in m/s^2
// Sample problem 1 on page no. 10
printf("\n # Problem 1 \n")
F_down = m*(g+a) // force acting on a particle going downwards in N
F_up = m*(g-a)//force acting on a particle going upwards in N
printf("\n Force acting on a particle while going upward is %f N \n Force acting on a particle while going downward is %f N",F_up,F_down)
|
83c3e7408b9a480b3b8f12f76797232f3b0e49d7 | 5ba9974f88f5d5ba808f9905096f7cd42fb380cb | /ES84/ES 84 removal exams/input3.sce | 31154a2f135f59414f4aea3d03887fb75af4330c | [] | no_license | Ailen-Aspe/test | a721d5ac0dc214d1a94d850bf1e5ce4f05b94592 | 884c7665fb122a21681f21a5e0137cb8aaecd6e3 | refs/heads/master | 2020-12-24T10:24:35.969105 | 2017-01-14T07:04:02 | 2017-01-14T07:04:02 | 73,158,276 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 169 | sce | input3.sce | function y=f(x)
y=-2*sin(x)+4*cos(x)
endfunction
n=1000000
tol=0.00001
//dispay the following:
//1. result (at least 9 decimal places or scientific notation)
|
cde2c9a438fb2f390b730d6f019ff7cceadc6fbc | 1bb72df9a084fe4f8c0ec39f778282eb52750801 | /test/MX3C.prev.tst | e1449796b1d9e3793cddc2625ce8200bcc6c82d2 | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | gfis/ramath | 498adfc7a6d353d4775b33020fdf992628e3fbff | b09b48639ddd4709ffb1c729e33f6a4b9ef676b5 | refs/heads/master | 2023-08-17T00:10:37.092379 | 2023-08-04T07:48:00 | 2023-08-04T07:48:00 | 30,116,803 | 2 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 2,075 | tst | MX3C.prev.tst | chain 8, fact 1 [[-2,-2,0,1],[1,0,2,2],[0,1,-2,-2],[2,2,1,0]] [39,17,-36,-26] => [-138,-85,141,76] => [522,296,-519,-305] => [-1941,-1126,1944,1117] => [7251,4181,-7248,-4190] => [-27054,-15625,27057,15616] => [100974,58292,-100971,-58301] => [-376833,-217570,376836,217561] => [1406367,811961,-1406364,-811970]
chain 8, fact 1 [[-2,1,0,-2],[1,2,2,0],[0,-2,-2,1],[2,0,1,2]] [39,17,-36,-26] => [-9,1,12,-10] => [39,17,-36,-26] => [-9,1,12,-10] => [39,17,-36,-26] => [-9,1,12,-10] => [39,17,-36,-26] => [-9,1,12,-10] => [39,17,-36,-26]
chain 8, fact 1 [[-2,-2,0,1],[2,2,1,0],[0,1,-2,-2],[1,0,2,2]] [39,17,-36,-26] => [-138,76,141,-85] => [39,17,-36,-26] => [-138,76,141,-85] => [39,17,-36,-26] => [-138,76,141,-85] => [39,17,-36,-26] => [-138,76,141,-85] => [39,17,-36,-26]
chain 5, fact 1 [[-2,1,0,-2],[2,0,1,2],[0,-2,-2,1],[1,2,2,0]] [39,17,-36,-26] => [-9,-10,12,1] => [6,-4,-3,-5] => [-6,-1,9,-8] => [27,-19,-24,10] => [-93,50,96,-59] ?? [354,-208,-351,199]
chain 5, fact 1 [[0,-2,-2,1],[1,2,2,0],[-2,1,0,-2],[2,0,1,2]] [39,17,-36,-26] => [12,1,-9,-10] => [6,-4,-3,-5] => [9,-8,-6,-1] => [27,-19,-24,10] => [96,-59,-93,50] ?? [354,-208,-351,199]
chain 8, fact 1 [[0,1,-2,-2],[1,0,2,2],[-2,-2,0,1],[2,2,1,0]] [39,17,-36,-26] => [141,-85,-138,76] => [39,17,-36,-26] => [141,-85,-138,76] => [39,17,-36,-26] => [141,-85,-138,76] => [39,17,-36,-26] => [141,-85,-138,76] => [39,17,-36,-26]
chain 2, fact 1 [[0,-2,-2,1],[1,2,2,0],[0,0,1,-1],[0,1,0,1]] [39,17,-36,-26] => [12,1,-10,-9] => [9,-6,-1,-8] ?? [6,-5,7,-14]
chain 8, fact 1 [[0,-2,-2,1],[2,0,1,2],[-2,1,0,-2],[1,2,2,0]] [39,17,-36,-26] => [12,-10,-9,1] => [39,17,-36,-26] => [12,-10,-9,1] => [39,17,-36,-26] => [12,-10,-9,1] => [39,17,-36,-26] => [12,-10,-9,1] => [39,17,-36,-26]
chain 8, fact 1 [[0,1,-2,-2],[2,2,1,0],[-2,-2,0,1],[1,0,2,2]] [39,17,-36,-26] => [141,76,-138,-85] => [522,296,-519,-305] => [1944,1117,-1941,-1126] => [7251,4181,-7248,-4190] => [27057,15616,-27054,-15625] => [100974,58292,-100971,-58301] => [376836,217561,-376833,-217570] => [1406367,811961,-1406364,-811970]
elapsed time: nn s
|
ba7684f78d2fbc0aa5d68badf85cf67fc56c031c | e9d5f5cf984c905c31f197577d633705e835780a | /GED/nonlinear/scilab/nonlin_mandel98/compound_residuals.sci | c3d4b9782e6025a7febe56dac64c03d596444ab2 | [] | no_license | faiz-hub/dr-ged-benchmarks | 1ad57a69ed90fe7595c006efdc262d703e22d6c0 | 98b250db9e9f09d42b3413551ce7a346dd99400c | refs/heads/master | 2021-05-18T23:12:18.631904 | 2020-03-30T21:12:16 | 2020-03-30T21:12:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 2,310 | sci | compound_residuals.sci | function y=compound_residuals(x, Ainput,Ncomp )
//******************************************************************************
// Data Reconciliation Benchmark Problems From Literature Review
// Author: Edson Cordeiro do Valle
// Contact - edsoncv@{gmail.com}{vrtech.com.br}
// Skype: edson.cv
//*********************************************************************
// This function is prepared to use the automatic derivatives toolbox of
// Scilab. This toolbox can be instaled using the ATOMS installer (package diffcode).
// This function evaluates the residuals of the compound balances for each stream:
// the 'A' matrix, and then concatenates with the normalization equations:
// x_{j,i}, where i= stream and j = compounds
// Example for a 3 stream system with 3 compounds
// for a simple splitter where the incidence matrix is Ainput = [a11 a12 a13]
// the resulting system is:
// eq1 = a11.F1.x11 + a12.F2.x12 +a13.F3.x13
// eq2 = a12.F1.x21 + a12.F2.x22 +a13.F3.x23
// eq3 = a12.F1.x31 + a12.F2.x32 +a13.F3.x33
// for each stream, we have \sum_{xi}^n x_{i,j} -1 = 0, , resulting in 3 equaitons
// eq4 = x11 + x21 + x31 = 1
// eq5 = x12 + x22 + x32 = 1
// eq6 = x13 + x23 + x33 = 1
// Notice that the x is a column vector and must pe previoulsy organized
// Outputs:
// y,: the constraints residuals
// Inputs:
// x: the column vector of the variables, after the x = [flow, compounds]
// and x = x(:) operation
// Ainput: the incidence matrix of the total flow
// Ncomp: number of compounds
//
// get the sizes
//
[Aeqp, Astreams] =size(Ainput);
// resize the x vector
xx=matrix(x,Astreams,Ncomp+1)
// organize the variables appropriately
TotalFlowMeasured = xx(:,1)';
compoundMeasured = xx(:, 2:$);
// Build the functions for the constraints residuals
for i = 0:Aeqp - 1
// pause
A(i*(Ncomp) + 1:(i + 1)*Ncomp ) = sum((ones(Ncomp,1)*Ainput(i+1,:)).*(ones(Ncomp,1)*TotalFlowMeasured.*compoundMeasured'),'c')
end
// next we'll build the derivatives of the normalization equations:
// for each stream, we have \sum_{j}^streams x_{j,i} -1 = 0, , resulting in "Astreams" equations
//pause
Asum = sum (compoundMeasured','r')' ;
y=[A;Asum];
endfunction
|
04c2276af7b286748c6cac7d23591d1c79500eec | 449d555969bfd7befe906877abab098c6e63a0e8 | /2660/CH4/EX4.8/Ex4_8.sce | 7f396ce43c00b60f768d1ad3fa7a2bf4f31df473 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 292 | sce | Ex4_8.sce | clc
Tk = 360 // time taken by tool to cut before sharpening in min.
