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|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0d63d61a089092d43ddd4e9e784c04cde63a73ab
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3020/CH14/EX14.9/ex14_9.sce
|
cac71c25a74b9e7b08e73ec009fdcc7701a3547f
|
[] |
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
| 189
|
sce
|
ex14_9.sce
|
clc;
clear all;
deltax = 4e-10; // Electron in the position in meters
h = 6.626e-34; // Planck's constant
deltap = h/deltax;
disp('(Kg.m)/s',deltap,'The uncertainity in momentum is')
|
8f3a0e2594d57615e9dc1f64832ba29491551f14
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3682/CH3/EX3.1/Ex3_1.sce
|
3bb0fda472afeeeed277b516d5ea38a266147078
|
[] |
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
| 520
|
sce
|
Ex3_1.sce
|
// Exa 3.1
clc;
clear;
// Given data
//Fig. 3.1(e) shows an inverting amplifier
ACL = -10; // open loop gain of ap-amp 741
R1 = 10*10^6; // Input impedence in Ω
// Solution
printf(' In fig. 3.1(e), to set input impedence Ri = 10 MΩ , pick R1 = 10 MΩ. ');
// since, ACL = - Rf/R1;
// Therefore,
Rf = -ACL*R1;
printf('\n The calculated value of Rf = %d MΩ. \n ',Rf/10^6);
printf(' Choose Rt = 47 kΩ. \n ');
Rt = 47*10^3; // Ω
Rs = (Rt^2)/(Rf-2*Rt);
printf(' Calculated Rs = %d Ω. ',Rs);
|
8fa34ec2b885b04fe55a13b26824591df4b02c6f
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2657/CH3/EX3.5/Ex3_5.sce
|
920b01c1354d449eea7b538d42a1e55be725d46b
|
[] |
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
| 2,021
|
sce
|
Ex3_5.sce
|
//Effect of molecular contraction
clc,clear
//Given:
r=7 //Compression ratio
CV=44000 //Calorific value of the fuel in kJ/kg
A_F=13.67 //Air fuel ratio of the mixture
cv=0.718 //Specific heat at constant volume in kJ/kgK
n=1.3 //Polytropic index
P1=1,T1=67+273 //Pressure and temperature at the beginning in bar and K
//Solution:
//Refer fig 3.22
C=12 //Atomic mass of Carbon(C)
H=1 //Atomic mass of Hydrogen(H)
O=16 //Atomic mass of Oxygen(O)
p=23 //Percentage of oxygen in air by mass
//Stoichiometric equation of combustion of fuel (C6H14)
// [C6H14] + x[O2] = y[CO2] + z[H2O]
//Equating coefficients
x=9.5,y=6,z=7 //Coefficients of stoichiometric equation
A_F_g=x*2*O/(6*C+14*H)*100/p //Gravimetric air fuel ratio
MS=A_F_g/A_F*100 //Actual mixture strength in percent
//Combustion is incomplete
//Stoichiometric equation of incomplete combustion of fuel (C6H14)
// MS/100[C6H14] + x[O2] = a[CO2] + b[CO] + c[H2O]
//Equating coefficients
a=4.39,b=2.36,c=7.87 //Coefficients of stoichiometric equation
//Stoichiometric equation of combustion of fuel (C6H14) by adding Nitrogen
// MS/100[C6H14] + x[O2] + x*79/21[N2] = a[CO2] + b[CO] + c[H2O] + x*79/21[N2]
m1=MS/100+x+x*79/21 //Moles before combustion
m2=a+b+c+x*79/21 //Moles after combustion
Me=(m2-m1)/m1*100 //Molecular expansion in percent
T2=T1*r^(n-1) //Temperature at 2 in K
m_c=A_F+1 //Mass of charge in kg
T3=CV/(m_c*cv)+T2 //Temperature at 3 in K
T3=round(T3)
P3=P1*r*(T3/T1) //Pressure at 3 in bar (printing error)
//Temperature and pressure considering molecular expansion
T3!=T3 //Temperature remains same at 3 in K
P3!=P3*m2/m1 //Pressure at 3 in bar
//Results:
printf("\n\t The molecular expansion = %.2f percent\n",Me)
printf("\n (a)Without considering the molecular contraction\n\t The maximum pressure, P3 = %.2f bar\n\t The maximum temperature, T3 = %.0f K",P3,T3)
printf("\n (b)Considering the molecular contraction\n\t The maximum pressure, P3 = %.2f bar\n\t The maximum temperature, T3 = %.0f K",P3!,T3!)
//Answer in the book is wrong
|
de7be07e8c72721a400f703da9fd853b3e49c5ab
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2747/CH13/EX13.15/Ex13_15.sce
|
5ac4fd223d308335bd566ca3404be4174dd3e437
|
[] |
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
| 400
|
sce
|
Ex13_15.sce
|
clc
clear
//Initialization of variables
t1=30 //F
t2=60 //F
t3=80 //F
W1=0.00206
W2=0.01090
//calculations
cm1=0.24+0.45*W1
H1=cm1*t1+W1*1060
cm2=0.24+0.45*W2
H2=cm2*t3+W2*1060
hf=t2-32
dq=H2-H1-(W2-W1)*hf
//results
printf("In case 1, Enthalpy = %.2f Btu/lbm dry air",H1)
printf("\n In case 2, Enthalpy = %.2f Btu/lbm dry air",H2)
printf("\n Heat added = %.2f Btu/lbm dry air",dq)
|
234042d5142a69edc83de7d9a12c932e816fdfc2
|
20253970b7dd99e615215029609de822e2bf855d
|
/judge/tests/51300/9.tst
|
bc7ac98f13c35935a3aaad4b28bbc8adc92574f7
|
[] |
no_license
|
B-Rich/CATS
|
d26d6c85cfc1dbdc78fa16f691adbfccc615df03
|
d299e328f9e7498ecd9f58f64069fcd57536db00
|
refs/heads/master
| 2021-01-01T06:10:11.322262
| 2011-06-21T15:06:06
| 2011-06-21T15:06:06
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 22
|
tst
|
9.tst
|
6 6
2
4 2 1
2 4 1
|
a0a257f0fd1da8df7b971b1ee60736e8c7610ca4
|
8217f7986187902617ad1bf89cb789618a90dd0a
|
/source/2.4/macros/m2sci/gettempvar.sci
|
ad3c83a665ff926793ad12044304c3a6bf7c3db3
|
[
"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
| 220
|
sci
|
gettempvar.sci
|
function var=gettempvar(n)
// Copyright INRIA
[lhs,rhs]=argn(0)
var='%v'
if level(1)>0 then
var=var+string(level(1))
end
if level(2)>0 then
var=var+'_'+string(level(2))
end
if rhs==1 then
var=var+'$'+string(n)
end
|
1c06c99d65edc222bb1be4fc27de316765f28cc7
|
89838d8f710d1bef8ebcf2fff7ff643f0edba610
|
/PRG/InitTRT.sce
|
f5d7b06f2fe646e12c3438633ccab73ed647e886
|
[
"MIT"
] |
permissive
|
Souilla-Luc/CPET_COSMED
|
a078c5e8ba2945a7e6d1f48690927e7cfa0eca7c
|
9cb4d349d09ce147550a9adf1a0c1a1725bff275
|
refs/heads/main
| 2023-04-15T03:04:42.303339
| 2021-04-28T15:11:22
| 2021-04-28T15:11:22
| 360,626,406
| 2
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 3,830
|
sce
|
InitTRT.sce
|
// InitTRT initialises the working environment
//
// Calling Sequence
// exec("InitTRT.sce")
//
// Parameters
// None
// InitTRT is a script to configure the working environment.
// InitTRT must be called at the very begining of the main script.
//
// Authors
// Denis Mottet - Univ Montpellier - France
//
// Versions
// Version 2.0.0 -- D. Mottet -- Jun 17, 2011
// Version 2.1.0 -- D. Mottet -- Oct 10, 2019
// recursive getd on directories within PRG_PATH
////////////////////////////////////////////////////////////////////////////////
// -- Clear workspace
clear ; // clear all variables
xdel(winsid()); // delete all graphic windows
mode(0); // to get what is written when you DO NOT add an endding ;
// -- Organize the workspace on the hard disk
// -- The directory structure is :
// - WRK = base directory
// - PRG = all program files (.sce and .sci)
// - DAT = all input data
// - RES = all results of procesing
// NOTE : subdirectories are possible, and certainly useful if many files...
// Method 1 : hard code the directory structure (
// too stupid : forget it!!
// definir tout les chemins, compile toutes les fonctions
// Method 2 : relative to the present file
//on peut gerer facilement notre ordinateur
PRG_PATH = get_absolute_file_path("InitTRT.sce"); //recup le fichier PRG path
chdir(fullfile(PRG_PATH, "..")); // up in the directory tree, remonte prg path
WRK_PATH = pwd(); // store the present directory il definit le repertoire de trvail compilant RES,PRG et DAt path, quelque soit la machine ca va marcher
RES_PATH = fullfile(WRK_PATH, "RES"); // RES, that is within WRK
//complile toutes les fonctions/fichiers qui sont sur dossiers RES
DAT_PATH = fullfile(WRK_PATH, "DAT"); // DAT, that is within WRK
//compile toutes les fichiers
////////////////////////////////////////////////////////////////////////////////
// -- Load all functions in PRG_PATH
// **** Utility functions to proceed with getd
function [ListOfDir] = ListDirInDir(Dir)
// recursively find directory into directory
ListOfDir = [];
ff = listfiles(Dir);
for i = 1:size(ff,"*")
f = fullfile(Dir, ff(i)); // use fullpath (clearer)
if isdir(f) then
DirToAdd = ListDirInDir(f); // recursion
ListOfDir = [ListOfDir; DirToAdd]; // add in list
end
end
ListOfDir = [ListOfDir; Dir] // end recursion
endfunction
function N = NbFilesToGetdInDir(DirToGetd)
FilesToGetd = findfiles(DirToGetd, "*.sci");
N = size(FilesToGetd, "*");
endfunction
// **** proceed with getd
// find the list of directories inside PRG_PATH
DirToGetd = ListDirInDir(PRG_PATH);
// count the files in each directory
NbSciFilesInDir = zeros(DirToGetd);
for i=1:size(DirToGetd, "r")
NbSciFilesInDir(i) = NbFilesToGetdInDir(DirToGetd(i));
end
// getd stops if a directory does not contain at least one *.sci
for i=1:size(DirToGetd, "r")
if NbSciFilesInDir(i) > 0 then
getd(DirToGetd(i));
end
end
////////////////////////////////////////////////////////////////////////////////
// Inform the user
clc ; // clear the scialb console
write(%io(2), "") // next line
write(%io(2), "Working directory:")
write(%io(2), " " + pwd())
write(%io(2), "getd :");
ShortPATH = getrelativefilename(WRK_PATH, PRG_PATH);
for i=1:size(DirToGetd, "r")
RelPATH = getrelativefilename(PRG_PATH, DirToGetd(i));
ThePATH = fullfile(ShortPATH, RelPATH);
write(%io(2), sprintf(" %d files in %s", NbSciFilesInDir(i), ThePATH) );
end
clear i ShortPATH RelPATH ThePATH NbSciFilesInDir DirToGetd
|
9486b327eef049506d42dee713f002e4fc35a37f
|
0fce4622b097eaee9a08a5e08f2e2882ad75ec1f
|
/02/IsNeg16.tst
|
42d8cc741d0037621cc25115667b5ff9e16b2e2b
|
[] |
no_license
|
yc90s/EOCS
|
7290def0b7d7ab3c9f73ab5e54cc3871df84d78d
|
847331f40083c83ef85c73a00059c7647ce9ca81
|
refs/heads/master
| 2020-11-25T10:01:26.920282
| 2020-01-10T07:11:33
| 2020-01-10T07:11:33
| 228,608,499
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 311
|
tst
|
IsNeg16.tst
|
load IsNeg16.hdl,
output-file IsNeg16.out,
compare-to IsNeg16.cmp,
output-list in%B2.16.2 out%B2.1.2;
set in %B0000000000000000,
eval,
output;
set in %B0000000000000001,
eval,
output;
set in %B0000000010001000,
eval,
output;
set in %B1000000000000000,
eval,
output;
set in %B1111111111111111,
eval,
output;
|
4f1cad776442cf84758db2dc6493f983fed14aa2
|
31edc8c11cc5fa7d2a6ef380a38554f7790cc314
|
/NewsPortal/Models/TypescriptModels/TSTemplate.tst
|
73da5b25a569aa130ade2eecca12f05093808606
|
[] |
no_license
|
UjhelyiB/NewsPortal
|
9db7539868bef778800b9848739c4a4b1d7be3b7
|
031a22fdba3c5cb1c3dab3b7134f3f7aa053acae
|
refs/heads/master
| 2020-04-02T07:48:45.646834
| 2018-11-29T14:07:11
| 2018-11-29T14:07:11
| 154,212,803
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 993
|
tst
|
TSTemplate.tst
|
${
using Typewriter.Extensions.Types;
// More info: http://frhagn.github.io/Typewriter/
//import the non-primitive types
string Imports(Class c){
var importBaseClass = (c.BaseClass!=null) ? ( "import {" + c.BaseClass.ToString() +"} from \"./" + c.BaseClass.ToString() +"\";") :"";
var importTypesClass = c.Properties.Where(p=>!p.Type.IsPrimitive || p.Type.IsEnum)
.Select(p=> $"import {{ {p.Type.Name} }} from './{p.Type.Name}';").Distinct()
.Aggregate("", (all,import) => $"{all}{import}\r\n").Replace("[]", "").TrimStart();
return importBaseClass + importTypesClass;
}
//Inheritance
string ClassNameWithExtends(Class c) {
return c.Name + (c.BaseClass!=null ? " extends " + c.BaseClass.Name : "");
}
}$Classes(*Model)[$Imports
export class $ClassNameWithExtends {
$Properties[
public $Name: $Type = $Type[$Default];]
}]
$Enums(*)[
export enum $Name { $Values[
$Name = $Value][,]
}]
|
a75f7e6f96b5a2709de7ee9e2af6b36c065f6574
|
8217f7986187902617ad1bf89cb789618a90dd0a
|
/source/2.5/macros/m2sci/sci_clock.sci
|
5e284300510661279231ca41dee7689092470e63
|
[
"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
| 138
|
sci
|
sci_clock.sci
|
function [stk,txt,top]=sci_clock()
// Copyright INRIA
txt=[]
w=gettempvar()
txt=w+'=getdate()'
stk=list(w+'([1:2 6:9])','0','1','6','1')
|
4a30dad89bfbd705d7783fbc15327878ed27ea17
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1631/CH4/EX4.34/Ex4_34.sce
|
441c04cf3ce43921ffbd8683aa13546be8c3dd9e
|
[] |
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
| 275
|
sce
|
Ex4_34.sce
|
//Caption: step size,noise power
//Example 4.34
//page no 204
//Find step size,noise power
clear;
clc;
fs=64*10^3;
fm=3500;
A=1;
del=(2*%pi*fm*A)/fs;//step size
disp("Volts",del,"i)step size");
Nq=(del^2/3)*(fm/fs);//Granular noise power
disp("W",Nq,"ii)Nq=");
|
a44a89731e6f4d1fd8d93519778101e2f412abd7
|
07bf6db3fade722ce6caf9bb9044a8de97fdec55
|
/scripts/dag/tsort_ini.sce
|
ecbb89d3c1ded3ac95badb5f615d353616a7af5f
|
[
"BSD-2-Clause"
] |
permissive
|
rfabbri/minus
|
8cce65a53e4afe617843aa8a8e31ee5dcee28cb2
|
21a847fd66c0d1ecb40962bce9c9b2c1a6df02fa
|
refs/heads/master
| 2023-07-19T15:49:05.920669
| 2023-06-23T00:13:53
| 2023-06-23T00:13:53
| 172,530,430
| 39
| 8
|
NOASSERTION
| 2022-04-26T14:13:13
| 2019-02-25T15:19:04
|
C++
|
UTF-8
|
Scilab
| false
| false
| 260
|
sce
|
tsort_ini.sce
|
Qplus = list();
Qtimes = list();
for i=1:max_n_nodes
if nodes_in_graph(i) == 1 & isempty(dag_from(i))
select node_type(i)
case '+' then
Qplus($+1) = i;
case '*' then
Qtimes($+1) = i;
else
Qplus($+1) = i;
end
end
end
|
ece837fff857c0278bbb8c145d7f95b2f8aea85f
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2084/CH12/EX12.4/12_4.sce
|
3e1829ae9ae14337e4746f841bddf02c03b43072
|
[] |
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
|
12_4.sce
|
//developed in windows XP operating system 32bit
//platform Scilab 5.4.1
clc;clear;
//example 12.4
//calculation of the value of phase constant
//given data
//x = A/2
//x = A *sind((w*t) + delta).......equation
//calculation
//at t=0 delta=asind((A/2)/A)
delta=asind(1/2)
delta1=180-delta//another value of delta
//v = dx/dt = A*w*cosd((w*t) + delta)
//at t=0 , v = A*w*cosd(delta)
m1=cosd(delta)
m2=cosd(delta1)
if(m1>0)
deltaf=delta//value of v positive at t=0
else
deltaf=delta1
end
printf('the value of phase constant is %d degree',deltaf)
|
25384cf16d24a06d2e372ba2a7445399ebc2f4e9
|
404a2e3f51b4ebdb3077527e16a7c546e1ce4f43
|
/cnum/el_gauss-seidel.sce
|
63e9f58693e526da4fcecea0dbb5cca1f0b7a8d3
|
[] |
no_license
|
iuripereira/gradprojects
|
a20e5d6dadec39f7a1574d3aeb3b08e108b7ee28
|
9ed9fc3f9b60ff8634b7699b5b593b345ee7b5ef
|
refs/heads/main
| 2023-03-07T22:51:30.209708
| 2021-02-21T23:31:47
| 2021-02-21T23:31:47
| 341,007,435
| 0
| 0
| null | null | null | null |
ISO-8859-2
|
Scilab
| false
| false
| 791
|
sce
|
el_gauss-seidel.sce
|
// Métodos Iterativos - Gauss-Seidel
a = [ 15 3 2 9 -1 ;
2 9 3 3 -2 ;
5 8 -22 4 0 ;
1 -1 3 13 0 ;
0 3 6 -5 18 ];
ya = [ 0 0.5 2 0 2 ];
b = [ 0 12 -15 0 0 ];
n = length(b);
e = 0,001;
ea = e + 1;
// Método de Gauss-Seidel
y = [ 0 0 0 0 0 ];
max_it = 8;
it = 0;
while (ea > e) & (it < max_it) do
for i = 1 : n
somat = 0;
for k = 1 : (i-1)
somat = somat + a(i,k)*y(k);
end
for k = (i + 1) : n
somat = somat + a(i,k)*ya(k);
end
y(i) = (1/a(i,i))*(b(i) - somat);
end;
ea = max( abs(y - ya) );
ya = y;
it = it + 1;
end
y
|
618ce42becf804731f4741513b4dbf6fb7e0ec5c
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1299/CH4/EX4.3/example4_3.sce
|
4c06879509970b44583e57244b0868264369d40d
|
[] |
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
| 309
|
sce
|
example4_3.sce
|
//Example 4.3
//for given matrix "A" proving eigen values of "A"="t^-1*A*T"
clear;clc;
xdel(winsid());
A=[0 1 0;0 0 1;-6 -11 -6]
P=bdiag(A) //eigen values of "A"
T=[1 1 1;-1 -2 -3; 1 4 9] //vandermode matrix
inv(T)
A1=inv(T)*A*T //diagonal canonical form of A
//thus "P=A1" is proved.
