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0ce68f1b4a4867252065e771a43fe104151390a3 | 0faf35c2b18c2749af88113bb02c4a12c7a5b00b | /Image Enhancement By Histogram Manipulation.sce | f7eb169d9ab8a323a7b0c4e1be0983bef0bfb5bc | [] | no_license | NamitNaik/Image-Enhancement-By-Histogram-Manipulation | fa652b6672a1ce4f0619e4ef7875c5f156f64112 | 5e1e02e13cf9189a03184ac382581903f420e388 | refs/heads/master | 2023-02-02T01:26:50.039836 | 2020-12-16T15:02:30 | 2020-12-16T15:02:30 | 277,140,281 | 0 | 1 | null | null | null | null | UTF-8 | Scilab | false | false | 870 | sce | Image Enhancement By Histogram Manipulation.sce | clear
IMG=imread("bright.jpg");
IMG_SIZE=size(IMG);
IMG_GS=rgb2gray(IMG);
IMG_GS2=double(IMG_GS);
[counts,bins]=imhist(IMG_GS);
counts=counts/sum(counts);
CDF1=cumsum(counts);
x=[0:1:255]
CDF2=[0:1:255]
CDF2=CDF2./max(CDF2)
Tr=CDF1(IMG_GS2 + 1);
z=interp1(CDF2,x,Tr,'spline');
z=matrix(z,IMG_SIZE(1),IMG_SIZE(2));
Z=round(z);
Z=uint8(Z);
hst1=imhist(IMG_GS);
hst2=imhist(Z);
figure(1)
subplot(3,1,1)
title('Original Image')
imshow(IMG)
subplot(3,1,2)
title('Grayscale Image')
imshow(IMG_GS)
subplot(3,1,3)
title('Enhanced Image')
imshow(Z)
figure(2)
subplot(1,2,1)
title('Histogram Of Original Image')
plot2d(hst1)
subplot(1,2,2)
title('Histogram Of Enhanced Image')
plot2d(hst2)
figure(3)
subplot(1,2,1)
title('CDF of Original Image')
plot2d(CDF1)
subplot(1,2,2)
title('CDF of Enhanced Image')
plot2d(CDF2)
|
b80d7e9581c6c1c99b044d74158f9acabb92770f | e9affefd4e89b3c7e2064fee8833d7838c0e0abc | /aws-java-sdk-core/src/test/resources/resources/profileconfig/ProfileWithDuplicateSubProperties.tst | 1281da7991ed92f0ed908ab49caabf819aea5393 | [
"Apache-2.0"
] | permissive | aws/aws-sdk-java | 2c6199b12b47345b5d3c50e425dabba56e279190 | bab987ab604575f41a76864f755f49386e3264b4 | refs/heads/master | 2023-08-29T10:49:07.379135 | 2023-08-28T21:05:55 | 2023-08-28T21:05:55 | 574,877 | 3,695 | 3,092 | Apache-2.0 | 2023-09-13T23:35:28 | 2010-03-22T23:34:58 | null | UTF-8 | Scilab | false | false | 230 | tst | ProfileWithDuplicateSubProperties.tst | [source]
endpoint_url = https://global-endpoint-override.aws
[test]
source_profile=source
s3 =
endpoint_url = https://s3-endpoint-override.aws
elastic_beanstalk =
endpoint_url = https://elastic-beanstalk-endpoint-override.aws |
ae3122ed542b0d1fd0ed4f7cce8584588df98565 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1544/CH5/EX5.27/Ch05Ex27.sce | 6064c6746718efed798675a5f2a2214b090cf20f | [] | 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 | Ch05Ex27.sce | // Scilab code Ex5.27: Pg 185 (2008)
clc; clear;
L = 50e-03; // Self-inductance of coil, H
I = 0.75; // Electric current in coil, A
W = (L*(I^2))/2 // Energy stored, J
printf("\nEnergy stored in the inductor = %4.1f mJ", W/1e-03)
// Result
// Energy stored in the inductor = 14.1 mJ
|
b6dedf708c0ce301ab3e18ddad5ee6a54def5dc1 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2141/CH7/EX7.10/Ex7_10.sce | 0785989b87ac5c14091fd0f1689dc930f4e0f2d0 | [] | 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 | 359 | sce | Ex7_10.sce |
clc
//initialisation of variables
w=212 //F
Sliq=212 //F
T=80 //F
Sf=-1.4446 //Btu/lbm
Sh=1.4446 //Btu/lbm
Q=970.3 //Btu/lbm
T1=540 //F
//CALCULATIONS
DelS=Q/T1 //btu/lbm
S=Sf+DelS //Btu//lbm-R
Qsurr=T1*Sh //Btu/lbm
W=Q-Qsurr //Btu/lbm
//RESULTS
printf('The water equal to increase in entropy of the system plus surroundings=% f Btu/lbm',W)
|
3d7b8c7db5b9305131d1bac442e8857165010b60 | fd6a414e5722e920e5ebe08c77fe0f70b29e77cf | /SampligaNonBandlimitedSignal.sce | ea8f4edefef43c9a62259c7d63e97e9bd9312c62 | [] | no_license | JBouis/AudioProcessing | e774bdfaf38207643d441f975a96773ae3cbbd24 | c9f81b8d5ce447b014707b309ef209530219adc0 | refs/heads/master | 2021-05-18T02:21:40.839402 | 2020-03-29T15:22:16 | 2020-03-29T15:22:16 | 251,063,576 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 905 | sce | SampligaNonBandlimitedSignal.sce | // Sampling a Nonbandlimited Signal
// Plotting Continuous Time Fourier Transform of
// Continuous Time Signal x(t) = exp (-A *abs(t))
clear all; clc; close ;
// Analog Signal
A= 1; // Amplitude
Dt = 0.005;
t = -2:Dt:2;
xa = exp(-A * abs(t));
//
// Continuous-time Fourier Transform
Wmax = 2*%pi *2 ; // Analog Frequency = 2 Hz
K = 4 ;
k = 0:(K/500) :K;
W= k* Wmax/K;
Xa = xa * exp(-sqrt(-1)*t'*W) * Dt;
Xa = real (Xa) ;
W = [ -mtlb_fliplr(W), W(2:501)]; // Omega from -Wmax
// to Wmax
Xa = [mtlb_fliplr(Xa), Xa(2:501)];
subplot(2,1,1);
a= gca();
a.x_location = "origin";
a.y_location = "origin";
plot(t,xa);
xlabel( ' t in msec ');
ylabel('xa(t)')
title( 'Analog Signal')
subplot(2,1,2);
a= gca();
a.x_location = "origin";
a.y_location = "origin";
plot(W/(2*%pi),Xa);
xlabel( 'Frequency in Hz');
ylabel('Xa(jW) * 1000')
title( 'Continuous-time Fourier Transform')
|
bb9675af934d8e3ab15c050b5406131e299c8f37 | 99b4e2e61348ee847a78faf6eee6d345fde36028 | /Toolbox Test/firpmord/firpmord8.sce | 0a87cf1a7a9ba72bb2c79fc7ec8e966390381ba3 | [] | no_license | deecube/fosseetesting | ce66f691121021fa2f3474497397cded9d57658c | e353f1c03b0c0ef43abf44873e5e477b6adb6c7e | refs/heads/master | 2021-01-20T11:34:43.535019 | 2016-09-27T05:12:48 | 2016-09-27T05:12:48 | 59,456,386 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 373 | sce | firpmord8.sce | //negative values for i/p arg f
f = [-1500 -1300];
a = [1 0];
dev = [0.01 0.1];
fs = 8000;
[n,fo,ao,w] = firpmord(f,a,dev,fs);
disp(n);
//output
//!--error 116
//firpmord: Wrong value for argument #1 (f): Values must be between 0 and fs/2
//at line 109 of function firpmord called by :
//[n,fo,ao,w] = firpmord(f,a,dev,fs);
|
c1fbd46a27ba2b1b7380e00da05a6697b44df82a | 9d09abc83a0eafe2f996b3d7cb4012b996a63eee | /ch2-alu/AddOrAnd.tst | ff045b379948958178ba98bb232ac07bf42990ba | [] | no_license | masterzora/tecs | f6e2d65c42489b0ca84cd2628c0df8c76669c89a | 5e94a912816c885b48a845a33dd992442ddedcb4 | refs/heads/master | 2020-04-06T04:31:12.279947 | 2012-07-18T21:41:28 | 2012-07-18T22:37:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 639 | tst | AddOrAnd.tst | // This file is part of the materials accompanying the book
// "The Elements of Computing Systems" by Nisan and Schocken,
// MIT Press. Book site: www.idc.ac.il/tecs
// File name: projects/02/Add16.tst
load AddOrAnd.hdl,
output-file AddOrAnd.out,
output-list x%B1.16.1 y%B1.16.1 out%B1.16.1;
set x %B0000000000000000,
set y %B1111111111111111,
set f %B0,
eval,
output;
set x %B1111111111111111,
set y %B1111111111111111,
set f %B0,
eval,
output;
set x %B0000000000000000,
set y %B1111111111111111,
set f %B1,
eval,
output;
set x %B1111111111111111,
set y %B1111111111111111,
set f %B1,
eval,
output;
|
4b200a6e68a603564e799065ecb782ad24a7bb0b | a62e0da056102916ac0fe63d8475e3c4114f86b1 | /set5/s_Electrical_Machines_M._V._Despande_833.zip/Electrical_Machines_M._V._Despande_833/CH14/EX14.9/Ex14_9.sce | 9965b7f94bbc8c11f0002d520c2ec1dd73dfe6b7 | [] | 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 | 516 | sce | Ex14_9.sce | errcatch(-1,"stop");mode(2);//Caption:Find (a)Armature current of second machine (b)Power factor of ecach machine
//Exa:14.9
;
;
L=1000//Total load(in KW)
V=6600//Total voltage(in volts)
pf=0.8//Power factor
Ia=50//Armature current(in A)
L1=L/2
Ia1=(L1*1000)/(sqrt(3)*V)
pf1=Ia1/Ia
a1=acosd(pf1)
b=tand(a1)
P1=L1*b
Pl=L*tand(acosd(pf))
P2=P1-Pl
pf2=cosd(atand(P2/L1))
Ia2=Ia1/pf2
disp(Ia2,'(a)Armature current of second machine(in A)=')
disp(pf1,pf2,'(b)Power factor of both machines=')
exit();
|
4d99f1575bf598eb3e1e3d13b61696cf7906ea6b | 449d555969bfd7befe906877abab098c6e63a0e8 | /1316/CH1/EX1.13/example1_13.sce | 46d36c1875d89db89c9d356aa488a4c114976f5f | [] | 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 | example1_13.sce | //Chapter 1
//Example 1.13
//Page 31
clear;
clc;
TF=5;
Temp_Res=0.2;
//Calculation of required voltage resolution
printf("The temperature change of 0.2 degree celcius will result in a voltage change of = %.1f mV",TF*Temp_Res);
|
b9a8bc2c4deddb9ce1f1476a465905511072d27e | dbd504f73f233675d0c8c2c8c5730e866aabcd96 | /codes/wireless.sce | 1380b773b8fa867bb18ede0cc9b1f8359e2dde35 | [] | no_license | surajdurgesht/Wireless-Communication-Lab | f5019be42d24fe6568e98d666efd901283a0c7a7 | e8fac339daf91d24ee0dd9e22e9236fcbb68dac3 | refs/heads/master | 2020-06-04T19:07:54.824459 | 2019-06-16T06:30:21 | 2019-06-16T06:30:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 187 | sce | wireless.sce | clear all
clf();
h=10;
p=0:10:100;
N=1;
SNR=sqrt(h^2*p/N);
P_e=1/(2*SNR);
plot("ln",P_e,p,'r');
xlabel("power of signal");
ylabel("BER of wireless");
title("BER of wireless");
|
2dc5dff5995d17b8277620974537e6fcca23a618 | a8482cbefa8b8526f1e3da25ad1f82b237360c28 | /projects/06/add/Add.tst | 5df1760a1b38534c56475be44258d7a9e968f461 | [] | no_license | schalkwijk/nand2tetris | 72730b8ff0efc3e8ca3b5bc99dd67cad0e62f204 | 3ad830da12bc45947ea30c171a30ed1553d35ebc | refs/heads/master | 2021-01-24T07:07:47.515376 | 2017-06-07T03:20:25 | 2017-06-07T03:20:25 | 93,338,008 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 154 | tst | Add.tst | load Add.hack,
output-file Add.out,
compare-to Add.cmp,
output-list RAM[0]%D2.6.2
set RAM[0] 0, // Set test arguments
repeat 20 {
ticktock;
}
output; |
d0f32e99e9bdf7b1cfaf2e0adfc24d2bec0b370d | 449d555969bfd7befe906877abab098c6e63a0e8 | /3856/CH3/EX3.4/Ex3_4.sce | 0d539d6ea6fa570bdf35fa6e54a3667ab94fe54b | [] | 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 | 692 | sce | Ex3_4.sce | //Calculate the mass of Carbon di Oxide in gramm that collides every second with leaf
//Example 3.4
clc;
clear;
P=(0.033*101325*1)/(100*1); //Partial pressure of the gas in Pa
M=44.01*1.661*10^-27; //Molecular mass of CO2 in kg
R=8.314; //Gas constant in J K^-1 mol^-1
NA=6.023*10^23; // Avagadro number mol^-1
Kb=R/NA; //Boltzman's constant in J K^-1
T=298; //Tepmerature in K
ZA=P/(2*%pi*M*Kb*T)^0.5;
A=0.020; //Area of leaf in m^2
Noc=ZA*A; //Number of CO2 molecule colliding with the leaf in s^-1
Moc=Noc*7.31*10^-23; //Mass of CO2 that colliding with leaf in g s^-1
printf("Mass of Carbon di Oxide that collide = %.1f g s^-1",Moc);
|
093e3160b83b9ddf8772bb8f2dbba7c4644c7a75 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2375/CH10/EX10.1/ex10_1.sce | 70a79b1a1be866a514c44f487a841e2ded1204c5 | [] | 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 | 257 | sce | ex10_1.sce | // Exa 10.1
clc;
clear;
close;
format('v',6)
// Given data
A = 60;// in dB
A= 10^(A/20)
Beta = 0.005;
dAbyA = -12/100;
// On putting the value of A, bita and dA/A
dAfbyAf = (1/(1+A*Beta))*(dAbyA);
disp(dAfbyAf,"The change in overall gain is");
|
a939adbee9d53ff72bafff7a6ba330a5fbacbc23 | 4058f38b392324aa5099819881f3c7d7219a174f | /3 bit Shift Register/SIPO_using_74HC595/SIPO_using_74HC595_consecutive_inputs/Method 2/cmd_shift_out_.sci | 3649eb6bda37fd97e671717aba62e6ad1249a79f | [] | no_license | anupma-s/Scilab-Xcos-Arduino-Digital-Circuits | 612a033422bf14e2e58bcdce371f15cafb30224f | 2b4bf8e8f155d20a5eda2feb31c5523a51569d73 | refs/heads/master | 2021-01-20T17:20:13.073180 | 2016-07-04T15:25:07 | 2016-07-04T15:25:07 | 62,569,455 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 417 | sci | cmd_shift_out_.sci | function[]= cmd_shift_out_(dataPin,clockPin,inPin)
disp ("Give serial input: ")
sleep(250)
cmd_digital_out(1,dataPin,cmd_digital_in(1,inPin))//if inPin is HIGH i.e. if input is given, write HIGH on Serial In Pin of IC
disp("Serial input stored: ")
cmd_digital_out(1,clockPin,1)
cmd_digital_out(1,clockPin,0)
sleep(150)
endfunction
|
e0b27c1e57c896740b4dfc468406ee23f5d7b59b | 449d555969bfd7befe906877abab098c6e63a0e8 | /1382/CH2/EX2.24/EX_2_24.SCE | b3800bab08aaf512f28f76a9a3125fae1a8b1f48 | [] | 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 | 574 | sce | EX_2_24.SCE | // Example 2.24: Base Resistance , stability factor
clc;
clear;
close;
Vcc=24;// Colector voltage in volts
Beta=45;//Common emitter D.C. Current gain
Rl=10;// Collector resistance in killo ohms
Re=0.27;// Emitter resistance in killo ohms
Vce=5;// Collector to emitter voltage in volts
Vbe=0.6;// Base to emitter voltage in volts
Ib=(Vcc-Vce)/((1+Beta)*(Rl+Re));//in milli ampere
Ic=Ib/Beta;// in micro ampere
R=(Vce-Vbe)/Ib;// Resistance in killo ohms
S=(1+Beta)/(1+Beta*(Re/(Re+R)));
disp (R,"Base resistance in killo ohms")
disp (S,"The Stability factor")
|
1d1c65bd3a48a7ac688d98733767800a1798271e | c6515791fea5828996a3924a74b5358852bc69f0 | /ap4_metodo_potencia/Metodo_potencia_deslocado.sci | 98ff2b52548621f828a5a43c2006dada3f545cde | [] | no_license | fernandascovino/fgv_math_modeling_3 | 366f05faa9fc657473acad8c1061b7c6feed8d4a | 11853e0bf2c05ad2df4fb369dfa922fc50c68ceb | refs/heads/master | 2023-02-24T23:03:18.431724 | 2021-01-31T18:08:16 | 2021-01-31T18:08:16 | 334,722,683 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 414 | sci | Metodo_potencia_deslocado.sci | function [lambda1,v1,lambda2,v2] = Metodo_potencia_deslocado(A,x0,epsilon)
[lambda1, v1] = Metodo_potencia(A,x0,epsilon) //autovalor dominante
A = A - lambda1*eye(size(A,1), size(A,2)) //deslocamento da matriz
[lambda2,v2] = Metodo_potencia(A,x0,epsilon)
//lambda é autovalor de (A - lambda1*I), então (lambda + lambda1) é autovalor de A
lambda2 = lambda2 + lambda1
endfunction
|
d03df14cc7e58b6d69bdb62d3e0c669066508063 | bce0c755bfdc527c8cc0737e8e1e59467267cff9 | /macros/trainSVMSGDClassifier.sci | bb01b27034eefcf4761215c8d2a39315ab1130e6 | [] | no_license | shubham0108/FOSSEE-Image-Processing-Toolbox | bacc26e6c7139383a374ea16f6c62565a7ff0603 | 68cddb2ca8dabddfe47251ac6647011acb849a2c | refs/heads/master | 2021-06-16T02:27:39.886532 | 2020-05-01T09:23:39 | 2020-05-01T09:23:39 | 97,078,162 | 0 | 0 | null | 2017-07-13T03:57:21 | 2017-07-13T03:57:21 | null | UTF-8 | Scilab | false | false | 5,290 | sci | trainSVMSGDClassifier.sci | // Copyright (C) 2015 - IIT Bombay - FOSSEE
//
// This file must be used under the terms of the CeCILL.