Tc = 20 // time taken to change the tool in min.
T = 4320 // time taken before it is discarded in min.
t = (Tc*Tk)/T // tool change time per cycle in min.
printf("\n Unit tool change time per cycle = %0.2f min" , t )
|
90075ceb0cc36856144a723d3c2a4a74e0200264 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3417/CH9/EX9.3.5.1/Ex9_3_5_1.sce | 65646c6c3b2cf0d60cedc40565635ee40f92dc79 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 582 | sce | Ex9_3_5_1.sce | //Ex9.3.5.1.;Calculate Energy generated
R=12;//unit=m; R is the range
r=3;//unit=m; the head below turbine stops operating
time=(44700/2);
A=30*10^6;
g=9.80;
p=1025;
//The total theoretical work W=integrate('1','w',R,r);
W=(g*p*A*((R^2)-(r^2)))/2;
printf(" W=%f ",W);
//The average power generated
Pav=W/time;//unit=watts
printf("\n The average power generated=%f watts",Pav);
pav=(Pav/1000)*3600;//unit=kWh
printf("\n The average power generated=%f kWh",pav)
//the energy generated
Energy_generated=pav*0.73
printf("\n Energy generated=%f kWh",Energy_generated);
|
5241a777e6f7e2a12a1e6b6684af3faf8a6253b7 | 862a86901997f23b9e378d14a07e28c0372be226 | /Calculos/Engrenagens.sce | 0ae2e0eb643b766574fab46bff5c5b9fa202844b | [] | no_license | alexandregoodmann/plotter | 77a491ba34ecb998180f3789ea1424f7d7db1ee8 | 362b848ce0dbd34fcdaa18064237289e12564a75 | refs/heads/master | 2020-05-03T09:07:49.896969 | 2019-03-30T11:03:41 | 2019-03-30T11:03:41 | 157,009,653 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 43 | sce | Engrenagens.sce | Ra = 37/2;
Rb = 4;
Rc = 12;
Rc = 7/2;
Wa
|
f08130b5759e27b53bd1ecad9bf73ea17be16765 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3875/CH10/EX10.17/10_17.sce | b97570e6ef82b8046a6931dbfb364597c584e992 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 655 | sce | 10_17.sce | clc;
clear;
h=6.63*10^-34 //Plancks constant in J-s
c=3*10^8 //velocity of light in m/s
E0=6.20*10^3 //energy of photon in keV
freq_s=0.5/100 //frequency shift
m=9.1*10^-31 //mass in kg
//CALCULATION
lambda0=(h*c)/(E0*1.6*10^-19) //wavelength in m
delta_E=(freq_s*E0)/10^3 //Loss in energy of photon in keV
E=(E0/10^3)-delta_E //energy of scattered photon on keV
lambda=(h*c)/(E*10^3*1.6*10^-19) //wavelength of scattered photon in m
delta_lambda=lambda-lambda0 //compton shift
phi=acosd(1-(m*c*delta_lambda)/h)
mprintf("The angle through which Xray is scattered is = %2.1f degree",phi)
//The answer varies due to round off error.
|
fd4b402ecfdbd40acd00cda7461ecd7388439d6e | 449d555969bfd7befe906877abab098c6e63a0e8 | /3802/CH3/EX3.16/Ex3_16.sce | 5e1f2fc9f9c7cb89779f46ee3f2e72b1c7ea37fb | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 714 | sce | Ex3_16.sce | //Book Name:Fundamentals of Electrical Engineering
//Author:Rajendra Prasad
//Publisher: PHI Learning Private Limited
//Edition:Third ,2014
//EX3_16.sce
clc;
clear;
//from the mesh equations coefficient of I1,I2,and source is given below
a1=complex(4,-2);
b1=-complex(3,-2);
c1=complex(12,0);
a2=-complex(3,4);
b2=complex(5,3);
c2=complex(0);
del1=det([c1 b1;c2 b2]);
del2=det([a1 c1;a2 c2]);
del=det([a1 b1;a2 b2]);
I2=del2/del;
I1=del1/del;
V2=(2*I2)+((3*(-2*%i))*(I1-I2));
V2_mag=sqrt(real(V2)^2+imag(V2)^2);
V2_ang=atand(imag(V2)/real(V2));
printf("\n V2=%1.2f angle:%2.2f degree \n",V2_mag,V2_ang)
//Anawer vary dueto round off error
//Result:v2(t)=4.87*sqrt(2) sin(2t-66.04)
|
049ba5b41a626f688b7b989ba950a7f258d68496 | 430e7adb489914d378a5b0a27d8d41352fa45f3a | /scilab/example/任意極配置.sce | 9abb7c4fe258da5c59f5881503b8d6b1cae8e084 | [] | no_license | ziaddorbuk/Lesson | 04906ff94bf8c1f6bbc6971d5692ae011a9b8869 | 20fe20a6c9c145ef48a35574d885d3952f9ab6ff | refs/heads/master | 2021-09-23T11:48:05.958608 | 2018-04-30T01:54:13 | 2018-04-30T01:54:13 | null | 0 | 0 | null | null | null | null | WINDOWS-1252 | Scilab | false | false | 107 | sce | 任意極配置.sce | //”CˆÓ‹É”z’u
A=[1 0;0 2]; b=[1;1];
poles=[-2,-3];
k_=ppol(A,b,poles);
k=-k_
spec(A+b*k)
|
6f79e9b0e09aeada7e870934582e86b0d9acb38a | 449d555969bfd7befe906877abab098c6e63a0e8 | /668/CH3/EX3.1/eg3_1.sce | 6a09c81aff6ca5004617e1fba0a9fa6b189d7625 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 495 | sce | eg3_1.sce | opeGaAs = 36; //optical phonon energies in GaAs in meV
opeGaN = 90; //optical phonon energies in GaN in meV
disp(opeGaAs,"The optical phonon energies in GaAs (in meV)")
disp(opeGaN,"The optical phonon energies in GaN (in meV)")
disp ("If the electron energies are below these values, there is no phonon emission.The phonon occupation number in GaAs at 300 K is 0.33 and in GaN is 0.032. Thus above threshold, the emission to absorption ratios are approximately 4:1 and 32:1 respectively.")