|
2b94a81a6e52cb4ae58715f9191c9b843ad7122f
|
28f88c035b368ddbe3efd8f5dbf48f01496d1ad0
|
/lab1/Or16.tst
|
e692c07ab76656f95323e586bbca150907840de6
|
[] |
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
| 565
|
tst
|
Or16.tst
|
load Or16.hdl,
output-file Or16.out,
compare-to Or16.cmp,
output-list ip1%B1.16.1 ip2%B1.16.1 out%B1.16.1;
set ip1 %B0000000000000000,
set ip2 %B0000000000000000,
eval,
output;
set ip1 %B0000000000000000,
set ip2 %B1111111111111111,
eval,
output;
set ip1 %B1111111111111111,
set ip2 %B1111111111111111,
eval,
output;
set ip1 %B1010101010101010,
set ip2 %B0101010101010101,
eval,
output;
set ip1 %B0011110011000011,
set ip2 %B0000111111110000,
eval,
output;
set ip1 %B0001001000110100,
set ip2 %B1001100001110110,
eval,
output;
|
b806948141243dd2f0667475bcfbf89a9455cdff
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2360/CH3/EX3.21/ex3_21.sce
|
c020180a6ec1d77c4b2faf664e73a32ed29b7225
|
[] |
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
| 584
|
sce
|
ex3_21.sce
|
// Exa 3.21
format('v',7);clc;clear;close;
// Given data
r = 2;//radius in m
r = r * 10^3;// in mm
d = 200;//deflection in mm
To = 3.1415;// in sec
J = 2*10^-6;// in kg-m^2
i = 1;// in µA
i = i * 10^-6;// in A
// d = 2*r*theta_f;
theta_f = d/(2*r);// in rad
// To = 2*%pi * (sqrt( J/K ));
K = 4*%pi^2*J/To^2;// in Nm/A
// theta_f = (G*i)/K;
G = (theta_f*K)/i;// in Nm/A
// The required resistance to obtain critical damping
Rc = G^2/( 2*sqrt(J*K));// in ohm
Rc = Rc * 10^-3;// in k ohm
disp(Rc,"The required resistance to obtain critical damping in kΩ is");
|
3924a95c10daefba479b1987b815749584e62aef
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/23/CH10/EX10.4/Example_10_4.sce
|
4cab8c533b1faa1c03e6b41f2b83414ee7973f2d
|
[] |
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
| 1,767
|
sce
|
Example_10_4.sce
|
clear;
clc;
//To find Approx Value
function[A]=approx(V,n)
A=round(V*10^n)/10^n;//V-Value n-To what place
funcprot(0)
endfunction
//Example 10.4
//Caption : Program To Find the Dewpoint and Bubblepoint Pressure
T=283.15;//[K]
//(a) Dew Point Pressure
//Species=[" Methane ";" Ethane ";" Propane "];
y=[0.1,0.2,0.7];
P1=6.9;//[bar]
K1=[20,3.25,0.92];
x1=approx(y./K1,3);
P2=10.34;//[bar]
K2=[13.2,2.25,0.65];
x2=approx(y./K2,3);
P3=8.7;//[bar]
K3=[16,2.65,0.762];
x3=approx(y./K3,3);
i=1;
j=1;
P=[P1,P2,P3];
x=[x1;x2;x3];
E1=zeros(1,3);
for(i=1:3)
for(j=1:3)
E1(i)=E1(i)+x(i,j);//Summation
//j=j+1;
end
//i=i+1;
end
P_dew = 8.7;
Ans=[y',K1',x1',K2',x2',K3',x3';1,0,E1(1),0,E1(2),0,E1(3)];
disp( ' P=6.9 bar P=10.34 bar P=8.7 bar')
disp(Ans,' yi Ki yi/Ki Ki yi/Ki Ki yi/Ki')
disp('Last Row Represents the summation')
disp('KPa',P_dew,'The dew Point Pressure')
T=283.15;//[K]
//(b) Bubble Point Pressure
//Species=[" Methane ";" Ethane ";" Propane "];
x=[0.1,0.2,0.7];
P1=26.2;//[bar]
K1=[5.6,1.11,0.335];
y1=approx(x.*K1,3);
P2=27.6;//[bar]
K2=[5.25,1.07,0.32];
y2=approx(x.*K2,3);
P3=26.54;//[bar]
K3=[5.49,1.1,0.33];
y3=approx(x.*K3,3);
i=1;
j=1;
P=[P1,P2,P3];
y=[y1;y2;y3];
E2=zeros(1,3);
for(i=1:3)
for(j=1:3)
E2(i)=E2(i)+y(i,j);//Summation
//j=j+1;
end
//i=i+1;
end
P_Bubble = 26.54;
Ans=[x',K1',y1',K2',y2',K3',y3';1,0,E2(1),0,E2(2),0,E2(3)];
disp( ' P=26.2 bar P=27.6 bar P=26.54 bar')
disp(Ans,' xi Ki xiKi Ki xiKi Ki xiKi')
disp('Last Row Represents the summation')
disp('KPa',P_Bubble,'The Bubble Point Pressure')
//End
|
96cac41f03ca36a17ac11e62fa61f972561cd289
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1664/CH4/EX4.4/Ex4_4.sce
|
fa1b6cc19f905229e89456a83134659a248c1e98
|
[] |
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
|
Ex4_4.sce
|
//Example No 135.
//Page No 4.4.
//To find number of photons.
clc;clear;
h = 6.63*10^(-34);//Planck's constant.
c = 3*10^(8);//Velocity of ligth.
w = 5893*10^(-10);//wavelength.
Op = 60;//output power -[W].
E =((h*c)/w);
printf("\nEnergy of photon in joules is %3.3e J",E);//Energy of photon in joules.
hv = (E/(1.6*10^(-19)));//Energy of photon in eV.
printf("\nEnergy of photon in eV is %.3f eV",hv);
Ps = ((Op)/(E));
Ps = ((60)/(E));// Number of photons emitted per second.
printf("\nThe number of photons emitted per second is %3.3e photons per second",Ps);
|
54aafe6399514c9381c9a64fe087dc16170f7519
|
7f053b29173fd886cfb3520199a442fe76b4f8bb
|
/sombreamento.sce
|
97a14c100cca17a214a64fab10df584ee36c3ea0
|
[] |
no_license
|
erickcampos50/HVAC
|
26052b9720b79400c15afb9ea5fdf1c17c00da78
|
c9544ebb4911461e3c996bbfd6278c47946991dc
|
refs/heads/master
| 2019-01-02T01:46:06.365422
| 2015-02-02T19:30:33
| 2015-02-02T19:30:33
| 29,926,761
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 2,800
|
sce
|
sombreamento.sce
|
//Calculo sombreamento 1
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
//CONSTANTES
//Esses valores tem de ser inseridos para cada componente e deixarão de ser constantes nesse momento
dia = 21
mes = 2
lon = -41.93 //Gov Valadares (longitude 41.93E Latitude 18.85S)
TZ = -3 //Timezone
lat = -18.85
//lsm = latatitude, negativa para sul e lon = longitude, negativa para oeste
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
//EQUAÇÕES
n = dia+(mes-1)*30.5 //para definir o dia do ano numa sequencia continua, com jan-01=1 e fev-01=32
gama = (360*(n-1)/365)
//Equation of time
ET = 2.2918*(0.0075 + 0.1868 *cosd(gama) - 3.2077* sind(gama)-1.4615* cosd(2*gama) - 4.089* sind(2*gama))
//==========================================================================//
//Criação dos vetores que armazenarão valores horarios variaveis, isso é necessario dentro da estrutura interna do scilab
Beta = [1:24]
//==========================================================================//
//INICIO DO LAÇO FOR
for lst=1:24
//==========================================================================//
//Cálculo da radiação incidente
//{The earth’s orbital velocity also varies throughout the year, so
//apparent solar time (ast), as determined by a solar time sundial,
//varies somewhat from the mean time kept by a clock running at a
//uniform rate. This variation is called the equation of time (ET)and
//is approximated by the following formula (Iqbal 1983):}
lsm = 15*TZ
ast(lst) = lst + ET/60 + (lon - lsm)/15 //apparent solar time
//lsm = latocal standard time, o horario para o qual está sendo calculado. Considerar o horario padrão mesmo no horario de verao.
sigma = 23.45*sind((360*(n+284)/365)); //the solar declination δ(the angle between the earth-sun line and the equatorial plane) varies throughout the yea
H(lst) = 15*(ast(lst) - 12); //hour angle
// hour angle H, defined as the angular displacement of
//the sun east or west of the local meridian due to the rotation of the
//earth, and expressed in degrees as
//H= 15(AST – 12) (11)
//where AST is the apparent solar time [Equation (7)]. His zero at
//solar noon, positive in the afternoon, and negative in the morning
//
b = asind(cosd(lat)*cosd(sigma)*cosd(H(lst))+sind((lat))*sind(sigma));//altitude solar, todos esses valores já foram convertidos em radianos,
//portanto o resultado final do asind é em radianos e nao precisa edicao
phi(lst) = asind(sind(H(lst))*cosd(sigma)/cosd(b));//azimute solar,
//phi = acosd(cosd(H)*cosd(sigma)*sind(lat)-sind(sigma)*cosd(lat)/cosd(b)) //apresenta erro, por isso foi abandonado
|
48939a8aa667fa6afa27e84ee9feec61323ff637
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3740/CH2/EX2.8/Ex2_8.sce
|
283dc9cb9a66e2fd5a2e851bd0a8f555e9734c82
|
[] |
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
| 518
|
sce
|
Ex2_8.sce
|
//Optoelectronics - An Introduction, 2nd Edition by J. Wilson and J.F.B. Hawkes
//Example 2.8
//OS=Windows XP sp3
//Scilab version 5.5.2
clc;
clear;
//given
Lz=10e-9;//Thickness of a GaAs quantum well in m
m=9.1e-31;//Rest mass of an electron in kg
me=0.068*m;//Mass of electrons in conduction band
mh=0.56*m;//Mass of electrons in valence band
h=6.62e-34;//Planck's constant in SI Units
DeltaEg=(h^2)/(8*(Lz)^2)*(1/me+1/mh);//Energy gap in the GaAs quantum well
mprintf("DeltaEg = %.2e J",DeltaEg);
|
b36dbee483ec25a2ec5644824349144db33a25de
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1583/CH3/EX3.4/NNID_Ex_3_4.sce
|
e4f47e11303ed2cac50efede70469cddde2299dc
|
[] |
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
| 466
|
sce
|
NNID_Ex_3_4.sce
|
clc
//Chapter 3:Network noise and intermodulation distortion
//example 3.4 page no 81
//given
k=1.37*10^-23//boltzmann's onstant
T=290//operating tempreture
B=3*10^3//bandwidth
F=1.779//overall noise factor(from previous ex)
G1=15.9//gain of first stage(from previous ex)
G2=10//gain of second stage(from previous ex)
Ni_Na=F*k*T*B//noise at the input (addition of Ni and Na)
No=G1*G2*(Ni_Na)//the output noise
mprintf('the output noise is %3.2e W',No)
|
708fc5a9bda33ea654be1904b1e58971f1a3a67c
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3740/CH8/EX8.8/Ex8_8.sce
|
2396d59860334b611b29b5e20a1c23435c521912
|
[] |
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
| 517
|
sce
|
Ex8_8.sce
|
//Optoelectronics - An Introduction, 2nd Edition by J. Wilson and J.F.B. Hawkes
//Example 8.8
//OS=Windows XP sp3
//Scilab version 5.5.2
clc;
clear;
//given
n1=1.48;//Dimensionless refractive index of fiber core
n2=1.46;//Dimensionless refractive index of fiber cladding
Lambda0=1.5e-6;//Wavelength in m
//Let the maximum core radius in m for single mode operation be 'amax'
amax=2.405*Lambda0/(2*%pi*sqrt((n1^2)-(n2^2)));
mprintf("\n a < %.2f um",amax/1e-6);//Dividing by 10^(-6) to convert into um
|
bec5fc52a16dbef457e9086109a81f70de73ca7d
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/61/CH10/EX10.11/ex10_11.sce
|
a018405e5b859d6cd721aa4b6097f7909d1c6bae
|
[] |
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
| 383
|
sce
|
ex10_11.sce
|
//ex10.11
C_bc=2.4*10^-12; //from previous question
A_v=99; //from previous question
R_C=2.2*10^3;
R_L=2.2*10^3;
R_c=R_C*R_L/(R_C+R_L);
C_out_Miller=C_bc*(A_v+1)/A_v;
f_c=1/(2*%pi*R_c*C_bc); //C_bc is almost equal to C_in_Miller
disp(R_c,'equivalent resistance in ohms')
disp(C_out_Miller,'equivalent capacitance in farads')
disp(f_c,'critical frequency in hertz')
|
734827cdfba09e23144069fde4a8b88df9ff85ed
|
a62e0da056102916ac0fe63d8475e3c4114f86b1
|
/set9/s_Engineering_Physics_(volume_2)_Dr._K._V._Kumar_2258.zip/Engineering_Physics_(volume_2)_Dr._K._V._Kumar_2258/CH5/EX5.1/5_1.sce
|
e294bb9c5d0dcc9b66b4f81dfdd3fbaa7e11964b
|
[] |
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
| 256
|
sce
|
5_1.sce
|
errcatch(-1,"stop");mode(2);;
;
// To calculate the critical field
Tc=3.7; //critical temperature in kelvin
Hc_0=0.0306; //critical field in T
T=2;
Hc_2k=Hc_0*(1-((T/Tc)^2));
printf("the critical feild at 2K is %f Tesla",Hc_2k);
exit();
|
2424edcd2f20469dafbaa75815f470539867dad4
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/767/CH4/EX4.8.6/Ch04Exa4_8_6.sci
|
748cb531b6dcc1e3e9335b157dda15b185cc6fe2
|
[] |
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
| 1,166
|
sci
|
Ch04Exa4_8_6.sci
|
// Scilab code Exa4.8.6: To calculate the mass defect and Q-value for the fusion reactions : Page 197 (2011)
// Reaction-1 = H(1,2)+H(1,2)= He(2,3)+n(0,1)
m_p = 1.007825; // Mass of proton, amu
m_n = 1.008665; // Mass of neutron, amu
m_H = 2.014102; // Mass of H(1,2), amu
m_He = 3.016029; // Mass of He(2,3), amu
m_d_1 = 2*m_H-m_He-m_n; // Mass defect for reaction first, amu
Q_1 = m_d_1*931.47; // Q-value for reaction first, MeV
// Reaction-2 = H(1,2)+H(1,2)= H(1,3)+p(1,1)
m_p = 1.007825; // Mass of proton, amu
m_n = 1.008665; // Mass of neutron, amu
m_H = 2.014102; // Mass of H(1,2), amu
m_H_3 = 3.016049; // Mass of H(1,3), amu
m_d_2 = 2*m_H-m_H_3-m_p; // Mass defect for reaction second, amu
Q_2 = m_d_2*931.47; // Q-value for reaction second, MeV
printf("\nFor first reaction \n Mass defect = %7.5f amu \n Q-value = %7.5f amu \nFor second reaction \n Mass defect = %7.5f MeV \n Q-value = %4.2f MeV ", m_d_1,Q_1, m_d_2, Q_2)
// Result
// For first reaction
// Mass defect = 0.00351 amu
// Q-value = 3.26946 amu
// For second reaction
// Mass defect = 0.00433 MeV
// Q-value = 4.03 MeV
|
5422e386a6201e502da263a009e52a739c264e5b
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3885/CH5/EX5.15/Ex5_15.sci
|
f4eef5eed8dd5ca1e22440e0e75de181c8631794
|
[] |
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
| 477
|
sci
|
Ex5_15.sci
|
//control systems by Nagoor Kani A
//Edition 3
//Year of publication 2015
//Scilab version 6.0.0
//operating systems windows 10
// Example 5.15
clc;
clear;
s=poly(0,'s')//defines s as poly nomial variable
h=syslin('c',(1+4*s)/(s*(1+s)*(1+2*s)))//the given transfer function assigned to variable h
scf()
nyquist(h)
show_margins(h,'nyquist')
disp('the closed loop system is unstable ')
disp('two poles of closed loop system are lying on right half of s plane')
|
6757c0a5fbcd55a3fff8488ff5ec5d7dc1ce144c
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/213/CH9/EX9.3/9_3.sce
|
d28eefb00f394034566f029839293ce9bb42bcd9
|
[] |
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
| 617
|
sce
|
9_3.sce
|
//To find the angle turned
clc
//Given:
alpha=18*%pi/180 //radians
//Solution:
//Maximum velocity is possible when
theta1=0,theta2=180 //degrees
//Calculating the angle turned by the driving shaft when the velocity ratio is unity
theta3=acos(sqrt((1-cos(alpha))/(sin(alpha)^2)))*180/%pi //degrees
theta4=180-theta3 //degrees
//Results:
printf("\n\n Angle turned by the driving shaft when the velocity ratio is maximum, theta = %d degrees or %d degrees.\n",theta1,theta2)
printf(" Angle turned by the driving shaft when the velocity ratio is unity, theta = %.1f degrees or %.1f degrees.\n\n",theta3,theta4)
|
07a92adc27780ff960ff8afa15b9f5610c176f35
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/62/CH7/EX7.14/ex_7_14.sce
|
aea99c33acf4acfdaa48c80b3f1fb2a8c3d5c126
|
[] |
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
| 76
|
sce
|
ex_7_14.sce
|
clc;
close
clear;
s=%s;
tf=syslin('c',(1/(s^2+3*s+2)));
ss=tf2ss(tf);
|
6ed47a3fb17c953733514a9d730dfa73e509aebf
|
9cb37875b74a713c93c09fa50ccc70ac0f71ecdb
|
/Torsos/Achile/achile_torse.sce
|
6571ff13e7aa1d0ac1a114c719038caf87bf43c2
|
[] |
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
| 860
|
sce
|
achile_torse.sce
|
#************************************************************
# Scenario of humanTestEnv
#
# date : Fri Sep 4 13:48:54 2009
#************************************************************
p3d_sel_desc_name P3D_ENV humanTestEnv
p3d_sel_desc_name P3D_ROBOT Achile
p3d_set_robot_steering_method Linear
p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 130.294983 25.044249 0.442479 15.044248 4.911502 7.522126 5.752212 17.109146 -50.771881 33.584064 101.661751 -42.212391 1.769915 5.113077 0.000000 46.101284 2.551628 -65.870209 -69.646011 30.088495 0.000000
p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 -98.711899 1.740413 -15.929205 0.000000 -1.283188 0.000000 0.000000 -9.734512 -6.868237 27.389378 48.662735 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
|
fc5dfecdf323542c42c2e333443217b2d17315e6
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/770/CH14/EX14.22/14_22.sce
|
63357ab24a00fa23011d295f950936834c9adbd8
|
[] |
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
| 1,892
|
sce
|
14_22.sce
|
clear;
clc;
// Example - 14.22
// Page number - 491
printf("Example - 14.22 and Page number - 491\n\n");
// Given
T = 60 + 273.15;//[K] - Temperature
R = 8.314;//[J/mol*K] - Universal gas constant
// log(Y1_inf) = log(Y2_inf) = 0.15 + 10/T
// Since the two liquids are slightly dissimilar , we assume the activity coeffiecients to follow van Laar equation
// From van Laaar equation
// A = log(Y1_inf) and B = log(Y2_inf) and since it is given that log(Y1_inf) = log(Y2_inf), therefore A = B
//(x_1*x_2)/(G_excess/R*T) = x_1/B + x_2/A = X_1/A + x_2/A = 1/A
// G_excess/(R*T) = A*x_1*x_2
// For equilomar mixture,
x_1 = 0.5;// Mole fraction of component 1
x_2 = 0.5;// Mole fraction of component 2
// Expression for A can be written as
// A = 0.15 + 10/T, where T is in C. Therefore
A = 0.15 + 10/(T - 273.15);
// Differentiating it with respect to temprature we get
dA_dT = - 10/((T-273.15)^(2));
// The excess Gibbs free energy can be calculated as
G_excess = A*x_1*x_2*(R*T);//[J/mol]
// The ideal Gibbs free energy change can be calculated as
delta_G_id_mix = R*T*(x_1*log(x_1) + x_2*log(x_2));//[J/mol]
// Finally we have,
delta_G_mix = G_excess + delta_G_id_mix;//[J/mol]
printf("The Gibbs free energy change of mixing for equimolar mixture is %f J/mol\n\n",delta_G_mix);
// Now let us determine the excess enthalpy. We know that
// H_excess/(R*T^(2)) = -[d/dT(G_excess/R*T)]_P,x = - x_1*x_2*[d/dT(A)]_P,x
// Therefore at 'T' = 60 C the excess enthalpy is given by
H_excess = -R*(T^(2))*x_1*x_2*dA_dT;//[J/mol]
delta_H_id_mix = 0;//[J/mol] - Enthalpy change of mixing for ideal solution is zero.