// This source file is licensed as described in the file COPYING, which
// you should have received as part of this distribution. The terms
// are also available at
// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
// Author: Nihar Rao
// Organization: FOSSEE, IIT Bombay
// Email: toolbox@scilab.in
function [classifier]=trainSVMSGDSGDClassifier(imgSet,bag,classifierName,varargin)
// This function is used to train an image classifier using the SVMSGD(Stochastic Gradient Descent SVM) Model.
//
// Calling Sequence
// imgSet = imageSet(directory,'recursive');
// 'or'
// imgSet = imageSet(image);
// bag = bagOfFeatures(imgSet);
// classifier = trainSVMSGDClassifier(imgSets, bag);`
// classifier = trainSVMSGDClassifier(imgSets, bag,'nameclass')
// classifier = trainSVMSGDClassifier(imgSets, bag,'nameclass')
// classifier = trainSVMSGDClassifier(imgSets, bag,'nameclass',initialStepSize)
// classifier = trainSVMSGDClassifier(imgSets, bag,'nameclass',initialStepSize,marginReg)
// classifier = trainSVMSGDClassifier(imgSets, bag,'nameclass',initialStepSize,marginReg,marginType)
// classifier = trainSVMSGDClassifier(imgSets, bag,'nameclass',initialStepSize,marginReg,marginType,optimalParams)
// classifier = trainSVMSGDClassifier(imgSets, bag,'nameclass',initialStepSize,marginReg,marginType,optimalParams,stepDecreasingPower)
//classifier = trainSVMSGDClassifier(imgSets, bag,'nameclass',initialStepSize,marginReg,marginType,optimalParams,stepDecreasingPower,svmsgdType)
//
// Parameters
// classifier: Image category classifier location
// BagofFeaturesLocation : location of the xml or yml file.
// Description : features obtained after training.
// imgSets: Input imageSet to train the classifier on
// bag: The bagOfFeatures of the imageSet provided
// image: The set of images used for creating the imageset used for training
// nameclass: Name of the classifier one wants for their trained model .xml or .yml file
// initialStepSize:Parameter initialStepSize of a SVMSGD optimization problem that should be used to train the model.
// marginReg: Parameter marginRegularization of a SVMSGD optimization problem that should be used to train the model
// marginType: Parameter marginType of a SVMSGD optimization problem that should be used to train the model.it should be either 0 or 1.
// optimalParams: sets optimal parameters values for chosen SVM SGD model.
// stepDecreasingPower: Parameter stepDecreasingPower of a SVMSGD optimization problem that should be used to train the model.
// svmsgdType: Algorithm type of SVMSGD that should be used to train the model.it should be either 0 or 1.
//
//
// Description
// This function is used to train an image classifier using the SVMSGD(Stochastic Gradient Descent SVM) Model.
//
// Examples
// //get imageset from 'images2' folder
// image=imageSet('images2','recursive');
// //get bag of features
// x=bagOfFeatures(image);
// //train thew model and name the saved .yml file as "pbrr" using the given parameters
// r=trainSVMSGDClassifier(image,x,"pbrr",0,0,0,1,0,1);
// //read image to get prediction from the above trained data
// z=imread("fish.jpg");
// //finally predict the class using SVMSGD's prediction function for the input image
// resp=predict(r,z,"SVMSGD");
//
// //get imageset from 'images2' folder
// image=imageSet('images2','recursive');
// //get bag of features
// x=bagOfFeatures(image);
// //train the model and name the saved .yml file as "pbrr"
// r=trainSVMSGDClassifier(image,x,"pbrr");
// //read image to get prediction from the above trained data
// z=imread("fish.jpg");
// //finally predict the class using SVMSGD's prediction function for the input image
// resp=predict(r,z,"SVMSGD");
//convert to list
bag_list = bagStructToList(bag);
imgSets_list = imageSetToList(imgSet);
[lhs rhs]=argn(0);
if lhs>1
error(msprintf(" Too many output arguments"));
elseif rhs>9
error(msprintf(" Too many input arguments,maximum number of arguments is 9"));
elseif rhs<3
error(msprintf("the function needs atleast 3 arguments"));
end
if rhs==3
temp=raw_trainSVMSGDSGDClassifier(imgSets_list, bag_list,classifierName);
elseif rhs==4
temp=raw_trainSVMSGDSGDClassifier(imgSets_list,bag_list,classifierName,varargin(1));
elseif rhs==5
temp=raw_trainSVMSGDSGDClassifier(imgSets_list,bag_list,classifierName,varargin(1),varargin(2));
elseif rhs==6
temp=raw_trainSVMSGDSGDClassifier(imgSets_list,bag_list,classifierName,varargin(1),varargin(2),varargin(3));
elseif rhs==7
temp=raw_trainSVMSGDSGDClassifier(imgSets_list,bag_list,classifierName,varargin(1),varargin(2),varargin(3),varargin(4));
elseif rhs==8
temp=raw_trainSVMSGDSGDClassifier(imgSets_list,bag_list,classifierName,varargin(1),varargin(2),varargin(3),varargin(4),varargin(5));
elseif rhs==9
temp=raw_trainSVMSGDSGDClassifier(imgSets_list,bag_list,classifierName,varargin(1),varargin(2),varargin(3),varargin(4),varargin(5),varargin(6));
end
classifier = struct("ClassifierLocation", temp(2), "BagofFeaturesLocation", temp(3), "Description", temp(4));
endfunction
|
f18861726df74e76efdfdd6b37d87a3ca7bca511 | d963a50c09b7380dd7b1b97cd9997e9bd17ea8f3 | /r37/packages/solve/desir.tst | 2600934d41837fd412cd51f3c6899003abfbe66a | [
"BSD-3-Clause"
] | permissive | reduce-algebra/reduce-historical | 8220e211b116e0e01ff1a38f51917cac9db6069f | e014152729c4d62bb1ce4f5c311a027042a5495a | refs/heads/master | 2023-04-10T22:54:00.796596 | 2021-04-16T08:52:19 | 2021-04-16T08:52:19 | 343,245,204 | 7 | 1 | NOASSERTION | 2021-04-16T08:53:31 | 2021-03-01T00:15:22 | TeX | UTF-8 | Scilab | false | false | 4,683 | tst | desir.tst | off echo;
write
"Premier exemple: utilisation interactive sur une equation simple";
write "desir(); %appel de DESIR";
desir();
3; %ordre de l'equation
1;x;x;x**6; %coefficients
non; %correction ?
non; %transformation ?
4; %nombre de termes a calculer
non; %transformation ?
write "solvalide(first ws,1,4);";
solvalide(first ws,1,4);
write "Le meme exemple en utilisation directe";
write "lcoeff:={1,x,x,x**6};";
lcoeff:={1,x,x,x**6};
write "param:={};";
param:={};
write "on trdesir; %obtention facultative d'une trace";
on trdesir;
showtime;
write "sol:=delire(x,4,1,lcoeff,param);";
sol:=delire(x,4,1,lcoeff,param);
write "showtime; %temps d'execution de 'delire'";
showtime;
on div;j:=0$
for each elt in sol do
<<j:=j+1;write j,"ieme solution :", sorsol(elt);>>;
write "solvalide({lcoeff,sol},2,4)$";
solvalide({lcoeff,sol},2,4)$
write "solvalide({lcoeff,sol},3,4)$";
solvalide({lcoeff,sol},3,4)$
off div;
write "off trdesir;";
off trdesir;
write "Deuxieme exemple : utilisation interactive, parametres et";
write "transformations";
write "desir();";
desir();
2; %ordre de l'equation
x**2-nu**2;x;x**2; %coefficients
non; %correction ?
1; %nombre de parametres
nu; %nom du parametre
non; %transformation ?
2; %nombre de termes a calculer
oui; %transformation ?
2; %changement de variable
1/v; %x=1/v
non; %transformation ?
2; %nombre de termes a calculer
non$ %transformation ?
sol:=ws$
write "sol1:=first sol$ %solutions au voisinage de 0";
sol1:=first sol$ %solutions au voisinage de 0
write "sol2:=second sol$ %solutions au voisinage de l'infini";
sol2:=second sol$ %solutions au voisinage de l'infini
write "solvalide(sol1,1,2)$";
solvalide(sol1,1,2)$ %presence de solutions conditionnelles
write "solvalide(sol2,1,2)$";
solvalide(sol2,1,2)$ %la verification de la validite des solutions
%au voisinage de l'infini est possible malgre
%le parametre (pas de condition).
write
"Remarque : la verification de la validite des solutions est possible";
write "malgre la presence d'un parametre (pas de condition).";
write "standsol(sol1); %=sol1...sans interet!";
standsol(sol1); %=sol1...
write "standsol(sol2); %solutions retournees sous forme standard.";
standsol(sol2);
write "Pour revoir les solutions au voisinage de 0 :";
j:=0$
write "for each elt in second sol1 do";
write " <<j:=j+1;write j,'ieme solution';sorsol(elt);>>;";
for each elt in second sol1 do
<<j:=j+1;write j,"ieme solution";sorsol(elt);>>;
write
"Evaluation des solns au voisinage de 0 pour une valeur particuliere";
write "du parametre :";
write "sorparam(sol1,{nu});%evaluation des solutions au voisinage de 0";
write " %pour une valeur particuliere du parametre";
write " %nu = 1";
write " %ecriture et retour des solutions sous forme";
write " %standard";
sorparam(sol1,{nu}); %evaluation des solutions au voisinage de 0
%pour une valeur particuliere du parametre
1; %valeur de nu
%ecriture et retour des solutions sous forme
%standard
write "solparam(sol1,{nu},{1});";
solparam(sol1,{nu},{1}); %meme fonction avec retour des solutions sous
%forme generalisee, ce qui permet d'enchainer
write "Meme fonction avec retour des solutions sous forme generalisee,";
write "ce qui permet d'enchainer :";
write "solvalide(ws,1,2)$";
solvalide(ws,1,2)$
write
"L'exemple suivant a ete cree specialement pour tester l'algorithme";
write "et utiliser un grand nombre de procedures :";
lcoeff:={x+1,2*x**2*(x+1),x**4,(5*x**7)/2,x**10};
param:={};
showtime;
write "sol:=delire(x,4,1,lcoeff,param);";
sol:=delire(x,4,1,lcoeff,param)$
showtime;
on div;j:=0$
for each elt in sol do
<<j:=j+1;write j,"ieme solution :", sorsol(elt);>>;
solvalide({lcoeff,sol},1,4)$
solvalide({lcoeff,sol},3,4)$
off div;
end;
|
9d314959c30e67805a7983f118ed537d6d3237a0 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1808/CH7/EX7.16/Chapter7_Exampl16.sce | 885ea36381f39095e8e8e3210b14a9060ff1f2bd | [] | 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 | 1,611 | sce | Chapter7_Exampl16.sce | clc
clear
//INPUT DATA
t1=30;//dry bulb temperature in Degree c
t2=25;//Coil cooling temperature in Degree C
x1=0.6;//realtive humidity in percentage
t3=10;//Coil cooling temperature in Degree C
x=0.2;//bypass factor
Ra=287.3;//gas constant
p=760;//pressure in mm of Hg
V1=80;//volume in m^3/kg d.a
ps1=31.81;//Saturation pressure in mm Hg
cp=1.005;//specific pressure
ps2=23.74;//Saturation pressure in mm Hg
pv3=9.196;//Saturation pressure in mm Hg
//CALCULATIONS
v1=Ra*(273+t1)/((p-19.08)*133.5);//volume in m^3/kg d.a.
ma=V1/v1;//Mass of dry air entering the coil in kg d.a./min
pv1=x1*ps1;//Saturation pressure in mm Hg
w1=0.622*(pv1/(p-pv1));//Specific humidity in kg w.v./kg d.a
h1=cp*t1+w1*(2500+1.88*t1);//Enthalpy of air per kg of dry air in kJ/kg d.a.
h2=cp*t2+w1*(2500+1.88*t2);//Enthalpy of air per kg of dry air in kJ/kg d.a.
Rc1=ma*(h1-h2);//Capacity of the coil in TR
x2=(pv1/ps2)*100;//realtive humidity in percentage
t2r=x*(t1-t3)+t3;//Temperature at refrigeration in Degree c
w3=0.622*(pv3/(p-pv3));//Specific humidity in kg w.v./kg d.a
h3=cp*t3+w3*(2500+1.88*t3);//Enthalpy of air per kg of dry air in kJ/kg d.a.
h2r=x*(h1-h3)+h3;//Enthalpy of air per kg of dry air in kJ/kg d.a.
Rc2=ma*(h1-h2r);//Capacity of the coil in TR
w2=x*(w1-w3)+w3;//Specific humidity in kg w.v./kg d.a
mw=ma*(w1-w2);//Condensate flow in kg w.v./min
//OUTPUT
printf('CASE I \n (a1)Refrigeration required is %3.2f kJ/min \n (b1)Final RH is %3.3f percentage \n CASE II \n (a2)Refrigeration required is %3.2f kJ/min \n (b2)condensate flow is %3.4f kg w.v./min ',Rc1,x2,Rc2,mw)
|
440dd1959fc99266a098dc2bb87af03e5a920ee1 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3784/CH5/EX5.6/Ex5_6.sce | 24c55c7a1a3f013551cc26748d782ada37908e8c | [] | 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 | Ex5_6.sce | clc
//variable initialisation
Vm=400 //Supply Voltage in volt
F=50 //supply frequency in hrtz
P=6 //Number Of Poles
R1=0.15 //resistance of stator in ohm
R2=0.15 //resistance of rotor in ohm
X1=0.8 //reactance of Motor in ohm
X2=0.8 //reactance of Motor in ohm
S=0.04 //Slip Of Motor
//Solution
Ns=(120*F)/P
Ws=((2*%pi)/60)*1000
Sr=2-S
Vph=Vm/(sqrt(3))
I2=Vph/(sqrt(((R1+(R2/((2-S))))^2)+((X1+X2)^2)))
Tsb=(3*((I2)^2)*(R2/(2-S)))/(Ws)
printf('\n\n The Initial Braking Torque=%0.1f N-m\n\n',Tsb)
|
499d92a2d9522ac5620de142254d623d206bff94 | 4a1effb7ec08302914dbd9c5e560c61936c1bb99 | /Project 2/Experiments/FURIA-C/results/FURIA-C.vowel-10-1tra/result0s0.tst | 59b4fd3eb652d50d708516ef18426baca044a4d0 | [] | no_license | nickgreenquist/Intro_To_Intelligent_Systems | 964cad20de7099b8e5808ddee199e3e3343cf7d5 | 7ad43577b3cbbc0b620740205a14c406d96a2517 | refs/heads/master | 2021-01-20T13:23:23.931062 | 2017-05-04T20:08:05 | 2017-05-04T20:08:05 | 90,484,366 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 980 | tst | result0s0.tst | @relation vowel
@attribute TT integer[0,1]
@attribute SpeakerNumber integer[0,14]
@attribute Sex integer[0,1]
@attribute F0 real[-5.211,-0.941]
@attribute F1 real[-1.274,5.074]
@attribute F2 real[-2.487,1.431]
@attribute F3 real[-1.409,2.377]
@attribute F4 real[-2.127,1.831]
@attribute F5 real[-0.836,2.327]
@attribute F6 real[-1.537,1.403]
@attribute F7 real[-1.293,2.039]
@attribute F8 real[-1.613,1.309]
@attribute F9 real[-1.68,1.396]
@attribute Class{0,1,2,3,4,5,6,7,8,9,10}
@inputs TT,SpeakerNumber,Sex,F0,F1,F2,F3,F4,F5,F6,F7,F8,F9
@outputs Class
@data
3 4
7 7
7 7
9 9
3 4
5 5
8 8
9 9
10 10
6 6
7 7
6 6
10 10
3 3
8 7
2 2
4 4
7 7
9 9
4 3
9 9
10 10
7 7
0 0
0 0
0 0
4 2
2 2
0 0
8 9
5 5
8 8
2 2
9 9
10 10
10 10
8 8
5 5
3 10
7 7
1 1
5 4
8 10
4 4
0 0
3 3
6 6
5 5
9 8
0 0
3 10
4 4
10 10
2 2
6 6
1 1
10 10
1 1
3 2
4 4
1 1
2 2
6 6
9 9
1 1
4 4
9 9
6 6
7 7
10 10
2 5
0 0
3 3
6 6
10 10
5 10
9 9
1 1
6 7
8 7
0 0
2 2
5 5
7 6
2 2
4 4
6 6
8 9
2 2
1 1
1 1
0 9
4 4
8 8
1 1
3 3
5 5
5 5
7 7
|
29cab17e2f180ee8439e8dbdb774958c92e91411 | 449d555969bfd7befe906877abab098c6e63a0e8 | /10/CH10/EX1/cha10_1.sce | 13304f41fd7179ef7b3d97f997160eb1a62b960f | [] | 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 | 295 | sce | cha10_1.sce | Ka=0.09;N=1000;
Ia=30;Ra=0.4;V=120;
RevEa=-90;
Ea=Ka*N
Vo=Ea+(Ia*Ra)
a=Vo*%pi
b=2*sqrt(2)*V
c=a/b
angle=acosd(c)
P=Vo*Ia
S=V*Ia
Pf=P/S
Vo1=RevEa+(Ia*Ra)
a=Vo1*%pi
b=2*sqrt(2)*V
c=a/b
Angle=acosd(c)
Pdc=Ea*Ia
Pr=Ia^2*Ra
Ps=Pdc-Pr
|
f55842364c70e792da277108d60c3d4212887f1c | b0aff14da16e18ea29381d0bd02eede1aafc8df1 | /mtlbSci/macros/moc_polyfit.sci | bb7c3a0fb7bdf8cc48b146f72fb63fd32ca19f3a | [] | no_license | josuemoraisgh/mtlbSci | 5d762671876bced45960a774f7192b41124a13ed | 5c813ed940cccf774ccd52c9a69f88ba39f22deb | refs/heads/main | 2023-07-15T23:47:11.843101 | 2021-08-26T17:52:57 | 2021-08-26T17:52:57 | 385,216,432 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 6,746 | sci | moc_polyfit.sci | function [p, s, mu] = moc_polyfit (x, y, n)
// Return the coefficients of a polynomial
// Calling Sequence
// p= polyfit (x, y, n)
// [p, s] = polyfit (x, y, n)
// [p, s, mu] = polyfit (x, y, n)
// Parameters
// n: degree (scalar) or logical vector
// p: The polynomial coefficients are returned in a row vector.
// s: The optional output s is a structure
// s.R : Triangular factor R from the QR decomposition.
// s.X: The Vandermonde matrix used to compute the polynomial coefficients.
// s.C: The unscaled covariance matrix, formally equal to the inverse of x'*x, but computed in a way minimizing roundoff error propagation.
// s.df: The degrees of freedom.
// s.normr: The norm of the residuals.
// s.yf: The values of the polynomial for each value of x.