|
4abbd6d2dae41aa191ee3856d7ea13e0af50d7ec | 449d555969bfd7befe906877abab098c6e63a0e8 | /3638/CH13/EX13.1/Ex13_1.sce | 817b50978794edfcba8e89817d668b41b9ecf496 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 1,088 | sce | Ex13_1.sce | //Introduction to Fiber Optics by A. Ghatak and K. Thyagarajan, Cambridge, New Delhi, 1999
//Example 13.2
//OS=Windows XP sp3
//Scilab version 5.5.2
clc;
clear;
//given
//Vc(t)=V0*(1-exp(-t/(R*C))) is the voltage across capacitance in an RC circuit
//Hence, the time t=R*C*(-log(1-Vc/V0))
//The Rise time is the time taken by a system to rise from 10% to 90% of maximum value
//So, it is given as Tr=T90-T10 where T90 is time when Vc is 90% of maximum value and T10 is time when Vc is 10% of maximum value
//i.e. Tr=R*C*(-log(1-0.9))-R*C*(-log(1-0.1))
//Let Tr=R*C*k; where k=log(1-0.1))-log(1-0.9)
k=log(1-0.1)-log(1-0.9);
mprintf("\n The Rise Time Tr=%.2fRC",k);
//Now, The 3dB bandwidth is given as Deltaf=1/(2*%pi*R*C);
//Let Deltaf=m/(R*C); where m=1/(2*%pi)
m=1/(2*%pi);
mprintf("\n The 3dB bandwidth Deltaf=%.2f/RC",m);
//By multiplying expressions of Tr and Deltaf, we eliminate RC from the expressions
//Rearranging te terms, we get Tr in terms of Deltaf
mprintf("\n Rise time in terms of Bandwidth is given as:");
mprintf("\n Tr=%.2f/Deltaf",k*m);
|
553188821a0f1643e94d122914359e4286095203 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2489/CH11/EX11.3/11_3.sce | 8f2c72f04005ec646d97cd381938c467ae87c97d | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 334 | sce | 11_3.sce | clc
//Intitalisation of variables
clear
n1= 2 //moles
n2= 2 //moles
n3= 1 //mole
h1= 54.6 //cal
h2= 7.8 //cal
h3= -69.6 //cal
R= 1.987 //cal
T= 25 //C
//CALCULATIONS
dF= -n1*h1-(-n2*h2+n3*h3)
Kp= 10^(-dF*1000/(2.303*R*(273.2+T)))
//RESULTS
printf ('dF = %.f kcal ',dF)
printf ('\n equillibrium constant = %.1e ',Kp)
|
8e1a44d7c0c4a75fbf6b0404f5bce2afe6ad25b7 | 047d952507eb3b9d71fac69ec3332225f17f53ef | /main/out/main/testfiles/test09.tst | 7ce7a243c459d3941b39d08816a1ac4f83afef54 | [] | no_license | patrick-nanys/project-laboratories-hw | 89ab8f366219f491e6feba5558bf41ef8205dda1 | ba57a9d5e4ca33a3cc1be3cdb4fe679fe0149f93 | refs/heads/master | 2022-08-09T14:14:31.220503 | 2020-05-18T11:20:03 | 2020-05-18T11:20:03 | 250,313,203 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 71 | tst | test09.tst | 2;er;0
5;r
4;-
p1;-;-;-;3;1;2
-;p2;-;-;0;1;1
usePlayerItem 1 r 2
status |
4c71e29bf6581f8992b8c8473c2594d766d4876e | f04d3d47f893de08cd99a31b4870112915b80d5b | /Datasets/australian/data1.tst | 9dc178bdca0f0365285b4578657043ec17d95718 | [] | no_license | MesumRaza/MyWorkInPython | f5364b8514943e44c7200123653da9f4551251b1 | bd8c9b3ca2fb02ae6d2b626054fa3cd32c28b330 | refs/heads/master | 2021-08-19T21:46:41.412995 | 2017-11-27T13:37:52 | 2017-11-27T13:37:52 | 111,728,604 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 5,536 | tst | data1.tst | 1 0.125263 0.409286 0.5 0.230769 0.375 0.055614 0 0 0 1 0.5 0.05 0.01212 class0
0 0.134135 0.25 0.5 0.538462 0.375 0.00578947 0 0 0 0 0.5 0.08 0 class0
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1 0.388421 0.496964 0.5 0.615385 0.375 0.302632 1 1 0.0895522 1 0.5 0.035 0 class1
0 0.511278 0.285714 0.5 0.538462 0.375 0.276316 1 1 0.0895522 1 0.5 0 0.0126 class1
0 0.506316 0.107143 0.5 1 0.375 0.486842 1 1 0.0298507 1 0.5 0.2595 0.01704 class1
1 0.141654 0 0.5 0.923077 0.375 0.00298246 1 0 0 0 0.5 0 0 class1
1 0.132782 0.0535714 0 0.384615 0.375 0.0189474 0 0 0 1 0.5 0.06 0.00067 class0
1 0.195489 0.0401786 0.5 1 0.875 0.0438596 1 0 0 0 0.5 0 0.05298 class1
1 0.745564 0.0192857 0.5 0.538462 0.375 0.0205263 1 1 0.0447761 1 0.5 0.09 0 class0
1 0.150376 0.0148214 0 0.538462 0.375 0.00140351 0 1 0.0298507 0 0.5 0.064 6e-05 class0
0 0.105263 0.366071 0.5 0.769231 0.375 0.0249123 1 1 0.0298507 1 0.5 0.0245 0 class1
0 0.161654 0.0625 0 0.538462 0.375 0.00578947 0 0 0 0 0.5 0.066 0 class0
1 0.036391 0.00142857 0.5 0.538462 0.375 0.00140351 0 0 0 0 0.5 0 0 class1
0 0.236842 0.0714286 0 0.692308 0.875 0.0701754 0 0 0 0 0.5 0.128 0.00017 class0
0 0.587669 0.535714 0.5 0.538462 0.375 0.192982 1 1 0.208955 0 0.5 0 0.022 class1
1 0.279398 0.125 0.5 0.230769 0.375 0.0175439 0 0 0 1 0.5 0.116 0 class0
1 0.110226 0.147321 0 0.153846 0.875 0.00140351 0 0 0 0 0.5 0.07 0.001 class0
1 0.216842 0.00446429 0 0.230769 0.375 0.00298246 0 0 0 0 0.5 0.108 0.021 class0
1 0.0789474 0.0625 0 0.538462 0.375 0.0819298 0 0 0 1 0.5 0.056 6e-05 class0
1 0.20797 0.116071 0 0.769231 0.875 0.178421 0 1 0.0298507 1 0.5 0.1845 1e-05 class0
1 0.211729 0.0535714 0.5 0.615385 0.375 0.0701754 1 1 0.164179 1 0.5 0.217 0.00035 class1
1 0.394737 0.232143 0.5 0.384615 0.5 0.122807 1 1 0.0149254 0 0.5 0 0.005 class1
0 0.354586 0.0892857 0.5 0.153846 0.875 0.00736842 0 0 0 0 0.5 0.13 0.00246 class0
1 0.432331 0.175536 0 0.615385 0.375 0.111053 1 0 0 1 0.5 0.026 0.01442 class1
1 0.646617 0.4375 0.5 0.461538 0.375 0.0438596 1 1 0.0597015 1 0.5 0.1 0 class1
1 0.442406 0.178571 0.5 0.153846 0.5 0.0789474 0 0 0 1 0.5 0.0705 0 class0
0 0.150376 0.0253571 0.5 0.615385 0.375 0.00877193 0 1 0.0149254 1 0.5 0.12 4e-05 class0
1 0.0714286 0.0714286 0.5 0.153846 0.375 0.0526316 1 1 0.0298507 0 0.5 0.06 0.003 class1
0 0.407218 0.125 0.5 0.153846 0.5 0.0175439 0 0 0 0 0 0.58 0 class0
0 0.161654 0.0178571 0.5 0.769231 0.875 0.0526316 1 0 0 0 0.5 0.14 0.00824 class1
1 0.424812 0.349643 0.5 1 0.875 0.279298 1 1 0.119403 0 0.5 0 0 class1
0 0.0864662 0.00589286 0.5 0.769231 0.375 0.00140351 0 0 0 1 0.5 0.19 0 class0
1 0.116541 0.410714 0.5 0.153846 0.375 0.0175439 1 0 0 1 0.5 0.05 0.00068 class0
1 0.263158 0.10125 0.5 0 0 0 0 1 0.0746269 0 0.5 0.088 0.00146 class0
|
37a3d46b0eeee76d987d5009074562768c414e7e | 449d555969bfd7befe906877abab098c6e63a0e8 | /154/DEPENDENCIES/ch14_10.sce | 965dc13c520337c3205b8df0e85163ca9fe355a7 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 565 | sce | ch14_10.sce | clc
disp("Example 14.10")
printf("\n")
s=%s;
//Applying KVL equation to the two loops we get
//V1=3*I1+3*(I1+I2)
//V2=7*I1+3*(I1+I2)+2*I2
//On solving we get
disp("6*I1+3*I2=V1 (1)");
disp("10*I1+5*I2=V2 (2)");
//The equations which contain Z parameters are
//V1=Z11*I1+Z12*I2
//V2=Z21*I1+Z22*I2
//On comparing (1) and (2) with above equations
Z11=6;
Z12=3;
Z21=10;
Z22=5;
disp(Z11,"Z11=")
disp(Z12,"Z12=")
disp(Z21,"Z21=")
disp(Z22,"Z22=")
disp("As DZZ results in zero(0) therefore Y parameters are not defined ")
|
96eaca6652246cd7b10ee7d74f10458bb8b18473 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1544/CH5/EX5.28/Ch05Ex28.sce | 111698cd4fd1587f62ca878b2740269cf388c039 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 1,536 | sce | Ch05Ex28.sce | // Scilab code Ex5.28: Pg 185-186 (2008)
clc; clear;
L_1 = 25e-03; // Self-inductance of first coil, H
L_2 = 40e-03; // Self-inductance of second coil, H
I = 0.25; // Electric current in coils, A
k =0.8; // Coupling coefficient
// Part (a)
W_1 = (L_1*(I^2))/2; // Energy stored in first coil, J
W_2 = (L_2*(I^2))/2; // Energy stored in second coil, J
M = k*sqrt(L_1*L_2); // Mutual inductance of coils
// Part (b)
W_M = M*(I)*(I); // Energy stored due to mutual inductance of coils, J
W_sa = W_1 + W_2 + W_M; // Energy stored by two inductors when connected in series aiding, J
W_so = W_1 + W_2 - W_M; // Energy stored by two inductors when connected in series opposition, J
printf("\nEnergy stored in first coil = %4.2f mJ", W_1/1e-03)
printf("\nEnergy stored in second coil = %4.2f mJ", W_2/1e-03)
printf("\nEnergy stored by two inductors when connected in series aiding = %3.1f mJ", W_sa/1e-03)
printf("\nEnergy stored by two inductors when connected in series opposition = %4.2f mJ", W_so/1e-03)
// Result
// Energy stored in first coil = 0.78 mJ
// Energy stored in second coil = 1.25 mJ
// Energy stored by two inductors when connected in series aiding = 3.6 mJ
// Energy stored by two inductors when connected in series opposition = 0.45 mJ
|
1bbc6bdd7c98bf768c00266b95c997308e30d35d | 449d555969bfd7befe906877abab098c6e63a0e8 | /1322/CH16/EX16.9/128ex1.sce | ec95ef67889d1cde9315b8d0ef7993914b437edd | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 159 | sce | 128ex1.sce |
clear;
clc;
close;
clf;
x=linspace(-3,4,8);
y=(x-1)^2;
plot2d(x,y,3);
xtitle("Curve of y=(x-1)^2","x axis","y axis");
legend("y=(x-1)^2");
xgrid();
|
2fedf1e12289419012148d134dea9dccaca9a1f0 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3774/CH8/EX8.7/Ex8_7.sce | 002a1565f5e233687acfffe3645c6893bd879a77 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 1,918 | sce | Ex8_7.sce | // exa 8.7 Pg 232
clc;clear;close;
// Given Data
dv=30;// mm
Wv=10;// N
Wl=25;// N
lf=100;// mm
del1=20;// mm
p=3.5;// N/mm.sq.