//Thus enthalpy change of mixing for an equimolar mixture at 333.15 K is given by
delta_H_mix = delta_H_id_mix + H_excess;//[J/mol]
printf("The enthalpy change of mixing for equimolar mixture is %f J/mol",delta_H_mix);
|
8fff5b147f86ebb2d41ef216d54246b5c09d6cf7
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1697/CH7/EX7.1/Exa7_1.sce
|
3b4ae905287062f3fe9da0a33fc60eb44ef6064b
|
[] |
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
| 244
|
sce
|
Exa7_1.sce
|
//Exa 7.1
clc;
clear;
close;
//given data :
f=6;//in GHz
f=f*10^9;//in Hz
d=10;//in feet
d=3.048;//in meter
c=3*10^8;//in m/s
lambda=c/f;//in meters
rmin=2*d^2/lambda;//in meters
disp(rmin,"Minimumseparation distance in meters : ");
|
a69752a1415b67f30aaea430f35b8ccee4919db5
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2078/CH7/EX7.2/Example7_2.sce
|
ea27314ea37d9a7997ec5461f858deb9d723163a
|
[] |
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
| 392
|
sce
|
Example7_2.sce
|
//Exa 7.2
clc;
clear;
close;
//Given data :
Ph=3;//phase
V=220;//kV
f=50;//Hz
r=1.2;//cm
d=2;//meter
mo=0.96;//Irregularity factor
t=20;//degree C
T=t+273;//K
b=72.2;//cm
go=21.1;//kV rms/cm
del=3.92*b/T;//Air density factor
Vdo=go*del*mo*r*log(d*100/r);//in kV
Vdo_line=sqrt(3)*Vdo;//in kV
disp(round(Vdo_line),"Disruptive critical voltage from line to line(kV rms) : ");
|
29f3aa36cb499542d4c91d6b7c003d105857eb65
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1787/CH8/EX8.2/Exa8_2.sce
|
f867a1d1d85dd4a82964d46f40c5b7de14439760
|
[] |
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
| 347
|
sce
|
Exa8_2.sce
|
//Exa 8.2
clc;
clear;
close;
//given data :
W=25;//in um
PhotonFlux=10^21;//in m^2s^-1
alfa=10^5;//in m^-1
e=1.6*10^-19;//in Coulambs
GL1=alfa*PhotonFlux;//in m^-3s^-1
GL2=alfa*PhotonFlux*exp(-alfa*W*10^-6);//in m^-3s^-1
JL=e*PhotonFlux*(1-exp(-alfa*W*10^-6));//in mA/cm^2
disp(JL/10,"Steady state photocurrent density in mA/cm^2 : ");
|
1e3b9a1d24f87b876658a2f3e5899a84ec46f813
|
8217f7986187902617ad1bf89cb789618a90dd0a
|
/browsable_source/2.2/Unix/scilab-2.2/macros/percent/%re.sci
|
97fd1745e62b55e58149037b6c0949d0167bd0c9
|
[
"LicenseRef-scancode-warranty-disclaimer",
"LicenseRef-scancode-public-domain",
"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
| 624
|
sci
|
%re.sci
|
function [f1,f2,f3,f4,f5]=%re(i,j,f)
// %re(i,j,f) extrait la sous matrice, definie par les indices de lignes
// donnes dans le vecteur i et les indices de colonnes donnes dans le
//vecteur j, de la matrice de fractions rationnelles f.
//!
if type(i)==10 then
[lhs,rhs]=argn(0)
if rhs<>2 then error(21),end
nams=['num','den','dt']
for k=1:prod(size(i))
kf=find(i(k)==nams)
if kf==[] then error(21),end
execstr('f'+string(k)+'=j(kf+1)')
end
return
end
if type(i)==4 then i=find(i),end
if type(j)==4 then j=find(j),end
if i==[]|j==[] then f=[],return,end
f1=f;
[n,d]=f1(2:3)
f1(2)=n(i,j);f1(3)=d(i,j)
|
9baf345c3be415499adfdc8cfb6fcdd1e9c9732f
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3554/CH4/EX4.11/Ex4_11.sce
|
8e122562dccfc8fc9697520fc97925b069a50fca
|
[] |
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
| 799
|
sce
|
Ex4_11.sce
|
// Exa 4.11
clc;
clear all;
// Given data
Rm=100; // Meter resistance(Ohms)
Ifsd=1; // Full scale deflection current(mA)
Rh=2000; // Half of full scale deflection resistance(Ohms)
V=3; // Internal battery voltage(V)
// Solution
// Using equations 4.1 and 4.2 given on page no. 104
R1=Rh-Ifsd*10^-3*Rh/V ;// Current limiting resistance(Ohms)
R2= Ifsd*10^-3*Rm*Rh/(V-Ifsd*10^-3*Rh); // Zero adjust resistance(Ohms)
V1= V-0.05*V; // Voltage after 5 percent drop in battery voltage
R3=Ifsd*10^-3*Rh*Rm/(V1-Ifsd*10^-3*Rh);// Maximum value of R2 to compensate drop in battery
printf(' The values of R1 and R2 are %.1f Ohms and %d Ohms respectively \n ',R1,R2);
printf('The maximum value of R2 to compensate for a 5 percentage drop \n in battery voltage is =%.2f Ohms \n',R3);
|
38f8030148fe38d27d5d5c617cdd511802afe5da
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1172/CH2/EX2.3/Example2_3.sce
|
0309c1d9c1cdd39c852dff5bacae830fb4061028
|
[] |
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
|
Example2_3.sce
|
clc
// Given That
I = 2.4 // intensity of radiation in Watt per meter square
epsilon_0 = 8.85e-12
c = 3e8
//Sample Problem 3 Page No. 80
printf("\n # Problem 3 # \n ")
E = sqrt ((2* I)/ (c * epsilon_0)) // calculation of amplitude of electric field is
printf("Amplitude of electric field is %f N/C \n", E)
|
d9fe2368f1f77075098f0e175e16892bdcc83068
|
1db0a7f58e484c067efa384b541cecee64d190ab
|
/macros/ifht.sci
|
7f865cb06969fd13a16f9e45767ad2cbfe984f18
|
[] |
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
| 1,251
|
sci
|
ifht.sci
|
function m = ifht(d, varargin)
//Calculate the inverse Fast Hartley Transform of real input D
//Calling Sequence
//m= ifht (d)
//m= ifht (d,n)
//m= ifht (d,n,dim)
//Parameters
//d: real or complex valued scalar or vector
//n: Similar to the options of FFT function
//dim: Similar to the options of FFT function
//Description
//Calculate the inverse Fast Hartley Transform of real input d. If d is a matrix, the inverse Hartley transform is calculated along the columns by default. The options n and dim are similar to the options of FFT function.
//
//The forward and inverse Hartley transforms are the same (except for a scale factor of 1/N for the inverse hartley transform), but implemented using different functions.
//
//The definition of the forward hartley transform for vector d, m[K] = 1/N \sum_{i=0}^{N-1} d[i]*(cos[K*2*pi*i/N] + sin[K*2*pi*i/N]), for 0 <= K < N. m[K] = 1/N \sum_{i=0}^{N-1} d[i]*CAS[K*i], for 0 <= K < N.
//Examples
//ifht(1 : 4)
//ifht(1:4, 2)
funcprot(0);
rhs= argn(2);
if(rhs<1 | rhs>3)
error("Wrong number of Inputs")
end
select(rhs)
case 1 then
m= callOctave("ifht", d);
case 2 then
m= callOctave("ifht", d , varargin(1));
case 3 then
m= callOctave("ifht", d , varargin(1),varargin(2) );
end
endfunction
|
8039f3f27b1c7f78a4c97ce089bdb0fff788e5af
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1046/CH5/EX5.7/5_7.sce
|
810e3a1b24ae8f772cd125ba67e525d9fa8bcd74
|
[] |
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
| 1,385
|
sce
|
5_7.sce
|
//example 5.7
//Calculate the rate of heat loss by the combined free and forced convection.
//Given
Ts=60 //C, surface temp
To=30 //C, bulk temp.
d=0.06 //m, diameter of pipe
l=1 //m, length
Tm=(Ts+To)/2
//for air at Tm
rho=1.105 //kg/m^3, density
cp=0.24 //kcal/kg C. specific heat
mu=1.95*10^-5 //kg/m s. viscosity
P=0.7 //Prandtl no.
kv=1.85*10^-5 //m^2/s, kinetic viscosity
k=0.0241 //kcal/f m C, thermal conductivity
beeta=(1/(Tm+273)) //K^-1. coefficient of volumetric expension
V=0.3 //m/s, velocity
g=9.8 //m/s^2, gravitational constant
//Calculation of nusslet no.
Rad=g*beeta*(Ts-To)*d^3*P/(kv^2) //Rayleigh no.
//from eq. 5.9
Nufree=(0.60+(0.387*Rad^(1/6))/(1+(0.559/P)^(9/16))^(8/27))^2
//calculation of forced convection nusslet no.
//from eq. 4.19
Re=d*V/(kv)
Nuforced=0.3+(0.62*Re^(1/2)*P^(1/3)/(1+(0.4/P)^(2/3))^(1/4))*(1+(Re/(2.82*10^5))^(5/8))^(4/5)
Nu=(Nuforced^3+Nufree^3)^(1/3) //nusslet no. for mixed convection
//Nu=h*d/k
h=Nu*k/d //kcal/h m^2 C, heat transfer corfficient
q=h*%pi*d*l*(Ts-To)
printf("the rate of heat loss per meter length is %f kcal/h",q)
|
1d70f91a8a37b7bdbc7934a785d43596599fcec9
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/626/CH2/EX2.4/2_4.sce
|
f2069dc3f6e703e60f069128183bf68dc5d75d15
|
[] |
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
| 619
|
sce
|
2_4.sce
|
clear;
clc;
close;
disp("Example2.4")
u1=2 //speed of water going on the plate. X-component in m/s.
v1=0 //speed of water going on the plate. Y-component in m/s.
u2=1 //speed of water going on the plate. X-component in m/s.
v2=1.73 //speed of water going on the plate Y-coponent in m/s.
m=0.1 //rate of flow of mass of the water on the plate in kg/s.
//Using Newton's second law.
Fx=m*(u2-u1); //X-component of force exerted by water
disp(Fx,"Axial force needed to support the plate in N:")
Fy=m*(v2-v1); //Y-component of force exerted by water.
disp(Fy,"Lateral force needed to support the plate in N:")
|
9c05ce3e7c1b242b0abe65c66b15c87ed05e6044
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3718/CH2/EX2.10/Ex2_10.sce
|
959213e2a95f874175c2053e2f22f57d4fc41052
|
[] |
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
| 194
|
sce
|
Ex2_10.sce
|
//Chapter 2: Spectroscopy and Photochemistry
//Problem:10
clc;
mprintf("Because CO2 is a linear molecule.\n")
v_deg = 3 * 3 - 5
mprintf(" The vibrational degree of freedom is %d",v_deg)
|
511926104f94f0ac28bc917401b076b29f713d19
|
8217f7986187902617ad1bf89cb789618a90dd0a
|
/browsable_source/2.4/Unix-Windows/scilab-2.4/macros/m2sci/sci_reshape.sci
|
8e7304732309c62c8294f692ba91e5ed61f7243b
|
[
"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
| 185
|
sci
|
sci_reshape.sci
|
function [stk,txt,top]=sci_reshape()
// Copyright INRIA
txt=[]
RHS=rhsargs([stk(top-2)(1),stk(top-1)(1),stk(top)(1)])
stk=list('matrix'+RHS,'0',stk(top-1)(1),stk(top)(1),'1')
top=top-2
|
19454595f5359a1d59c87c45e4ffde8c961ab1da
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2360/CH3/EX3.29/ex3_29.sce
|
4b9745fb03d13b76658292254a409fd271615e14
|
[] |
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
| 471
|
sce
|
ex3_29.sce
|
// Exa 3.29
format('v',7);clc;clear;close;
// Given data
Rm = 100;//meter resistance in ohm
Im = 2;//current in mA
Im = Im * 10^-3;// in A
I = 150;// in mA
I = I * 10^-3;// in A
m = I/Im;
Rsh = Rm/(m-1);//required shunt resistance in ohm
disp(Rsh,"The value of required shunt resistance in Ω is");
Pm = ((Im)^2)*Rm;// in W
Psh = ((I-Im)^2)*Rsh;// in W
P = Pm+Psh;//power consumption in W
P = P * 10^3;// in mW
disp(P,"The power consumption in mW is");
|
aba783f175d399f84dbc101b935f4e49ea12fa63
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3293/CH7/EX7.7/Ex7_7.sce
|
601099c5533ea1c25f53a9165076be643dd46022
|
[] |
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
| 590
|
sce
|
Ex7_7.sce
|
//page 247
//Example 7.7
clc;
clear;
close;
disp('A = ');
disp('2 0 0 0');
disp('1 2 0 0');
disp('0 0 2 0');
disp('0 0 a 2');
disp('Considering a = 1');
A = [2 0 0 0;1 2 0 0;0 0 2 0;0 0 1 2];
p = poly(A,"x");
disp('Characteristic polynomial for A is:');
disp(p,'p = ');
disp('or');
disp('(x-2)^4');
disp('Minimal polynomial for A =');
disp('(x-2)^2');
disp('For a = 0 and a = 1, characteristic and minimal polynomial are same.');
disp('But for a=0, the solution space of (A - 2I) has 3 dimension whereas for a = 1, it has 2 dimension. ')
//end
|
5f7963487881c47da82f2a8f61ae084220ccbec1
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3289/CH7/EX7.7/Ex7_7.sce
|
08079fb85bdc7cfd977d31c09646a43eefdab1cd
|
[] |
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
| 1,761
|
sce
|
Ex7_7.sce
|
clc
p=14 //MPa
t=0.3 //cm
E=200 //GPa
v=0.3
gamma1=77 //kN/m^3
alpha=12*10^-6 // per degree celcius
A=2
T=50 //degree celcius
D=[3.33 0.99 0;0.99 3.3 0;0 0 1.16]
disp(D)
//[D*]=(t*[D])/4*A
[D1]=(10^6*[D])/4*A
disp(D1)
//solution a: stiffness matrix
xi=0
x1=0
xj=4
x2=4
xm=0
x3=0
yi=-1
y1=-1
yj=-1
y2=-1
ym=1
y3=1
ai=0-4
a1=0-4
disp(ai,a1)
aj=0-0
a2=0-0
disp(aj,a2)
am=4-0
a3=4-0
disp(am,a3)
bi=-1-1
b1=-1-1
disp(bi,b1)
bj=1+1
b2=1+1
disp(bj,b2)
bm=-1+1
b3=-1+1
disp(bm,b3)
k11=(10^6/8)*(3.3*4+1.16*16)
printf('k11=%f\n',k11)
k12=(10^6/8)*(3.3*2*-2+0)
printf('k12=%f\n',k12)
k13=(10^6/8)*(0+1.16*4*-4)
printf('k13=%f\n',k13)
k22=(10^6/8)*(3.3*4+0)
printf('k22=%f\n',k22)
k23=0
printf('k23=%f\n',k23)
k32=0
printf('k32=%f\n',k32)
k21=(10^6/8)*(3.3*2*-2+0)
printf('k21=%f\n',k21)
k31=(10^6/8)*(0+1.16*4*-4)
printf('k31=%f\n',k31)
k33=(10^6/8)*(0+1.16*16)
printf('k33=%f\n',k33)
kuu=[k11 k12 k13;k21 k22 k23;k31 k32 k33]
disp(kuu)
kuv=10^6*[2.15 -1.16 -0.99;-0.99 0 0.99;-1.16 1.16 0]
disp(kuv)
kvv=10^6*[7.18 -0.58 -6.6;-0.58 0.58 0;-6.6 0 6.6]
disp(kvv)
kvu=[2.15 -0.99 -1.16;-1.16 0 1.16;-0.99 0.99 0]
disp(kvu)
ke=[kuu kuv;kvu kvv]
disp(ke)
//solution b:
Fx=0
Fy=0.077 //N/cm^2
Qbe={0,0,0,-0.0308,-0.0308,-0.0308}//N
disp(Qbe)
stp=(sqrt(20)*0.3)*{-2*(1400/sqrt(20)),-4*(1400/sqrt(20))}
disp(stp)
Qp3={0,-420,-420,0,-840,-840}
disp(Qp3)
epsilon=alpha*T
printf('epsilon=%f\n\n',epsilon)
//Qte=[B']*[D]*epsilon*At
Qte=(1/8)*[-2 0 -4;2 0 0;0 0 4;0 -4 -2;0 0 2;0 4 0]*((200*10^5)/0.91)*[1 0.3 0;0.3 1 0;0 0 0.35]*[0.0006;0.0006;0]*(1.2)
printf('Qte=%f in N\n',Qte)
Qe={-5142.85;4742.85;-400;-10285.71;-840.03;9445.67}
disp(Qe,"in N is=")
|
d47b9fd22b24f9bc6a37a28d33a4e1da522d436e
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1202/CH6/EX6.1/6_1.sce
|
19ad5968333db276286f9d25bc6521137291dca2
|
[] |
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
| 1,470
|
sce
|
6_1.sce
|
clear
clc
//Example 6.1
disp('Example 6.1')
//Fuel flow rate appended with ones for intercept in regression
fuel=[1 2.3 2.9 4 4.9 5.8 6.5 7.7 8.4 9];
X=[ones(1,10);fuel]';
Y=[2 4.4 5.4 7.5 9.1 10.8 12.3 14.3 15.8 16.8]'; //Power generated
Bhat=inv(X'*X)*X'*Y;
mprintf('\n Linear model \n B1_hat=%f \n B2_hat=%f',Bhat')
//For better accuracy we can fit higher order model
X_new=[ones(1,10);fuel;fuel.^2]';
Bhat_new=inv(X_new'*X_new)*X_new'*Y;
mprintf('\n \n Quadratic model \n B1_hat=%f \n B2_hat=%f \n B3_hat=%f',Bhat_new')
Output_table=[fuel' Y X*Bhat X_new*Bhat_new];
//mprintf('\n Fuel Power Generated Linear Model Quadratic Model %f %f',Output_table(:,1),Output_table(:,2))
//disp(Output_table)
//Table 6.1
mprintf('\n \n Table 6.1 %s','')
mprintf('\n ui yi Linear Model Quadratic Model %s','')
mprintf('\n %f %f %f %15f',Output_table)
//Error calculations ----(This is not given in book-requires understanding of statistics)
Yhat=X*Bhat; //Predicted Y from regression variables
S_lin=(Y-Yhat)'*(Y-Yhat); //Sum of errors in Y for linear model --eqn 6.9
S_quad=(Y-X_new*Bhat_new)'*(Y-X_new*Bhat_new); //Errors in Y for quadratic model
mprintf('\n %25s%f %10s%f','S=',S_lin,'S=',S_quad)
n=length(fuel);
sigma=S_lin/(n-1)*(inv(X'*X));
bounds=(sigma.^0.5)/sqrt(n)*2.262;
mprintf('\n The errors in Bhats are not calculated because the procedure is not...