// Description
// Return the coefficients of a polynomial p(x) of degree
// n that minimizes the least-squares-error of the fit to the points
// [x, y]. If n is a logical vector, it is used
// as a mask to selectively force the corresponding polynomial
// coefficients to be used or ignored.
//
//
// The second output may be used by moc_polyval to calculate the
// statistical error limits of the predicted values. In particular, the
// standard deviation of pcoefficients is given by sqrt (diag (s.C)/s.df)*s.normr.
//
// When the third output, mu, is present the
// coefficients, p, are associated with a polynomial in
// xhat = (x-mu(1))/mu(2).
// Where mu(1) = mean (x), and mu(2) = stdev (x).
// This linear transformation of x improves the numerical
// stability of the fit.
// See also
// moc_polyval
// Authors
// Kurt Hornik - 1994
// Holger Nahrstaedt 2014
// Author: KH <Kurt.Hornik@wu-wien.ac.at>
// Created: 13 December 1994
// Adapted-By: jwe
// Modified on 20120204 by P. Dupuis; added the ability to specify a
// polynomial mask instead of a polynomial degree.
// Copyright (C) 1996-2013 John W. Eaton
//
// This file is part of Octave.
//
// Octave is free software; you can redistribute it and/or modify it
// under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 3 of the License, or (at
// your option) any later version.
//
// Octave is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with Octave; see the file COPYING. If not, see
// <http://www.gnu.org/licenses/>.
[nargout,nargin]=argn(0);
if (nargin < 3 | nargin > 4)
error("[p, s, mu] = moc_polyfit (x, y, n)");
end
if (nargout > 2)
// Normalized the x values.
mu = [mean(x), stdev(x)];
x = (x - mu(1)) / mu(2);
end
if (~ moc_size_equal (x, y))
error ("polyfit: X and Y must be vectors of the same size");
end
if (moc_islogical (n))
polymask = n;
// n is the polynomial degree as given the polymask size; m is the
// effective number of used coefficients.
n = length (polymask) - 1; m = sum (polymask) - 1;
else
if (~ (isscalar (n) & n >= 0 & ~isinf (n) & n == fix (n)))
error ("polyfit: N must be a non-negative integer");
end
polymask = moc_logical (ones (1, n+1)); m = n;
end
y_is_row_vector = (moc_rows (y) == 1);
// Reshape x & y into column vectors.
l = length (x);
x = x(:);
y = y(:);
// Construct the Vandermonde matrix.
v = makematrix_vandermonde (x, n+1);
v=v(:,$:-1:1);
// Solve by QR decomposition.
//[q, r, k] = qr (v(:, polymask), 0);
[q, r, k, E] = qr (v(:, polymask), 0);
k=(1:k)*E; // [q,r,k] as for octave
p = r \ (q' * y);
p(k) = p;
if (n ~= m)
q = p; p = zeros (n+1, 1);
p(polymask) = q;
end
if (nargout > 1)
yf = v*p;
if (y_is_row_vector)
s.yf = yf.';
else
s.yf = yf;
end
s.X = v;
// r.'*r is positive definite if X(:, polymask) is of full rank.
// Invert it by cholinv to avoid taking the square root of squared
// quantities. If cholinv fails, then X(:, polymask) is rank
// deficient and not invertible.
try
C = moc_cholinv (r.'*r);
C=C(k, k);
catch
C = %nan*ones (m+1, m+1);
end
if (n ~= m)
// fill matrices if required
s.X(:, ~polymask) = 0;
s.R = zeros (n+1, n+1); s.R(polymask, polymask) = r;
s.C = zeros (n+1, n+1); s.C(polymask, polymask) = C;
else
s.R = r;
s.C = C;
end
s.df = l - m - 1;
s.normr = norm (yf - y);
end
// Return a row vector.
p = p.';
endfunction
// %!shared x
// %! x = [-2, -1, 0, 1, 2];
// %!assert (polyfit (x, x.^2+x+1, 2), [1, 1, 1], sqrt (eps))
// %!assert (polyfit (x, x.^2+x+1, 3), [0, 1, 1, 1], sqrt (eps))
// %!fail ("polyfit (x, x.^2+x+1)")
// %!fail ("polyfit (x, x.^2+x+1, [])")
//
// // Test difficult case where scaling is really needed. This example
// // demonstrates the rather poor result which occurs when the dependent
// // variable is not normalized properly.
// // Also check the usage of 2nd & 3rd output arguments.
// %!test
// %! x = [ -1196.4, -1195.2, -1194, -1192.8, -1191.6, -1190.4, -1189.2, -1188, ...
// %! -1186.8, -1185.6, -1184.4, -1183.2, -1182];
// %! y = [ 315571.7086, 315575.9618, 315579.4195, 315582.6206, 315585.4966, ...
// %! 315588.3172, 315590.9326, 315593.5934, 315596.0455, 315598.4201, ...
// %! 315600.7143, 315602.9508, 315605.1765 ];
// %! [p1, s1] = polyfit (x, y, 10);
// %! [p2, s2, mu] = polyfit (x, y, 10);
// %! assert (s2.normr < s1.normr);
//
// %!test
// %! x = 1:4;
// %! p0 = [1i, 0, 2i, 4];
// %! y0 = polyval (p0, x);
// %! p = polyfit (x, y0, numel (p0) - 1);
// %! assert (p, p0, 1000*eps);
//
// %!test
// %! x = 1000 + (-5:5);
// %! xn = (x - mean (x)) / stdev (x);
// %! pn = ones (1,5);
// %! y = polyval (pn, xn);
// %! [p, s, mu] = moc_polyfit (x, y, length (pn) - 1);
// %! [p2, s2] = moc_polyfit (x, y, length (pn) - 1);
// %! assert (p, pn, s.normr);
// %! assert (s.yf, y, s.normr);
// %! assert (mu, [mean(x), std(x)]);
// %! assert (s.normr/s2.normr < sqrt (eps));
//
// %!test
// %! x = [1, 2, 3; 4, 5, 6];
// %! y = [0, 0, 1; 1, 0, 0];
// %! p = polyfit (x, y, 5);
// %! expected = [0, 1, -14, 65, -112, 60] / 12;
// %! assert (p, expected, sqrt (eps));
//
// %!error <vectors of the same size> polyfit ([1, 2; 3, 4], [1, 2, 3, 4], 2)
|
fa40035151746d8cb61dc156a241980dc4bdcbb9 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1328/CH4/EX4.2/4_2.sce | b9f9666f0efaaa6bc8a7d88d53ecfadbac86d1f1 | [] | 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 | 494 | sce | 4_2.sce | printf("\t example 4.2 \n");
printf("\t approximate values are mentioned in the book \n");
T1=1000+460; // R
T2=800+460; // R
e1=0.6; // emissivity of hotter wall
e2=0.8; // emissivity of colder wall
Q=(((0.173)/((1/0.6)+(1/0.8)-1))*((14.6)^4-(12.6)^4)); // using eq.4.26,heat loss per unit area,Btu/(hr)*(ft^2)
printf("\t heat removed from colder wall per unit area is : %.0f Btu/(hr)*(ft^2) \n",Q);
printf("\t For perfect black bodies the value was 3500 Btu/(hr)(ft^2) \n");
// end
|
c9f5d0e35865c0684c116242956d745fcdaf25c5 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1955/CH3/EX3.12/example12.sce | 2b37bcff93fd0efbc0fb46b4e90b69c5e17be680 | [] | 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 | 1,277 | sce | example12.sce | clc
clear
//input data
N=3000//The running speed of the blower in rpm
D2=0.75//The impeller diameter in m
Cr2=57//The radial velocity at exit in m/s
Cx1=0//Inlet absolute velocity of air in tangential direction in m/s
DR=0.58//Degree of reaction of the blower
nc=0.75//Total-to-total efficiency
r=1.4//The ratio of specific heats of air
R=287//The universal gas constant in J/kg.K
Cp=1.005//The specific heat of air at constant pressure in J/kg.K
T01=298//The inlet stagnation temperature in K
P01=1*101.325//The inlet stagnation pressure in kPa
//calculations
U2=(3.1415*D2*N)/60//The impeller tip speed in m/s
Cx2=2*(1-DR)*U2//Outlet absolute velocity of air in tangential direction in m/s
Wx2=U2-Cx2//Relative whirl component of velocity at outlet in m/s
b22=atand(Cr2/Wx2)//The blade air angle at the tip in degree
Wm=U2*Cx2*10^-3//Actual work done per unit mass flow rate when Cx1=0 in kW/(kg/s)
T=Wm/Cp//Total change in temperature in blower in K
P=(1+(nc*(T/T01)))^(r/(r-1))//Total pressure ratio in the blower
P02=P*P01//The outlet stagnation pressure from blower in kPa
//output
printf('(a)The exit blade angle is %3.1f degree\n(b)The power input to the blower is %3.3f kW/(kg/s)\n(c)The exit stagnation pressure is %3.2f kPa',b22,Wm,P02)
|
4437af8f3dd5c393e1cfa45c2f0840563a313c0d | b6b875fb04ec6df2c0fb0d28f36962fa9aebb2bf | /TD1/logistique/logistique.sce | c241018c01177d284ac55454ad4fbd21a3f92a41 | [] | no_license | MFrizzy/Modelisation | 51794b2edf421f9d2206cb73972d8d8d7b1e9759 | 0ca819afbcbe00f58f3bbaa8fc97164ae2c1d3cb | refs/heads/master | 2021-08-29T12:02:20.042037 | 2017-12-13T22:39:21 | 2017-12-13T22:39:21 | 106,943,303 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 332 | sce | logistique.sce | clear
clf
b=0.5; d=0.3;
ndate = 0:30
alpha = 0.05;
x(1) = 1;
for n=1:30
x(n+1)=x(n)+b*x(n)- (d*x(n)+alpha*x(n)*x(n));
end
plot2d(ndate, x, style = -1)
plot2d(ndate, x, style = 2)
r=1.2; C=0.05;
ndate = 0:30;
x(1) = 1;
for n=1:30
x(n+1)=r*(x(n)/(C*x(n)+1));
end
plot2d(ndate, x, style = -1)
plot2d(ndate, x, style = 3)
|
20d1ea58145c75d64cb6229f64a1a5140425faaf | e86f908be00c4a3a017e81d12588d76562c56b75 | /macros/zplane.sci | bfa9285f0b8b0e95dddc2cf164f3814277cf8576 | [] | no_license | ShashikiranYadalam/FOSSEE_SP_task | 8869a14f664329625b76e15e771058b90b69b1e1 | 601ca7b7c91587a430c69c9ceb1f87b196c8e566 | refs/heads/master | 2020-03-20T06:38:26.598686 | 2019-03-01T12:31:10 | 2019-03-01T12:31:10 | 137,255,176 | 0 | 0 | null | 2018-06-14T05:16:17 | 2018-06-13T18:27:32 | HTML | UTF-8 | Scilab | false | false | 227 | sci | zplane.sci | function [y] = zplane(z,p)
funcprot(0);
rhs = argn(2)
if(rhs<1 | rhs>2)
error("Wrong number of input arguments.")
end
select(rhs)
case 1 then
callOctave("zplane",z)
case 2 then
callOctave("zplane",z,p)
end
endfunction
|
5e8fb8ec2e4a5cc70ac5fd7613edda5ead9f0aa8 | 80bedece1d4391737a6c525e298c2f0b69c7f669 | /highlight/static/Elwira/newton.sce | f704e9f348411aee33179402be49a676dde49e77 | [] | no_license | sacherus/psi_project | eef2171e08b9826d29cc953734a26f8312d43575 | 6938fa193b52724c90c869a1f79d9abb5a080b26 | refs/heads/master | 2020-04-20T22:05:22.732433 | 2012-12-20T11:16:52 | 2012-12-20T11:16:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 303 | sce | newton.sce |
function Y = newton(A)
n=size(A)
n=n(1)
matrixx=zeros(n,n+1)
for i=1:n
matrixx(i,1) = A(i,1)
matrixx(i,2) = A(i,2)
end
for i=3:(n+1)
for j=1:(n-i+2)
matrixx(j,i) = (matrixx(j+1,i-1) - matrixx(j,i-1))/(matrixx(i+j-2,1)-matrixx(j,1))
end
end
Y = matrixx
endfunction |
f025c297ad5eb2a518fdf0419a320ca11261f850 | 717ddeb7e700373742c617a95e25a2376565112c | /3044/CH4/EX4.11/Ex4_11.sce | 715dc913c33037219d3dafae66bd3a6739ff76c6 | [] | no_license | appucrossroads/Scilab-TBC-Uploads | b7ce9a8665d6253926fa8cc0989cda3c0db8e63d | 1d1c6f68fe7afb15ea12fd38492ec171491f8ce7 | refs/heads/master | 2021-01-22T04:15:15.512674 | 2017-09-19T11:51:56 | 2017-09-19T11:51:56 | 92,444,732 | 0 | 0 | null | 2017-05-25T21:09:20 | 2017-05-25T21:09:19 | null | UTF-8 | Scilab | false | false | 434 | sce | Ex4_11.sce | //Variable Declaration
N = 20 // Total car chargers
n = 10 // Number of selected car chargers
a = 5 // Defective car chargers
//Calculation
// As we know, for hypergeometric distribution, mean = (n*a)/N
Mean=((n*a))/N // Mean of probability distribution of number of defectives
//Results
printf ( "mean of probability distribution of the number of defectives in a sample of 10 car chargers: %.2f",Mean)
|
e1f8939bd9400f4b40a2f77c93e81d7f99a7aac9 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1382/CH2/EX2.9.a/EX_2_9_A.SCE | 883dbb7dd8f2050c58d14a20b22cf9e0406a0ec1 | [] | 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 | 281 | sce | EX_2_9_A.SCE | // Example 2.9.a: Calculate base current
Vcc=20;// Colector voltage in volts
Rb= 200;// in kilo ohms
Beta=75;//Common emitter D.C. Current gain
Rc=0.8;// Collector resistance in killo ohms
Vbe= 0;// Base to emitter voltage in volts
Ib=Vcc/Rb;
disp(Ib,"Base current in mA")
|
97c32832edb96751d192f6ea12e3a05cca99afc9 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2753/CH3/EX3.15/Ex3_15.sce | 526e7318ded1d8d4d4caedd539d014904751e81d | [] | 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 | 319 | sce | Ex3_15.sce | //Example 3.15:
clc;
clear;
close;
//given data :
format('v',5)
Ie=9.6;//emitter current in mA
Ib=0.08;//base current in mA
Ic=Ie-Ib;//
format('v',5)
disp(Ic,"(a). collector current,Ic(mA) = ")
alfa=Ic/Ie;
format('v',5)
disp(alfa,"(b). alfa = ")
alfa=0.99;//
Beta=alfa/(1-alfa)
format('v',4)
disp(Beta,"(c). Beta = ")
|
c92933989d153488776bb44ee01796a6eb4cdebf | 449d555969bfd7befe906877abab098c6e63a0e8 | /3250/CH3/EX3.12/Ex3_12.sce | 9d8acf7730d7094257700b042e288216d90da632 | [] | 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 | 654 | sce | Ex3_12.sce | clc
// Given that
d = 50 // Diameter of the steel sheet in mm
t = 3 // Thickness of the steel sheet in mm
e = 1.75 // True fracture strain
Y = 2.1e3 // True fracture stress for the material in N/mm^2
// Sample Problem 12 on page no. 149
printf("\n # PROBLEM 3.12 # \n")
C_0 = (t/(1.36*exp(e)))*((2*exp(e))-1)/((2.3*exp(e))-1)
p = t*(1/2.45)*((1.9*exp(e))-1)/((2.56*exp(e))-1)
F = Y*C_0*%pi*d
W = (1/2)*(F)*(p)*(10^-3)
printf("\n The proper clearance between die and punch = %f mm, \n Maximum punching force = %f N, \n Energy required to punch the hole = %f J",C_0,F/1000,W)
// Answer in the book given as 45.74 J for energy required to punch the hole
|
d62c8614940bd3504e08ca2fd67d69796b7db915 | 8217f7986187902617ad1bf89cb789618a90dd0a | /browsable_source/2.4.1/Unix-Windows/scilab-2.4.1/macros/m2sci/sci_quit.sci | 20e011576743154469d45c2177a70f83f069df3e | [
"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 | 101 | sci | sci_quit.sci | function [stk,txt,top]=sci_quit()
// Copyright INRIA
txt=['quit']
stk=list(' ','-1','?','?','?')