valve_lift=2;// mm
C=6;// spring index
tau=500;// N/mm.sq.
G=0.84*10**5;// N/mm.sq.
W=(%pi/4)*dv**2*p;// N (load on the valve at operating condition)
W1=W-Wv;//N (Net load on the valve at operating condition)
//W1*100=Wl*150+S1*200+P*300 // taking momens about the fulcrum
//S1*200+P*300=W1*100-Wl*150 ...eqn(1)
valve_lift=20*100/200;// mm //from figure (when spring is extended by 20 mm)
spring_extension=2*200/100;// mm // from figure (when valve is lifted 2 mm)
valve_load=W*12/10;// N // (when valve is lifted 2 mm)
W2=valve_load-Wv;// N // (when valve is lifted 2 mm)
del2=del1+4;// mm (when valve is lifted)
//S2=S1*del2/del1;// spring force when valve is lifted
//S1*del2/del1-s2=0 ... eqn(1)
//W2*100=Wl*150+S2*200+P*300 // taking momens about the fulcrum
//S2*200+P*300 =W2*100-Wl*150 ... eqn(2)
//S1*200+P*300=W1*100-Wl*150 ...eqn(3)
// solving above 3 eqn. by matrix method
A=[del2/del1 -1 0;200 0 300;0 200 300];
B=[0;W1*100-Wl*150;W2*100-Wl*150];
X=A**-1*B;// solution matrix
S1=X(1);// N
S2=X(2);// N
printf('\n Spring force when valve is lifted = %.1f N',S2)
printf('\n\n Design of spring - ')
k=(S2-S1)/(del2-del1);// N/mm (Spring stiffness)
printf('\n Spring stiffness = %.2f N/mm',k)
Kw=(4*C-1)/(4*C-4)+0.615/C;// Wahl's correction factor
printf('\n Wahl''s correction factor = %.4f',Kw)
// tau=Kw*8*S2*C/%pi/d**2 max. shear stress
d=sqrt(Kw*8*S2*C/%pi/tau);// mm (spring diameter)
printf('\n spring diameter = %.2f mm or %.f mm',d,d)
d=ceil(d);// mm
// k=G*d/(8*C**3*n) (Spring stiffness)
n=G*d/(8*C**3*k);// no. of active coils
printf('\n no. of active coils = %.2f. Use n=7',n)
n=ceil(n);// rounding
nt=n+1;// total no. of active coils
printf('\n total no. of active coils = %.f',nt)
p=lf/(n-1);// mm (pitch of coils)
printf('\n pitch of coils = %.2f mm',p)
|
ff4fd70c0f1aab28c15ce7385ca288a430069787 | 348b83f2cd32e6616b86e704a374661890d58cda | /op_wave.sce | 7e8fb49a71a4263155f1802560582252a8bb2439 | [] | no_license | YashGandhi17/Scilab | 012b35caad56d0c7600b9a207956e25774339c66 | 6d509dc17afe2ca32376df795693c84f94e3f360 | refs/heads/master | 2020-04-07T03:13:24.046967 | 2018-11-17T17:24:44 | 2018-11-17T17:24:44 | 157,837,866 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 315 | sce | op_wave.sce | function[So,N]=fn_op_wave(n,S,O,varargin)
select O
case 1 then
N = [n+varargin(1)] ;
So = [S];
case 2 then
N=[(-1)*(n)];
So=[S];
case 3 then
N=[n/varargin(1)];
So=[S];
end
endfunction
|
028dc95abe5db2cf86705f8dcc18733ef8f63f86 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1928/CH2/EX2.21.6/ex2_21_6.sce | 6bfd7353d63641af4af99b2abad9e07b7d074e2f | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 496 | sce | ex2_21_6.sce | //Chapter-2,Example2_21_6,pg 2-49
c=5*10^28 //concentration of Si atoms
e=1.6*10^-19 //charge on electron
u=0.048 //mobility of hole
s=4.4*10^-4 //conductivity of Si
//since millionth Si atom is replaced by an indium atom
n=c*10^-6
sp=u*e*n //conductivity of resultant
printf("conductivity =")
disp(sp)
printf("mho/m") |
3a27f573c366dd04d5b51e6b49475c7105f2acd0 | 127061b879bebda7ce03f6910c80d0702ad1a713 | /Structure/PIL_uc_nb.sci | 29fcb52e00602c867b7ad22b3b07981eb1d217f0 | [] | no_license | pipidog/PiLib-Scilab | 961df791bb59b9a16b3a32288f54316c6954f128 | 125ffa71b0752bfdcef922a0b898263e726db533 | refs/heads/master | 2021-01-18T20:30:43.364412 | 2017-08-17T00:58:50 | 2017-08-17T00:58:50 | 100,546,695 | 0 | 1 | null | null | null | null | UTF-8 | Scilab | false | false | 4,532 | sci | PIL_uc_nb.sci | // **** Purpose ****
// finds the surrounding sites of a unitcell up to Nth order
// **** Variables ****
// [primitive]: 3x3 / 2x2 / 1x1, real
// <= the primitive vectros in row
// [sublatt]: nx3 / nx2 / nx1, real
// <= the (x,y,z) cartisian coordinate of sublattices in the unitcell
// [vec_order]: 1x1, integer
// <= c1*a1+c2*a2+c3*a3, if vec_order=2, then it lists all neighbors
// within -2 <= [c1,c2,c3] <= +2, must larger than 1
// [NN_criterion]: 1x1, real
// <= criterion of labeling the NN order. if the difference between
// is small than this valus, they are consider as the same NN order.
// [NN_order]:1x1, int
// <= neighbor order higer than this will be ignored in surr_site.
// [surr_site]: list(total_sublatt) -> total_nb x 9 x , real
// => the surrounding sites of that sublattice up to N-th vec_order
// [nn_order,distant, sublattice label, n1, n2, n3, x, y, z]
// r=n1*a1+n2*a2+n3*a3+(sublatt(n,:))=[x,y,z]
// **** Version ****
// 05/01/2014 first built
// 05/20/2014 full rewrite, performance improved, accept low dimension
// ba_ratio, ca_ratio inputs removed.
// 05/29/2014 fix bug, distant equal set to 10^(-6);
// 06/03/2014 fix bug, surr_site may have different for each sublatt,
// so surr_site has been modified to list-type!
// 01/07/2016 add vec_order and NN_criterion. So the degree of search
// is defined by user. Performance and readability have
// also much improved.
// **** Comment ****
// 1. This function accepts low dimension input. e.g , if your premitive
// cell and sublatt are two dimenstion vectors, the code will
// generate surr_site table with n3 and z as zero. Use it carefully.