\n given in the solution of the example')
|
2ddf213e28fa1a209e0ed3773e4bdb49f3762864
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2084/CH8/EX8.3w/8_3w.sce
|
1ea2dbcedb7ed2ad7d4a7d3ee890f99ca558b63d
|
[] |
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
| 734
|
sce
|
8_3w.sce
|
//developed in windows XP operating system 32bit
//platform Scilab 5.4.1
clc;clear;
//example 8.3w
//calculation of the power delivered by the pulling force and average power
//given data
m=2//mass(in kg)
theta=30//angle(in degree)
a=1//acceleration(in m/s^2) of the block
t=4//time(in s)
g=9.8//gravitational acceleration(in m/s^2) of the earth
//calculation
F=(m*g*sind(theta))+(m*a)//resolving the forces parallel to the incline
v=a*t
P=F*v//equation of power
d=a*t*t/2//from equation of motion
W=F*d
pavg=W/t//average power delivered
printf('the power delivered by the pulling force at t=4 s is %d W',P)
printf('\nthe average power delivered by the pulling force between t=0 s to t=4 s is %3.1f W',pavg)
|
c42fa643abd286c1e8c5e051a54851c9f96878a8
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2519/CH16/EX16.10/Ex16_10.sce
|
ee4aacca856a6eea7c798b09314a3b0899a6ec7c
|
[] |
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
| 278
|
sce
|
Ex16_10.sce
|
clc
clear
//Initialization of variables
y=13
x=12
M2=18
M=170
p=0.4593
vfg=694.9
J=778.2
m=9*18
u1=-2363996 //Btu
//calculations
z=y*M2/M
hfg=1050.4 //Btu/lbm
ufg= hfg- p*vfg*144/J
dU=ufg*m
Lhv=u1+dU
//results
printf("Lower heating value = %d Btu/lbm",Lhv)
|
8fe14b67618441137667503b753c0219ea506306
|
584105ff5b87869494a42f632079668e4c3f82de
|
/TestCases/OpticalFlowFarneback/test3.sce
|
7166aef4fb8f4dbd016bba4d9d8ed4073cac2e55
|
[] |
no_license
|
kevgeo/FOSSEE-Computer-Vision
|
0ceb1aafb800580498ea7d79982003714d88fb48
|
9ca5ceae56d11d81a178a9dafddc809238e412ba
|
refs/heads/master
| 2021-01-17T21:11:31.309967
| 2016-08-01T14:45:40
| 2016-08-01T14:45:40
| 63,127,286
| 6
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 1,214
|
sce
|
test3.sce
|
//Reading path of file and executing function
//Checking if error message pops up when NumPyramidLevels is less than one
opticalFlowFarneback("FileName","ped.avi","NumPyramidLevels",0.6);
//output
//!--error 999
//Invalid Value for NumPyramidLevels. Please enter value more than or equal to one.
//Reading path of file and executing function
//Checking if error message pops up when NumPyramidLevels is less than one
opticalFlowFarneback("FileName","juggling.mp4","NumPyramidLevels",0.6);
//output
//!--error 999
//Invalid Value for NumPyramidLevels. Please enter value more than or equal to one.
//Reading path of file and executing function
//Checking if error message pops up when NumPyramidLevels is less than one
opticalFlowFarneback("FileName","juggling2.mp4","NumPyramidLevels",0.6);
//output
//!--error 999
//Invalid Value for NumPyramidLevels. Please enter value more than or equal to one.
//Reading path of file and executing function
//Checking if error message pops up when NumPyramidLevels is less than one
opticalFlowFarneback("FileName","singleball.avi","NumPyramidLevels",0.6);
//output
//!--error 999
//Invalid Value for NumPyramidLevels. Please enter value more than or equal to one.
|
c52e5ce4bfddd646604178d6392190d02c48b855
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1938/CH7/EX7.28/7_28.sce
|
75a7ec592e872b5e8e9b83e40de648436e3aa9a8
|
[] |
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
| 567
|
sce
|
7_28.sce
|
clc,clear
printf('Example 7.28\n\n')
V_L=400,V_ph=V_L/sqrt(3)
Z_s=complex(0.5,4) //synchronous impedance
theta=(%pi/180)*phasemag(Z_s) //phasemag returns angle in degrees ,not radians
I_aph=60
phi=acos(0.866) //leading
power_losses=2*10^3
E_bph = sqrt( (I_aph*abs(Z_s))^2 + (V_ph)^2 - 2*(I_aph*abs(Z_s))*(V_ph)*cos(phi+theta) )
delta=theta //for P_m_max
P_m_max = (E_bph*V_ph/abs(Z_s))- (E_bph^2/abs(Z_s))*cos(delta)
P_m_max_total= 3 * P_m_max
P_out_max= P_m_max_total- power_losses
printf('Maximum power output is %.4f kW',P_out_max*10^-3)
|
4905b8deb3e5b6caec53f032b6202c901a44f8d6
|
139d4a83f28a14dc04c48d99a492bec7abcc3229
|
/lab2_v8/variables.sce
|
8b3075be64c67f8b5022dbb1dc3989c9dae7ac14
|
[
"MIT"
] |
permissive
|
s-kostyuk/labs_alg
|
0f78d0a5df7b94f9190bc3b45a077fb3e68e74fb
|
320902e94d9bfde9d7a13a427b315605929dec17
|
refs/heads/master
| 2021-01-10T03:54:40.483782
| 2015-12-03T22:52:39
| 2015-12-03T22:56:46
| 44,764,651
| 0
| 2
| null | 2015-12-01T15:07:01
| 2015-10-22T18:20:28
|
Scilab
|
UTF-8
|
Scilab
| false
| false
| 456
|
sce
|
variables.sce
|
//29, 32x 1 + 4, 48x 2 + 9, 98x 3 +1, 22x 4 = −201, 94
//5, 33x 1 + 31, 78x 2 +10, 06x 3 + 4, 29x 4 = −244, 29
//−14, 75x 1 − 5, 23x 2 + 29, 55x 3 − 5,85x 4 = −165,13
//13, 22x 1 + 0, 62x 2 −10,85x 3 + 32,17x 4 = −327, 99
A = [ 29.32, 4.48, 9.98, 1.22;
5.33, 31.78, 10.06, 4.29;
-14.75, -5.23, 29.55, -5.85;
13.22, 0.62, -10.85, 32.17 ];
b = [ -201.94; -244.29; -165.13; -327.99 ];
density = 0.0001;
|
76ad941ff2c9243b729586d090efc98428ecc61c
|
1b969fbb81566edd3ef2887c98b61d98b380afd4
|
/Rez/bivariate-lcmsr-post_mi/bfas_nw_hrz_ind_d/~BivLCM-SR-bfas_nw_hrz_ind_d-PLin-VLin.tst
|
2f2ca69e2e69698c70bc3fd78c630e52a40937cc
|
[] |
no_license
|
psdlab/life-in-time-values-and-personality
|
35fbf5bbe4edd54b429a934caf289fbb0edfefee
|
7f6f8e9a6c24f29faa02ee9baffbe8ae556e227e
|
refs/heads/master
| 2020-03-24T22:08:27.964205
| 2019-03-04T17:03:26
| 2019-03-04T17:03:26
| 143,070,821
| 1
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 11,974
|
tst
|
~BivLCM-SR-bfas_nw_hrz_ind_d-PLin-VLin.tst
|
THE OPTIMIZATION ALGORITHM HAS CHANGED TO THE EM ALGORITHM.
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
1 2 3 4 5
________ ________ ________ ________ ________
1 0.443317D+00
2 -0.596464D-02 0.361682D-02
3 -0.162324D-01 0.185297D-02 0.272227D+00
4 0.126482D-02 -0.809139D-04 -0.260116D-02 0.225995D-02
5 -0.314205D-03 -0.355907D-04 -0.174868D-02 0.288113D-04 0.199612D-02
6 0.591776D-03 -0.555625D-04 0.133792D-03 0.544650D-04 -0.309004D-04
7 0.990139D-03 -0.888519D-04 -0.811967D-04 -0.495371D-04 -0.207527D-03
8 0.164012D-02 -0.182611D-03 -0.353978D-03 -0.598273D-04 0.655226D-04
9 0.360509D+00 -0.368632D-01 0.252277D+00 -0.129146D-01 0.365691D-01
10 0.146934D+00 -0.560081D-02 -0.700648D-01 0.248608D-02 0.121535D+00
11 0.120218D+00 -0.425148D-01 -0.335606D-01 -0.251648D-02 0.604407D-03
12 -0.342732D+00 -0.129406D-02 -0.825322D+00 0.673485D-01 0.185503D-01
13 0.143764D+00 -0.364372D-02 -0.587210D-01 -0.357280D-02 -0.157590D-01
14 0.442280D+00 -0.194746D-01 -0.696244D+00 -0.303009D-02 0.234187D-01
15 0.802685D+00 0.689461D-01 0.724832D+00 0.645918D-02 -0.864550D-01
16 0.581972D-01 0.405935D-03 0.189473D-01 0.259027D-02 -0.379096D-03
17 -0.604552D-02 0.335195D-03 -0.106885D-02 0.331625D-03 -0.566738D-03
18 0.645217D+00 0.327453D-02 0.197334D+00 -0.321809D-01 -0.103110D-01
19 -0.263598D-01 -0.497099D-02 -0.773135D-01 -0.939554D-03 0.256851D-02
20 -0.847717D-01 -0.308028D-01 -0.104616D+01 -0.136764D-01 -0.401320D-01
21 0.737167D-01 0.791391D-02 0.960788D-01 -0.251651D-02 -0.106353D-02
22 -0.196456D-02 0.469959D-03 -0.174730D-02 0.481545D-03 0.375757D-04
23 -0.567081D-02 -0.950138D-03 0.163760D-01 -0.831106D-02 0.373879D-03
24 -0.403179D-04 0.437325D-03 -0.283419D-02 0.277948D-03 0.257822D-03
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
6 7 8 9 10
________ ________ ________ ________ ________
6 0.627663D-03
7 0.457926D-03 0.222226D-02
8 -0.484561D-04 0.232643D-03 0.219500D-02
9 -0.969230D-02 -0.161591D-01 0.306864D-01 0.989836D+02
10 0.421239D-02 0.564705D-02 0.335982D-02 0.374431D+00 0.261274D+02
11 0.407945D-01 0.665938D-01 -0.169565D-01 -0.138627D+02 0.499422D+00
12 0.165730D-01 -0.160037D-01 0.770663D-01 0.753311D+01 -0.514214D+00
13 0.487352D-01 0.877240D-01 0.625812D-02 -0.258321D+01 -0.277375D+01
14 -0.617536D-02 0.141968D-01 0.206578D+00 0.499390D+01 0.663678D+01
15 0.209953D-01 0.563176D-01 -0.263721D-01 -0.111799D+02 -0.995233D+01
16 -0.186380D-02 -0.222027D-02 0.212172D-02 0.727922D+00 -0.860356D-01
17 0.795545D-04 0.889875D-05 0.171195D-04 -0.190656D+00 -0.850192D-01
18 -0.349922D-01 -0.907870D-01 0.578762D-02 0.146274D+02 -0.141721D+01
19 -0.222185D-02 0.231854D-01 0.455513D-02 0.258997D+00 0.812176D+00
20 -0.158860D-01 -0.133953D-01 -0.133315D+00 -0.447618D+01 -0.275323D+01
21 0.450945D-02 -0.200982D-01 -0.710061D-02 -0.587004D+00 -0.445468D+00
22 -0.280530D-03 -0.388522D-03 0.450619D-04 -0.710382D-01 -0.184533D-01
23 -0.996096D-03 -0.745372D-03 0.199598D-02 -0.869833D-01 -0.398634D-01
24 0.126259D-03 0.459046D-04 -0.466248D-03 0.131020D-01 0.272730D-01
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
11 12 13 14 15
________ ________ ________ ________ ________
11 0.560618D+02
12 0.605336D+01 0.220758D+03
13 0.135325D+01 -0.432282D+00 0.193657D+02
14 0.172177D+01 0.179669D+02 0.139021D+01 0.669030D+02
15 0.114616D+02 0.742502D+01 0.376440D+01 -0.139153D+01 0.515713D+03
16 0.222578D-01 0.919025D-01 -0.376050D-01 0.127114D+00 0.579649D+01
17 -0.209990D-01 0.961518D-03 -0.933163D-03 -0.504112D-01 -0.259413D+01
18 -0.989291D+01 0.397832D+01 -0.807580D+01 -0.974573D+00 -0.287028D+02
19 0.433725D+01 0.501754D+01 -0.367697D+00 0.984203D+00 -0.614077D+01
20 0.241982D+01 -0.428698D+02 -0.879289D+00 -0.279509D+02 0.191566D+02
21 -0.342041D+01 -0.530725D+01 0.398362D+00 -0.102972D+01 0.526280D+01
22 -0.100458D+00 -0.488400D-01 -0.235209D-01 -0.874901D-02 -0.498526D-03
23 -0.891994D-01 0.238729D+00 0.121064D+00 0.277966D+00 -0.143183D+01
24 0.137536D-01 -0.242118D-01 -0.360384D-02 -0.684546D-01 0.633139D-01
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
16 17 18 19 20
________ ________ ________ ________ ________
16 0.808443D+00
17 -0.719589D-01 0.286257D-01
18 -0.290052D+00 0.556396D-01 0.213418D+03
19 -0.101054D+00 0.591563D-01 -0.762597D+00 0.627318D+01
20 -0.722371D+00 0.143025D-01 -0.215310D+00 -0.122306D+01 0.242474D+03
21 -0.212814D-01 -0.293983D-01 0.323453D+01 -0.596613D+01 0.337590D+01
22 0.131180D-01 0.843465D-03 -0.945362D+00 -0.215193D-01 -0.800963D-02
23 0.810014D-02 0.865848D-02 0.115672D+01 0.125920D+00 0.267717D+01
24 0.429610D-02 -0.434661D-03 -0.100118D+00 0.396742D-02 -0.119949D+01
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
21 22 23 24
________ ________ ________ ________
21 0.706062D+01
22 -0.295874D-01 0.109150D-01
23 -0.448636D-01 -0.772302D-02 0.427917D+00
24 -0.214546D-01 0.759170D-03 -0.389417D-01 0.145446D-01
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
1 2 3 4 5
________ ________ ________ ________ ________
1 1.000
2 -0.149 1.000
3 -0.047 0.059 1.000
4 0.040 -0.028 -0.105 1.000
5 -0.011 -0.013 -0.075 0.014 1.000
6 0.035 -0.037 0.010 0.046 -0.028
7 0.032 -0.031 -0.003 -0.022 -0.099
8 0.053 -0.065 -0.014 -0.027 0.031
9 0.054 -0.062 0.049 -0.027 0.082
10 0.043 -0.018 -0.026 0.010 0.532
11 0.024 -0.094 -0.009 -0.007 0.002
12 -0.035 -0.001 -0.106 0.095 0.028
13 0.049 -0.014 -0.026 -0.017 -0.080
14 0.081 -0.040 -0.163 -0.008 0.064
15 0.053 0.050 0.061 0.006 -0.085
16 0.097 0.008 0.040 0.061 -0.009
17 -0.054 0.033 -0.012 0.041 -0.075
18 0.066 0.004 0.026 -0.046 -0.016
19 -0.016 -0.033 -0.059 -0.008 0.023
20 -0.008 -0.033 -0.129 -0.018 -0.058
21 0.042 0.050 0.069 -0.020 -0.009
22 -0.028 0.075 -0.032 0.097 0.008
23 -0.013 -0.024 0.048 -0.267 0.013
24 -0.001 0.060 -0.045 0.048 0.048
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
6 7 8 9 10
________ ________ ________ ________ ________
6 1.000
7 0.388 1.000
8 -0.041 0.105 1.000
9 -0.039 -0.034 0.066 1.000
10 0.033 0.023 0.014 0.007 1.000
11 0.217 0.189 -0.048 -0.186 0.013
12 0.045 -0.023 0.111 0.051 -0.007
13 0.442 0.423 0.030 -0.059 -0.123
14 -0.030 0.037 0.539 0.061 0.159
15 0.037 0.053 -0.025 -0.049 -0.086
16 -0.083 -0.052 0.050 0.081 -0.019
17 0.019 0.001 0.002 -0.113 -0.098
18 -0.096 -0.132 0.008 0.101 -0.019
19 -0.035 0.196 0.039 0.010 0.063
20 -0.041 -0.018 -0.183 -0.029 -0.035
21 0.068 -0.160 -0.057 -0.022 -0.033
22 -0.107 -0.079 0.009 -0.068 -0.035
23 -0.061 -0.024 0.065 -0.013 -0.012
24 0.042 0.008 -0.083 0.011 0.044
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
11 12 13 14 15
________ ________ ________ ________ ________
11 1.000
12 0.054 1.000
13 0.041 -0.007 1.000
14 0.028 0.148 0.039 1.000
15 0.067 0.022 0.038 -0.007 1.000
16 0.003 0.007 -0.010 0.017 0.284
17 -0.017 0.000 -0.001 -0.036 -0.675
18 -0.090 0.018 -0.126 -0.008 -0.087
19 0.231 0.135 -0.033 0.048 -0.108
20 0.021 -0.185 -0.013 -0.219 0.054
21 -0.172 -0.134 0.034 -0.047 0.087
22 -0.128 -0.031 -0.051 -0.010 0.000
23 -0.018 0.025 0.042 0.052 -0.096
24 0.015 -0.014 -0.007 -0.069 0.023
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
16 17 18 19 20
________ ________ ________ ________ ________
16 1.000
17 -0.473 1.000
18 -0.022 0.023 1.000
19 -0.045 0.140 -0.021 1.000
20 -0.052 0.005 -0.001 -0.031 1.000
21 -0.009 -0.065 0.083 -0.896 0.082
22 0.140 0.048 -0.619 -0.082 -0.005
23 0.014 0.078 0.121 0.077 0.263
24 0.040 -0.021 -0.057 0.013 -0.639
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
21 22 23 24
________ ________ ________ ________
21 1.000
22 -0.107 1.000
23 -0.026 -0.113 1.000
24 -0.067 0.060 -0.494 1.000
|
cd9910c3be89fba2e76def203cd9526f33b88908
|
52f5a79ebadf29e2886413996e4ae855b9ed3a00
|
/vuejs/nginx.tst
|
b8074899ca97978dd1ca7dee0a6c0562a452bf7f
|
[] |
no_license
|
fernandotugu/estudos
|
97bb20c66966f8d6c6657a3f6fcab17bfe86c1eb
|
e73d25e7e76aa77de59130fdd95a394ab7baeb7f
|
refs/heads/master
| 2023-01-06T22:59:07.256808
| 2020-01-15T19:54:03
| 2020-01-15T19:54:03
| 199,859,219
| 0
| 0
| null | 2023-01-05T03:11:47
| 2019-07-31T13:13:53
|
Vue
|
UTF-8
|
Scilab
| false
| false
| 33
|
tst
|
nginx.tst
|
rewrite ^(.+)$ /index.html last;
|
d5d97bc7f23fd81c4faf9691ac01ffbc06f19e69
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/710/CH11/EX11.1/11_1.sci
|
9d6a8769164345ac602bb2fd0dbebe27d70c518f
|
[] |
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
| 216
|
sci
|
11_1.sci
|
clc();
clear;
//To calculate the radius of Li(mass no.7)
r0=1.2; //in fm
A=7; //mass number
//r=r0*(A)^1/3
r=r0*(A)^(1/3)
printf("The radius of Li with mass number 7 is %f fm",r);
|
feaa91ac54cc73405ee4d8898d32108537516e1f
|
01ecab2f6eeeff384acae2c4861aa9ad1b3f6861
|
/sci2blif/rasp_design_added_blocks/HH_RG_3s.sce
|
e6ca562e923c4aec96760d9dc74c9862f00eeb47
|
[] |
no_license
|
jhasler/rasp30
|
9a7c2431d56c879a18b50c2d43e487d413ceccb0
|
3612de44eaa10babd7298d2e0a7cddf4a4b761f6
|
refs/heads/master
| 2023-05-25T08:21:31.003675
| 2023-05-11T16:19:59
| 2023-05-11T16:19:59
| 62,917,238
| 3
| 3