|
b31bc002b6fb47142f8bc2346847e7ada3d7c61f | 449d555969bfd7befe906877abab098c6e63a0e8 | /1574/CH1/EX1.5/Signals_Ex_1_5.sce | 1affce8b21c3e6f1aaf4672f3ef585b4f333c276 | [] | 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 | 894 | sce | Signals_Ex_1_5.sce | clc
//Chapter 1 Signals
//Example 1.5, page no 19
//given
T=1,t0=0,wo=2*%pi
P=1
t=0:0.001:1
f=P*t
//The trigonometric Fourier series coeff for given function
a0=(1/T)*inttrap(t,f)
for n=1:10
f1=(P*t).*cos(wo*n*t)
a(n)=(2/T)*inttrap(t,f1)
if a(n)<0.01 then
a(n)=0
end
end
for n=1:10
f2=(P*t).*sin(2*%pi*(1/T)*n*t)
b(n)=(2/T)*inttrap(t,f2)
end
// Displaying trigonometric Fourier series coeff
mprintf('The value of a0 is: %f\n',a0)
disp('The values of a(n): (upto n=10)')
for n=1:10
disp(a(n))
end
disp('The values of b(n): (upto n=10)')
for n=1:10
disp(b(n))
end
mprintf('The trigonometric Fourier series for given function\n can be written as:\n')
mprintf('f(t)=%f%fsin(2*pi*t)%fsin(4*pi*t)\n%fsin(6*pi*t)%fsin(8*pi*t)%fsin(10*pi*t)\n%fsin(12*pi*t)%fsin(14*pi*t).......',b(1),b(2),b(3),b(4),b(5),b(6),b(7),b(8))
|
b6428504ac4ef9a0fcb2c1485dce79995b3f375a | 449d555969bfd7befe906877abab098c6e63a0e8 | /548/CH6/EX6.9/6_09.sce | b5388a5ed033dfc0df68d64822687d673749991b | [] | 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 | 6_09.sce | pathname=get_absolute_file_path('6_09.sce')
filename=pathname+filesep()+'6_09data.sci'
exec(filename)
V1=sqrt(2*Wl*cos(a)/(D1*Cl));disp(V1,"V1=","V1=sqrt(2*Wl*cos(a)/(D1*Cl))","For altitude 3048 meter:")
V2=sqrt(2*Wl*cos(a)/(D2*Cl));disp(V2,"V2=","V2=sqrt(2*Wl*cos(a)/(D2*Cl))","For altitude 609.6 meter:")
printf("\Answer:\n")
printf("\Velocity at equilibrium glide angle at 3048 m: %f m/s\n",V1)
printf("\n\Velocity at equilibrium glide angle at 609.6 m: %f m/s\n\n",V2) |
2b81e93253fbb4823ef1de7d98c5f84e63ed9f3c | 1bb72df9a084fe4f8c0ec39f778282eb52750801 | /test/TE45.prev.tst | e4653f163258f7683f1265caba7800702451d72e | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | gfis/ramath | 498adfc7a6d353d4775b33020fdf992628e3fbff | b09b48639ddd4709ffb1c729e33f6a4b9ef676b5 | refs/heads/master | 2023-08-17T00:10:37.092379 | 2023-08-04T07:48:00 | 2023-08-04T07:48:00 | 30,116,803 | 2 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 5,078 | tst | TE45.prev.tst | TranspositionSet={[0,2,1,3],[1,0,2,3],[1,2,0,3],[2,1,0,3],[2,0,1,3]}
considerNonPrimitive
Expanding for base=2, level=3, reasons+features=base,transpose,primitive,same,similiar,evenexp invall,norm
Refined variables=a,b,c,d
[0+1a,0+1b,0+1c,0+1d]: unknown -> [1] [0,0,0,0] a⁴+b⁴+c⁴-d⁴
-> solution [0,0,0,0],trivial(3) [1,0,0,1],trivial(3) [0,1,0,1],trivial(3) [0,0,1,1],trivial(3)
---------------- level 0
expanding queue[0]^-1,meter=[2,2,2,2]: a⁴+b⁴+c⁴-d⁴
[0+2a,0+2b,0+2c,0+2d]: non-primitive
-> solution [0,0,0,0],trivial(3) [2,0,0,2],trivial(3) [0,2,0,2],trivial(3) [0,0,2,2],trivial(3)
[1+2a,0+2b,0+2c,1+2d]: unknown -> [1] [1,0,0,1] a+3a²+4a³+2a⁴+2b⁴+2c⁴-d-3d²-4d³-2d⁴
-> solution [1,0,0,1],trivial(3) [3,0,0,3],trivial(3)
[0+2a,1+2b,0+2c,1+2d]: transposed [1] by [2,0,1,3]
[0+2a,0+2b,1+2c,1+2d]: transposed [1] by [2,1,0,3]
endexp[0]
---------------- level 1
expanding queue[1]^0,meter=[2,2,2,2]: a+3a²+4a³+2a⁴+2b⁴+2c⁴-d-3d²-4d³-2d⁴
[1+4a,0+4b,0+4c,1+4d]: unknown -> [2] [0,0,0,0] a+6a²+16a³+16a⁴+16b⁴+16c⁴-d-6d²-16d³-16d⁴
-> solution [1,0,0,1],trivial(3) [5,0,0,5],trivial(3)
[3+4a,0+4b,0+4c,1+4d]: negative-1 [2] by {a=>-a-1}
[1+4a,2+4b,0+4c,1+4d]: unknown -> [3] [0,1,0,0] a+6a²+16a³+16a⁴+8b+24b²+32b³+16b⁴+16c⁴-d-6d²-16d³-16d⁴+1
[3+4a,2+4b,0+4c,1+4d]: negative-1 [3] by {a=>-a-1}
[1+4a,0+4b,2+4c,1+4d]: transposed [3] by [0,2,1,3]
[3+4a,0+4b,2+4c,1+4d]: negative-1 [3] by {a=>-a-1}
[1+4a,2+4b,2+4c,1+4d]: unknown -> [4] [0,1,1,0] a+6a²+16a³+16a⁴+8b+24b²+32b³+16b⁴+8c+24c²+32c³+16c⁴-d-6d²-16d³-16d⁴+2
[3+4a,2+4b,2+4c,1+4d]: negative-1 [4] by {a=>-a-1}
[1+4a,0+4b,0+4c,3+4d]: negative-1 [4] by {d=>-d-1}
[3+4a,0+4b,0+4c,3+4d]: negative-1 [4] by {a=>-a-1,d=>-d-1}
-> solution [3,0,0,3],trivial(3) [7,0,0,7],trivial(3)
[1+4a,2+4b,0+4c,3+4d]: negative-1 [4] by {d=>-d-1}
[3+4a,2+4b,0+4c,3+4d]: negative-1 [4] by {a=>-a-1,d=>-d-1}
[1+4a,0+4b,2+4c,3+4d]: negative-1 [4] by {d=>-d-1}
[3+4a,0+4b,2+4c,3+4d]: negative-1 [4] by {a=>-a-1,d=>-d-1}
[1+4a,2+4b,2+4c,3+4d]: negative-1 [4] by {d=>-d-1}
[3+4a,2+4b,2+4c,3+4d]: negative-1 [4] by {a=>-a-1,d=>-d-1}
endexp[1]
---------------- level 2
expanding queue[2]^1,meter=[2,2,2,2]: a+6a²+16a³+16a⁴+16b⁴+16c⁴-d-6d²-16d³-16d⁴
[1+8a,0+8b,0+8c,1+8d]: unknown -> [5] [0,0,0,0] a+12a²+64a³+128a⁴+128b⁴+128c⁴-d-12d²-64d³-128d⁴
-> solution [1,0,0,1],trivial(3) [9,0,0,9],trivial(3)
[1+8a,4+8b,0+8c,1+8d]: unknown -> [6] [0,1,0,0] a+12a²+64a³+128a⁴+64b+192b²+256b³+128b⁴+128c⁴-d-12d²-64d³-128d⁴+8
[1+8a,0+8b,4+8c,1+8d]: transposed [6] by [0,2,1,3]
[1+8a,4+8b,4+8c,1+8d]: unknown -> [7] [0,1,1,0] a+12a²+64a³+128a⁴+64b+192b²+256b³+128b⁴+64c+192c²+256c³+128c⁴-d-12d²-64d³-128d⁴+16
[5+8a,0+8b,0+8c,5+8d]: unknown -> [8] [1,0,0,1] 125a+300a²+320a³+128a⁴+128b⁴+128c⁴-125d-300d²-320d³-128d⁴
-> solution [5,0,0,5],trivial(3) [13,0,0,13],trivial(3)
[5+8a,4+8b,0+8c,5+8d]: unknown -> [9] [1,1,0,1] 125a+300a²+320a³+128a⁴+64b+192b²+256b³+128b⁴+128c⁴-125d-300d²-320d³-128d⁴+8
[5+8a,0+8b,4+8c,5+8d]: transposed [9] by [0,2,1,3]
[5+8a,4+8b,4+8c,5+8d]: unknown -> [10] [1,1,1,1] 125a+300a²+320a³+128a⁴+64b+192b²+256b³+128b⁴+64c+192c²+256c³+128c⁴-125d-300d²-320d³-128d⁴+16
endexp[2]
expanding queue[3]^1,meter=[2,2,2,2]: a+6a²+16a³+16a⁴+8b+24b²+32b³+16b⁴+16c⁴-d-6d²-16d³-16d⁴+1
[5+8a,2+8b,0+8c,1+8d]: unknown -> [11] [1,0,0,0] 125a+300a²+320a³+128a⁴+8b+48b²+128b³+128b⁴+128c⁴-d-12d²-64d³-128d⁴+20
[5+8a,6+8b,0+8c,1+8d]: negative-1 [11] by {b=>-b-1}
[5+8a,2+8b,4+8c,1+8d]: unknown -> [12] [1,0,1,0] 125a+300a²+320a³+128a⁴+8b+48b²+128b³+128b⁴+64c+192c²+256c³+128c⁴-d-12d²-64d³-128d⁴+28
[5+8a,6+8b,4+8c,1+8d]: negative-1 [12] by {b=>-b-1}
[1+8a,2+8b,0+8c,5+8d]: unknown -> [13] [0,0,0,1] a+12a²+64a³+128a⁴+8b+48b²+128b³+128b⁴+128c⁴-125d-300d²-320d³-128d⁴-19
[1+8a,6+8b,0+8c,5+8d]: negative-1 [13] by {b=>-b-1}
[1+8a,2+8b,4+8c,5+8d]: unknown -> [14] [0,0,1,1] a+12a²+64a³+128a⁴+8b+48b²+128b³+128b⁴+64c+192c²+256c³+128c⁴-125d-300d²-320d³-128d⁴-11
[1+8a,6+8b,4+8c,5+8d]: negative-1 [14] by {b=>-b-1}
endexp[3]
expanding queue[4]^1,meter=[2,2,2,2]: a+6a²+16a³+16a⁴+8b+24b²+32b³+16b⁴+8c+24c²+32c³+16c⁴-d-6d²-16d³-16d⁴+2
[1+8a,2+8b,2+8c,1+8d]: unknown -> [15] [0,0,0,0] a+12a²+64a³+128a⁴+8b+48b²+128b³+128b⁴+8c+48c²+128c³+128c⁴-d-12d²-64d³-128d⁴+1
[1+8a,6+8b,2+8c,1+8d]: negative-1 [15] by {b=>-b-1}
[1+8a,2+8b,6+8c,1+8d]: negative-1 [15] by {c=>-c-1}
[1+8a,6+8b,6+8c,1+8d]: negative-1 [15] by {b=>-b-1,c=>-c-1}
[5+8a,2+8b,2+8c,5+8d]: unknown -> [16] [1,0,0,1] 125a+300a²+320a³+128a⁴+8b+48b²+128b³+128b⁴+8c+48c²+128c³+128c⁴-125d-300d²-320d³-128d⁴+1
[5+8a,6+8b,2+8c,5+8d]: negative-1 [16] by {b=>-b-1}
[5+8a,2+8b,6+8c,5+8d]: negative-1 [16] by {c=>-c-1}
[5+8a,6+8b,6+8c,5+8d]: negative-1 [16] by {b=>-b-1,c=>-c-1}
endexp[4]
---------------- level 3
Maximum level 3 [17] mod 2: a⁴+b⁴+c⁴-d⁴
|
c434fcec99ff052b36ff9d71f8cac7c6058ba5b0 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3363/CH4/EX4.6/Ex4_6.sce | 67877d30aceef83819998a9d14d829902dd3dc3b | [] | 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 | 221 | sce | Ex4_6.sce | //Example 4.6, Page 120
clc
rho=9*10^9//in nt-m2/coul2
m=9.11*10^-31//in kg
e=1.6*10^-19//coul
h=1.05*10^-34//in j-sec
E=-(rho*m*e^4)/(2*h^2)
printf("\n Binding energy is %e Joule ",E)
//Answer given in the book is wrong |
86b7d569092240a91fe1cdacf757c7799f68f5e8 | 449d555969bfd7befe906877abab098c6e63a0e8 | /68/CH5/EX5.13/ex13.sce | 95ad001b6223228438ed30254c83a8715c82b550 | [] | 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 | 635 | sce | ex13.sce | // Example 5.13 : Design of bias network of the amplifier
I_E=1*10^-3; // (A)
V_CC=12; // (V)
B=100; // beta value
V_B=4; // (V)
V_BE=0.7; // (V)
R1=80; // (ohm)
R2=40; // (ohm)
V_C=8; // (V)
V_E=V_B-V_BE;
disp(V_E,"Emitter voltage (V)")
R_E=V_E/I_E;
disp(R_E,"Emitter resistance (ohm)")
I_E=(V_B-V_BE)/(R_E+(R1*R2/(R1+R2))/(B+1));
disp(I_E,"more accurate value for I_E (A) for R1=80 ohm and R2=40 ohm")
R1=8; // (ohm)
R2=4; // (ohm)
I_E=(V_B-V_BE)/(R_E+(R1*R2/(R1+R2))/(B+1));
disp(I_E,"more accurate value for I_E (A) for R1=8 ohm and R2=4 ohm")
R_C=(V_CC-V_C)/I_E; // I_E=I_C
disp(R_C,"Collector resistor (ohm)") |
a3e5255a7d179a3a2c18c388b8c29eeab49a5fc8 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2096/CH7/EX7.3/ex_7_3.sce | f561b7ab2df1df741e91c9696c28910253dc217a | [] | 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 | 224 | sce | ex_7_3.sce |
//Example 7.3 // resistance
clc;
clear;
close;
//given data :
R25=100; // in ohm
alfa=-5/100;
T1=35; // in degree celcius
T2=25; // in degree celcius
R35=R25*(1+alfa*(T1-T2));
disp(R35,"resistance R35(ohm) = ")
|
f0d81ce025ea0e27497cb90699cbf3cfe0f04693 | 449d555969bfd7befe906877abab098c6e63a0e8 | /62/CH5/EX5.30/ex_5_30.sce | 0be672bd67a16c3786a44d18c6e91bb0a168352f | [] | 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 | 899 | sce | ex_5_30.sce | clear;
clc;
close;
dt=.1;
t=-10:dt:10;
u=[zeros(1,find(t==0)) ones(1,length(t)-find(t==0))];
a=gca();
plot(t,u);
poly1=a.children.children;
poly1.thickness=3;
poly1.foreground=2;
xtitle('u(t)','t');
u1=1/2;//even part
figure;
a=gca();
plot(t,u1*ones(1,length(t)));
poly1=a.children.children;
poly1.thickness=3;
poly1.foreground=2;
xtitle('even part of u(t)','t');
h=find(t==0);
u2=[-ones(1,h) ones(1,length(t)-h)];//odd part
figure;
a=gca();
plot(t,u2);
poly1=a.children.children;
poly1.thickness=3;
poly1.foreground=2;
xtitle('odd part of u(t)','t');
//u(t)=u1(t)+u2(t)
//.: U[w]=U1[w]+U2[w] i.e U[w]=%pi*delta(w)+1/(%i*w)
w=-10:0.1:10;
for i=1:length(w)
if w(i)==0 then
delta(i)=1;
else
delta(i)=0;
end
end
Uw=ones(1,length(w))./(%i*w)+%pi*delta';
figure;
a=gca();
plot2d(w,abs(Uw));
poly1=a.children.children;
poly1.thickness=3;
poly1.foreground=2;
xtitle('U(w)','w'); |
56e3dd9ed6c99a2783dabbdd30595b5f96f39ed2 | 1b969fbb81566edd3ef2887c98b61d98b380afd4 | /Rez/bivariate-lcmsr-post_mi/bfas_ci_hrz_ind_d/~BivLCM-SR-bfas_ci_hrz_ind_d-PLin-VLin.tst | 5b70e6a35e09912753893fc61c4659bdf6264b47 | [] | 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_ci_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 0.341591D+00
2 -0.422852D-02 0.273659D-02
3 0.410786D-01 -0.708117D-03 0.272634D+00
4 0.260713D-03 0.207649D-03 -0.257434D-02 0.231226D-02
5 -0.117304D-03 -0.615618D-04 0.539022D-03 -0.754045D-04 0.240862D-02
6 0.251199D-03 -0.594698D-04 0.203081D-03 -0.313628D-04 0.307777D-04
7 0.679921D-03 -0.380807D-04 0.401576D-04 -0.697245D-04 0.624992D-03
8 -0.147522D-02 0.162014D-03 -0.393405D-03 -0.627895D-04 0.148249D-03
9 -0.553893D+00 0.219497D-01 0.473204D-01 -0.299996D-01 0.165348D+00
10 -0.110684D+00 -0.956787D-02 0.210808D+00 -0.895985D-02 0.137689D+00
11 -0.121459D+00 0.828672D-02 -0.364051D-01 0.259912D-02 0.682261D-02
12 0.494715D+00 0.186484D-01 -0.775600D+00 0.661908D-01 0.750045D-02
13 -0.616047D-01 -0.633407D-02 0.189081D-01 -0.377084D-02 0.325890D-01
14 -0.392455D+00 0.181582D-01 -0.708160D+00 -0.291749D-02 0.182891D-01
15 -0.183560D+01 -0.637448D-01 0.561986D-01 0.836274D-02 -0.134060D+00
16 -0.438525D-01 -0.281786D-02 0.933704D-02 0.808435D-03 0.289024D-02
17 0.980882D-02 0.390955D-03 0.145408D-02 0.304572D-03 -0.654777D-03
18 0.406738D+00 0.106738D-01 -0.255262D+00 -0.111924D-01 -0.539785D-01
19 0.304677D-01 0.913068D-02 0.735222D-01 -0.451381D-02 -0.750699D-02
20 0.146677D-01 -0.302357D-02 -0.106748D+01 -0.169550D-01 -0.125974D-01
21 0.626108D-02 -0.759857D-02 -0.737982D-01 0.860741D-02 0.731185D-02
22 -0.135843D-02 0.183397D-03 0.308639D-02 0.294611D-03 0.549834D-04
23 0.981687D-02 0.108910D-02 0.145173D-01 -0.840734D-02 0.138304D-02
24 0.147916D-02 0.115167D-03 -0.268877D-02 0.306280D-03 -0.697415D-05
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
6 7 8 9 10
________ ________ ________ ________ ________
6 0.637501D-03
7 0.715613D-03 0.330377D-02
8 0.150142D-03 -0.429259D-04 0.216831D-02
9 0.478756D-01 0.144038D+00 0.392614D-01 0.111660D+03
10 -0.303841D-02 0.252725D-01 0.539858D-02 0.111095D+02 0.225647D+02
11 0.580733D-01 0.116177D+00 0.530767D-01 0.283719D+02 -0.666871D+00
12 -0.203063D-01 0.572908D-01 0.736481D-01 0.911074D+01 -0.281992D+01
13 0.417123D-01 0.107495D+00 -0.981723D-02 0.684682D+01 0.388597D+01
14 0.104035D-01 0.244411D-01 0.199615D+00 0.900204D+01 0.397580D+01
15 -0.357814D-01 -0.826553D-01 -0.544246D-01 -0.190299D+02 -0.153752D+02
16 0.607088D-03 0.226125D-02 0.970396D-03 0.167363D+01 0.109735D+00
17 -0.203536D-04 -0.204512D-03 -0.243250D-04 -0.323120D+00 -0.419110D-01
18 -0.257863D-01 -0.906419D-01 -0.188798D-01 -0.105924D+02 -0.276247D+01
19 -0.311978D-02 0.262353D-01 0.702096D-03 -0.573392D-01 -0.128476D+01
20 -0.446187D-03 0.161313D-01 -0.127533D+00 -0.475286D+01 -0.301096D+00
21 0.477382D-02 -0.249202D-01 -0.876486D-03 0.326241D+00 0.109451D+01
22 -0.293893D-03 -0.445205D-03 -0.170833D-03 -0.383078D-01 -0.111068D-01
23 0.126466D-03 0.142109D-02 0.188677D-02 -0.298446D-01 -0.165185D-01
24 -0.120852D-03 -0.629639D-03 -0.474842D-03 -0.207635D-01 0.620702D-02
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
11 12 13 14 15
________ ________ ________ ________ ________
11 0.516613D+02
12 0.141423D+02 0.223046D+03
13 0.181282D+01 0.580864D+00 0.156124D+02
14 0.521838D+01 0.169736D+02 0.310887D+01 0.659624D+02
15 -0.348570D+01 0.127119D+02 -0.321931D+01 -0.515637D+01 0.294856D+03
16 -0.312855D-01 0.234109D+00 0.525627D-01 0.172129D+00 0.229636D+01
17 -0.382854D-01 -0.166462D-01 -0.167092D-01 -0.459165D-01 -0.136072D+01
18 -0.521586D+01 0.274922D+01 -0.592145D+01 -0.360967D+01 0.132556D+02
19 0.202357D+01 0.132666D+01 -0.121344D-01 -0.495471D+00 0.100808D+01
20 -0.354365D+01 -0.406722D+02 -0.490557D+00 -0.265568D+02 -0.442479D+01
21 -0.138894D+01 -0.944119D+00 -0.131602D+00 0.419625D+00 -0.176277D+01
22 -0.958610D-01 0.573836D-01 -0.707144D-02 -0.267991D-01 -0.627599D-02
23 -0.766520D-02 0.230498D+00 -0.533360D-01 0.257158D+00 -0.613813D+00