// 2. One should tune vec_order to make sure the nn_order is correct
// for high order NNs.
// 3. NN: n-th neighbors
// 4. Don't put too regious value to NN_criterion, it should be around
// 0.1 to get reasonable results
function [surr_site]=PIL_uc_nb(primitive,sublatt,vec_order,NN_criterion,NN_order);
// variable check
if length(primitive(1,:))~=length(sublatt(1,:)) then
disp('Error: PIL_uc_nb, dimeisnion inconsistent!');
abort;
end
if vec_order <1 then
disp('Error: PIL_uc_nb, vec_order must be greater than 1')
abort
end
// generate unit cell index
dim=length(primitive(1,:));
tot_sublat=length(sublatt(:,1));
select dim
case 3
loop_index=PIL_nest_loop([-vec_order,vec_order;-vec_order,vec_order;-vec_order,vec_order])
case 2
loop_index=PIL_nest_loop([-vec_order,vec_order;-vec_order,vec_order])
case 1
loop_index=PIL_nest_loop([-vec_order,vec_order])
end
// search all sites reside in the super cell
count=0;
site_pos=zeros(tot_sublat*(2*vec_order+1)^dim,7);
for n=1:length(loop_index(:,1))
rc=loop_index(n,:)*primitive;
for m=1:tot_sublat
count=count+1;
site_pos(count,1:4)=[m,loop_index(n,:)];
site_pos(count,5:7)=PIL_vec_3d(rc+sublatt(m,:));
end
end
// construct surr_site
tot_site=length(site_pos(:,1));
surr_site=list();
for n=1:tot_sublat
surr_site(n)=zeros(tot_site,9)
//[nn_order,distant, sublattice label, n1, n2, n3, x, y, z]
for m=1:tot_site
d=norm(site_pos(m,5:7)-sublatt(n,:));
surr_site(n)(m,:)=[0,d,site_pos(m,:)]
end
surr_site(n)=PIL_lsort(surr_site(n),'c',[2:9,1],'i')
// label order
order=0;
for m=2:tot_site
if ((surr_site(n)(m,2)-surr_site(n)(m-1,2))) >= NN_criterion then
order=order+1;
end
if order > NN_order then
// quit for higher order neighbors
surr_site(n)=surr_site(n)(1:m-1,:);
break;
else
// label neighbor order
surr_site(n)(m,1)=order;
end
end
// reorder based based on sublatt label
surr_site(n)=PIL_lsort(surr_site(n),'c',[1,3:9,2],'i')
end
endfunction
// examples of this function: (TaAs structure)
//primitive=.. // data from ab initio
//[ 6.305100000 0.000000000 0.000000000;..
// 4.439200000 4.477400000 0.000000000;..
// -5.372100000 -2.238700000 2.425300000 ]
//sublatt=..
//[0.00000 0.00000 0.00000;..
// 3.15258 0.00000 1.21265;..
// 4.48037 1.86708 0.00000;..
// 1.32785 1.86708 1.21265]
//
//vec_order=1
//NN_criterion=0.1
|
d6a41ba1ccd8abdd9679d76282f518e33d3d3e49 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1784/CH48/EX48.5/example_5.sce | 2648801269f661d38887f10ab5800a244fd218b5 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 267 | sce | example_5.sce | //Example 5
//given
m=9.1*(10^-31)//in kg
v=300//in m/s
h=6.6*(10^-34)// in j-s
p=m*v
disp("The electrom momentum in kg-m/s=")
disp(p)
delta_p=(0.0001)*p
disp("delta_p in kg-m/s=")
disp(delta_p)
delta_x=(h/delta_p)
disp("Minimum uncertainaity in m=")
disp(delta_x)
|
6b7497b1e78a121acbb1d9a1e03f98f19a651820 | 527c41bcbfe7e4743e0e8897b058eaaf206558c7 | /Positive_Negative_test/Netezza-Base-MaximumLikelihoodEstimation/FLMLEChiSqUdt-NZ-01.tst | 13c2515c3a647ec98d8968c26f693c2985456308 | [] | no_license | kamleshm/intern_fuzzy | c2dd079bf08bede6bca79af898036d7a538ab4e2 | aaef3c9dc9edf3759ef0b981597746d411d05d34 | refs/heads/master | 2021-01-23T06:25:46.162332 | 2017-07-12T07:12:25 | 2017-07-12T07:12:25 | 93,021,923 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 61,440 | tst | FLMLEChiSqUdt-NZ-01.tst | -- Fuzzy Logix, LLC: Functional Testing Script for DB Lytix functions on Netezza
--
-- Copyright (c): 2014 Fuzzy Logix, LLC
--
-- NOTICE: All information contained herein is, and remains the property of Fuzzy Logix, LLC.
-- The intellectual and technical concepts contained herein are proprietary to Fuzzy Logix, LLC.
-- and may be covered by U.S. and Foreign Patents, patents in process, and are protected by trade
-- secret or copyright law. Dissemination of this information or reproduction of this material is
-- strictly forbidden unless prior written permission is obtained from Fuzzy Logix, LLC.
-- Functional Test Specifications:
--
-- Test Category: Basic Statistics
--
-- Test Unit Number: FLMLEChiSqUdt-NZ-01.tst
--
-- Name(s): FLMLEChiSqUdt
--
-- Description: Fit a ChiSq distribution
--
-- Applications:
--
-- Signature:
--
-- Parameters: See Documentation
--
-- Return value: Table
--
-- Last Updated: 07-06-2017
--
-- Author: Positive test cases: <Zhi.Wang@fuzzyl.com>
-- Negative test cases: <Joe.Fan@fuzzyl.com>
-- Netezza test cases: <Anurag.Reddy@fuzzyl.com>
-- Kamlesh Meena
--
-- BEGIN: TEST SCRIPT
\time
--.RUN file=../PulsarLogOn.sql
--.SET WIDTH 1000
--SET ROLE ALL;
-- BEGIN: NEGATIVE TEST(s)
---- Initialize Fit Distribution test
-- Initialize tblSimDistMap
DROP TABLE tblSimDistMap IF EXISTS;
CREATE TABLE tblSimDistMap
(
NewGroupID BIGINT,
Distribution VARCHAR(100),
GroupID BIGINT
)
DISTRIBUTE ON(NewGroupID);
INSERT INTO tblSimDistMap
(Distribution, GroupID, NewGroupID)
SELECT a.Distribution,
a.GroupID,
ROW_NUMBER() OVER (ORDER BY a.tbl, a.Distribution, a.GroupID) AS NewGroupID
FROM (
SELECT DISTINCT 1 AS tbl, a.Distribution, GroupID
FROM tblMLETest1 a
Union ALL
SELECT DISTINCT 2 AS tbl, a.Distribution, GroupID
FROM tblMLETest2 a
) a;
-- Initialize tblSimDistFloat
DROP TABLE tblSimDistFloat IF EXISTS;
CREATE TABLE tblSimDistFloat
(
NewGroupID BIGINT,
Distribution VARCHAR(100),
GroupID BIGINT,
Num_Val DOUBLE PRECISION
)
DISTRIBUTE ON (NewGroupID);
INSERT INTO tblSimDistFloat
(NewGroupID, Distribution, GroupID, Num_Val)
SELECT b.NewGroupID,
a.Distribution,
a.GroupID,
a.Num_Val
FROM tblMLETest1 a,
tblSimDistMap b
WHERE a.Distribution = b.Distribution And a.GroupID = b.GroupID
Union ALL
SELECT b.NewGroupID,
a.Distribution,
a.GroupID,
CAST(a.Num_Val AS DOUBLE PRECISION)
FROM tblMLETest2 a,
tblSimDistMap b
WHERE a.Distribution = b.Distribution AND a.GroupID = b.GroupID;
-- Initialize tblSimDistInt
DROP TABLE tblSimDistInt IF EXISTS;
CREATE TABLE tblSimDistInt
(
NewGroupID BIGINT,
Distribution VARCHAR(100),
GroupID BIGINT,
Num_Val INTEGER
)
DISTRIBUTE ON(NewGroupID);
INSERT INTO tblSimDistInt
(NewGroupID, Distribution, GroupID, Num_Val)
SELECT b.NewGroupID,
a.Distribution,
a.GroupID,
CAST(a.Num_Val AS INTEGER)
FROM tblMLETest1 a,
tblSimDistMap b
WHERE a.Distribution = b.Distribution And a.GroupID = b.GroupID
Union ALL
SELECT b.NewGroupID,
a.Distribution,
a.GroupID,
a.Num_Val
FROM tblMLETest2 a,
tblSimDistMap b
WHERE a.Distribution = b.Distribution AND a.GroupID = b.GroupID;
---- Case 1: Stress test with different distributions (Num_Val is DOUBLE PRECISION)
-- Case 1a: Fit FLMLEChiSqUdt onto Beta distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Beta')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1b: Fit FLMLEChiSqUdt onto Bradford distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Bradford')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1c: Fit FLMLEChiSqUdt onto Burr distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Burr')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1d: Fit FLMLEChiSqUdt onto Cauchy distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Cauchy')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1e: Fit FLMLEChiSqUdt onto Chi distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Chi')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1f: Fit FLMLEChiSqUdt onto ChiSq distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('ChiSq')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1g: Fit FLMLEChiSqUdt onto Cosine distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Cosine')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1h: Fit FLMLEChiSqUdt onto DoubleGamma distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('DoubleGamma')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1i: Fit FLMLEChiSqUdt onto DoubleWeibull distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('DoubleWeibull')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1j: Fit FLMLEChiSqUdt onto Erlang distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Erlang')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1k: Fit FLMLEChiSqUdt onto Exponential distribution
WITH z (GroupID, Num_Val) AS
(
SELECT a.NewGroupID,
a.Num_Val
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Exponential')
)
SELECT b.Distribution (FORMAT 'XXXXXXXXXXXXXXX'),
b.GroupID,
a.*
FROM TABLE (FLMLEChiSqUdt(z.GroupID, z.Num_Val)