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 104
|
sce
|
HH_RG_3s.sce
|
style.fontSize=12;
style.displayedLabel="HH_RG_3s";
pal1_1=xcosPalAddBlock(pal1_1,"HH_RG_3s",[],style);
|
807b170fa893a9d7d30ac94852c9865c58c3750e
|
8217f7986187902617ad1bf89cb789618a90dd0a
|
/browsable_source/2.5/Unix-Windows/scilab-2.5/tests/examples/spchol.man.tst
|
a35b5453e7088e1618b3ef65ff79d3b40123b534
|
[
"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
| 673
|
tst
|
spchol.man.tst
|
clear;lines(0);
X=[
3., 0., 0., 2., 0., 0., 2., 0., 2., 0., 0. ;
0., 5., 4., 0., 0., 0., 0., 0., 0., 0., 0. ;
0., 4., 5., 0., 0., 0., 0., 0., 0., 0., 0. ;
2., 0., 0., 3., 0., 0., 2., 0., 2., 0., 0. ;
0., 0., 0., 0. , 5., 0., 0., 0., 0., 0., 4. ;
0., 0., 0., 0., 0., 4., 0., 3., 0., 3., 0. ;
2., 0., 0., 2., 0., 0., 3., 0., 2., 0., 0. ;
0., 0., 0., 0., 0., 3., 0., 4., 0., 3., 0. ;
2., 0., 0., 2., 0., 0., 2., 0., 3., 0., 0. ;
0., 0., 0., 0., 0., 3., 0., 3., 0., 4., 0. ;
0., 0., 0., 0., 4., 0., 0., 0., 0., 0., 5.];
X=sparse(X);[R,P] = spchol(X);
max(P*R*R'*P'-X)
|
ac0e974455ef7e0a0e9aa198f586dd6e1a9567f0
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/52/CH2/EX2.17/Example2_17.sce
|
dbc5d815d1fcad6fac5d3b18ad54e2411ccd29b3
|
[] |
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
| 142
|
sce
|
Example2_17.sce
|
//Example 2.17
//To draw the pole-zero plot
clear;
clc ;
close ;
z=%z
H1Z=((z)*(z-1))/((z-0.25)*(z-0.5));
xset('window',1);
plzr(H1Z);
|
52d1e36bd1b5d591b5ba3738e2320efedee1f4c0
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3835/CH6/EX6.10/Ex6_10.sce
|
3f29ac343bd1e531b5ca85946640fe27a4e4174c
|
[] |
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
| 377
|
sce
|
Ex6_10.sce
|
clear
//
//at unity power factor
op=15000
n=0.98
i=op/(n)
printf("\n %0.3f ",i)
loss=i-op
printf("\n %0.3f ",loss)
pc=(loss)/2000 //actually division by 2 but value given only to make pc 0.153 instead of 153
t=pc*24 //iron loss in a day
toteng=20+96+108 //sum of energy outputs
engloss=0.109+1.224+1.632 //sum of energy losses
n=toteng/(engloss+toteng+t)
printf("\n %0.3f ",n)
|
7c792b5c030741b6ac56e49baeb5ab7a31d0e375
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3720/CH12/EX12.17/Ex12_17.sce
|
d1437073a72498f07b5260eab8b5b6e764d0d4d9
|
[] |
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
| 896
|
sce
|
Ex12_17.sce
|
//Example 12_17
clc;clear;
// Given values
V_1=85;// m/s
P_1=220;// kPa
T_1=450;// K
f=0.023;// The average friction factor for the duct
L=27;// m
// Properties
k=1.4;// Specific Heat ratio
C_p=1.005;// kJ/kg.K
R=0.287;// kJ/kg.K
// Calculation
c_1=sqrt(k*R*T_1*1000);// m/s
Ma_1=(V_1/c_1);
// From Table A-16,
fLbyDh1=14.5333;
D_h=0.05;// m
fLbyDh=(f*L)/D_h;
fLbyDh2=fLbyDh1-fLbyDh;
// The Mach number corresponding to this value of fL*/D is 0.42, obtained from Table A–16,
Ma_2=0.42;// The Mach number at the duct exit
rho_1=(P_1)/(R*T_1);// kg/m^3
A=(%pi/4)*(D_h)^2;// m^2
m_air=rho_1*A*V_1;// kg/s
printf('\nThe Mach number at the duct exit=%0.2f \nThe mass flow rate of air=%0.3f kg/s',Ma_2,m_air);
L_max1=fLbyDh1*(D_h/f);// m
L_max2=fLbyDh2*(D_h/f);// m
printf('\nThe maximum length at inlet=%0.1f m \nThe maximum length at exit=%0.1f m',L_max1,L_max2);
|
eae9cb36d6d76d7df799bb04323c021f30cf4ede
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2705/CH8/EX8.23/Ex8_23.sce
|
6a5a20ce2ff9b35557dec8f3e8f1f6492d2305c9
|
[] |
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
| 1,628
|
sce
|
Ex8_23.sce
|
clear;
clc;
disp('Example 8.23');
// aim : To determine
// (a) the actual quantity of air supplied/kg of fuel
// (b) the volumetric efficiency of the engine
// given values
d = 300*10^-3;// bore,[m]
L = 460*10^-3;// stroke,[m]
N = 200;// engine speed, [rev/min]
C = 87;// %age mass composition of Carbon in the fuel
H2 = 13;// %age mass composition of H2 in the fuel
mc = 6.75;// fuel consumption, [kg/h]
CO2 = 7;// %age composition of CO2 by volume
O2 = 10.5;// %age composition of O2 by volume
N2 = 7;// %age composition of N2 by volume
mC = 12;// moleculer mass of CO2,[kg/kmol]
mH2 = 2;// moleculer mass of H2, [kg/kmol]
mO2 = 32;// moleculer mass of O2, [kg/kmol]
mN2 = 28;// moleculer mass of N2, [kg/kmol]
T = 273+17;// atmospheric temperature, [K]
P = 100;// atmospheric pressure, [kn/m^2]
R =.287;// gas constant, [kJ/kg k]
// solution
// (a)
// combustion equation by no. of moles
// 87/12 C + 13/2 H2 + a O2+79/21*a N2 = b CO2 + d H2O + eO2 + f N2
// equating coefficient
b = 87/12;// [mol]
a = 22.7;// [mol]
e = 10.875;// [mol]
f = 11.8*b;// [mol]
// so fuel side combustion equation is
// 87/12 C + 13/2 H2 +22.7 O2 +85.5 N2
mair = ( 22.7*mO2 +85.5*mN2)/100;// mass of air/kg fuel, [kg]
mprintf('\n (a) The mass of actual air supplied per kg of fuel is = %f kg\n',mair);
// (b)
m = mair*mc/60;// mass of air/min, [kg]
V = m*R*T/P;// volumetric flow of air/min, [m^3]
SV = %pi/4*d^2*L*N/2;// swept volume/min, [m^3]
VE = V/SV;// volumetric efficiency
mprintf('\n (b) The volumetric efficiency of the engine is = %fpercent\n',VE*100);
// End
|
5907c9ec91a425d7a06b15ddcfe5fa1850cd127e
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/10/CH2/EX2/cha2_2.sce
|
73346ed7c08560f8fd2b3ef3012ef60d2c07e308
|
[] |
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
| 455
|
sce
|
cha2_2.sce
|
Vh=220;Ih=4.55;Wl=100;
Vl=150;Il=2.5;Wh=215;
Vhrated=2200;Vlrated=220;
Ihrated=4.55;Ilrated=45.5;
Rcl=Vlrated^2/Wl
Poc=(Vlrated^2/Rcl)
Icl=Vlrated/Rcl
Iml=(Il^2-Icl^2)^(1/2)
Xml=Vlrated/Iml
A=Vhrated/Vlrated
Rch=A^2*Rcl
Xmh=A^2*Xml
Reqh=215/Ihrated^2
Psc=Ihrated^2*Reqh
Zeqh=Vl/Ihrated
Xeqh=(Zeqh^2-Reqh^2)^(1/2)
Reql=Reqh/A^2
Xeql=Xeqh/A^2
P=(Poc/(Vlrated*Il))
Psh=(Psc/(Vl*Ihrated))
|
30c4b5c15f2608a80abaf58943a648214694b8b4
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/647/CH6/EX6.3/Example6_3.sce
|
cc3d201079a5d9ab7a2a85d6f009510fce054075
|
[] |
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
| 515
|
sce
|
Example6_3.sce
|
clear;
clc;
// Example: 6.3
// Page: 206
printf("Example: 6.3 - Page: 206\n\n");
// Solution
// *****Data******//
P1 = 361.3;// [kPa]
T1 = 140 + 273;// [K]
P2 = 617.8;// [kPa]
T2 = 160 + 273;// [K]
T = 150 + 273;// [K]
Vg = 0.3917;// [cubic m/kg]
//****************//
// From Eqn. 6.56
// dP/dT = deltaH/(T*(Vg - V1)) = deltaH/(T*Vg)
deltaP = P2 - P1;// [kPa]
deltaT = T2 - T1;// [K]
deltaH = T*Vg*deltaP/deltaT;// [kJ/kg]
printf("Enthalpy of Vaporisation is %d kJ/kg\n",round(deltaH));
|
2c74fbc1fc151e247a9bde0276ba6d497fafe959
|
5f48beee3dc825617c83ba20a7c82c544061af65
|
/tests/s/69.tst
|
5d80fe893773cd6b47cb29e1cfafb09dc3403e6b
|
[] |
no_license
|
grenkin/compiler
|
bed06cd6dac49c1ca89d2723174210cd3dc8efea
|
30634ec46fba10333cf284399f577be7fb8e5b61
|
refs/heads/master
| 2020-06-20T12:44:17.903582
| 2016-11-27T03:08:20
| 2016-11-27T03:08:20
| 74,863,612
| 3
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 36
|
tst
|
69.tst
|
int f(float x, int y) {
f(1, 1);
}
|
0747327accf0eaeb347644f40494148ae42257c0
|
599f0a0e4ce3b87cc146adbf7d6d77955208d020
|
/CLA16Bit/CLA4Bit.tst
|
bd1c474420c3b5807338032ed1397ffb92cb21c3
|
[] |
no_license
|
rachit173/System-Design
|
92c80fe16da8cddfcb8297e7939c6487d8e3e0c5
|
d084aabf33fb9b1dcacaf4ac21a312493a1ef7f3
|
refs/heads/master
| 2021-08-31T15:08:35.064961
| 2017-12-21T20:51:47
| 2017-12-21T20:51:47
| 115,045,974
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 390
|
tst
|
CLA4Bit.tst
|
load CLA4Bit.hdl,
output-file CLA4Bit.out,
compare-to CLA4Bit.cmp,
output-list a%B1.4.1 b%B1.4.1 s%B1.4.1 cout%B5.1.5;
set cin %B0;
set a %B0000,
set b %B0000,
eval,
output;
set a %B0000,
set b %B1111,
eval,
output;
set a %B1111,
set b %B1111,
eval,
output;
set a %B1010,
set b %B0101,
eval,
output;
set a %B0011,
set b %B0000,
eval,
output;
set a %B0001,
set b %B1001,
eval,
output;
|
3da02d204ad907046bfeed1b80d5323f2f8f60ef
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3547/CH7/EX7.2/Ex7_2.sce
|
ebc5cbf47f917dc2276fb56975dc1cc8c3a5288f
|
[] |
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
| 3,693
|
sce
|
Ex7_2.sce
|
// Example no. 7.2
// To calculate exact and approximate Q-factor if the signal is (a)OOK, (b) PSK
// Page no. 311
clc;
clear;
// Given data
lambda=1.55*10^(-6); // Wavelength of given signal
meanPin=1; // Mean fiber launch power in dBm
alpha=0.2; // fiber loss in dB/km
l=240; // fiber length in km
neta=0.7; // quantum efficiency
T = 290; // Tempearture in K
RL=100; // Length resistance in Ω
PLOdBm = 10; // Power at local oscillator in dBm
Be = 7.5*10^9; // Efficient bandwidth of filter in Hz
c=3*10^8; // Speed of ligth in air in m/s
loss=alpha*l; // Total fiber loss
q=1.602*10^(-19); // Charge of electron
h=6.626*10^(-34); // Planck constant
kB=1.38*10^(-23); // Bolzman constant
f=c/lambda; // mean frequency
R=(neta*q)/(h*f); // Responsivity
//For OOK
Pin=10*log10(2)+meanPin; // peak power in dBm
P1rdBm=Pin-loss; // received peak power in dBm
P1r=(10^(P1rdBm/10))*10^(-3); // received peak power in W
PLO=(10^(PLOdBm/10))*10^(-3); // Power at local oscillator in W
I1=2*R*sqrt(P1r*PLO); // mean of bit 1
sigma1=2*q*Be*R*(P1r+PLO)+(4*kB*T*Be)/RL; // Square of variance of bit 1
I0=0; // mean of bit 0
sigma0=sigma1; // Square of variance of bit 0
Q1=(I1-I0)/(2*sqrt(sigma1)); // Exact Q-factor
Q2=sqrt((neta*P1r)/(2*h*f*Be)); // Approximate Q-factor
// Displaying the result in command window
printf('\n Exact Q-factor if the signal is OOK = %0.1f',Q1);
printf('\n Approximate Q-factor if the signal is OOK = %0.1f',Q2);
// For PSK
P1rdBm=meanPin-loss; // received peak power in dBm
P1r=(10^(P1rdBm/10))*10^(-3); // received peak power in W
I1=2*R*sqrt(P1r*PLO); // mean of bit 1
sigma1=2*q*Be*R*(P1r+PLO)+(4*kB*T*Be)/RL; // Square of variance of bit 1
I0=-I1; // mean of bit 0
sigma0=sigma1; // Square of variance of bit 0
Q1=I1/sqrt(sigma1); // Exact Q-factor
Q2=sqrt((2*neta*P1r)/(h*f*Be)); // Approximate Q-factor
// Displaying the result in command window
printf('\n Exact Q-factor if the signal is PSK = %0.2f',Q1);
printf('\n Approximate Q-factor if the signal is PSK = %0.2f',Q2);
|
d36a5120dc262315032630260b0ec4f6b45f76e9
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/881/CH24/EX24.1/exa24_1.sce
|
3ae33f252402303cee55739da7ed87ddc8731d22
|
[] |
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
| 242
|
sce
|
exa24_1.sce
|
clc;
//Example 24.1
//Page No 981
//soution
f=18*10^9;
D=16*10^3;
c=3*10^8
disp("free space path loss based on inverse square law, which yields, ");
lp=((4*%pi*D*f)/c)^2;
disp(lp,"Lp = ");
Lp=10*log10(lp);
disp('db',Lp,"Lp(dB) = ");
|
84c44697094ad0b66d1cca0a71bbe486ab2e11a9
|
6e257f133dd8984b578f3c9fd3f269eabc0750be
|
/ScilabFromTheoryToPractice/Computing/testfind.sce
|
74dc2a5f48bcc4c63b890c0475ffb853ee82a945
|
[] |
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
| 299
|
sce
|
testfind.sce
|
// search
find([%F %F %T %F])
//vectors
L=grand(1,7,'uin',0,100)
i=find(L==L(3)) // i=3
i=find(L<50) // multiple results
// matrix
A=zeros(5,3);A(:)=15:-1:1
// entry (1,3) = entry number 11
[i,j]=find(A==5)
ind=find(A==5)
// A=7,8,9
[i,j]=find((A-7).^2<=1)
ind=find((A-7).^2<=1)
|
1e55468d6b4be0b01688df80921d5f18fdb641bc
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2282/CH6/EX6.3/ex6_3.sce
|
ea88f708b7ab92c48bf13608a238c405b1b9a2b7
|
[] |
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
| 920
|
sce
|
ex6_3.sce
|
// Example 6.2, page no-230
clear
clc
t=20 //TDMA frame length in ms
lc=352 //length of carrier and clock recovery frequency in bits
lu1=48 //length of unique word in bits
lo=510 //length of order wire channel in bits
lm= 256 //length of management channel in bits
lt=320 // length of transmit timming channel in bits
ls1=24 // length of service channel in bits
gt=64 // Guard time in bits
rb=2 // reference burst
br=90*10^6 //burst bit rate 90Mbps
dr= 64*10^3 //data rate 64 kbps
bfr=br*t*10^-3
lr=lc+lu1+lo+lm+lt
tb=lc+lu1+lo+ls1
tob=(lr*rb)+(tb*t)+((t+rb)*gt)
feff=(bfr-tob)*100/bfr
feff=ceil(feff*100)/100
vsb=dr*t*10^-3
x=bfr*feff/100
printf("The number of bits in a frame for a voice sub-burst is %d\n\n The total no of bits available in a frame for carrying traffic is %d\n\n Maximum no of PCM voice channels in a frame is %d channels",vsb,x,x/vsb)
|
017de71e83e8bd9635dc8f3c8a4ae9ffd9441866
|
491f29501fa7d484a5860f64aef3fa89fb18ca3d
|
/examples/electronics/IdealSwitch/computeResidu.sce
|
84b2bd4fb1e84104974e1bb757abef85a27437cb
|
[
"Apache-2.0"
] |
permissive
|
siconos/siconos-tutorials
|
e7e6ffbaaea49add49eddd317c46760393e3ef9a
|
0472c74e27090c76361d0b59283625ea88f80f4b
|
refs/heads/master
| 2023-06-10T16:43:13.060120
| 2023-06-01T07:21:25
| 2023-06-01T07:21:25
| 152,255,663
| 7
| 2
|
Apache-2.0
| 2021-04-08T12:00:39
| 2018-10-09T13:26:39
|
Jupyter Notebook
|
UTF-8
|
Scilab
| false
| false
| 68
|
sce
|
computeResidu.sce
|
Rr=nextR-nextG;
Ry=nextY-nextH;
Rfree=nextX-X_k;
Rx=Rfree - h*nextR;
|
3f6b4c692ef85357d166342288601a1e04c70b53
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3472/CH40/EX40.6/Example40_6.sce
|
01c586c056d5556ac87c96d2c5d6d9852ca5b5c6
|
[] |
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
| 1,423
|
sce
|
Example40_6.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 2: HEATING AND WELDING
// EXAMPLE : 2.6 :
// Page number 732
clear ; clc ; close ; // Clear the work space and console
// Given data
l = 10.0 // Length of material(cm)
b = 10.0 // Breadth of material(cm)
t = 3.0 // Thickness of material(cm)
f = 20.0*10**6 // Frequency(Hz)
P = 400.0 // Power absorbed(W)
e_r = 5.0 // Relative permittivity
PF = 0.05 // Power factor
// Calculations
e_0 = 8.854*10**-12 // Absolute permittivity
A = l*b*10**-4 // Area(Sq.m)
C = e_0*e_r*A/(t/100) // Capacitace of parallel plate condenser(F)
X_c = 1.0/(2*%pi*f*C) // Reactance of condenser(ohm)
phi = acosd(PF) // Φ(°)
R = X_c*tand(phi) // Resistance of condenser(ohm)
V = (P*R)**0.5 // Voltage necessary for heating(V)
I_c = V/X_c // Current flowing in the material(A)
// Results
disp("PART IV - EXAMPLE : 2.6 : SOLUTION :-")
printf("\nVoltage necessary for heating, V = %.f V", V)
printf("\nCurrent flowing in the material, I_c = %.2f A\n", I_c)
printf("\nNOTE: Changes in the obtained answer from that of textbook is due to more precision here & approximation in textbook")
|
db1939b3d188130789d01ba2a977eaa44cb6ec13
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/728/CH9/EX9.3/Ex9_3.sce
|
89c25e19579aeb3cf135f0aa95ba3cc2fda0d516
|
[] |
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
| 330
|
sce
|
Ex9_3.sce
|
//Caption:Calculate (i)-power gain in dB ,(ii)-power gain if it is USB converter.