24 -0.276564D-01 -0.508428D-01 -0.737555D-02 -0.732260D-01 0.965313D-01
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
16 17 18 19 20
________ ________ ________ ________ ________
16 0.604440D+00
17 -0.562337D-01 0.184789D-01
18 -0.579754D+00 -0.643392D-02 0.127104D+03
19 -0.668494D-03 0.175614D-03 -0.307291D+00 0.490077D+01
20 -0.714209D+00 0.138532D+00 0.153442D+02 0.143085D+01 0.239073D+03
21 0.922130D-01 -0.598182D-02 0.142426D+01 -0.454570D+01 -0.154012D+01
22 -0.101235D-02 0.106280D-02 -0.528966D+00 -0.134786D-01 -0.720468D-01
23 -0.222679D-01 0.691992D-02 -0.150425D+00 0.939332D-01 0.271364D+01
24 0.663740D-02 -0.139677D-02 -0.385731D-01 -0.257934D-01 -0.123716D+01
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
21 22 23 24
________ ________ ________ ________
21 0.513357D+01
22 -0.161500D-01 0.671361D-02
23 -0.715738D-01 -0.847433D-03 0.431025D+00
24 0.245441D-01 0.666693D-03 -0.384209D-01 0.156764D-01
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
1 2 3 4 5
________ ________ ________ ________ ________
1 1.000
2 -0.138 1.000
3 0.135 -0.026 1.000
4 0.009 0.083 -0.103 1.000
5 -0.004 -0.024 0.021 -0.032 1.000
6 0.017 -0.045 0.015 -0.026 0.025
7 0.020 -0.013 0.001 -0.025 0.222
8 -0.054 0.067 -0.016 -0.028 0.065
9 -0.090 0.040 0.009 -0.059 0.319
10 -0.040 -0.039 0.085 -0.039 0.591
11 -0.029 0.022 -0.010 0.008 0.019
12 0.057 0.024 -0.099 0.092 0.010
13 -0.027 -0.031 0.009 -0.020 0.168
14 -0.083 0.043 -0.167 -0.007 0.046
15 -0.183 -0.071 0.006 0.010 -0.159
16 -0.097 -0.069 0.023 0.022 0.076
17 0.123 0.055 0.020 0.047 -0.098
18 0.062 0.018 -0.043 -0.021 -0.098
19 0.024 0.079 0.064 -0.042 -0.069
20 0.002 -0.004 -0.132 -0.023 -0.017
21 0.005 -0.064 -0.062 0.079 0.066
22 -0.028 0.043 0.072 0.075 0.014
23 0.026 0.032 0.042 -0.266 0.043
24 0.020 0.018 -0.041 0.051 -0.001
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
6 7 8 9 10
________ ________ ________ ________ ________
6 1.000
7 0.493 1.000
8 0.128 -0.016 1.000
9 0.179 0.237 0.080 1.000
10 -0.025 0.093 0.024 0.221 1.000
11 0.320 0.281 0.159 0.374 -0.020
12 -0.054 0.067 0.106 0.058 -0.040
13 0.418 0.473 -0.053 0.164 0.207
14 0.051 0.052 0.528 0.105 0.103
15 -0.083 -0.084 -0.068 -0.105 -0.188
16 0.031 0.051 0.027 0.204 0.030
17 -0.006 -0.026 -0.004 -0.225 -0.065
18 -0.091 -0.140 -0.036 -0.089 -0.052
19 -0.056 0.206 0.007 -0.002 -0.122
20 -0.001 0.018 -0.177 -0.029 -0.004
21 0.083 -0.191 -0.008 0.014 0.102
22 -0.142 -0.095 -0.045 -0.044 -0.029
23 0.008 0.038 0.062 -0.004 -0.005
24 -0.038 -0.087 -0.081 -0.016 0.010
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
11 12 13 14 15
________ ________ ________ ________ ________
11 1.000
12 0.132 1.000
13 0.064 0.010 1.000
14 0.089 0.140 0.097 1.000
15 -0.028 0.050 -0.047 -0.037 1.000
16 -0.006 0.020 0.017 0.027 0.172
17 -0.039 -0.008 -0.031 -0.042 -0.583
18 -0.064 0.016 -0.133 -0.039 0.068
19 0.127 0.040 -0.001 -0.028 0.027
20 -0.032 -0.176 -0.008 -0.211 -0.017
21 -0.085 -0.028 -0.015 0.023 -0.045
22 -0.163 0.047 -0.022 -0.040 -0.004
23 -0.002 0.024 -0.021 0.048 -0.054
24 -0.031 -0.027 -0.015 -0.072 0.045
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
16 17 18 19 20
________ ________ ________ ________ ________
16 1.000
17 -0.532 1.000
18 -0.066 -0.004 1.000
19 0.000 0.001 -0.012 1.000
20 -0.059 0.066 0.088 0.042 1.000
21 0.052 -0.019 0.056 -0.906 -0.044
22 -0.016 0.095 -0.573 -0.074 -0.057
23 -0.044 0.078 -0.020 0.065 0.267
24 0.068 -0.082 -0.027 -0.093 -0.639
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
21 22 23 24
________ ________ ________ ________
21 1.000
22 -0.087 1.000
23 -0.048 -0.016 1.000
24 0.087 0.065 -0.467 1.000
|
205b38bc9d12b0d2abb291b89e81d6b6e3fcd01f | 449d555969bfd7befe906877abab098c6e63a0e8 | /671/CH6/EX6.20/6_20.sce | 71b4ece4467302e90de7c279de1b94cca1d19e67 | [] | 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 | 430 | sce | 6_20.sce | Ig1=15000/sqrt(3)/800/0.8
PG1=15000
QG1=15000*tan(acos(0.8))
SG1=PG1+%i*QG1
Pll=3*Ig1*Ig1*1.2
Qll=3*Ig1*Ig1*1.8
Sll=Pll+%i*Qll
SlG1=SG1-Sll
Vl=SlG1/sqrt(3)/Ig1
Pl=30000
Ql=30000*tan(acos(0.8))
PlG2=Pl-real(SlG1)
QlG2=Ql-imag(SlG1)
SlG2=PlG2+%i*QlG2
IG2=SlG2/sqrt(3)/Vl
Pll2=3*IG2*IG2*0.8
Qll2=3*IG2*IG2*1.2
PG2=PlG2+Pll2
QG2=QlG2+Qll2
SG2=PG2+%i*QG2
VG2=SG2/sqrt(3)/IG2
disp(norm(SG2),norm(VG2)) |
ed83ff39422270acf2f1c6b8dfdb5d022bb888a1 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2168/CH9/EX9.2/Chapter9_example2.sce | 351f6f8fe423ae793db68b9683c649bb7499c2f0 | [] | 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 | 492 | sce | Chapter9_example2.sce | clc
clear
//Input data
d1=0.075//Throat diameter in m
Ca=0.93//Coefficient of air flow
d2=0.005//Orifice diameter in m
Cf=0.68//Coefficient of fuel discharge
ap=1//Approach factor
dp=0.15//Pressure drop in kg/cm^2
da=1.29//Density of air in kg/m^3
df=720//Density of fuel in kg/m^3
//Calcultions
w=(((3.14/4)*d1^2)/((3.14/4)*d2^2))*(Ca/Cf)*sqrt(da/df)//The air-fuel ratio neglecting the nozzle lip
//Output
printf('The air-fuel ratio neglecting the nozzle lip is %3.1f',w)
|
786e6c865e728061941a6ed26fc69a91745f3b73 | 623a9dd972dc78dbde5d5b8dc187acd6a1eb5910 | /TP4/ejercicio6.sce | 72dec357de103cb603ba70c2567d3fe8982ebbc8 | [] | no_license | gtessi/CN2012-FICH | 0daad054ceb6c36636ee5e8b174a676b9e0acb9b | 4024384653b61b5af9e1c11ffb575e154025ee47 | refs/heads/master | 2020-03-27T05:53:04.684505 | 2018-08-25T03:03:15 | 2018-08-25T03:03:15 | 146,059,800 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 1,192 | sce | ejercicio6.sce | //Funciones
function y = h(t)
h0=300; //altura inicial
g=32.17; //fuerza de gravedad
k=0.1; //resistencia viscosa
m=0.25; //masa del cuerpo
factor=m/k;
y=h0-(g*factor)*t+(g*factor^2)*(1-exp(-t/factor));
endfunction
//Derivadas
function y = dh(t)
g=32.17; //fuerza de gravedad
k=0.1; //resistencia viscosa
m=0.25; //masa del cuerpo
factor=m/k;
y=factor*g*(exp(-t/factor)-1);
endfunction
function [raiz,datos] = ejercicio6()
//Metodos
exec biseccion.sci
exec newton.sci;
//Variables globales
tol=1E-2; //precision de 0.01s
maxit=20;
pini=0; //aproximación inicial
//Calculos
//Aplicamos el Metodo de la Biseccion con 2 iteraciones para obtener un punto inicial
//Definimos intervalos
xmin=0; //No existe tiempo negativo
xmax=20; //Limite de tiempo para que toque el suelo
[pini,r]=biseccion(h,xmin,xmax,3,tol);
//Luego de obtener un punto inicial aproximado, aplicamos el Metodo de Newton
[raiz,datos]=newton(h,dh,pini,maxit,tol);
//Graficos
figure(1);
plot2d("nl",datos,style=5);
legend(['newton'],1);
endfunction |
1b9a3538b695da1300fab182a13f8a3a671b4558 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2354/CH17/EX17.1/17_1.sce | 44703847d5283935ebba5e45deec732204f3ed96 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 159 | sce | 17_1.sce | //example 17.1
clc; funcprot(0);
// Initialization of Variable
k=integrate('x^-0.1','x',0,1);
disp(k,"ratio of average convection coefficient");
clear()
|
becc5457df24364fba0785fe5c7e2a041c159516 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3422/CH6/EX6.6/Ex6_6.sce | 3501a26737ca3958a6ab212b366e85ca6e5686d8 | [] | 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 | Ex6_6.sce | //Example 6.6, Page 138
clc
pf=.85
N1=1500//in rpm
N=1440//in rpm
P=pf*230*10*sqrt(3)
p_stator_loss=86.16//in w
p_rotor=P-p_stator_loss
rotor_copper_loss=((N1-N)/N1)*p_rotor
printf("The rotor copper loss is %f watt",rotor_copper_loss)
inertia=.0486//in kg-m2
E=2*.96*inertia*((2*%pi*50)/2)**2
disp(E)
stops_starts=7920/E
printf("Total number of starts and stops is %d",stops_starts)
|
1c3681eee326b21ee9aba87a29a806b411159e97 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3822/CH11/EX11.5/Ex11_5.sce | 1c27852de516888af087dac57dec9979a866fe14 | [] | 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 | 1,104 | sce | Ex11_5.sce |
//OptoElectronics and Fibre Optics Communication, by C.K Sarkar and B.C Sarkar
//Example 11.5
//OS=Windows 10
////Scilab version Scilab 6.0.0-beta-2(64 bit)
clc;
clear;
//given
n1=1.45//refractive index of core
delta=0.01;//relative refractive index difference
Br=100e6;//data rate in bps
C=3e8// velocity of light in m/s
delta_ts=8e-9//silica fiber link rise time in s
lambda=830e-9//wavelength in m
delta_lambda=40e-9//spectral width in m
delta_tr=10e-9//rise time in 10ns
M=0.024//silica fiber parameter
L=2.5e3//length of link in m
delta_tmodal=3.5e-9*L/1e3//intermodal dispersion delay in s
delta_tmat=(-L/C)*(delta_lambda/lambda)*(M)//material dispersion in s
delta_tsys=1.1*sqrt(delta_ts^2+delta_tr^2+delta_tmat^2+delta_tmodal^2)//system delay in s
BT=0.7/delta_tsys//Max bit rate for RZformat
mprintf("\n Max bit rate for RZ format is=%.2fx10^6 bps",BT/1e6);//division by1e6 to convert the unit from bps to *10^6
BT=0.35/delta_tsys//Max bit rate for NRZformat
mprintf("\n Max bit rate for NRZ format is=%.2fx10^6 bps",BT/1e6);
// the answer differ because of roundoff
|
0a28ec742750be2b3c1f3ba9c22a62b793f4536b | 449d555969bfd7befe906877abab098c6e63a0e8 | /149/CH21/EX21.15.1/ques15_1.sce | b7316d1ad52b9b4d0398e0f4116166326302ff80 | [] | 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 | 151 | sce | ques15_1.sce | //no outp
//ques15
disp('To find the inverse laplace transform of the function');
syms s t a
f=1/(s*(s^2+a^2));
il=ilaplace(f,s,t);
disp(il);
|
c81d4e1afe9fa6158885364b7ac3479a62300b16 | 449d555969bfd7befe906877abab098c6e63a0e8 | /623/CH2/EX2.1.1/U2_C1_1.sce | d774105f9a7cf6bce4570107728b97ab2c6a98df | [] | 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 | U2_C1_1.sce | //variable initialization
c1=0.01
c2=0.1
c3=1
c4=10
b=2.898*10^-3; //Wien's constant (meter-kelvin)
h=(6.625*10^-34)/(2*%pi); //Planck's constant (joule-second)
c=3*10^8; //speed of light (meter/second)
k=1.38*10^-23; //Boltzmann constant (joule/kelvin)
T=3000 //Temperature of black body (kelvin)
Delta_lembda=1*10^-9; //wavelength interval (meter)
//(a)Average energy of Planck's oscillator:
E1=c1/(%e^c1-1); //Average energy of Planck's oscillator
E2=c2/(%e^c2-1); //Average energy of Planck's oscillator
E3=c3/(%e^c3-1); //Average energy of Planck's oscillator
E4=c4/(%e^c4-1); //Average energy of Planck's oscillator
//(b)Power radiated by a unit area of a black body
P=(4*%pi^2*h*c^2*T^5*Delta_lembda)/(b^5*((%e^((2*%pi*h*c)/(b*k)))-1)); //The power radiated per unit area (watt/meter^2)
printf("\n(a) The average energy of Planck`s oscillator:\n\t (i) Energy = %.3f kT\n\t (ii) Energy = %.2f kT\n\t (iii) Energy = %.2f kT\n\t (iv) Energy = %.5f kT\n\t k: Boltzmann constant = %.2e joule/kelvin T: Temperature\n(b) The power radiated per unit area = %.2f watt/meter^2",E1,E2,E3,E4,k,P);
|
79e18178b1a61b38e407e6855a50e5564590f2ba | 4de5902eb8d208787eeb79a140ed17038c2f1cdf | /Test.sce | 1e6afd729da324ac7e22f56110992268c9f81225 | [] | no_license | NovikovAAA/SciImager | d32d14537ce0b2d51ad03f8a9ae60e07148fe874 | 5988f7fe74d242e771e84ea377c1fb3f34c2c057 | refs/heads/master | 2020-08-09T01:02:04.096474 | 2020-06-29T08:15:45 | 2020-06-29T08:15:45 | 213,961,823 | 0 | 0 | null | 2020-06-29T08:15:47 | 2019-10-09T15:57:57 | Java | UTF-8 | Scilab | false | false | 794 | sce | Test.sce | C = zeros(3,200*200*3);
C(2, 1) = 200;
C(3, 1) = 200;
C2 = C;
printf('%d', C2(2, 1));
printf('%d', C2(3, 1));
for i=0:C(2.1)-1
for j=0:C(3,1)-1
index = (i * C2(3, 1) + j) * 3;
ITER = 20;
current = ITER;
x = double(i);
y = double(j);
z = complex(0, 0);
c = complex((x - double(C(2, 1)) / 2) / 50.0, (y - double(C(3, 1)) / 2) / 50.0);
for k = 1:ITER
z = z * z + c;
r = real(z);
img = imag(z);
len = sqrt(r * r + img * img);
if len > 16 then
current = k;
break;
end;
end;
red = 0.1 + current / ITER * 0.2;
green = 0.2 + current / ITER * 0.3;
blue = 0.3 + current / ITER * 0.1;
C2(1, index +1) = uint8(blue * 255);
C2(1, index + 2) = uint8(green * 255);
C2(1, index + 3) = uint8(red * 255);
end;
end;
printf('Finish');
|
3c4d23d829e229433c10b904fbb7a7407d93c92c | 449d555969bfd7befe906877abab098c6e63a0e8 | /3681/CH5/EX5.18/Ex5_18.sce | 486fd901770f52918f74f5e10dc344bffb788d34 | [] | 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 | 1,337 | sce | Ex5_18.sce | // Calculating the maximum flux and no load current of the transformer
clc;
disp('Example 5.18, Page No. = 5.99')
// Given Data
Ep = 400;// Primary winding voltage (in volts)
f = 50;// Frequency (in Hz)
A = 2.5*10^(-3);// Area of cross section (in meter square)
Sf = 0.9;// Stacking factor
Tp = 800;// Primary winding turns
li = 2.5;// Length of the flux path (in meter)
u0 = 4*%pi*10^(-7);// Permeability of free space
ur = 1000;// Relative ermeability
D = 7.8*10^(3);// Density of iron (in kg per meter cube)
FD_w = 2.6;// Working flux density (in W per kg)
// Calculation of the maximum flux
Ai = Sf*A;// Net iron area (in meter square)
Bm = Ep/(4.44*f*Ai*Tp);// Maximum flux density of core (in Wb per meter square)
Fm = Bm*Ai;// Maximum flux in the core (in Wb)
disp(Fm,'Maximum flux in the core (Wb)=');
// Calculation of the no load current
AT0 = li/(ur*u0)*Bm;// Magnetic mmf (in A)
Im = AT0/(2^(1/2)*Tp);// Magnetising current (in A)
V = Ai*li;// Volume of the core (in meter cube)
W = V*D;// Weight of core (in kg)
Pi = W*FD_w;// Iron loss (in W)
Il = Pi/Ep;// Loss component of no load current (in A)
I0 =(Im*Im+Il*Il)^(1/2);// No load current (in A)
disp(I0,'No load current (Ampere)=');
//in book answers are 0.00225 (Wb) and 1.77 (Ampere) respectively. The answers vary due to round off error
|
23800159d0c38ef9191d6092e536352cdd812a30 | ba5d14a99711f45c6f3d2d28e4e8c12c9120e536 | /Aula 5.sce | 4489f78fe3c28ef8c92baa723e7d9ba5b035b9b6 | [] | no_license | RuanXavierSantos/Exercicios_Scilab | 0bf7aa6cc0b94e84bd560861c77d7a1a6c17bc2b | 219c1609766e1ac1ad27f9469012d7f3bb6c8dea | refs/heads/main | 2023-09-03T00:50:12.356763 | 2021-10-20T13:29:22 | 2021-10-20T13:29:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 1,317 | sce | Aula 5.sce | mprintf("---------------QUESTÃO 3-----------------------")
b=input("Informe o tamanho dos vetores: ")
mprintf("AGORA INSIRA OS VALORES DO PRIMEIRO VETOR!")