HASH BY z.GroupID
LOCAL ORDER BY z.GroupID,z.Num_Val) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1l: Fit FLMLEChiSqUdt onto ExtremeLB distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('ExtremeLB')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1m: Fit FLMLEChiSqUdt onto Fisk distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Fisk')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1n: Fit FLMLEChiSqUdt onto FoldedNormal distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('FoldedNormal')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1o: Fit FLMLEChiSqUdt onto Gamma distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Gamma')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1p: Fit FLMLEChiSqUdt onto GenLogistic distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('GenLogistic')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1q: Fit FLMLEChiSqUdt onto Gumbel distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Gumbel')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1r: Fit FLMLEChiSqUdt onto HalfNormal distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('HalfNormal')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1s: Fit FLMLEChiSqUdt onto HypSecant distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('HypSecant')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1t: Fit FLMLEChiSqUdt onto InvGamma distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('InvGamma')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1u: Fit FLMLEChiSqUdt onto InvNormal distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('InvNormal')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1v: Fit FLMLEChiSqUdt onto Laplace distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Laplace')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1w: Fit FLMLEChiSqUdt onto Logistic distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Logistic')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1x: Fit FLMLEChiSqUdt onto LogNormal distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('LogNormal')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1y: Fit FLMLEChiSqUdt onto Maxwell distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Maxwell')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1z: Fit FLMLEChiSqUdt onto Normal distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Normal')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1aa: Fit FLMLEChiSqUdt onto Pareto distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Pareto')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1ab: Fit FLMLEChiSqUdt onto Power distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Power')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1ac: Fit FLMLEChiSqUdt onto Rayleigh distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Rayleigh')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1ad: Fit FLMLEChiSqUdt onto Reciprocal distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Reciprocal')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1ae: Fit FLMLEChiSqUdt onto Semicircular distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Semicircular')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1af: Fit FLMLEChiSqUdt onto StudentsT distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('StudentsT')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1ag: Fit FLMLEChiSqUdt onto TransBeta distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('TransBeta')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1ah: Fit FLMLEChiSqUdt onto Triangular distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Triangular')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1ai: Fit FLMLEChiSqUdt onto Uniform distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Uniform')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1aj: Fit FLMLEChiSqUdt onto Weibull distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Weibull')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1ak: Fit FLMLEChiSqUdt onto Binomial distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Binomial')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1al: Fit FLMLEChiSqUdt onto Geometric distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Geometric')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1am: Fit FLMLEChiSqUdt onto Logarithmic distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Logarithmic')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1an: Fit FLMLEChiSqUdt onto NegBinomial distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('NegBinomial')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 1ao: Fit FLMLEChiSqUdt onto Poisson distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistFloat a
WHERE UPPER(a.Distribution) = UPPER('Poisson')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
---- Case 2: Stress test with different distributions (Num_Val is INTEGER)
-- Case 2a: Fit FLMLEChiSqUdt onto Beta distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Beta')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2b: Fit FLMLEChiSqUdt onto Bradford distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Bradford')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2c: Fit FLMLEChiSqUdt onto Burr distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Burr')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2d: Fit FLMLEChiSqUdt onto Cauchy distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Cauchy')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2e: Fit FLMLEChiSqUdt onto Chi distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Chi')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2f: Fit FLMLEChiSqUdt onto ChiSq distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('ChiSq')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2g: Fit FLMLEChiSqUdt onto Cosine distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Cosine')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2h: Fit FLMLEChiSqUdt onto DoubleGamma distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('DoubleGamma')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2i: Fit FLMLEChiSqUdt onto DoubleWeibull distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('DoubleWeibull')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2j: Fit FLMLEChiSqUdt onto Erlang distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Erlang')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2k: Fit FLMLEChiSqUdt onto Exponential distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Exponential')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2l: Fit FLMLEChiSqUdt onto ExtremeLB distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('ExtremeLB')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2m: Fit FLMLEChiSqUdt onto Fisk distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Fisk')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2n: Fit FLMLEChiSqUdt onto FoldedNormal distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('FoldedNormal')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2o: Fit FLMLEChiSqUdt onto Gamma distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Gamma')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2p: Fit FLMLEChiSqUdt onto GenLogistic distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('GenLogistic')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2q: Fit FLMLEChiSqUdt onto Gumbel distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Gumbel')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2r: Fit FLMLEChiSqUdt onto HalfNormal distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('HalfNormal')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2s: Fit FLMLEChiSqUdt onto HypSecant distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('HypSecant')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2t: Fit FLMLEChiSqUdt onto InvGamma distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('InvGamma')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2u: Fit FLMLEChiSqUdt onto InvNormal distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('InvNormal')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2v: Fit FLMLEChiSqUdt onto Laplace distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Laplace')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2w: Fit FLMLEChiSqUdt onto Logistic distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Logistic')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2x: Fit FLMLEChiSqUdt onto LogNormal distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('LogNormal')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2y: Fit FLMLEChiSqUdt onto Maxwell distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Maxwell')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2z: Fit FLMLEChiSqUdt onto Normal distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Normal')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2aa: Fit FLMLEChiSqUdt onto Pareto distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Pareto')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2ab: Fit FLMLEChiSqUdt onto Power distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Power')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2ac: Fit FLMLEChiSqUdt onto Rayleigh distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Rayleigh')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2ad: Fit FLMLEChiSqUdt onto Reciprocal distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Reciprocal')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2ae: Fit FLMLEChiSqUdt onto Semicircular distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('SemiCircular')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2af: Fit FLMLEChiSqUdt onto StudentsT distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('StudentsT')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2ag: Fit FLMLEChiSqUdt onto TransBeta distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('TransBeta')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2ah: Fit FLMLEChiSqUdt onto Triangular distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Triangular')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2ai: Fit FLMLEChiSqUdt onto Uniform distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Uniform')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2aj: Fit FLMLEChiSqUdt onto Weibull distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Weibull')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2ak: Fit FLMLEChiSqUdt onto Binomial distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Binomial')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2al: Fit FLMLEChiSqUdt onto Geometric distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Geometric')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2am: Fit FLMLEChiSqUdt onto Logarithmic distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Logarithmic')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2an: Fit FLMLEChiSqUdt onto NegBinomial distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('NegBinomial')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 2ao: Fit FLMLEChiSqUdt onto Poisson distribution
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistInt a
WHERE UPPER(a.Distribution) = UPPER('Poisson')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
---- Case 3: Num_Val is constant (zero, one, 2^30)
-- Case 3a: Num_Val is constant (zero)
CREATE OR REPLACE VIEW vwSimDist AS
SELECT a.NewGroupID,
a.Distribution,
a.GroupID,
0 AS Num_Val
FROM tblSimDistFloat a
WHERE a.Distribution = 'ChiSq';
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM vwSimDist a
WHERE UPPER(a.Distribution) = UPPER('ChiSq')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 3b: Num_Val is constant (one)
CREATE OR REPLACE VIEW vwSimDist AS
SELECT a.NewGroupID,
a.Distribution,
a.GroupID,
1 AS Num_Val
FROM tblSimDistFloat a
WHERE a.Distribution = 'ChiSq';
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM vwSimDist a
WHERE UPPER(a.Distribution) = UPPER('ChiSq')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 3c: Num_Val is constant (2^30)
CREATE OR REPLACE VIEW vwSimDist AS
SELECT a.NewGroupID,
a.Distribution,
a.GroupID,
2**30 AS Num_Val
FROM tblSimDistFloat a
WHERE a.Distribution = 'ChiSq';
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM vwSimDist a
WHERE UPPER(a.Distribution) = UPPER('ChiSq')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
---- Case 4: Num_Val is very large
-- Case 4a: Num_Val is very large (100% of array)
CREATE OR REPLACE VIEW vwSimDist AS
SELECT a.NewGroupID,
a.Distribution,
a.GroupID,
1000000 * a.Num_Val AS Num_Val
FROM tblSimDistFloat a
WHERE a.Distribution = 'ChiSq';
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM vwSimDist a
WHERE UPPER(a.Distribution) = UPPER('ChiSq')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 4b: Num_Val is very large (50% of array)
CREATE OR REPLACE VIEW vwSimDist AS
SELECT a.NewGroupID,
a.Distribution,
a.GroupID,
CASE WHEN CAST(RANDOM() AS INT) = 1 THEN 1000000 ELSE 1 END * a.Num_Val AS Num_Val
FROM tblSimDistFloat a
WHERE a.Distribution = 'ChiSq';
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM vwSimDist a
WHERE UPPER(a.Distribution) = UPPER('ChiSq')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 4c: Num_Val is very large (10% of array)
CREATE OR REPLACE VIEW vwSimDist AS
SELECT a.NewGroupID,
a.Distribution,
a.GroupID,
CASE WHEN CAST((RANDOM()*9 + 1) AS INT) = 1 THEN 1000000 ELSE 1 END * a.Num_Val AS Num_Val
FROM tblSimDistFloat a
WHERE a.Distribution = 'ChiSq';
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM vwSimDist a
WHERE UPPER(a.Distribution) = UPPER('ChiSq')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
---- Case 5: Num_Val contains NULL
-- Case 5a: 10% of values are NULL
CREATE OR REPLACE VIEW vwSimDist AS
SELECT a.NewGroupID,
a.Distribution,
a.GroupID,
CASE WHEN CAST((RANDOM()*9 + 1) AS INT) = 1 THEN NULL ELSE a.Num_Val END AS Num_Val
FROM tblSimDistFloat a
WHERE a.Distribution = 'ChiSq';
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM vwSimDist a
WHERE UPPER(a.Distribution) = UPPER('ChiSq')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
-- Case 5b: 100% of values are NULL
CREATE OR REPLACE VIEW vwSimDist AS
SELECT a.NewGroupID,
a.Distribution,
a.GroupID,
NULL AS Num_Val
FROM tblSimDistFloat a
WHERE a.Distribution = 'ChiSq';
SELECT b.Distribution,
b.GroupID,
a.*
FROM ( SELECT a.NewGroupID,
a.Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM vwSimDist a
WHERE UPPER(a.Distribution) = UPPER('ChiSq')) AS z,
TABLE (FLMLEChiSqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistMap b
WHERE a.GroupID = b.NewGroupID
ORDER BY 1,2;
--case 6
---Test case without local order by numval
--NA for NZ
---- Drop tables after Pulsar test for fit distribution function
DROP TABLE tblSimDistFloat;
DROP TABLE tblSimDistInt;
DROP TABLE tblSimDistMap;
DROP VIEW vwSimDist;
-- END: NEGATIVE TEST(s)
-- BEGIN: POSITIVE TEST(s)
---- Positive Test 1
SELECT b.Nobs AS Nobs,
a.DegreeOfFreedom AS Est_Df,
b.Param1 AS Df,
CASE WHEN ABS(a.DegreeOfFreedom - b.Param1)/b.Param1 < 0.5 THEN 'Passed' ELSE 'Check' END AS Hint
FROM ( SELECT a.GroupID,
a.Num_Val,
a.Distribution,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM tblSimDistR a,
tblSimDistRParams b
WHERE UPPER(a.Distribution) = UPPER('ChiSq')
AND UPPER(b.Distribution) = UPPER('ChiSq')
AND a.GroupID = b.GroupID) AS z,
TABLE (FLMLEChiSqUdt(z.GroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a,
tblSimDistRParams AS b
WHERE a.GroupID = b.GroupID
AND b.Distribution='ChiSq'
ORDER BY 3, 1;
---- Positive Test 2 TD-85 Teradata mistake
CREATE VIEW view_chisq_100 AS
SELECT 1 AS GroupID,a.SerialVal AS ObsID, FLSimChiSq(RANDOM()*10e9,6) AS NumVal
FROM fzzlSerial a
WHERE a.SerialVal <= 100;
CREATE VIEW view_chisq_1000 AS
SELECT 1 AS GroupID,a.SerialVal AS ObsID, FLSimChiSq(RANDOM()*10e9,6) AS NumVal
FROM fzzlSerial a
WHERE a.SerialVal <= 1000;
CREATE VIEW view_chisq_10000 AS
SELECT 1 AS GroupID,a.SerialVal AS ObsID, FLSimChiSq(RANDOM()*10e9,6) AS NumVal
FROM fzzlSerial a
WHERE a.SerialVal <= 10000;
---- Positive Test 2a
SELECT a.*
FROM ( SELECT a.GroupID AS NewGroupID,
a.NumVal AS Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM view_chisq_100 a) AS z,
TABLE (FLMLEchisqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a;
---- Positive Test 2b
SELECT a.*
FROM ( SELECT a.GroupID AS NewGroupID,
a.NumVal AS Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM view_chisq_1000 a) AS z,