//Exa:9.3
clc;
clear;
close;
f_s=2*10^9;//in Hz
f_p=12*10^9;//in Hz
R_i=16;
R_s=1000;
A_p=10*log((f_p-f_s)/f_s);
A_p_usb=10*log((f_p+f_s)/f_s);
disp(log(10),'Power gain (in dB) =');
disp(A_p_usb,'Power gain as USB converter (in dB) =');
|
95c50a7035df3f6975e9bf537f229b62c73ad784
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1538/CH12/EX12.2/Ex12_2.sce
|
4ada9a5cda29fe55e0f048b91cb70f5e42ffc3e2
|
[] |
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
|
Ex12_2.sce
|
//example-12.2
//page no-382
//given
//degree of polymerization of teflon
DOP=100000
//chemical formula of teflon is C2F4
//molecular weight of monomer teflon
Mm=2*12+4*19
//molecular weight of teflon polymer
Mp=DOP*Mm
//molecular weight of polythene monomer i.ee C2H4
MmP=2*12+4*1
//molecular weight of polythene polymer
MpP=DOP*MmP
printf ("molecular weight of PTFE anf Polythene are %d and %d",Mm,MpP)
//ratio of molecular weight of PTFE and Polythene
R=Mp/MpP
printf ("the ration of molecular weight of PTFE and Polythene having same DOP is %f",R)
|
f6aefe9d2f9d1a11344dee198f13a38302faa14c
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/14/CH7/EX7.5/example_7_5.sce
|
fca56d5d36ec465416449f418f8fde1c5da54b64
|
[] |
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
| 1,220
|
sce
|
example_7_5.sce
|
//chapter 7
//Example 7.5
//Page 181
//introcapacitor
clear;clc;
//Voltage Sources
Ea = 1.5;
Eb = 1.5*(cos(-36.87 * %pi / 180) + %i * sin(-36.87 * %pi / 180))
Ec = 1.5;
//admittances
Ya = -%i*0.8;
Yb = Ya;
Yc= Ya;
Yd = -%i*5;
Ye = -%i*8;
Yf = -%i*4;
Yg = -%i*2.5;
Yh = Yd;
//Value of capacitor introduced in node 4
C = 5.0 ;//in per unit
Xc = %i*C;
//current sourcs
I1 = Ea * Ya;
I2 = Eb * Yb;
I3 = I1;
I4 = 0;
//Self-admittances
Y11 = Yd + Yf + Ya;
Y22 = Yh + Yg + Yb;
Y33 = Ye + Yc + Yg + Yf;
Y44 = Yd + Ye + Yh;
//Mutual-admittances
Y12 = 0;Y21 = Y12;
Y13 = -Yf;Y31 = Y13;
Y14 = -Yd;Y41 = Y14;
Y23 = -Yg;Y32 = Y23;
Y24 = -Yh;Y42 = Y24;
Y34 = -Ye;Y43 = Y34;
//Matrix Form
I = [I1 ; I2 ; I3 ; I4];
Y = [Y11 Y12 Y13 Y14;Y21 Y22 Y23 Y24;Y31 Y32 Y33 Y34;Y41 Y42 Y43 Y44];
V = Y\I;
E_th = V(4,1);
Z = inv(Y);
Z_th = Z(4,4);
I_c = E_th / (Z_th - Xc);
disp('Thevenin equivalent of the circuit behind node four')
printf("\n Eth = %.2f /_%.2f per unit \n\n",abs(E_th),atan(imag(E_th),real(E_th)) * 180 / %pi)
disp('Thevenin equivalent impedance')
printf("\n Z_th = j%.2f per unit \n\n",imag(Z_th))
disp('Current drawn by the capacitor')
printf("\n Ic = %.2f /_%.2f per unit \n\n",abs(I_c),atan(imag(I_c),real(I_c)) * 180 / %pi)
|
cac0447537ef1770d69fe6c44320eb7169b9f500
|
8667898fde492ddc28b1a13f691abc256f30e1cb
|
/lab2.sce
|
20918976fe7bb4d668f58a4c76443bc976c01aa3
|
[] |
no_license
|
lainys/tsisa
|
f269a87516470d14cebc1d13365980030f9258a5
|
15c07d1f4fa4d73b876d63982eba4de323b44b84
|
refs/heads/master
| 2020-08-02T15:34:16.743889
| 2019-09-30T18:58:14
| 2019-09-30T18:58:14
| 211,411,674
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 1,650
|
sce
|
lab2.sce
|
function [p,err]=approx(f,G,Z,p0)
[p,err]=datafit(G,Z,p0)
xgrid;
xlabel('x');
ylabel('y');
scatter(X,Y);
x = -5:0.1:10;
plot2d(x,f(x,p),12);
endfunction
X = [1.28,2.00,2.91,4.07,5.00,6.00,7.01,7.89];
Y = [2.36,3.15,3.55,4.00,4.41,5.08,5.49,6.12];
Z = [X;Y];
scf();clf();
p0=[1;1;1;1;1];
//f1
function y=f1(x,p)
a = p(1);b = p(2);
y = a*x + b;
endfunction
function e=G1(p, z)
e=sum((z(2)-f1(z(1),p))^2);
endfunction
// f2
function y=f2(x,p)
a = p(1);b = p(2);c = p(3);
y = a*x^2 + b*x + c;
endfunction
function e=G2(p, z)
e=sum((z(2)-f2(z(1),p))^2);
endfunction
// f3
function y=f3(x,p)
a = p(1);b = p(2);c = p(3);d = p(4);
y = a*x^3 + b*x^2 + c*x + d;
endfunction
function e=G3(p, z)
e=sum((z(2)-f3(z(1),p))^2);
endfunction
// f4
function y=f4(x,p)
alp = p(1);bt = p(2);a = p(3);b = p(4);c = p(5);
y = alp*exp(a*x) + bt*exp(b*x) + c;
endfunction
function e=G4(p, z)
e=sum((z(2)-f4(z(1),p))^2);
endfunction
subplot(2,2,1);
approx(f1,G1,Z,p0);
subplot(2,2,2);
approx(f2,G2,Z,p0);
subplot(2,2,3);
approx(f3,G3,Z,p0);
subplot(2,2,4);
[p,err]=approx(f4,G4,Z,p0);
// ex2
X = [1 2 3 4];
Y = X^2 + 25*X - exp(X);
Z = [X;Y];
p0=[1;1;1;1;1];
scf();clf();
subplot(2,2,1);
approx(f1,G1,Z,p0);
subplot(2,2,2);
approx(f2,G2,Z,p0);
subplot(2,2,3);
approx(f3,G3,Z,p0)
subplot(2,2,4);
approx(f4,G4,Z,p0);
//ex3
c(1) = Y(1)
for i=1:3
temp1 = 1;
temp2 = 0;
for j = 1:i
temp2 = temp2 + temp1*c(j);
temp1 = temp1*(X(i+1)-X(j));
end
c(i+1) = Y(i+1) - temp2/temp1;
end
c
scf();clf();
xgrid;
scatter(X,Y);
x = -5:0.1:10;
plot2d(x,f3(x,c),12);
|
6fced2b6f02e780ee364652f8a89664321438ab0
|
8217f7986187902617ad1bf89cb789618a90dd0a
|
/source/2.3/macros/signal/dft.sci
|
1c1ef5e03e2ebfbfde60b9fcc9f4964cb415e2df
|
[
"MIT",
"LicenseRef-scancode-warranty-disclaimer",
"LicenseRef-scancode-public-domain"
] |
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
| 349
|
sci
|
dft.sci
|
function xf=dft(x,flag);
//xf=dft(x,flag);
//macro which computes dft of vector x
// x :input vector
// flag :indicates dft or idft
// xf :output vector
//!
//author: C. Bunks date: 29 Sept 1988
n=maxi(size(x));
arg=(0:n-1);
am=-2*%pi*%i*arg'*arg/n;
if flag=1 then,
am=-am;
end,
xf=exp(am)*matrix(x,n,1);
if flag=1 then,
xf=xf/n;
end
|
0d41c64745d2e0b9ba8c7380bc19f80f07165caf
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/22/CH10/EX10.4/ch10ex4.sce
|
d429c2a273c1888c42e4e61f14dab7730d88b5d8
|
[] |
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
| 195
|
sce
|
ch10ex4.sce
|
//signals and systems
//state space analysis
//state space description
clear;
close;
clc;
s=poly(0,'s');
H=[(4/3)/(1+s),-2/(3+s), (2/3)/(4+s)];
Sys=tf2ss(H)
clean(ss2tf(Sys))
disp(Sys)
|
bd5d920cb7adde591f1c196972a1a81ee1eb4c4a
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1985/CH10/EX10.1/Chapter10_example1.sce
|
dd2bad9cf63062e65752a382a6979c1503aa852c
|
[] |
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
| 479
|
sce
|
Chapter10_example1.sce
|
clc
clear
//Input data
mU235=235.044//Mass of U235 in a.m.u
mXe135=134.907//Mass of Xe135 in a.m.u
mMo98=97.906//Mass of Mo98 in a.m.u
mn=1.008665//Mass of neutron in a.m.u
//Calculations
LHS=mU235+mn//The total mass of the reactants in a.m.u
RHS=mMo98+mXe135+3*mn//The total mass of the products in a.m.u
md=LHS-RHS//Mass defect in a.m.u
E=(md*934.18)//Energy released in MeV
//Output
printf('The energy released in the nuclear fission reaction is %3i MeV',E)
|
3f8b0ea6b3e1838be93a4ccb7d00132a4cccca7a
|
8217f7986187902617ad1bf89cb789618a90dd0a
|
/browsable_source/2.5/Unix-Windows/scilab-2.5/macros/scicos/unhilite_obj.sci
|
4df2d7e39a533e071f9e78a856fcfb07c0549063
|
[
"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
| 440
|
sci
|
unhilite_obj.sci
|
function unhilite_obj(o)
//
// Copyright INRIA
dr=driver()
if dr=='Rec' then driver('X11'),end
if o(1)=='Block' then
graphics=o(2);
[orig,sz]=graphics(1:2)
thick=xget('thickness')
xset('thickness',6*thick);
xrect(orig(1),orig(2)+sz(2),sz(1),sz(2));
if pixmap then xset('wshow'),end
xset('thickness',thick);
elseif o(1)=='Link' then
o(6)(1)=5*max(o(6)(1),1)
drawobj(o)
if pixmap then xset('wshow'),end
end
driver(dr)
|
5a3dc0a1af8bafa10d1d570a8773bb9b4c098235
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1733/CH1/EX1.33/1_33.sce
|
4087a6512c36555e14d7a0d91e885f3731026931
|
[] |
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
| 263
|
sce
|
1_33.sce
|
//1.33
clc;
Im=1000;
De=0.14;
It=75;
np=(Im/It)/(1-De);
printf("np = %.2f ",np)
disp('so the no. of thyristors in parallel are 16')
Vs=7500;
De=0.14;
Vd=500;
ns=(Vs/Vd)/(1-De);
printf("ns = %.2f ",ns)
disp('so the no. of thyristors in series are 18')
|
2ab2e443c4e17739a88f5bf1537c4c1128de8a24
|
931df7de6dffa2b03ac9771d79e06d88c24ab4ff
|
/JustMonika's Apex Trainer.sce
|
7f757dcd11d7c64434e1abcfad286dfcd3f45257
|
[] |
no_license
|
MBHuman/Scenarios
|
be1a722825b3b960014b07cda2f12fa4f75c7fc8
|
1db6bfdec8cc42164ca9ff57dd9d3c82cfaf2137
|
refs/heads/master
| 2023-01-14T02:10:25.103083
| 2020-11-21T16:47:14
| 2020-11-21T16:47:14
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 178,061
|
sce
|
JustMonika's Apex Trainer.sce
|
Name=JustMonika's Apex Trainer
PlayerCharacters=Ascended Tracking
BotCharacters=moni1.bot;moni2.bot;moni3.bot;moni4.bot
IsChallenge=true
Timelimit=90.0
PlayerProfile=Ascended Tracking
AddedBots=moni1.bot;moni2.bot;moni3.bot;moni4.bot
PlayerMaxLives=0
BotMaxLives=0;0;0;0
PlayerTeam=1
BotTeams=2;2;2;0
MapName=ascendedstrafessmall.map
MapScale=3.8125
BlockProjectilePredictors=true
BlockCheats=true
InvinciblePlayer=false
InvincibleBots=false
Timescale=1.0
BlockHealthbars=false
TimeRefilledByKill=0.0
ScoreToWin=1000.0
ScorePerDamage=0.1
ScorePerKill=0.0
ScorePerMidairDirect=0.0
ScorePerAnyDirect=0.0
ScorePerTime=0.0
ScoreLossPerDamageTaken=0.0
ScoreLossPerDeath=0.0
ScoreLossPerMidairDirected=0.0
ScoreLossPerAnyDirected=0.0
ScoreMultAccuracy=false
ScoreMultDamageEfficiency=true
ScoreMultKillEfficiency=false
GameTag=Tracking
WeaponHeroTag=
DifficultyTag=2
AuthorsTag=KovaaK
BlockHitMarkers=false
BlockHitSounds=false
BlockMissSounds=true
BlockFCT=true
Description=Track 3 targets at a variety of ranges and angles. The weapon you use is hitscan and does more damage if you are centered on your target.
GameVersion=1.0.8.0
ScorePerDistance=0.0
MBSEnable=false
MBSTime1=0.25
MBSTime2=0.5
MBSTime3=0.75
MBSTime1Mult=1.0
MBSTime2Mult=2.0
MBSTime3Mult=3.0
MBSFBInstead=false
MBSRequireEnemyAlive=false
[Aim Profile]
Name=Default
MinReactionTime=0.3
MaxReactionTime=0.4
MinSelfMovementCorrectionTime=0.001
MaxSelfMovementCorrectionTime=0.05
FlickFOV=30.0
FlickSpeed=1.5
FlickError=15.0
TrackSpeed=3.5
TrackError=3.5
MaxTurnAngleFromPadCenter=75.0
MinRecenterTime=0.3
MaxRecenterTime=0.5
OptimalAimFOV=30.0
OuterAimPenalty=1.0
MaxError=40.0
ShootFOV=15.0
VerticalAimOffset=0.0
MaxTolerableSpread=5.0
MinTolerableSpread=1.0
TolerableSpreadDist=2000.0
MaxSpreadDistFactor=2.0
[Bot Profile]
Name=moni1
DodgeProfileNames=Long Strafes Jumping
DodgeProfileWeights=5.0
DodgeProfileMaxChangeTime=5.0
DodgeProfileMinChangeTime=1.0
WeaponProfileWeights=1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0
AimingProfileNames=Default;Default;Default;Default;Default;Default;Default;Default
WeaponSwitchTime=3.0
UseWeapons=true
CharacterProfile=Long Strafer
SeeThroughWalls=true
NoDodging=false
NoAiming=true
[Bot Profile]
Name=moni2
DodgeProfileNames=ADAD
DodgeProfileWeights=0.2
DodgeProfileMaxChangeTime=5.0
DodgeProfileMinChangeTime=1.0
WeaponProfileWeights=1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0
AimingProfileNames=Default;Default;Default;Default;Default;Default;Default;Default
WeaponSwitchTime=3.0
UseWeapons=true
CharacterProfile=Long Strafer
SeeThroughWalls=true
NoDodging=false
NoAiming=true
[Bot Profile]
Name=moni3
DodgeProfileNames=Circle Strafe
DodgeProfileWeights=1.0
DodgeProfileMaxChangeTime=5.0
DodgeProfileMinChangeTime=1.0
WeaponProfileWeights=1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0
AimingProfileNames=Default;Default;Default;Default;Default;Default;Default;Default
WeaponSwitchTime=3.0
UseWeapons=true
CharacterProfile=Long Strafer
SeeThroughWalls=true
NoDodging=false
NoAiming=true
[Bot Profile]
Name=moni4
DodgeProfileNames=MidStrafes
DodgeProfileWeights=1.0
DodgeProfileMaxChangeTime=5.0
DodgeProfileMinChangeTime=1.0
WeaponProfileWeights=1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0
AimingProfileNames=Default;Default;Default;Default;Default;Default;Default;Default
WeaponSwitchTime=3.0
UseWeapons=true
CharacterProfile=Long Strafer
SeeThroughWalls=true
NoDodging=false
NoAiming=true
[Character Profile]
Name=Ascended Tracking
MaxHealth=500.0
WeaponProfileNames=;Alcove_Tracking_Weapon;;;;;;
MinRespawnDelay=1.0
MaxRespawnDelay=5.0
StepUpHeight=75.0
CrouchHeightModifier=0.5
CrouchAnimationSpeed=2.0
CameraOffset=X=0.000 Y=0.000 Z=80.000
HeadshotOnly=false
DamageKnockbackFactor=4.0
MovementType=Base
MaxSpeed=1300.0
MaxCrouchSpeed=500.0
Acceleration=9000.0
AirAcceleration=16000.0
Friction=4.0
BrakingFrictionFactor=2.0
JumpVelocity=800.0
Gravity=3.0
AirControl=0.25
CanCrouch=false
CanPogoJump=false
CanCrouchInAir=true
CanJumpFromCrouch=false
EnemyBodyColor=X=0.771 Y=0.000 Z=0.000
EnemyHeadColor=X=1.000 Y=1.000 Z=1.000
TeamBodyColor=X=1.000 Y=0.888 Z=0.000
TeamHeadColor=X=1.000 Y=1.000 Z=1.000
BlockSelfDamage=false
InvinciblePlayer=false
InvincibleBots=false
BlockTeamDamage=false
AirJumpCount=0
AirJumpVelocity=0.0
MainBBType=Cylindrical
MainBBHeight=320.0
MainBBRadius=58.0
MainBBHasHead=false
MainBBHeadRadius=45.0
MainBBHeadOffset=0.0
MainBBHide=false
ProjBBType=Cylindrical
ProjBBHeight=230.0
ProjBBRadius=55.0
ProjBBHasHead=false
ProjBBHeadRadius=45.0
ProjBBHeadOffset=0.0
ProjBBHide=true
HasJetpack=false
JetpackActivationDelay=0.2
JetpackFullFuelTime=4.0
JetpackFuelIncPerSec=1.0
JetpackFuelRegensInAir=false
JetpackThrust=6000.0
JetpackMaxZVelocity=400.0
JetpackAirControlWithThrust=0.25
AbilityProfileNames=;;;
HideWeapon=false
AerialFriction=0.0
StrafeSpeedMult=1.0
BackSpeedMult=1.0
RespawnInvulnTime=0.0
BlockedSpawnRadius=0.0
BlockSpawnFOV=0.0
BlockSpawnDistance=0.0
RespawnAnimationDuration=0.5
AllowBufferedJumps=true
BounceOffWalls=false
LeanAngle=0.0
LeanDisplacement=0.0
AirJumpExtraControl=0.0
ForwardSpeedBias=1.0
HealthRegainedonkill=0.0
HealthRegenPerSec=0.0
HealthRegenDelay=0.0
JumpSpeedPenaltyDuration=0.0
JumpSpeedPenaltyPercent=0.0
ThirdPersonCamera=false
TPSArmLength=300.0
TPSOffset=X=0.000 Y=150.000 Z=150.000
BrakingDeceleration=2048.0
VerticalSpawnOffset=0.0
SpawnXOffset=0.0
SpawnYOffset=0.0
InvertBlockedSpawn=false
[Character Profile]
Name=Long Strafer
MaxHealth=500.0
WeaponProfileNames=;Alcove_Tracking_Weapon;;;;;;
MinRespawnDelay=1.0
MaxRespawnDelay=5.0
StepUpHeight=75.0
CrouchHeightModifier=0.5
CrouchAnimationSpeed=2.0
CameraOffset=X=0.000 Y=0.000 Z=80.000
HeadshotOnly=false
DamageKnockbackFactor=4.0
MovementType=Base
MaxSpeed=1300.0
MaxCrouchSpeed=500.0
Acceleration=9000.0
AirAcceleration=16000.0
Friction=4.0
BrakingFrictionFactor=2.0
JumpVelocity=800.0
Gravity=3.0
AirControl=0.25
CanCrouch=false
CanPogoJump=false
CanCrouchInAir=true
CanJumpFromCrouch=false
EnemyBodyColor=X=0.771 Y=0.000 Z=0.000
EnemyHeadColor=X=1.000 Y=1.000 Z=1.000
TeamBodyColor=X=1.000 Y=0.888 Z=0.000
TeamHeadColor=X=1.000 Y=1.000 Z=1.000
BlockSelfDamage=false
InvinciblePlayer=false
InvincibleBots=false
BlockTeamDamage=false
AirJumpCount=0
AirJumpVelocity=0.0
MainBBType=Cylindrical
MainBBHeight=320.0
MainBBRadius=58.0
MainBBHasHead=false
MainBBHeadRadius=45.0
MainBBHeadOffset=0.0
MainBBHide=false
ProjBBType=Cylindrical
ProjBBHeight=230.0
ProjBBRadius=55.0
ProjBBHasHead=false
ProjBBHeadRadius=45.0
ProjBBHeadOffset=0.0
ProjBBHide=true
HasJetpack=false
JetpackActivationDelay=0.2
JetpackFullFuelTime=4.0
JetpackFuelIncPerSec=1.0
JetpackFuelRegensInAir=false
JetpackThrust=6000.0
JetpackMaxZVelocity=400.0
JetpackAirControlWithThrust=0.25
AbilityProfileNames=;;;
HideWeapon=false
AerialFriction=0.0
StrafeSpeedMult=1.0
BackSpeedMult=1.0
RespawnInvulnTime=0.0
BlockedSpawnRadius=0.0
BlockSpawnFOV=0.0
BlockSpawnDistance=0.0
RespawnAnimationDuration=0.5