for i=1:b
v1(i)=input("Informe um valor: ")
end
i=0
mprintf("AGORA INSIRA OS VALORES DO SEGUNDO VETOR!")
for i=1:b
v2(i)=input("Informe um valor: ")
end
v=union(v1,v2)
disp(v)
mprintf("-----------------------------------------------\n")
mprintf("---------------QUESTÃO 2-----------------------")
r=input("Informe o tamanho do vetor: ")
for i=1:r
k(i)=input("Informe um valor: ")
end
mprintf("\nValor mínimo: %d\n",min(k))
mprintf("Valor máximo: %d\n",max(k))
for i=1:r
k(i)=k(i)*i
end
disp(k)
mprintf("-----------------------------------------------\n")
mprintf("---------------QUESTÃO 1-----------------------")
for i=1:4
for j=1:3
mprintf("\nInforme o elemento em [%d][%d] ",i,j)
a(i,j)=input("= ")
end
end
mprintf("L2C3= %d\n",a(2,3))
mprintf("L3 C3 X L2 C2 = %d",a(3,3)*a(2,2))
mprintf("\nMaior valor da matriz: %d",max(a))
mprintf("\nMatriz x 3 = \n")
disp(3*a)
mprintf("\n-----------------------------------------------\n")
//PROFESSOR, FIZ ESSE CÓDIGO COMO SE A PRIMEIRA LINHA OU COLUNA FOSSE 1 E NÃO 0,DEVIDO AO TAMANHO DA MATRIZ QUE O SENHOR ESTIPULOU NO ENUNCIADO
|
f344c7605a851091b816c4e98ee85d38b25c52b8 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2243/CH6/EX6.1/Ex6_1.sce | 75859cd35e071f46ccb4f9465223dd32243098c2 | [] | 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 | 1,661 | sce | Ex6_1.sce | //Quantised energy levels for microscopic and macroscopic systems
clc();
clear;
//Given :
// (a) For a 1s simple pendulum :
T = 1; // time period in s
nu = 1/T; //Frequency in Hz
//Planck's quantisation princple : E_n = n*h*nu
h = 6.625*10^-34 ; //Planck's constant in Js
printf("Energy at First three levels for a 1s simple pendulum :\n\n");
for n1 = 1:3
E1 = n1*h*nu ; // Energry in J
printf("E_%d : %1.3f x 10^-34 J\n",n1,E1*10^34);
end
// (b) For a hydrogen electron
// E_n = (-13.6/n^2)eV
printf("Energy at First three levels for a hydrogen electron :\n\n");
for n2 = 1:3
E2 = (-13.6/n2^2);//Energy in eV
printf("E_%d : %.2f J\n",n2,E2);
end
//Now, for a simple pendulum
m = 10; // mass in g
a = 1; // amplitude in cm
omega = 2*%pi*nu; // angular frequency in rad/s
// 1 g = 1.0*10^-3 Kg and 1 cm = 1.0*10^-2 m
E = 1/2*((m*10^-3)*(omega^2)*(a*10^-2)^2); // Energy in J
//Thus,quantum number n = E/h*nu
n = E/(h*nu);
printf("Quantum number n is : %.2f x 10^28 \n\n",n*10^-28);
//(i)Pendulum :
//percentage change in energy = (E_n+1 - E_n)*100/E_n which is equal to [(n+1)*h*nu - n*h*nu]*100/(n*h*nu )
//Therefore , it is (1/n) * 100
pc = (1/n)*100; //percentage change in energy
printf("Percentage change in energy ( pendulum ) is %1.3f x 10^-27 \n\n",pc*10^27);
//(ii)Hyderogen electron :
n_1 = 1; //ground state
n_2 = 2; // next quantum state
E_1 = (-13.6/n_1^2); // Energy in eV
E_2 = (-13.6/n_2^2);//Energy in eV
//percentage change : |((E_2-E_1)*100)|/ |E_1|
pc1 =((E_2-E_1)*100)/(-E_1);//percentage change
printf("Percentage change in energy (hydrogen electron) is %.1f",abs(pc1));
|
3ba7bb1bce75db0c99000a9f68ff97b0d7eb288e | b12941be3faf1fd1024c2c0437aa3a4ddcbbfd67 | /normal2/fase_4.tst | 1252dfb2215fc9a8f141309a24e2d016bfad83d1 | [] | no_license | JanWielemaker/optica | 950bd860825ab753236ce1daa399ee7a0b31b3ee | 3a378df314b5a60926b325089edac89c00cc8c6d | refs/heads/master | 2020-06-12T14:22:46.567191 | 2019-06-21T11:24:41 | 2019-06-21T11:24:41 | 194,328,239 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 12,343 | tst | fase_4.tst | /* Questionaire created by optica toolkit
Date: Tue Mar 24 11:20:47 1998
*/
question(1, '4.21',
'Wanneer komt het beeldpunt meer naar rechts te liggen?',
[ 'Als je de linker lens iets naar links verschuift.',
'Als je de rechter lens iets naar links verschuift.',
'Als je de lamp iets naar links verschuift.'
],
state(state, '',
[ m1 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(4),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(15),
show_gauge(true),
instrument_name(lens)),
m2 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(8),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(9.95),
show_gauge(true),
instrument_name(lens)),
l1 = lamp3(switch(true),
angle(0),
divergence(5),
pos_x(4),
pos_y(0),
instrument_name(lamp3))
])).
question(2, '4.22',
'Wanneer komt het beeldpunt meer naar links te liggen?',
[ 'Als je de linker lens iets naar links verschuift.',
'Als je de rechter lens iets naar rechts verschuift.',
'Als je de lamp iets naar rechts verschuift.'
],
state(state, '',
[ m1 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(4),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(15),
show_gauge(true),
instrument_name(lens)),
m2 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(-4),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(9.95),
show_gauge(true),
instrument_name(lens)),
l1 = lamp3(switch(true),
angle(0),
divergence(5),
pos_x(4),
pos_y(0),
instrument_name(lamp3))
])).
question(3, '4.23',
'Wanneer komt het virtueel beeldpunt meer naar links te liggen?',
[ 'Als je de linker lens iets naar links verschuift.',
'Als je de rechter lens iets naar links verschuift.',
'Als je de lamp iets naar links verschuift.'
],
state(state, '',
[ m1 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(-8),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(17),
show_gauge(true),
instrument_name(lens)),
m2 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(8),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(9),
show_gauge(true),
instrument_name(lens)),
l1 = lamp3(switch(true),
angle(0),
divergence(5),
pos_x(4),
pos_y(0),
instrument_name(lamp3))
])).
question(4, '4.24',
'Wanneer komt het virtueel beeldpunt meer naar rechts te liggen?',
[ 'Als je de linker lens iets naar links verschuift.',
'Als je de rechter lens iets naar links verschuift.',
'Als je de lamp iets naar links verschuift.'
],
state(state, '',
[ m1 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(8),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(12),
show_gauge(true),
instrument_name(lens)),
m2 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(-8),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(10),
show_gauge(true),
instrument_name(lens)),
l1 = lamp3(switch(true),
angle(0),
divergence(5),
pos_x(4),
pos_y(0),
instrument_name(lamp3))
])).
question(5, '4.25',
'Het afgebeelde lenzenstelsel kan vervangen worden door een enkele lens met
een brandpuntsafstand van 6,67 cm.
Op welke plek moet de vervangende lens worden neergezet om dezelfde vergroting te krijgen?',
[ 'Op 10 cm van de lamp.',
'Op 15 cm van de lamp.',
'Op 20 cm van de lamp.'
],
state(state, '',
[ m1 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(10),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(12.95),
show_gauge(true),
instrument_name(lens)),
m2 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(10),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(6.4),
show_gauge(true),
instrument_name(lens)),
l1 = lamp3(switch(true),
angle(0),
divergence(5),
pos_x(0),
pos_y(2),
instrument_name(lamp3)),
c4 = construction_line(orientation(vertical),
value(30),
instrument_name(consline)),
d3 = ruler(from(l1), to(c4), offset(4.4)),
c9 = construction_line(orientation(horizontal),
value(-3.95),
instrument_name(hconsline)),
c10 = construction_line(orientation(horizontal),
value(2.05),
instrument_name(hconsline)),
c11 = construction_line(orientation(horizontal),
value(0.05),
instrument_name(hconsline)),
d14 = ruler(from(c10),
to(c11),
offset(0.9)),
d15 = ruler(from(c11),
to(c9),
offset(24.15))
])).
question(6, '4.26',
'Het afgebeelde lenzenstelsel kan vervangen worden door een enkele lens met
een brandpuntsafstand van 3.34 cm.
Op welke plek moet de vervangende lens worden neergezet om dezelfde vergroting te krijgen?',
[ 'Op 5 cm van de lamp.',
'Op 6.67 cm van de lamp.',
'Op 10 cm van de lamp.'
],
state(state, '',
[ m1 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(3),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(9.45),
show_gauge(true),
instrument_name(lens)),
m2 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(-8),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(6.25),
show_gauge(true),
instrument_name(lens)),
l1 = lamp3(switch(true),
angle(-12),
divergence(5),
pos_x(0),
pos_y(4),
instrument_name(lamp3)),
c4 = construction_line(orientation(vertical),
value(15),
instrument_name(consline)),
c13 = construction_line(orientation(horizontal),
value(4.05),
instrument_name(hconsline)),
c14 = construction_line(orientation(horizontal),
value(0.05),
instrument_name(hconsline)),
c15 = construction_line(orientation(horizontal),
value(-1.95),
instrument_name(hconsline)),
d23 = ruler(from(c14),
to(c15),
offset(20.55)),
d24 = ruler(from(c13),
to(c14),
offset(2.45)),
d25 = ruler(from(l1), to(c4), offset(6.25))
])).
question(7, '4.27',
'Het afgebeelde lenzenstelsel kan vervangen worden door een enkele lens op 15 cm rechts van de lamp.
Wat is de brandpuntsafstand van die vervangende lens?',
[ '5 cm.',
'7,5 cm.',
'10 cm.'
],
state(state, '',
[ m4 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(-5),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(7.95),
show_gauge(true),
instrument_name(lens)),
c16 = construction_line(orientation(vertical),
value(0),
instrument_name(consline)),
l4 = lamp3(switch(true),
angle(-2.5),
divergence(5),
pos_x(0),
pos_y(2),
instrument_name(lamp3)),
m6 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(5),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(11.75),
show_gauge(true),
instrument_name(lens)),
c19 = construction_line(orientation(horizontal),
value(-1.95),
instrument_name(hconsline)),
c20 = construction_line(orientation(horizontal),
value(0),
instrument_name(hconsline)),
d32 = ruler(from(c20),
to(c19),
offset(26.8)),
c21 = construction_line(orientation(vertical),
value(30),
instrument_name(consline)),
d33 = ruler(from(l4), to(c21), offset(4.65)),
c22 = construction_line(orientation(horizontal),
value(2),
instrument_name(hconsline)),
d35 = ruler(from(c20),
to(c22),
offset(1.8))
])).
question(8, '4.28',
'Het afgebeelde lenzenstelsel kan vervangen worden door een enkele lens op 10 cm rechts van de lamp.
Wat is de brandpuntsafstand van die vervangende lens?',
[ '6 cm.',
'8 cm.',
'15 cm.'
],
state(state, '',
[ m4 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(4),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(7.8),
show_gauge(true),
instrument_name(lens)),
c16 = construction_line(orientation(vertical),
value(0),
instrument_name(consline)),
l4 = lamp3(switch(true),
angle(-10),
divergence(5),
pos_x(0),
pos_y(3),
instrument_name(lamp3)),
c19 = construction_line(orientation(horizontal),
value(-4.5),
instrument_name(hconsline)),
c20 = construction_line(orientation(horizontal),
value(0),
instrument_name(hconsline)),
d32 = ruler(from(c20),
to(c19),
offset(26.8)),
c21 = construction_line(orientation(vertical),
value(24.95),
instrument_name(consline)),
d33 = ruler(from(l4), to(c21), offset(4.65)),
c22 = construction_line(orientation(horizontal),
value(2.95),
instrument_name(hconsline)),
d35 = ruler(from(c20),
to(c22),
offset(1.8)),
m7 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(-4),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(4.75),
show_gauge(true),
instrument_name(lens))
])).
question(9, '4.29',
'Op de afgebeelde hulplijn links wordt een lamp met een divergerende lichtbundel geplaatst.
Waar zal het beeldpunt komen?',
[ 'Op 16 cm rechts van de lamp.',
'Op 18 cm rechts van de lamp.',
'Op 20 cm rechts van de lamp.'
],
state(state, '',
[ m4 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(4),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(12),
show_gauge(true),
instrument_name(lens)),
m5 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(-8),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(8),
show_gauge(true),
instrument_name(lens)),
c16 = construction_line(orientation(vertical),
value(0),
instrument_name(consline)),
d28 = ruler(from(c16), to(m5), offset(4.5)),
d29 = ruler(from(c16), to(m4), offset(2.95))
])).
question(10, '4.30',
'Op de afgebeelde hulplijn wordt een lamp met een divergerende lichtbundel geplaatst.
Waar zal het virtueel beeldpunt komen?',
[ 'Op 8 cm rechts van de lamp.',
'Op 12 cm rechts van de lamp.',
'Op 16 cm rechts van de lamp.'
],
state(state, '',
[ m4 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(-6),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(12),
show_gauge(true),
instrument_name(lens)),
m5 = lens(label(''),
radius(5),
thickness(0.1),
focal_distance(-6),
sfere_left(0),
sfere_right(0),
breaking_index(1.51),
pos_x(19.95),
show_gauge(true),
instrument_name(lens)),
c16 = construction_line(orientation(vertical),
value(0),
instrument_name(consline)),
d28 = ruler(from(c16), to(m5), offset(4.5)),
d29 = ruler(from(c16), to(m4), offset(2.95))
])).
|
db9c062f8ba6da3922b0f3875588818a96bec1e7 | 6583b7f11175c40106fb7cc0037578abae125f42 | /test/scanner.tst | eaab956b24392044d69b8fb797bcf1743aed8429 | [] | no_license | FREDY1969/tampa-bay-python-avr | 02f913ee8373bfab4ef88902844476080b560226 | e0311815ebf81b5e1b128f621bf1f15b4fa28289 | refs/heads/master | 2020-04-24T17:45:03.787951 | 2011-10-23T17:58:09 | 2011-10-23T17:58:09 | 40,279,869 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 3,744 | tst | scanner.tst | # scanner.tst
>>> from ucc.parser import scanner, scanner_init
>>> scanner_init.tokenize(scanner, 'hi mom')
LexToken(NAME,'hi',1,0)
LexToken(NAME,'mom',1,3)
>>> scanner_init.tokenize(scanner, 'hi\n mom')
LexToken(NAME,'hi',1,0)
LexToken(NAME,'mom',2,4)
>>> scanner_init.tokenize(scanner, 'hi\n mom\n dad')
LexToken(NAME,'hi',1,0)
LexToken(NAME,'mom',2,5)
LexToken(NAME,'dad',3,10)
>>> scanner_init.tokenize(scanner, 'hi:\n mom\ndad')
LexToken(NAME,'hi',1,0)
LexToken(START_SERIES_TOK,':\n',1,2)
LexToken(INDENT_TOK,'\n ',2,3)
LexToken(NAME,'mom',2,8)
LexToken(NEWLINE_TOK,'\n',2,11)
LexToken(DEINDENT_TOK,'\n',3,11)
LexToken(NAME,'dad',3,12)
>>> scanner_init.tokenize(scanner, r"'h' '\n' '\N' '\x01' '\X10'")
LexToken(CHAR,104,1,0)
LexToken(CHAR,10,1,4)
LexToken(CHAR,10,1,9)
LexToken(CHAR,1,1,14)
LexToken(CHAR,16,1,21)
>>> scanner_init.tokenize(scanner, r'"h\n\N\x01\X10"')
LexToken(STRING,'h\n\n\x01\x10',1,0)
>>> scanner_init.tokenize(scanner, '(hi(mom ()))')
LexToken(LP_TOK,'(',1,0)
LexToken(NAME,'hi',1,1)
LexToken((,'(',1,3)
LexToken(NAME,'mom',1,4)
LexToken(LP_TOK,'(',1,8)
LexToken(),')',1,9)
LexToken(),')',1,10)
LexToken(),')',1,11)
>>> scanner_init.tokenize(scanner, '[hi[mom []]]')
LexToken(LB_TOK,'[',1,0)
LexToken(NAME,'hi',1,1)
LexToken([,'[',1,3)
LexToken(NAME,'mom',1,4)
LexToken(LB_TOK,'[',1,8)
LexToken(],']',1,9)
LexToken(],']',1,10)
LexToken(],']',1,11)
>>> scanner_init.tokenize(scanner, '0 01 10 0x10 0X10 1/2 2.3/4 2.54/ .54/')
LexToken(INTEGER,0,1,0)
LexToken(INTEGER,1,1,2)
LexToken(INTEGER,10,1,5)
LexToken(INTEGER,16,1,8)
LexToken(INTEGER,16,1,13)
LexToken(RATIO,(1, 2),1,18)
LexToken(RATIO,(11, 4),1,22)
LexToken(RATIO,(254, 100),1,28)
LexToken(RATIO,(54, 100),1,34)
>>> scanner_init.tokenize(scanner, '0x1/a 0Xc.A/b 0X2.54/ 0x.54/')
LexToken(RATIO,(1, 10),1,0)
LexToken(RATIO,(142, 11),1,6)
LexToken(RATIO,(596, 256),1,14)
LexToken(RATIO,(84, 256),1,22)
>>> scanner_init.tokenize(scanner,
... '123. 123~1 122~1 123.5 123.5~1 123~1e1 123E1 123~1e-1 123e-1')
LexToken(APPROX_NUMBER,(123, 0),1,0)
LexToken(APPROX_NUMBER,(123, 0),1,5)
LexToken(APPROX_NUMBER,(61, 1),1,11)
LexToken(APPROX_NUMBER,(1976, -4),1,17)
LexToken(APPROX_NUMBER,(988, -3),1,23)
LexToken(APPROX_NUMBER,(77, 4),1,31)
LexToken(APPROX_NUMBER,(308, 2),1,39)
LexToken(APPROX_NUMBER,(197, -4),1,45)
LexToken(APPROX_NUMBER,(197, -4),1,54)
>>> scanner_init.tokenize(scanner,
... '0x123. 0X123~1 0x122~1 0X123.5 0x123.5~1 0X123~1x1 0x123X1 '
... '0x123~1x-1 0X123x-1')
LexToken(APPROX_NUMBER,(291, 0),1,0)
LexToken(APPROX_NUMBER,(291, 0),1,7)
LexToken(APPROX_NUMBER,(145, 1),1,15)
LexToken(APPROX_NUMBER,(4661, -4),1,23)
LexToken(APPROX_NUMBER,(4661, -4),1,31)
LexToken(APPROX_NUMBER,(291, 4),1,41)
LexToken(APPROX_NUMBER,(291, 4),1,51)
LexToken(APPROX_NUMBER,(291, -4),1,59)
LexToken(APPROX_NUMBER,(291, -4),1,70)
>>> scanner_init.tokenize(scanner,
... '0x12-3+ 0X123~1- *22~1 >0X123 >"0x123~1 0X123~1x1\' ')
LexToken(NAME,'0x12-3+',1,0)
LexToken(NAME,'0X123~1-',1,8)
LexToken(NAME,'*22~1',1,17)
LexToken(ARG_LEFT_WORD,'>0X123',1,23)
LexToken(ARG_LEFT_WORD,'>"0x123~1',1,30)
LexToken(NAME,"0X123~1x1'",1,40)
>>> scanner_init.tokenize(scanner, '+ - * -a ~')
LexToken(+,'+',1,0)
LexToken(-,'-',1,2)
LexToken(*,'*',1,4)
LexToken(NEGATE,'negate',1,6)
LexToken(NAME,'a',1,7)
LexToken(NAME,'~',1,9)
>>> token_dict = {'if': 'IF',
... 'else': 'ELSE_TOK',
... 'elif': 'ELIF_TOK',
... }
>>> scanner_init.tokenize(scanner, 'x if bar< elif "hi" else 7',
... (None, token_dict))
LexToken(NAME,'x',1,0)
LexToken(IF,'if',1,2)
LexToken(ARG_RIGHT_WORD,'bar<',1,5)
LexToken(ELIF_TOK,'elif',1,10)
LexToken(STRING,'hi',1,15)
LexToken(ELSE_TOK,'else',1,20)
LexToken(INTEGER,7,1,25)
|
1d5ed3cf6f22dfa845712b46f46711136d4c6d62 | 527c41bcbfe7e4743e0e8897b058eaaf206558c7 | /Positive_Negative_test/Netezza-Base-DateFunctions/FLDateTrunc-Netezza-01.tst | 8d4ac8802a4a12f773b3d6226a2c687ceb77e8aa | [] | no_license | kamleshm/intern_fuzzy | c2dd079bf08bede6bca79af898036d7a538ab4e2 | aaef3c9dc9edf3759ef0b981597746d411d05d34 | refs/heads/master | 2021-01-23T06:25:46.162332 | 2017-07-12T07:12:25 | 2017-07-12T07:12:25 | 93,021,923 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 3,054 | tst | FLDateTrunc-Netezza-01.tst | -- The intellectual and technical concepts contained herein are proprietary to Fuzzy Logix, LLC.