TABLE (FLMLEchisqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a;
---- Positive Test 2c
SELECT a.*
FROM ( SELECT a.GroupID AS NewGroupID,
a.NumVal AS Num_Val,
NVL(LAG(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS begin_flag,
NVL(LEAD(0) OVER (PARTITION BY a.GroupID ORDER BY a.GroupID), 1) AS end_flag
FROM view_chisq_10000 a) AS z,
TABLE (FLMLEchisqUdt(z.NewGroupID, z.Num_Val, z.begin_flag, z.end_flag)) AS a;
DROP VIEW view_chisq_100;
DROP VIEW view_chisq_1000;
DROP VIEW view_chisq_10000;
-- END: POSITIVE TEST(s)
\time
--END SCRIPT
|
2118f584e264e9510d1d47845fd74e810d76e03a | 449d555969bfd7befe906877abab098c6e63a0e8 | /764/CH2/EX2.1.b/solution2_1.sce | ab892e3cbf561ae12b1fbfd917eb8f94c3e885e7 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 2,626 | sce | solution2_1.sce |
//Obtain path of solution file
path = get_absolute_file_path('solution2_1.sce')
//Obtain path of data file
datapath = path + filesep() + 'data2_1.sci'
//Clear all
clc
//Execute the data file
exec(datapath)
//Calculate weightage points for all materials
//U - Ultimate tensile strength, H - Hardenability index, C - Cost
//Store the summations of each category in Uweigh, Hweigh and Cweigh respectively
Uweigh = 0
Hweigh = 0
Cweigh = 0
for i = 1:1:4
Uweigh = Uweigh + U(i)
Hweigh = Hweigh + H(i)
Cweigh = Cweigh + (C(i)^(-1))
end
//Store percent strength for each material in Uper, Hper and Cper arrays according to respective categories
//Store points for each material in Up, Hp and Cp arrays according to respective categories
for i = 1:1:4
Uper(i) = U(i)/Uweigh
Up(i) = Uper(i) * Uw
Hper(i) = H(i)/Hweigh
Hp(i) = Hper(i) * Hw
Cper(i) = (C(i)^(-1))/Cweigh
Cp(i) = Cper(i) * Cw
end
//Store total points for each material in t array
for i = 1:1:4
t(i) = Up(i) + Hp(i) + Cp(i)
end
//Print result table. Refer Table 2.14 on page 53
printf('\n\t|Material Property\t|Low alloy steel\t|Plain carbon steel\t|Stainless steel\t|Chromium steel\n')
printf('\na)\tTensile Strength')
printf('\n\tPer cent')
for i = 1:1:4
printf('\t\t%0.3f\t',Uper(i))
end
printf('\n\tPoints')
for i = 1:1:4
printf('\t\t\t%0.3f',Up(i))
end
printf('\n\nb)\tHardenability')
printf('\n\tPer cent')
for i = 1:1:4
printf('\t\t%0.3f\t',Hper(i))
end
printf('\n\tPoints')
for i = 1:1:4
printf('\t\t\t%0.3f',Hp(i))
end
printf('\n\nc)\tCost')
printf('\n\tPer cent')
for i = 1:1:4
printf('\t\t%0.3f\t',Cper(i))
end
printf('\n\tPoints')
for i = 1:1:4
printf('\t\t\t%0.3f',Cp(i))
end
printf('\n\n\tTotal Points')
for i = 1:1:4
printf('\t\t%0.3f\t',t(i))
end
//Store all values of t in s array
for i = 1:1:4
s(i) = t(i)
end
//Find the material with largest value of total points using s array
for i = 1:1:3
if (s(i)>s(i+1)) then
s(i+1) = s(i)
end
end
//Largest value is obtained when i becomes 3 and the value is stored in s(i+1)
//Display the best material
choice = s(i+1)
if(choice == t(1))
printf('\n\nLow alloy steel is the best material for the component\n')
else if (choice == t(2))
printf('\n\nPlain carbon steel is the best material for the component\n')
else if (choice == t(3))
printf('\n\nStainless steel is the best material for the component\n')
else
printf('\n\nChromium steel is the best material for the component\n')
end
|
ef468f1f4f5508f1cf3c0c1dbd201a0dbb33535d | 449d555969bfd7befe906877abab098c6e63a0e8 | /1958/CH13/EX13.1/Chapter13_example1.sce | c6bf8518f83895fc8c43b7439da728f6be76e24f | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 284 | sce | Chapter13_example1.sce | clc
clear
//Input data
Vm=100//Maximum voltage in V
R=50//resitance in ohms
//Calculations
Vrms=(Vm/sqrt(2))//rms voltage in V
Irms=(Vrms/R)//rms current in A
Im=(Vm/R)//Maximum current in A
//Output
printf('rms current is %3.2f A and maximum current is %i A',Irms,Im)
|
43e03fcfb15fbd1378307ef824541e7badfc0f83 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2384/CH1/EX1.1/ex1_1.sce | 0d243ea80fe49cd18c5d8c166cf384f9adb74d7c | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 735 | sce | ex1_1.sce | // Exa 1.1
clc;
clear;
close;
format('v',5)
// Given data
R1=4;// in ohm
R2= 6;// in ohm
R3= 2;// in ohm
V1= 24;// in V
V2= 12;// in V
// Applying KVL in Mesh ABEFA, V1 = (R1+R3)*I1 - R3*I2 (i)
// Applying KVL in Mesh BCDEB, V2 = R3*I1 - (R2+R3)*I2 (ii)
A= [(R1+R3) R3;-R3 -(R2+R3)];// assumed
B= [V1 V2];// assumed
I= B*A^-1;// Solving equations by matrix multiplication
I1= I(1);// in A
I2= I(2);// in A
disp(I1,"The current through 4 ohm resistor in A is");
// current through 2 ohm resistor
I= I1-I2;// in A
disp(I,"The current through 2 ohm resistor in A is");
disp(I2,"The current through 6 ohm resistor in A is");
disp("That is "+string(abs(I2))+" A current flows in 6 ohm resistor from C to B")
|
3ef58289c246f63d29d06e21a652987d8b4569c3 | 8217f7986187902617ad1bf89cb789618a90dd0a | /source/2.1.1/demos/lmitool/bigM.sci | 5ddc71e199bad2894b55df708c42853de969491e | [
"LicenseRef-scancode-public-domain",
"LicenseRef-scancode-warranty-disclaimer",
"MIT"
] | permissive | clg55/Scilab-Workbench | 4ebc01d2daea5026ad07fbfc53e16d4b29179502 | 9f8fd29c7f2a98100fa9aed8b58f6768d24a1875 | refs/heads/master | 2023-05-31T04:06:22.931111 | 2022-09-13T14:41:51 | 2022-09-13T14:41:51 | 258,270,193 | 0 | 1 | null | null | null | null | UTF-8 | Scilab | false | false | 3,242 | sci | bigM.sci | function [x,Z,z,ul,iters]=bigM(F,blck_szs,c,x0,M,nu,abstol,reltol,tv,maxiters);
// [x,Z,z,ul,iters]=bigM(F,blck_szs,c,x0,M,nu,abstol,reltol,tv,maxiters);
//
// minimize c^T x
// subject to F(x) = F0 + x1*F1 + ... + xm*Fm >= 0
// Tr F(x) <= M
//
// maximize -Tr F0*(Z-zI) - Mz
// subject to Tr Fi*(Z-zI) = c_i
// Z >= 0, z>= 0
//
// Convergence criteria:
// (1) maxiters is exceeded
// (2) duality gap is less than abstol
// (3) primal and dual objective are both positive and
// duality gap is less than (reltol * dual objective)
// or primal and dual objective are both negative and
// duality gap is less than (reltol * minus the primal objective)
// (4) reltol is negative and
// primal objective is less than tv or dual objective is greater
// than tv
//
// Input arguments:
// F: (sum_i n_i^2) times (m+1) matrix
// [ F_0^1(:) F_1^1(:) ... F_m^1(:) ]
// [ F_0^2(:) F_1^2(:) ... F_m^2(:) ]
// ... ... ...
// [ F_0^L(:) F_1^L(:) ... F_m^L(:) ]
// F_i^j: jth block of F_i, size n_i times n_i.
// blck_szs: L-vector [n_1 ... n_L], dimensions of diagonal blocks.
// c: m-vector. Specifies primal objective.
// x0: m-vector. The primal starting point. F(x0) > 0.
// M: scalar. M > Tr F(x0).
// nu: >= 1.0. Controls the rate of convergence.
// abstol: absolute tolerance.
// reltol: relative tolerance. Has a special meaning when negative.
// tv: target value.
// maxiters: maximum number of iterations.
//
// Output arguments:
// x: m-vector; last primal iterate.
// Z: last dual iterate; block-diagonal matrix stored as
// [ Z^1(:); Z^2(:); ... ; Z^L(:) ].
// z: scalar part of last dual iterate.
// ul: ul(1): primal objective, ul(1): dual objective.
// iters: number of iterations taken.
[rowf,colf]=size(F);
m = colf-1;
if (rowf ~= sum(blck_szs.*blck_szs))
error('Dimensions of F do not match blck_szs.');
end;
[rowx0,colx0]=size(x0);
if (rowx0 ~= m) | (colx0 ~= 1)
error('x0 must be an m-vector.');
end;
if (prod(size(x0)) ~= m),
error('c must be an m-vector.');
end;
// I is the identity
I = zeros(rowf,1);
blck_szs=matrix(blck_szs,1,prod(size(blck_szs)));
k=0; for n=blck_szs,
I(k+[1:n*n]) = matrix(eye(n,n),n*n,1); // identity
k = k+n*n; // k = sum n_i*n_i
end;
// Z0 = projection of I on dual feasible space
Z0 = I-F(:,2:m+1) * ...
( (F(:,2:m+1)'*F(:,2:m+1)) \ ( F(:,2:m+1)'*I - c ) );
// mineigZ is the smallest eigenvalue of Z0
mineigZ = 0.0;
k=0; for n=blck_szs,
mineigZ = min(mineigZ, min(real(spec(matrix(Z0(k+[1:n*n]),n,n)))));
k=k+n*n;
end;
// z = max( 1e-5, -1.1*mineigZ )
Z0(k+1) = max( 1e-5, -1.1*mineigZ);
Z0(1:k) = Z0(1:k) + Z0(k+1)*I;
if (M < I'*F*[1;x0] + 1e-5),
error('M must be strictly greater than trace of F(x0).');
end;
// add scalar block Tr F(x) <= M
F = [F; M-I'*F(:,1),-I'*F(:,2:m+1)];
blck_szs = [blck_szs,1];
[x,Z,ul,info]=...
semidef(x0,pack(Z0),pack(F),blck_szs,c,[nu,abstol,reltol,tv,maxiters]);
iters = info(2);
nz=prod(size(Z))
z=Z(nz)
Z=unpack(Z(1:nz-1),blck_szs(1:prod(size(blck_szs))-1))
Z = Z(1:k);
|
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