AllowBufferedJumps=true
BounceOffWalls=false
LeanAngle=0.0
LeanDisplacement=0.0
AirJumpExtraControl=0.0
ForwardSpeedBias=1.0
HealthRegainedonkill=0.0
HealthRegenPerSec=0.0
HealthRegenDelay=0.0
JumpSpeedPenaltyDuration=0.0
JumpSpeedPenaltyPercent=0.0
ThirdPersonCamera=false
TPSArmLength=300.0
TPSOffset=X=0.000 Y=150.000 Z=150.000
BrakingDeceleration=2048.0
VerticalSpawnOffset=0.0
SpawnXOffset=0.0
SpawnYOffset=0.0
InvertBlockedSpawn=false
[Dodge Profile]
Name=Long Strafes Jumping
MaxTargetDistance=2500.0
MinTargetDistance=750.0
ToggleLeftRight=true
ToggleForwardBack=false
MinLRTimeChange=0.5
MaxLRTimeChange=1.5
MinFBTimeChange=0.2
MaxFBTimeChange=0.5
DamageReactionChangesDirection=false
DamageReactionChanceToIgnore=0.5
DamageReactionMinimumDelay=0.125
DamageReactionMaximumDelay=0.25
DamageReactionCooldown=1.0
DamageReactionThreshold=0.0
DamageReactionResetTimer=0.1
JumpFrequency=0.7
CrouchInAirFrequency=0.0
CrouchOnGroundFrequency=0.0
TargetStrafeOverride=Ignore
TargetStrafeMinDelay=0.125
TargetStrafeMaxDelay=0.25
MinProfileChangeTime=0.0
MaxProfileChangeTime=0.0
MinCrouchTime=0.3
MaxCrouchTime=0.6
MinJumpTime=0.2
MaxJumpTime=0.5
LeftStrafeTimeMult=1.0
RightStrafeTimeMult=1.0
StrafeSwapMinPause=0.0
StrafeSwapMaxPause=0.0
BlockedMovementPercent=0.5
BlockedMovementReactionMin=0.125
BlockedMovementReactionMax=0.2
[Dodge Profile]
Name=ADAD
MaxTargetDistance=5000.0
MinTargetDistance=2500.0
ToggleLeftRight=true
ToggleForwardBack=false
MinLRTimeChange=1.0
MaxLRTimeChange=1.0
MinFBTimeChange=0.2
MaxFBTimeChange=0.5
DamageReactionChangesDirection=false
DamageReactionChanceToIgnore=0.5
DamageReactionMinimumDelay=0.125
DamageReactionMaximumDelay=0.25
DamageReactionCooldown=1.0
DamageReactionThreshold=0.0
DamageReactionResetTimer=0.1
JumpFrequency=0.0
CrouchInAirFrequency=0.0
CrouchOnGroundFrequency=0.0
TargetStrafeOverride=Ignore
TargetStrafeMinDelay=0.125
TargetStrafeMaxDelay=0.16
MinProfileChangeTime=0.0
MaxProfileChangeTime=0.0
MinCrouchTime=0.1
MaxCrouchTime=0.1
MinJumpTime=0.3
MaxJumpTime=0.6
LeftStrafeTimeMult=1.0
RightStrafeTimeMult=3.0
StrafeSwapMinPause=0.0
StrafeSwapMaxPause=0.0
BlockedMovementPercent=1.0
BlockedMovementReactionMin=0.1
BlockedMovementReactionMax=0.6
[Dodge Profile]
Name=Circle Strafe
MaxTargetDistance=2500.0
MinTargetDistance=750.0
ToggleLeftRight=true
ToggleForwardBack=false
MinLRTimeChange=0.5
MaxLRTimeChange=1.5
MinFBTimeChange=0.2
MaxFBTimeChange=0.5
DamageReactionChangesDirection=true
DamageReactionChanceToIgnore=0.5
DamageReactionMinimumDelay=0.125
DamageReactionMaximumDelay=0.25
DamageReactionCooldown=1.0
DamageReactionThreshold=50.0
DamageReactionResetTimer=0.5
JumpFrequency=0.0
CrouchInAirFrequency=0.0
CrouchOnGroundFrequency=0.0
TargetStrafeOverride=Oppose
TargetStrafeMinDelay=0.125
TargetStrafeMaxDelay=0.25
MinProfileChangeTime=0.0
MaxProfileChangeTime=0.0
MinCrouchTime=0.3
MaxCrouchTime=0.6
MinJumpTime=0.3
MaxJumpTime=0.6
LeftStrafeTimeMult=1.0
RightStrafeTimeMult=1.0
StrafeSwapMinPause=0.0
StrafeSwapMaxPause=0.0
BlockedMovementPercent=0.5
BlockedMovementReactionMin=0.125
BlockedMovementReactionMax=0.2
[Dodge Profile]
Name=MidStrafes
MaxTargetDistance=2500.0
MinTargetDistance=750.0
ToggleLeftRight=true
ToggleForwardBack=false
MinLRTimeChange=0.32
MaxLRTimeChange=0.35
MinFBTimeChange=0.25
MaxFBTimeChange=0.6
DamageReactionChangesDirection=true
DamageReactionChanceToIgnore=0.2
DamageReactionMinimumDelay=0.13
DamageReactionMaximumDelay=0.16
DamageReactionCooldown=1.0
DamageReactionThreshold=0.0
DamageReactionResetTimer=0.2
JumpFrequency=0.0
CrouchInAirFrequency=0.0
CrouchOnGroundFrequency=0.0
TargetStrafeOverride=Oppose
TargetStrafeMinDelay=0.13
TargetStrafeMaxDelay=0.18
MinProfileChangeTime=0.0
MaxProfileChangeTime=0.0
MinCrouchTime=0.1
MaxCrouchTime=0.1
MinJumpTime=0.0
MaxJumpTime=0.0
LeftStrafeTimeMult=0.9
RightStrafeTimeMult=1.0
StrafeSwapMinPause=0.0
StrafeSwapMaxPause=0.0
BlockedMovementPercent=0.5
BlockedMovementReactionMin=0.125
BlockedMovementReactionMax=0.2
[Weapon Profile]
Name=Alcove_Tracking_Weapon
Type=Hitscan
ShotsPerClick=10
DamagePerShot=0.5
KnockbackFactor=0.0
TimeBetweenShots=0.02
Pierces=false
Category=FullyAuto
BurstShotCount=1
TimeBetweenBursts=0.5
ChargeStartDamage=10.0
ChargeStartVelocity=X=500.000 Y=0.000 Z=0.000
ChargeTimeToAutoRelease=2.0
ChargeTimeToCap=1.0
ChargeMoveSpeedModifier=1.0
MuzzleVelocityMin=X=2000.000 Y=0.000 Z=0.000
MuzzleVelocityMax=X=2000.000 Y=0.000 Z=0.000
InheritOwnerVelocity=0.0
OriginOffset=X=0.000 Y=0.000 Z=0.000
MaxTravelTime=5.0
MaxHitscanRange=250000.0
GravityScale=1.0
HeadshotCapable=false
HeadshotMultiplier=0.1
MagazineMax=0
AmmoPerShot=1
ReloadTimeFromEmpty=0.5
ReloadTimeFromPartial=0.5
DamageFalloffStartDistance=100000.0
DamageFalloffStopDistance=100000.0
DamageAtMaxRange=10.0
DelayBeforeShot=0.0
HitscanVisualEffect=None
ProjectileGraphic=Ball
VisualLifetime=0.0001
WallParticleEffect=None
HitParticleEffect=None
BounceOffWorld=false
BounceFactor=0.5
BounceCount=0
HomingProjectileAcceleration=0.0
ProjectileEnemyHitRadius=1.0
CanAimDownSight=false
ADSZoomDelay=0.0
ADSZoomSensFactor=0.7
ADSMoveFactor=1.0
ADSStartDelay=0.0
ShootSoundCooldown=0.05
HitSoundCooldown=0.05
HitscanVisualOffset=X=0.000 Y=0.000 Z=-50.000
ADSBlocksShooting=false
ShootingBlocksADS=false
KnockbackFactorAir=0.0
RecoilNegatable=false
DecalType=0
DecalSize=4.0
DelayAfterShooting=0.0
BeamTracksCrosshair=false
AlsoShoot=Alcove Tracking Effect Helper
ADSShoot=
StunDuration=0.0
CircularSpread=false
SpreadStationaryVelocity=300.0
PassiveCharging=false
BurstFullyAuto=true
FlatKnockbackHorizontal=0.0
FlatKnockbackVertical=0.0
HitscanRadius=0.01
HitscanVisualRadius=0.04
TaggingDuration=0.0
TaggingMaxFactor=1.0
TaggingHitFactor=1.0
ProjectileTrail=None
RecoilCrouchScale=1.0
RecoilADSScale=1.0
PSRCrouchScale=1.0
PSRADSScale=1.0
ProjectileAcceleration=0.0
AccelIncludeVertical=false
AimPunchAmount=0.0
AimPunchResetTime=0.2
AimPunchCooldown=0.5
AimPunchHeadshotOnly=false
AimPunchCosmeticOnly=false
MinimumDecelVelocity=0.0
PSRManualNegation=false
PSRAutoReset=true
AimPunchUpTime=0.05
AmmoReloadedOnKill=1
CancelReloadOnKill=false
FlatKnockbackHorizontalMin=0.0
FlatKnockbackVerticalMin=0.0
ADSScope=No Scope
ADSFOVOverride=103.0
ADSFOVScale=Clamped Horizontal
ADSAllowUserOverrideFOV=false
IsBurstWeapon=false
ForceFirstPersonInADS=true
ZoomBlockedInAir=false
ADSCameraOffsetX=0.0
ADSCameraOffsetY=0.0
ADSCameraOffsetZ=0.0
QuickSwitchTime=0.1
Explosive=false
Radius=500.0
DamageAtCenter=100.0
DamageAtEdge=100.0
SelfDamageMultiplier=0.5
ExplodesOnContactWithEnemy=false
DelayAfterEnemyContact=0.0
ExplodesOnContactWithWorld=false
DelayAfterWorldContact=0.0
ExplodesOnNextAttack=false
DelayAfterSpawn=0.0
BlockedByWorld=false
SpreadSSA=1.0,1.0,-1.0,5.0
SpreadSCA=1.0,1.0,-1.0,5.0
SpreadMSA=1.0,1.0,-1.0,5.0
SpreadMCA=1.0,1.0,-1.0,5.0
SpreadSSH=1.0,1.0,-1.0,0.0
SpreadSCH=1.0,1.0,-1.0,5.0
SpreadMSH=1.0,1.0,-1.0,0.0
SpreadMCH=1.0,1.0,-1.0,5.0
MaxRecoilUp=0.0
MinRecoilUp=0.0
MinRecoilHoriz=0.0
MaxRecoilHoriz=0.0
FirstShotRecoilMult=1.0
RecoilAutoReset=false
TimeToRecoilPeak=0.05
TimeToRecoilReset=0.35
AAMode=0
AAPreferClosestPlayer=false
AAAlpha=0.05
AAMaxSpeed=1.0
AADeadZone=0.0
AAFOV=30.0
AANeedsLOS=true
TrackHorizontal=true
TrackVertical=true
AABlocksMouse=false
AAOffTimer=0.0
AABackOnTimer=0.0
TriggerBotEnabled=false
TriggerBotDelay=0.0
TriggerBotFOV=1.0
StickyLock=false
HeadLock=false
VerticalOffset=0.0
DisableLockOnKill=false
UsePerShotRecoil=false
PSRLoopStartIndex=0
PSRViewRecoilTracking=0.45
PSRCapUp=9.0
PSRCapRight=4.0
PSRCapLeft=4.0
PSRTimeToPeak=0.175
PSRResetDegreesPerSec=40.0
UsePerBulletSpread=true
PBS0=0.0,0.0
PBS1=0.0,0.0
PBS2=0.5,45.0
PBS3=0.5,90.0
PBS4=0.5,135.0
PBS5=0.5,180.0
PBS6=0.5,225.0
PBS7=0.5,270.0
PBS8=0.5,315.0
PBS9=0.5,0.0
[Weapon Profile]
Name=Alcove Tracking Effect Helper
Type=Projectile
ShotsPerClick=1
DamagePerShot=0.0
KnockbackFactor=0.0
TimeBetweenShots=0.12
Pierces=false
Category=FullyAuto
BurstShotCount=1
TimeBetweenBursts=0.5
ChargeStartDamage=10.0
ChargeStartVelocity=X=500.000 Y=0.000 Z=0.000
ChargeTimeToAutoRelease=2.0
ChargeTimeToCap=1.0
ChargeMoveSpeedModifier=1.0
MuzzleVelocityMin=X=100000.000 Y=-1000.000 Z=-1000.000
MuzzleVelocityMax=X=100000.000 Y=1000.000 Z=1000.000
InheritOwnerVelocity=1.0
OriginOffset=X=0.000 Y=0.000 Z=0.000
MaxTravelTime=0.025
MaxHitscanRange=100000.0
GravityScale=0.0
HeadshotCapable=false
HeadshotMultiplier=0.1
MagazineMax=0
AmmoPerShot=1
ReloadTimeFromEmpty=0.5
ReloadTimeFromPartial=0.5
DamageFalloffStartDistance=100000.0
DamageFalloffStopDistance=100000.0
DamageAtMaxRange=0.0
DelayBeforeShot=0.0
HitscanVisualEffect=Tracer
ProjectileGraphic=Ball
VisualLifetime=0.1
WallParticleEffect=None
HitParticleEffect=None
BounceOffWorld=false
BounceFactor=0.5
BounceCount=0
HomingProjectileAcceleration=0.0
ProjectileEnemyHitRadius=0.1
CanAimDownSight=false
ADSZoomDelay=0.0
ADSZoomSensFactor=0.7
ADSMoveFactor=1.0
ADSStartDelay=0.0
ShootSoundCooldown=999.0
HitSoundCooldown=999.0
HitscanVisualOffset=X=0.000 Y=0.000 Z=-50.000
ADSBlocksShooting=false
ShootingBlocksADS=false
KnockbackFactorAir=0.0
RecoilNegatable=false
DecalType=0
DecalSize=15.0
DelayAfterShooting=0.0
BeamTracksCrosshair=false
AlsoShoot=
ADSShoot=
StunDuration=0.0
CircularSpread=true
SpreadStationaryVelocity=300.0
PassiveCharging=false
BurstFullyAuto=true
FlatKnockbackHorizontal=0.0
FlatKnockbackVertical=0.0
HitscanRadius=0.0
HitscanVisualRadius=2.0
TaggingDuration=0.0
TaggingMaxFactor=1.0
TaggingHitFactor=1.0
ProjectileTrail=None
RecoilCrouchScale=1.0
RecoilADSScale=1.0
PSRCrouchScale=1.0
PSRADSScale=1.0
ProjectileAcceleration=0.0
AccelIncludeVertical=false
AimPunchAmount=0.0
AimPunchResetTime=0.2
AimPunchCooldown=0.5
AimPunchHeadshotOnly=false
AimPunchCosmeticOnly=false
MinimumDecelVelocity=0.0
PSRManualNegation=false
PSRAutoReset=true
AimPunchUpTime=0.05
AmmoReloadedOnKill=1
CancelReloadOnKill=false
FlatKnockbackHorizontalMin=0.0
FlatKnockbackVerticalMin=0.0
ADSScope=No Scope
ADSFOVOverride=103.0
ADSFOVScale=Clamped Horizontal
ADSAllowUserOverrideFOV=false
IsBurstWeapon=false
ForceFirstPersonInADS=true
ZoomBlockedInAir=false
ADSCameraOffsetX=0.0
ADSCameraOffsetY=0.0
ADSCameraOffsetZ=0.0
QuickSwitchTime=0.0
Explosive=false
Radius=500.0
DamageAtCenter=100.0
DamageAtEdge=100.0
SelfDamageMultiplier=0.5
ExplodesOnContactWithEnemy=false
DelayAfterEnemyContact=0.0
ExplodesOnContactWithWorld=false
DelayAfterWorldContact=0.0
ExplodesOnNextAttack=false
DelayAfterSpawn=0.0
BlockedByWorld=false
SpreadSSA=1.0,1.0,-1.0,5.0
SpreadSCA=1.0,1.0,-1.0,5.0
SpreadMSA=1.0,1.0,-1.0,5.0
SpreadMCA=1.0,1.0,-1.0,5.0
SpreadSSH=4.0,0.5,2.0,8.0
SpreadSCH=1.0,1.0,-1.0,5.0
SpreadMSH=4.0,0.5,2.0,8.0
SpreadMCH=1.0,1.0,-1.0,5.0
MaxRecoilUp=0.0
MinRecoilUp=0.0
MinRecoilHoriz=0.0
MaxRecoilHoriz=0.0
FirstShotRecoilMult=1.0
RecoilAutoReset=false
TimeToRecoilPeak=0.05
TimeToRecoilReset=0.35
AAMode=0
AAPreferClosestPlayer=false
AAAlpha=0.05
AAMaxSpeed=1.0
AADeadZone=0.0
AAFOV=30.0
AANeedsLOS=true
TrackHorizontal=true
TrackVertical=true
AABlocksMouse=false
AAOffTimer=0.0
AABackOnTimer=0.0
TriggerBotEnabled=false
TriggerBotDelay=0.0
TriggerBotFOV=1.0
StickyLock=false
HeadLock=false
VerticalOffset=0.0
DisableLockOnKill=false
UsePerShotRecoil=false
PSRLoopStartIndex=0
PSRViewRecoilTracking=0.45
PSRCapUp=9.0
PSRCapRight=4.0
PSRCapLeft=4.0
PSRTimeToPeak=0.175
PSRResetDegreesPerSec=40.0
UsePerBulletSpread=false
PBS0=0.0,0.0
[Map Data]
reflex map version 8
prefab targetbox
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|
c351ecae8c855fa0e7560764c5d32e934c66eec0
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1970/CH1/EX1.8/Ch01Exa8.sce
|
e60fe59b99ca03141785cbc8b444e7b968a1e09d
|
[] |
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
| 414
|
sce
|
Ch01Exa8.sce
|
// Scilab code Exa1.8 : : Page 53 (2011)
clc; clear;
a = 17.78e-03; // First doublet mass difference, u
b = 72.97e-03; // Second doublet mass difference, u
c = 87.33e-03; // Third doublet mass difference, u
M_H = 1+1/32*(4*a+5*b-2*c); // Mass of the hydrogen,amu
printf("\nMass of the hydrogen: %8.6f amu",M_H);
// Result
// Mass of the hydrogen: 1.008166 amu
|
5dd08b3fc641640fd9b430768c26e0e06f596d45
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2774/CH7/EX7.2/Ex7_2.sce
|
774415e641db852289fe316f08495f453ed02945
|
[] |
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
| 840
|
sce
|
Ex7_2.sce
|
clc
//solution
// initialization of variables
r=10 // compression ratio
k=1.4 // polytropic index for air
R=0.287 // specific gas constant for air
Cv=0.717 // specific heat at constant volume
Wnet=1000 // net work output in kJ/kg
T1=227+273 // low air temperaure in kelvin
p1=200 // low pressure in kPa
effi=1-(1/r^(k-1)) // thermal efficeiency
printf("The maximum possible thermal efficiency is %0.1f %% \n",effi*100)
T2=T1*(r)^(k-1) // isentropic process temperature relation
T4=((Wnet/Cv)+T2-T1)/((r^(k-1))-1) // using expression for work
T3=T4*(r)^(k-1)
efficarnot=1-T1/T3
printf("The carnot efficiency is %0.1f %%",efficarnot*100)
v1=R*T1/p1 // initial volume
v2=v1/r // from compression ratio
MEP=Wnet/(v1-v2) // mean effective pressure equation
printf("The MEP is %0.0f kPa",MEP)
|
4512342f57565bdd9ab021b607aadf595a67c90a
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1055/CH14/EX14.9/ch14_9.sce
|
c9b6129485b6cfe58a0753c5ecf7b3ad5a926745
|
[] |
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
| 385
|
sce
|
ch14_9.sce
|
//To determine the R1, R2 and C. also The potential across relays
clear
clc;
Vs=110;
I=1;
R2=Vs/((3-%i*sqrt(3))*I);
c=abs(R2);
mprintf("R2=%.2f ohms\n",c);
R1=2*c;
d=abs(R1);
C=(10^6)/(.866*d*314);
mprintf("R1=%.2f ohms\n",R1);
mprintf("C=%.1f micro farads\n",C);
Vt=d*(-.5 - %i*.866) + (c - %i*55 );
disp(Vt," Voltage across the terminals of the relay will be (V)=");
|
68215f191bf91969da391b2297c75969275c2ca2
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1634/CH1/EX1.1.4/example1_1_4.sce
|
39fb743989731b00c2aa6325321e51b2bcf12f37
|
[] |
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
| 399
|
sce
|
example1_1_4.sce
|
//exapple 1.1.4
clc; funcprot(0);
// Initialization of Variable
a=-40;//longitude of A
b=150;//longitude of B
dol=b-a;//difference of longitude
if dol>180 then
dol=360-dol;
disp("difference of longitude is");
a=modulo(dol*3600,60);
printf("seconds %.2f",a);
b=modulo(dol*3600-a,3600)/60;
printf(" minutes %i",b);
c=(dol*3600-b*60-a)/3600;
printf(" degrees %i",c);
end
|
1b457cccefb3a62f8043135b3a988369f0b88f01
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/48/CH4/EX4.4/eg_4_4.sce
|
72151f2aabb63fdeb7e5b7fd65545dc2da0efe7d
|
[] |
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
| 1,093
|
sce
|
eg_4_4.sce
|
clc;
n=10;
//coverting decimal numbers into excess 3 values
for i=0:n-1
c(i+1,1)=dec21bin(i+3);
end
a=c;
b=zeros(10,4);
//placing excess 3 outputs in matrix for convenience
for i=1:n
j=4;
while(a(i,1)>=1)
b(i,j)=round(modulo(a(i,1),10));
a(i,1)=a(i,1)/10;
j=j-1;
end
end
//dont care is represented by a 2 since scilab doesnt allow a matrix to contain string and a number.