-- and may be covered by U.S. and Foreign Patents, patents in process, and are protected by trade
-- secret or copyright law. Dissemination of this information or reproduction of this material is
-- strictly forbidden unless prior written permission is obtained from Fuzzy Logix, LLC.
-- Functional Test Specifications:
--
-- Test Category: Date Functions
--
-- Test Unit Number: FLDateTrunc-Netezza-01
--
-- Name(s): FLDateTrunc
--
-- Description: Scalar function which truncates a DATE variable to a specified precision
--
-- Applications:
--
-- Signature: FLDateTrunc(pFormat VARCHAR, pDate DATE)
--
-- Parameters: See Documentation
--
-- Return value: Date
--
-- Last Updated: 11-24-2014
--
-- Author: Surya Deepak Garimella
--
-- BEGIN: TEST SCRIPT
--.run file=../PulsarLogOn.sql
--.set width 2500
--set session dateform = ANSIDATE;
--SELECT COUNT(*) AS CNT,
-- CASE WHEN CNT = 0 THEN ' Please Load Test Data!!! ' ELSE ' Test Data Loaded ' END AS TestOutcome
--FROM tblTestDate a;
-- BEGIN: POSITIVE TEST(s)
---- Positive Test 1: Manual Example
--- Same Output, Good
SELECT a.ObsID,
a.DateIN1,
FLDateTrunc('yy', a.DateIN1) AS TruncYear,
FLDateTrunc('mm', a.DateIN1) AS TruncMonth,
FLDateTrunc('dd', a.DateIN1) AS TruncDay
FROM tblTestDate a
ORDER BY 1;
---- Positive Test 2: Test for alternative inputs for DatePartInd
SELECT a.ObsID,
a.DateIN1,
FLDateTrunc('yyyy', a.DateIN1) AS TruncYear,
FLDateTrunc('m', a.DateIN1) AS TruncMonth,
FLDateTrunc('d', a.DateIN1) AS TruncDay
FROM tblTestDate a
ORDER BY 1;
---- Positive Test 3: Test for lower bound of Date input
SELECT Date '0001-01-01' AS DateIN1,
FLDateTrunc('yy', DateIN1) AS TruncYear,
FLDateTrunc('mm', DateIN1) AS TruncMonth,
FLDateTrunc('dd', DateIN1) AS TruncDay;
---- Positive Test 4: Test for upper bound of Date input
SELECT Date '9999-12-31' AS DateIN1,
FLDateTrunc('yy', DateIN1) AS TruncYear,
FLDateTrunc('mm', DateIN1) AS TruncMonth,
FLDateTrunc('dd', DateIN1) AS TruncDay;
-- END: POSITIVE TEST(s)
-- BEGIN: NEGATIVE TEST(s)
---- Negative Test 1: Invalid Input for Date Part
--- Return expected error msg, Good
SELECT a.ObsID,
a.DateIN1,
FLDateTrunc('gg', a.DateIN1) AS TruncYear
FROM tblTestDate a
ORDER BY 1;
SELECT a.ObsID,
a.DateIN1,
FLDateTrunc(NULL, a.DateIN1) AS TruncYear
FROM tblTestDate a
ORDER BY 1;
---- Negative Test 2: Invalid Input for Date
--- Return expected error msg, Good
SELECT a.ObsID,
a.DateIN1,
FLDateTrunc('yy', a.DateTS1) AS TruncYear
FROM tblTestDate a
ORDER BY 1;
SELECT a.ObsID,
a.DateIN1,
FLDateTrunc('yy', NULL) AS TruncYear
FROM tblTestDate a
ORDER BY 1;
SELECT FLDateTrunc('yy', '2010-10-32 10:56:16') AS TruncYear;
-- END: NEGATIVE TEST(s)
-- END: TEST SCRIPT
|
c8217990ad1deb51184cbbeae1f8bb863c587c37 | 449d555969bfd7befe906877abab098c6e63a0e8 | /821/CH5/EX5.49/5_49.sce | 441db138b577f1ffff9a57fe3a4630fe90ea2607 | [] | 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 | 386 | sce | 5_49.sce | MH2O=18;//Molecular weight of H2O in grams//
WH2O=100;//weight of H2O in grams//
W=3.6;//weight of oraganic substance in grams//
dP=0.0855;//Lowering in vapour pressure in mm of Hg//
P=23.76;//Vapour pressure of Organic substance in mm of Hg//
M=(W*MH2O*P)/(WH2O*dP);//Molecular weight of Organic substance in grams//
printf('Molecular weight of Organic substance=M=%fgrams',M);
|
80090e5b93950994f3440a51873f724fb9df56ca | 717ddeb7e700373742c617a95e25a2376565112c | /278/CH9/EX9.1/ex_9_1.sce | 0f985f2f3d06d3a3a8a0fef3fae4c5960a3ff5da | [] | no_license | appucrossroads/Scilab-TBC-Uploads | b7ce9a8665d6253926fa8cc0989cda3c0db8e63d | 1d1c6f68fe7afb15ea12fd38492ec171491f8ce7 | refs/heads/master | 2021-01-22T04:15:15.512674 | 2017-09-19T11:51:56 | 2017-09-19T11:51:56 | 92,444,732 | 0 | 0 | null | 2017-05-25T21:09:20 | 2017-05-25T21:09:19 | null | UTF-8 | Scilab | false | false | 801 | sce | ex_9_1.sce | //find minimum force per pitch and find actual stresses developed
clc
//solution
//given
t=15//mm
d=25//mm
p=75//mm
ftu=400//N/mm^2
tu=320//N/mm^2
fcu=640//N/mm^2
pi=3.14
n=2
FS=4//factor of safety
//min foce per pitch which will rupture the joint
Ptu=(p-d)*t*ftu//N//ultimate teraing reisistance
Psu=n*(pi/4)*d^2^tu//N//ultimate shear stress
Pcu=n*d*t*fcu//N//ultimate crushing stress
//actual stress produced in plates and rivets
Ac=Ptu/4//N
//we know
//Ac=(p-d)*t*fta
fta=Ac/((p-d)*t)//N/mm^2
Ta=Ac*4/(n*pi*d^2)//N/mm^2
fca=Ac/(n*d*t)//N/mm^2
printf("the min force required is,%f N\n",Ptu)
printf("the actual tearing stress acting is,%f N/mm^2\n",fta)
printf("the actual shering stress acting is,%f N/mm^2\n",Ta)
printf("thr crushing resistance stress is ,%f N/mm^2",fca) |
de237a1daaadba17e748791fc4419bd16f4ae1f5 | 8627886261b3eddf8440c0b470cd9ee25c762d97 | /сайлаб/21_lab_rabota.sce | 6cd0b8c7d703044d80e64d81a3cc72ac14268829 | [] | no_license | timurzotov/pvis | ba75cf86fae91b6adc8dd3fe9cd2672eea561cca | d60e8e241d6ce0ad3a9b2a75c8771f92a9b039ba | refs/heads/master | 2020-09-08T07:59:31.719500 | 2019-11-11T21:14:13 | 2019-11-11T21:14:13 | 221,070,925 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 1,307 | sce | 21_lab_rabota.sce | clc;
f=figure();
set(f,'position',[200,20,400,300]);
set(f,'figure_name','Лабораторная работа №21');
set(f,'BackgroundColor',[0,1,1]);
rbt1=uicontrol(f,'style','radiobutton','string','sin(x)','value',0,'position',[70,225,70,30],'BackgroundColor',[1,1,1]);
rbt2=uicontrol(f,'style','radiobutton','string','cos(x)','value',0,'position',[250,225,70,30],'BackgroundColor',[1,1,1]);
button1=uicontrol(f,'style','pushbutton','string','Закрыть приложение.','position',[225,20,150,30],'CallBack','a1');
function a1
close(f);
endfunction
button2=uicontrol(f,'style','pushbutton','string','Построить график.','position',[125,150,150,30],'BackgroundColor',[1,0,1],'CallBack','graf');
function graf
if rbt1.Value==1 then
scf(1),
x=[-10:0.001:10],
y=sin(x),
plot2d2(x,y',axesflag=4,leg='sin(x)'),
xgrid(),
set(rbt1,'value',0);
end
if rbt2.Value==1 then
scf(2),
x=[-10:0.001:10],
y=cos(x),
plot2d2(x,y',axesflag=4,leg='cos(x)'),
xgrid(),
set(rbt2,'value',0);
end
endfunction
|
372d7afc2d3930126ab1d8091f80fd53a31fc273 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2513/CH10/EX10.1/10_1.sce | bb4c9f50a3cac880ebaf34342f30098c1b4ac5ed | [] | 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 | 507 | sce | 10_1.sce | clc
//initialisation of variables
w1=1000//ft
w2=2000//ft
r=700//gpm
d=10//days
q=2//ft
u=1.87*[(3.4*10^-5)/(3.2*10^4)]*(d^6/d)//ft
W=7.94//ft
p=114.6*(7*10^2)*W/(3.2*10^4)//ft
U=1.87*[(3.4*10^-5)/(3.2*10^4)]*(4*d^6/d)//ft
Wu=6.55//ft
P=114.6*(7*10^2)*Wu/(3.2*10^4)//ft
R=54//ft
//CALCULATIONS
W1=R+p+P//ft
D=R+q*p//ft
//RESULTS
printf('the expected drawndown the first well is pumped at a rate=% f ft',W1)
printf('the drawdown in each well all the three are pupped at a rate=% f ft',D)
|
77058fb6d4d948039dea7430710bb8e8d4f06b4d | 449d555969bfd7befe906877abab098c6e63a0e8 | /1736/CH2/EX2.4/Ch02Ex4.sce | 850c34ffff4ab201221658e37d547583f478457f | [] | 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 | 716 | sce | Ch02Ex4.sce | // Scilab Code Ex2.4 : Page-63 (2006)
clc; clear;
epsilon_0 = 8.854e-012; // Absolute electrical permittivity of free space, F/m
N = 6.023e+023; // Avogadro's number
e = 1.6e-019; // Energy equivalent of 1 eV, eV/J
E = 152e+03; // Binding energy of CsCl, cal/mol
n = 10.6; // Repulsive exponent of CsCl
A = 1.763; // Madelung constant for lattice binding energy
// As lattice binding energy, E = A*e^2/(4*%pi*epsilon_0*r0)*(n-1)/n, solving for r0
r0 = A*N*e^2/(4*%pi*epsilon_0*E*4.186)*(n-1)/n; // Nearest neighbour distance of CsCl, m
printf("\nThe nearest neighbour distance of CsCl = %4.2f angstrom", r0/1e-010);
// Result
// The nearest neighbour distance of CsCl = 3.48 angstrom
|
6ab0ef9059734da9fecc54aa31a0ebbbb497e95a | c565d26060d56f516d954d4b378b8699c31a71ef | /Vikas_self/report_tex/PID_results/pictrl2with40to45.sce | 3527c624f3597a8c91330c2742d738902262f6ae | [] | no_license | rupakrokade/sbhs-manual | 26d6e458c5d6aaba858c3cb2d07ff646d90645ce | 5aad4829d5ba1cdf9cc62d72f794fab2b56dd786 | refs/heads/master | 2021-01-23T06:25:53.904684 | 2015-10-24T11:57:04 | 2015-10-24T11:57:04 | 5,258,478 | 0 | 0 | null | 2012-11-16T11:45:07 | 2012-08-01T11:36:17 | Scilab | UTF-8 | Scilab | false | false | 180,000 | sce | pictrl2with40to45.sce | 0.100E+00 0.390E+02 0.390E+02 -0.320E+01
0.600E+00 0.387E+02 0.372E+02 0.100E+01
0.110E+01 0.386E+02 0.378E+02 0.130E+01
0.160E+01 0.384E+02 0.385E+02 0.140E+01
0.210E+01 0.382E+02 0.390E+02 0.160E+01
0.260E+01 0.380E+02 0.390E+02 0.180E+01
0.310E+01 0.380E+02 0.390E+02 0.200E+01
0.360E+01 0.377E+02 0.390E+02 0.200E+01
0.410E+01 0.376E+02 0.390E+02 0.230E+01
0.460E+01 0.376E+02 0.390E+02 0.240E+01
0.510E+01 0.374E+02 0.390E+02 0.240E+01
0.560E+01 0.374E+02 0.390E+02 0.260E+01
0.610E+01 0.374E+02 0.390E+02 0.260E+01
0.660E+01 0.373E+02 0.390E+02 0.260E+01
0.710E+01 0.373E+02 0.390E+02 0.270E+01
0.760E+01 0.372E+02 0.390E+02 0.270E+01
0.810E+01 0.370E+02 0.390E+02 0.280E+01
0.860E+01 0.370E+02 0.390E+02 0.300E+01
0.910E+01 0.372E+02 0.390E+02 0.300E+01
0.960E+01 0.370E+02 0.390E+02 0.280E+01
0.101E+02 0.372E+02 0.390E+02 0.300E+01
0.106E+02 0.370E+02 0.390E+02 0.280E+01
0.111E+02 0.372E+02 0.390E+02 0.300E+01
0.116E+02 0.373E+02 0.390E+02 0.280E+01
0.121E+02 0.372E+02 0.390E+02 0.270E+01
0.126E+02 0.374E+02 0.390E+02 0.280E+01
0.131E+02 0.373E+02 0.390E+02 0.260E+01
0.136E+02 0.374E+02 0.390E+02 0.270E+01
0.141E+02 0.374E+02 0.390E+02 0.260E+01
0.146E+02 0.375E+02 0.390E+02 0.260E+01
0.151E+02 0.376E+02 0.390E+02 0.250E+01
0.156E+02 0.375E+02 0.390E+02 0.240E+01
0.161E+02 0.377E+02 0.390E+02 0.250E+01
0.166E+02 0.377E+02 0.390E+02 0.230E+01
0.171E+02 0.379E+02 0.390E+02 0.230E+01
0.176E+02 0.380E+02 0.390E+02 0.210E+01
0.181E+02 0.380E+02 0.390E+02 0.200E+01
0.186E+02 0.381E+02 0.390E+02 0.200E+01
0.191E+02 0.382E+02 0.390E+02 0.190E+01
0.196E+02 0.383E+02 0.390E+02 0.180E+01
0.201E+02 0.384E+02 0.390E+02 0.170E+01
0.206E+02 0.386E+02 0.390E+02 0.160E+01
0.211E+02 0.384E+02 0.390E+02 0.140E+01
0.216E+02 0.387E+02 0.390E+02 0.160E+01
0.221E+02 0.387E+02 0.390E+02 0.130E+01
0.226E+02 0.388E+02 0.390E+02 0.130E+01
0.231E+02 0.390E+02 0.390E+02 0.120E+01
0.236E+02 0.389E+02 0.390E+02 0.100E+01
0.241E+02 0.390E+02 0.390E+02 0.110E+01
0.246E+02 0.391E+02 0.390E+02 0.100E+01
0.251E+02 0.393E+02 0.390E+02 0.900E+00
0.256E+02 0.394E+02 0.390E+02 0.700E+00
0.261E+02 0.394E+02 0.390E+02 0.600E+00
0.266E+02 0.395E+02 0.390E+02 0.600E+00
0.271E+02 0.396E+02 0.390E+02 0.500E+00
0.276E+02 0.397E+02 0.390E+02 0.400E+00
0.281E+02 0.397E+02 0.390E+02 0.300E+00
0.286E+02 0.398E+02 0.390E+02 0.300E+00
0.291E+02 0.398E+02 0.390E+02 0.200E+00
0.296E+02 0.400E+02 0.390E+02 0.200E+00
0.301E+02 0.400E+02 0.390E+02 0.000E+00
0.306E+02 0.401E+02 0.390E+02 0.000E+00
0.311E+02 0.402E+02 0.390E+02 -0.100E+00
0.316E+02 0.401E+02 0.389E+02 -0.200E+00
0.321E+02 0.402E+02 0.388E+02 -0.100E+00
0.326E+02 0.402E+02 0.388E+02 -0.200E+00