for i=n+1:16
b(i,:)=[2 2 2 2];
end
//map of each output variable
z=[b(1,1) b(5,1) b(13,1) b(9,1);b(2,1) b(6,1) b(14,1) b(10,1);
b(3,1) b(7,1) b(15,1) b(11,1);b(4,1) b(8,1) b(16,1) b(12,1)];
y=[b(1,2) b(5,2) b(13,2) b(9,2);b(2,2) b(6,2) b(14,2) b(10,2);
b(3,2) b(7,2) b(15,2) b(11,2);b(4,2) b(8,2) b(16,2) b(12,2)];
w=[b(1,3) b(5,3) b(13,3) b(9,3);b(2,3) b(6,3) b(14,3) b(10,3);
b(3,3) b(7,3) b(15,3) b(11,3);b(4,3) b(8,3) b(16,3) b(12,3)];
x=[b(1,4) b(5,4) b(13,4) b(9,4);b(2,4) b(6,4) b(14,4) b(10,4);
b(3,4) b(7,4) b(15,4) b(11,4);b(4,4) b(8,4) b(16,4) b(12,4)];
donkmap(w,1);
donkmap(x,2);
donkmap(y,3);
donkmap(z,4);
|
23058511fb9114c996806c54c350e58bbba3e945
|
8217f7986187902617ad1bf89cb789618a90dd0a
|
/browsable_source/2.5/Unix-Windows/scilab-2.5/tests/examples/union.man.tst
|
5fcf953f19fc9e0fbeb6dffafa1dac767c5bee6a
|
[
"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
| 131
|
tst
|
union.man.tst
|
clear;lines(0);
A=round(5*rand(10,1));
B=round(5*rand(7,1));
union(A,B)
[N,ka,kb]=union(A,B)
union('a'+string(A),'b'+string(B))
|
1a1f8341cc71b45bac9a4f1625a65707bc6e7bd9
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1583/CH5/EX5.2/HFAAGC_Ex_5_2.sce
|
2fce741259706c907b7a11ef6340089e53c2db8f
|
[] |
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
| 260
|
sce
|
HFAAGC_Ex_5_2.sce
|
clc
//Chapter 5:High Frequency Amplifiers and Automatic Gain Control
//example 5.2 page no 148
//given
wT=3*10^8//gain bandwidth product
w=10*10^6//given frequency
Ai=wT/w//short circuit current gain
mprintf('the short circuit current gain is %d ',Ai)
|
93ba41455d75468696f221cb7a9a301149a9ea84
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1862/CH24/EX24.9/C24P9.sce
|
894ed561f2dc9b214c1f2f67745059cb79dc5511
|
[] |
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
| 718
|
sce
|
C24P9.sce
|
clear
clc
//to find number of independent ways
//to find number of microstates
//Given:
//number of molecules
N = 200//in molecules
//half number of molecules
N1 = 100//in molecules
//for 150 molecules in one box and 50 molecules in one box
n1 = 150
n2 = 50
//Solution:
//number of independent ways
w = factorial(N)/((factorial(N1))*(factorial(N1)))
//number of microstates
W = factorial(N)/((factorial(n1))*(factorial(n2)))
//answer is Nan.Because function factorial in scilab overflows as soon as N > 170 as here numerator is N = 200 and answer of denominator is infinity
printf ("\n\n Number of independent ways w = \n\n %.2e" ,w);
printf ("\n\n Number of microstates W = \n\n %.2e" ,W);
|
fcf716e98553e202263b951b57967e68ddaefcf2
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1787/CH4/EX4.8/Exa4_8.sce
|
cda8ed73338784277c4583843e204f9e98d7f8f9
|
[] |
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
| 234
|
sce
|
Exa4_8.sce
|
//Exa4.8
clc;
clear;
close;
//given data
T=300;//in Kelvin
ND=8*10^14;//in cm^-3
NA=8*10^14;//in cm^-3
ni=2*10^13;//in cm^-3
k=8.61*10^-5;//in eV/K
Vo=k*T*log(NA*ND/ni^2);//in Volts
disp(Vo,"Contact potential in volts : ");
|
2943401b6f9ddc314ec35add49d7d182c8b5a53b
|
777ac7fa75f240739af167655f7fab95cba80ef6
|
/docs/Basics.New/Scale.tst
|
75df56f848c8d81f734928f2a0c383bfd1c30321
|
[] |
no_license
|
Karabur/TML-project
|
8d498d8133f4b1ea8e8c3fe6f6f47f7ab5de4b5c
|
0bfe006b0e66628427b769bc1be903875e77d5b7
|
refs/heads/master
| 2021-01-02T09:20:39.055827
| 2013-12-28T22:02:15
| 2013-12-28T22:02:15
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 609
|
tst
|
Scale.tst
|
Title:
TestName: Проверка примитива Scale;
Difficulty: A1;
FullTime: 0;
Questions: 1;
EndTitle.
StartTest:
Question: 1;
Weight: 1;
BeginText:
При правильном функционировании системы
на экране находится шкала с ползунком.
результат теста будет равен отложенной на шкале позиции.
на шкале 10 делений
Исходная позиция шкалы - 3
EndText;
Scale:
AtX: 8;
AtY: 8;
Width: 200;
Height: 30;
Items: 10;
Position: 3;
EndScale;
Ask;
EndTest.
|
5aeaf83145f3ed9821d30793f29260c8181ec7ad
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2417/CH8/EX8.6/Ex8_6.sce
|
679e022943d4e6c886cf9a2e46638e9cd4abb4c3
|
[] |
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
| 903
|
sce
|
Ex8_6.sce
|
//scilab 5.4.1
clear;
clc;
printf("\t\t\tProblem Number 8.6\n\n\n");
// Chapter 8 : Vapor Power Cycles
// Problem 8.6 (page no. 385)
// Solution
//For the upper temperature of the cycle,we have 400C,and for 50kPa,the steam tables give us a saturation temperature of 81.33C.The efficiency of a Carnot cycle operating between the limits would be
T1=400+273; //Celcius temperature converted to fahrenheit temperature
T2=81.33+273; //temperature converted to fahrenheit temperature
nc=((T1-T2)/T1)*100; //Efficiency of carnot cycle
printf("The efficiency is %f percentage\n",nc);
//In problem 8.1,
nR=28.5; //Thermal efficiency of the cycle neglecting the pump work
typen=(nR/nc)*100; //Type efficiency=ideal thermal efficiency/efficiency of carnot cycle operating between min and max temperature limits
printf("The type efficiency of the ideal Rankine cycle is %f percentage\n",typen);
|
faa72bb9e7cba70c71d3a1ff01b2cb148d156596
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/629/CH11/EX11.7/example11_7.sce
|
781e79bdfcaa4a77bb38dc9882e361e713b8143e
|
[] |
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
| 529
|
sce
|
example11_7.sce
|
clear
clc
//Example 11.7 WING AREA FOR AN AIRPLANE
T=-67+460; //temperature [°R]
R=1716; //[ft.lbf/slug.°R]
//1ft^2=144in^2
p=3.3*144; //pressure[lbf/ft^2]
rho=p/(R*T) //[slug/ft^3]
CL=0.2;
Vo=600; //[ft/s]
W=10000; //weight [lbf]
//for steady flight,
FL=W
//Wing area
S=2*W/(rho*Vo^2*CL) //[ft^2]
b=54; //span of wing [ft]
CDi=CL^2/(%pi*(b^2/S)) //min.induced drag coefficient
//Induced drag
Di=(rho*Vo^2*CDi*S)/2 //[lbf]
printf("\nThe wing area = %.f ft^2 and the minimum induced drag = %.1f lbf.\n",S,Di)
|
2a75422ec2435ed452b8fe7ddc1a3952cbccf3e7
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1052/CH26/EX26.9/269.sce
|
d0f4d0764e69a66291d6f2e6407f6d2c2792f0f8
|
[] |
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
| 571
|
sce
|
269.sce
|
clc;
//Example 26.9
//page no 394
printf("Example 26.9 page no 394\n\n");
//turbulent flow of water through a carbon bed
d_p=0.001//particle diameter
meu=0.001//viscosity of water
e=0.25//porosity
R_e=1000//R_e is >1000 for turbulent flow,for minimum pressure drop
rho=1000//density of water,kg/m^3
v_s=R_e*meu*(1-e)/(d_p*rho)//superficial velocity
printf("\n superficial velocity v_s=%f m/s",v_s);
phi_s=1//spehercity
L=0.5//length of bed,m
P_drop = 1.75*rho*L*v_s^2*(1-e)/(phi_s*d_p*(e^3))//presssure drop
printf("\npressure drop P_drop=%f Pa",P_drop);
|
5a1312d65e6342645e6ee45ae86e0a041a4ed940
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/858/CH8/EX8.6/example_6.sce
|
6eb51c96a32100ced6f59e37d48604d78c2a8b6a
|
[] |
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
| 630
|
sce
|
example_6.sce
|
clc
clear
printf("example 8.6 page number 342\n\n")
//to find the viscosity of solution using given parameters
diameter =10; //in mm
density_of_solution = 1750; //in kg/m3
density_of_air = 1.2; //in kg/m3
velocity = 0.9; //in mm/s
viscosity = (density_of_solution-density_of_air)*9.8*(diameter*10^-3)^2/(18*velocity*10^-3); //expression for finding viscosity
printf("viscosity of solution = %f Pa-s",viscosity)
//checking stoke's region validity
v=(0.2*viscosity)/(density_of_solution*diameter*10^-3);
if v>0.9 then printf("\n\nsystem follows stokes law")
end
|
d78e219ed4a41604a772b97289d20254865863fd
|
458def2f7b4bd44cdf75f29a4c0cabed2e6ca516
|
/GradesSDL.sce
|
0e1b66b53a193a111b28e8f92ad0cd83f12d5b4a
|
[] |
no_license
|
SoanKim/Presentation_Software
|
1a03bfc9e22bd2a874c5787ca89faa0947c09e67
|
382c84878496fce1e790386a4ff6c03741eb4974
|
refs/heads/master
| 2022-12-09T03:50:22.916992
| 2020-09-10T10:55:45
| 2020-09-10T10:55:45
| 294,382,441
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 159
|
sce
|
GradesSDL.sce
|
#SDL:
scenario = "Grades";
pcl_file = "GradesPCL.pcl";
begin;
picture {
text { caption = "grades on screen";} t_Grades; x= 0; y = 0;
}p_Grades;
|
3ec062ed29b99804cb20fc2815747debf12ab62d
|
843ddfc1f1137ace0ddbffdc051fb2b2a3e2ba6b
|
/P2/P204.sce
|
8dbad1670e72045389236e4ac038ab395640acbd
|
[] |
no_license
|
aguadix/SIMCON
|
8169169577fc5e69257f6dc91558b7b320974161
|
5f83003937740a730c4593c241309c9da7693ddf
|
refs/heads/master
| 2022-10-27T00:34:29.074871
| 2022-10-24T11:24:08
| 2022-10-24T11:24:08
| 53,549,792
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 806
|
sce
|
P204.sce
|
clear; clc;
// P204.sce
s = syslin('c',%s,1);
K = 1; T1 = 5; T2 = 1; // Sistema de segundo orden sobreamortiguado
G = K/((T1*s+1)*(T2*s+1)) // Función de transferencia
polos = roots(G.den)
scf(1); clf(1);
plzr(G); // Gráfico de polos
xtitle('','','');
a1 = gca;
a1.x_location = 'origin';
a1.y_location = 'origin';
a1.data_bounds = [-2,-2;2,2];
a1.isoview = 'on';
a1.box = 'off';
dt = 0.01; tfin = 30; t = 0:dt:tfin; // Tiempo
u = 'step'; // Entrada
y = csim(u,t,G); // Respuesta tempora
scf(2); clf(2);
plot(t,y); // Respuesta temporal
xgrid; xtitle('Sistema de segundo orden sobreamortiguado - Respuesta a escalón', 't', 'y');
// Punto de inflexión
dydt = diff(y)/dt;
[dydtmax,indexI] = max(dydt)
tI = t(indexI)
tIt = log(T1/T2)/(1/T2-1/T1) // Teórico
yI = y(indexI)
plot(tI,yI,'ro');
|
cd79bf9823141577cbd909b1a0b6084bff58899f
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2198/CH1/EX1.40.5/Ex1_40_5.sce
|
3e8f5b84fa01f60c8e035ef4a4db3611bd2cd37f
|
[] |
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
| 305
|
sce
|
Ex1_40_5.sce
|
//Ex 1.40.5
clc;clear;close;
format('v',9);
//Given :
K=1.38*10^-23;//J/K
T=27+273;//K
e=1.6*10^-19;//constant
del_no=10^20;//per.m^3
tau_n=10^-7;//s
mu_n=0.15;//m^2/V-s
Dn=K*T/e*mu_n;//m^2/s
Ln=sqrt(Dn*tau_n);//m
Jn=e*Dn*del_no/Ln;//A/m^2
disp(Jn,"Diffusion current density(A/m^2) : ");
|
28078739b94f8aa386a5d6d9860baae7a9cc5f0b
|
86ae7e24466d959da945d5b6d8ab93354a9e8a1d
|
/T6_eg_while.sce
|
8934b6740ecfbcc648139a5daf8b0ca812ad7daf
|
[] |
no_license
|
AnujaNagare/Scilab-Programs
|
be27fdeb0db8cfa4b00ac5121676b18412b8a222
|
4152eac1a3e87ec7408fb3dfea55cac984cca2d9
|
refs/heads/master
| 2021-08-30T16:53:33.876536
| 2017-12-18T19:11:47
| 2017-12-18T19:11:47
| 114,677,855
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 149
|
sce
|
T6_eg_while.sce
|
clc;
clear;
a=input('enter a value: ');
b=a;
f=1;
while (a~=0)
f=f*a;
a=a-1;
end
printf('\nfactorial of %d is %d\n',b,f)
|
e52153c7832fd5c559ef25288211f9d86e78c670
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1820/CH14/EX6.C/ExampleC_6.sce
|
f19dfad329256b4c7d51a3f342ec1a56aa086797
|
[] |
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
| 1,318
|
sce
|
ExampleC_6.sce
|
// ELECTRIC POWER TRANSMISSION SYSTEM ENGINEERING ANALYSIS AND DESIGN
// TURAN GONEN
// CRC PRESS
// SECOND EDITION
// APPENDIX C : REVIEW OF BASICS
// EXAMPLE : C.6 :
clear ; clc ; close ; // Clear the work space and console
// GIVEN DATA
D_ab = 6.8 ; // distance b/w conductors center-to-center in ft
D_bc = 5.5 ; // distance b/w conductors center-to-center in ft
D_ca = 4 ; // distance b/w conductors center-to-center in ft
l = 100 ; // Line length in miles
// CALCULATIONS
// For case (a)
D_m = (D_ab * D_bc * D_ca)^(1/3) ; // Equi spacing for pole top in ft
r = 0.522/(2 * 12) ; // feet
X_C = 0.06836 * log10 (D_m/r) ; // Shunt capacitive reactance in MΩ*mi
// For case (b)
X_a = 0.1136 ; // Shunt capacitive reactance in MΩ*mi , From table A.1
X_d = 0.049543 ; // Shunt capacitive reactance spacing factor in MΩ*mi , From table A.9
X_C1 = X_a + X_d ; // Shunt capacitive reactance in MΩ*mi
X_C2 = X_C1/l ; // Capacitive reactance of 100 mi line in MΩ
// DISPLAY RESULTS
disp("EXAMPLE : C.6 : SOLUTION :-") ;
printf("\n (a) Shunt capacitive reactance using equation C.156 , X_C = %.6f MΩ*mi \n",X_C) ;
printf("\n (b) Shunt capacitive reactance using tables , X_C = %.6f MΩ*mi \n",X_C1) ;
printf("\n (c) Capacitive reactance of total line , X_C = %.5e MΩ \n",X_C2) ;
|
726debf20769c93c581072f6b9f5e3f9136ae580
|
25b5cbd88b9b1c4dd4c6918be2a988027dee667e
|
/doc/scripts/unicycle/rootlocus.sce
|
24283118111c978b540b61ccea8789c45a2a3658
|
[] |
no_license
|
nkigen/nxtLEGO
|
d592720aabdd4da83f3463719135e4e6072aa6dd
|
7ce91955744756bfeb32b4b619b80cc26e83afef
|
refs/heads/master
| 2020-05-20T03:22:49.327962
| 2015-03-01T17:35:27
| 2015-03-01T17:35:27
| 17,963,092
| 0
| 0
| null | 2014-07-17T18:41:48
| 2014-03-21T00:17:33
|
C
|
UTF-8
|
Scilab
| false
| false
| 173
|
sce
|
rootlocus.sce
|
s = %s;
global uniC;
global uniKc;
global uniG;
//plant
uniG = v/s^2;
//controller
uniKc = 4.1;
uniC = (s+0.1)/(s+2.1);
//clf();
//evans(uniG*uniC, uniKc);
//rlocus();
|
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