0.331E+02 0.403E+02 0.387E+02 -0.200E+00
0.336E+02 0.404E+02 0.385E+02 -0.300E+00
0.341E+02 0.404E+02 0.384E+02 -0.400E+00
0.346E+02 0.404E+02 0.382E+02 -0.400E+00
0.351E+02 0.405E+02 0.379E+02 -0.400E+00
0.356E+02 0.407E+02 0.377E+02 -0.500E+00
0.361E+02 0.407E+02 0.374E+02 -0.700E+00
0.366E+02 0.407E+02 0.370E+02 -0.700E+00
0.371E+02 0.407E+02 0.366E+02 -0.700E+00
0.376E+02 0.407E+02 0.362E+02 -0.700E+00
0.381E+02 0.407E+02 0.358E+02 -0.700E+00
0.386E+02 0.408E+02 0.355E+02 -0.700E+00
0.391E+02 0.409E+02 0.351E+02 -0.800E+00
0.396E+02 0.409E+02 0.346E+02 -0.900E+00
0.401E+02 0.408E+02 0.341E+02 -0.900E+00
0.406E+02 0.409E+02 0.336E+02 -0.800E+00
0.411E+02 0.409E+02 0.331E+02 -0.900E+00
0.416E+02 0.409E+02 0.326E+02 -0.900E+00
0.421E+02 0.410E+02 0.321E+02 -0.900E+00
0.426E+02 0.410E+02 0.316E+02 -0.100E+01
0.431E+02 0.410E+02 0.311E+02 -0.100E+01
0.436E+02 0.410E+02 0.305E+02 -0.100E+01
0.441E+02 0.411E+02 0.299E+02 -0.100E+01
0.446E+02 0.410E+02 0.294E+02 -0.110E+01
0.451E+02 0.411E+02 0.288E+02 -0.100E+01
0.456E+02 0.410E+02 0.282E+02 -0.110E+01
0.461E+02 0.410E+02 0.276E+02 -0.100E+01
0.466E+02 0.411E+02 0.270E+02 -0.100E+01
0.471E+02 0.410E+02 0.265E+02 -0.110E+01
0.476E+02 0.411E+02 0.258E+02 -0.100E+01
0.481E+02 0.410E+02 0.253E+02 -0.110E+01
0.486E+02 0.410E+02 0.247E+02 -0.100E+01
0.491E+02 0.409E+02 0.241E+02 -0.100E+01
0.496E+02 0.409E+02 0.235E+02 -0.900E+00
0.501E+02 0.409E+02 0.230E+02 -0.900E+00
0.506E+02 0.409E+02 0.225E+02 -0.900E+00
0.511E+02 0.408E+02 0.220E+02 -0.900E+00
0.516E+02 0.408E+02 0.215E+02 -0.800E+00
0.521E+02 0.407E+02 0.211E+02 -0.800E+00
0.526E+02 0.407E+02 0.206E+02 -0.700E+00
0.531E+02 0.405E+02 0.202E+02 -0.700E+00
0.536E+02 0.405E+02 0.198E+02 -0.500E+00
0.541E+02 0.404E+02 0.195E+02 -0.500E+00
0.546E+02 0.404E+02 0.193E+02 -0.400E+00
0.551E+02 0.403E+02 0.190E+02 -0.400E+00
0.556E+02 0.403E+02 0.188E+02 -0.300E+00
0.561E+02 0.402E+02 0.186E+02 -0.300E+00
0.566E+02 0.402E+02 0.185E+02 -0.200E+00
0.571E+02 0.400E+02 0.184E+02 -0.200E+00
0.576E+02 0.398E+02 0.182E+02 0.000E+00
0.581E+02 0.397E+02 0.182E+02 0.200E+00
0.586E+02 0.397E+02 0.184E+02 0.300E+00
0.591E+02 0.395E+02 0.185E+02 0.300E+00
0.596E+02 0.395E+02 0.187E+02 0.500E+00
0.601E+02 0.394E+02 0.190E+02 0.500E+00
0.606E+02 0.394E+02 0.193E+02 0.600E+00
0.611E+02 0.393E+02 0.196E+02 0.600E+00
0.616E+02 0.391E+02 0.199E+02 0.700E+00
0.621E+02 0.390E+02 0.203E+02 0.900E+00
0.626E+02 0.390E+02 0.208E+02 0.100E+01
0.631E+02 0.389E+02 0.214E+02 0.100E+01
0.636E+02 0.389E+02 0.220E+02 0.110E+01
0.641E+02 0.388E+02 0.226E+02 0.110E+01
0.646E+02 0.387E+02 0.232E+02 0.120E+01
0.651E+02 0.387E+02 0.239E+02 0.130E+01
0.656E+02 0.386E+02 0.246E+02 0.130E+01
0.661E+02 0.384E+02 0.253E+02 0.140E+01
0.666E+02 0.384E+02 0.261E+02 0.160E+01
0.671E+02 0.383E+02 0.270E+02 0.160E+01
0.676E+02 0.383E+02 0.279E+02 0.170E+01
0.681E+02 0.382E+02 0.289E+02 0.170E+01
0.686E+02 0.382E+02 0.298E+02 0.180E+01
0.691E+02 0.381E+02 0.308E+02 0.180E+01
0.696E+02 0.381E+02 0.319E+02 0.190E+01
0.701E+02 0.380E+02 0.329E+02 0.190E+01
0.706E+02 0.379E+02 0.340E+02 0.200E+01
0.711E+02 0.380E+02 0.351E+02 0.210E+01
0.716E+02 0.379E+02 0.363E+02 0.200E+01
0.721E+02 0.379E+02 0.374E+02 0.210E+01
0.726E+02 0.379E+02 0.386E+02 0.210E+01
0.731E+02 0.379E+02 0.390E+02 0.210E+01
0.736E+02 0.379E+02 0.390E+02 0.210E+01
0.741E+02 0.379E+02 0.390E+02 0.210E+01
0.746E+02 0.377E+02 0.390E+02 0.210E+01
0.751E+02 0.377E+02 0.390E+02 0.230E+01
0.756E+02 0.379E+02 0.390E+02 0.230E+01
0.761E+02 0.377E+02 0.390E+02 0.210E+01
0.766E+02 0.379E+02 0.390E+02 0.230E+01
0.771E+02 0.380E+02 0.390E+02 0.210E+01
0.776E+02 0.380E+02 0.390E+02 0.200E+01
0.781E+02 0.379E+02 0.390E+02 0.200E+01
0.786E+02 0.379E+02 0.390E+02 0.210E+01
0.791E+02 0.381E+02 0.390E+02 0.210E+01
0.796E+02 0.381E+02 0.390E+02 0.190E+01
0.801E+02 0.381E+02 0.390E+02 0.190E+01
0.806E+02 0.382E+02 0.390E+02 0.190E+01
0.811E+02 0.382E+02 0.390E+02 0.180E+01
0.816E+02 0.383E+02 0.390E+02 0.180E+01
0.821E+02 0.384E+02 0.390E+02 0.170E+01
0.826E+02 0.386E+02 0.390E+02 0.160E+01
0.831E+02 0.384E+02 0.390E+02 0.140E+01
0.836E+02 0.386E+02 0.390E+02 0.160E+01
0.841E+02 0.388E+02 0.390E+02 0.140E+01
0.846E+02 0.388E+02 0.390E+02 0.120E+01
0.851E+02 0.388E+02 0.390E+02 0.120E+01
0.856E+02 0.388E+02 0.390E+02 0.120E+01
0.861E+02 0.389E+02 0.390E+02 0.120E+01
0.866E+02 0.390E+02 0.390E+02 0.110E+01
0.871E+02 0.391E+02 0.390E+02 0.100E+01
0.876E+02 0.391E+02 0.390E+02 0.900E+00
0.881E+02 0.393E+02 0.390E+02 0.900E+00
0.886E+02 0.393E+02 0.390E+02 0.700E+00
0.891E+02 0.394E+02 0.390E+02 0.700E+00
0.896E+02 0.395E+02 0.390E+02 0.600E+00
0.901E+02 0.394E+02 0.390E+02 0.500E+00
0.906E+02 0.396E+02 0.390E+02 0.600E+00
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0.195E+04 0.437E+02 0.390E+02 0.120E+01
0.195E+04 0.437E+02 0.390E+02 0.130E+01
0.195E+04 0.437E+02 0.390E+02 0.130E+01
0.195E+04 0.437E+02 0.390E+02 0.130E+01
0.195E+04 0.436E+02 0.390E+02 0.130E+01
0.195E+04 0.437E+02 0.390E+02 0.140E+01
0.195E+04 0.436E+02 0.390E+02 0.130E+01
0.195E+04 0.437E+02 0.390E+02 0.140E+01
0.196E+04 0.437E+02 0.390E+02 0.130E+01
0.196E+04 0.437E+02 0.390E+02 0.130E+01
0.196E+04 0.437E+02 0.390E+02 0.130E+01
0.196E+04 0.436E+02 0.390E+02 0.130E+01
0.196E+04 0.437E+02 0.390E+02 0.140E+01
0.196E+04 0.438E+02 0.390E+02 0.130E+01
0.196E+04 0.437E+02 0.390E+02 0.120E+01
0.196E+04 0.438E+02 0.390E+02 0.130E+01
0.196E+04 0.438E+02 0.390E+02 0.120E+01
0.196E+04 0.439E+02 0.390E+02 0.120E+01
0.196E+04 0.439E+02 0.390E+02 0.110E+01
0.196E+04 0.439E+02 0.390E+02 0.110E+01
0.196E+04 0.438E+02 0.390E+02 0.110E+01
0.196E+04 0.439E+02 0.390E+02 0.120E+01
0.196E+04 0.439E+02 0.390E+02 0.110E+01
0.196E+04 0.439E+02 0.390E+02 0.110E+01
0.196E+04 0.438E+02 0.390E+02 0.110E+01
0.196E+04 0.438E+02 0.390E+02 0.120E+01
0.196E+04 0.439E+02 0.390E+02 0.120E+01
0.196E+04 0.438E+02 0.390E+02 0.110E+01
0.197E+04 0.438E+02 0.390E+02 0.120E+01
0.197E+04 0.438E+02 0.390E+02 0.120E+01
0.197E+04 0.438E+02 0.390E+02 0.120E+01
0.197E+04 0.438E+02 0.390E+02 0.120E+01
0.197E+04 0.437E+02 0.390E+02 0.120E+01
0.197E+04 0.438E+02 0.390E+02 0.130E+01
0.197E+04 0.436E+02 0.390E+02 0.120E+01
0.197E+04 0.437E+02 0.390E+02 0.140E+01
0.197E+04 0.437E+02 0.390E+02 0.130E+01
0.197E+04 0.437E+02 0.390E+02 0.130E+01
0.197E+04 0.437E+02 0.390E+02 0.130E+01
0.197E+04 0.436E+02 0.390E+02 0.130E+01
0.197E+04 0.437E+02 0.390E+02 0.140E+01
0.197E+04 0.437E+02 0.390E+02 0.130E+01
0.197E+04 0.436E+02 0.390E+02 0.130E+01
0.197E+04 0.436E+02 0.390E+02 0.140E+01
0.197E+04 0.436E+02 0.390E+02 0.140E+01
0.197E+04 0.436E+02 0.390E+02 0.140E+01
0.197E+04 0.436E+02 0.390E+02 0.140E+01
0.197E+04 0.436E+02 0.390E+02 0.140E+01
0.198E+04 0.436E+02 0.390E+02 0.140E+01
0.198E+04 0.434E+02 0.390E+02 0.140E+01
0.198E+04 0.434E+02 0.390E+02 0.160E+01
0.198E+04 0.434E+02 0.390E+02 0.160E+01
0.198E+04 0.434E+02 0.390E+02 0.160E+01
0.198E+04 0.434E+02 0.390E+02 0.160E+01
0.198E+04 0.436E+02 0.390E+02 0.160E+01
0.198E+04 0.436E+02 0.390E+02 0.140E+01
0.198E+04 0.436E+02 0.390E+02 0.140E+01
0.198E+04 0.436E+02 0.390E+02 0.140E+01
0.198E+04 0.436E+02 0.390E+02 0.140E+01
0.198E+04 0.436E+02 0.390E+02 0.140E+01
0.198E+04 0.436E+02 0.390E+02 0.140E+01
0.198E+04 0.437E+02 0.390E+02 0.140E+01
0.198E+04 0.437E+02 0.390E+02 0.130E+01
0.198E+04 0.438E+02 0.390E+02 0.130E+01
0.198E+04 0.438E+02 0.390E+02 0.120E+01
0.198E+04 0.438E+02 0.390E+02 0.120E+01
0.198E+04 0.438E+02 0.390E+02 0.120E+01
0.198E+04 0.438E+02 0.390E+02 0.120E+01
0.199E+04 0.439E+02 0.390E+02 0.120E+01
0.199E+04 0.438E+02 0.390E+02 0.110E+01
0.199E+04 0.439E+02 0.390E+02 0.120E+01
0.199E+04 0.439E+02 0.390E+02 0.110E+01
0.199E+04 0.439E+02 0.390E+02 0.110E+01
0.199E+04 0.438E+02 0.390E+02 0.110E+01
0.199E+04 0.438E+02 0.390E+02 0.120E+01
0.199E+04 0.438E+02 0.390E+02 0.120E+01
0.199E+04 0.438E+02 0.390E+02 0.120E+01
0.199E+04 0.437E+02 0.390E+02 0.120E+01
0.199E+04 0.438E+02 0.390E+02 0.130E+01
0.199E+04 0.437E+02 0.390E+02 0.120E+01
0.199E+04 0.438E+02 0.390E+02 0.130E+01
0.199E+04 0.437E+02 0.390E+02 0.120E+01
0.199E+04 0.437E+02 0.390E+02 0.130E+01
0.199E+04 0.437E+02 0.390E+02 0.130E+01
0.199E+04 0.437E+02 0.390E+02 0.130E+01
0.199E+04 0.437E+02 0.390E+02 0.130E+01
0.199E+04 0.437E+02 0.390E+02 0.130E+01
0.199E+04 0.437E+02 0.390E+02 0.130E+01
0.200E+04 0.437E+02 0.390E+02 0.130E+01
0.200E+04 0.438E+02 0.390E+02 0.130E+01
0.200E+04 0.438E+02 0.390E+02 0.120E+01
0.200E+04 0.438E+02 0.390E+02 0.120E+01
0.200E+04 0.438E+02 0.390E+02 0.120E+01
0.200E+04 0.438E+02 0.390E+02 0.120E+01
0.200E+04 0.439E+02 0.390E+02 0.120E+01
0.200E+04 0.440E+02 0.390E+02 0.110E+01
0.200E+04 0.440E+02 0.390E+02 0.100E+01
0.200E+04 0.440E+02 0.390E+02 0.100E+01
|
aa52c016a505ddec4089b3a2d7cd04d1dd38a9f8 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2204/CH4/EX4.1/ex4_1.sce | 59d4fcce4b754ea4585d9c1b0b54fcb258aa2c90 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 267 | sce | ex4_1.sce | //Exa 4.1
clc;
clear;
close;
// Given data
R1= 1;// in kΩ
R2= 1;// in kΩ
R3= 1;// in kΩ
RF= 1;// in kΩ
Vin1= 2;// in volt
Vin2= 1;// in volt
Vin3= 4;// in volt
Vout= -(RF/R1*Vin1+RF/R2*Vin2+RF/R3*Vin3)
disp(Vout,"The output voltage in volts is : ")
|
9c2ea9c3cccb39d288f14446a6c4e9cbe830b581 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3588/CH3/EX3.3/EX3_3.sce | 8691ebbd380d311abf823694622cd271c638ae4e | [] | 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 | 1,941 | sce | EX3_3.sce | //Clearing Console
clc
clear
//First, note that the 3-D truss with four nodes has 12 possible displacements. However,
//since nodes 1–3 are fixed, nine of the possible displacements are known to be zero. There-
//fore, we need assemble only a portion of the system stiffness matrix to solve for the three
//unknown displacements.
//Calculating Elemental Stiffness Matrices
for i=1:3
if i==1 then
cx=0.8
cy=0
cz=-0.6
K1=3*10^5*[cx^2 cx*cy cx*cz -cx^2 -cx*cy -cx*cz;cx*cy cy^2 cy*cz -cx*cy -cy^2 -cy*cz;cx*cz cy*cz cz^2 -cx*cz -cy*cz -cz^2;-cx^2 -cx*cy -cx*cz cx^2 cx*cy cx*cz;-cx*cy -cy^2 -cy*cz cx*cy cy^2 cy*cz;-cx*cz -cy*cz -cz^2 cx*cz cy*cz cz^2]
end
if i==2 then
cx=0.8
cy=0
cz=0.6
K2=3*10^5*[cx^2 cx*cy cx*cz -cx^2 -cx*cy -cx*cz;cx*cy cy^2 cy*cz -cx*cy -cy^2 -cy*cz;cx*cz cy*cz cz^2 -cx*cz -cy*cz -cz^2;-cx^2 -cx*cy -cx*cz cx^2 cx*cy cx*cz;-cx*cy -cy^2 -cy*cz cx*cy cy^2 cy*cz;-cx*cz -cy*cz -cz^2 cx*cz cy*cz cz^2]
end
if i==3 then
cx=0.8
cy=0.6
cz=0
K3=3*10^5*[cx^2 cx*cy cx*cz -cx^2 -cx*cy -cx*cz;cx*cy cy^2 cy*cz -cx*cy -cy^2 -cy*cz;cx*cz cy*cz cz^2 -cx*cz -cy*cz -cz^2;-cx^2 -cx*cy -cx*cz cx^2 cx*cy cx*cz;-cx*cy -cy^2 -cy*cz cx*cy cy^2 cy*cz;-cx*cz -cy*cz -cz^2 cx*cz cy*cz cz^2]
end
end
//Calculating required elements of global Stiffness Matrix
K([10:12],[10:12]) = [K1(4,4)+K2(4,4)+K3(4,4) K1(4,5)+K2(4,5)+K3(4,5) K1(4,6)+K2(4,6)+K3(4,6); K1(4,5)+K2(4,5)+K3(4,5) K1(5,5)+K2(5,5)+K3(5,5) K1(5,6)+K2(5,6)+K3(5,6); K1(4,6)+K2(4,6)+K3(4,6) K1(5,6)+K2(5,6)+K3(5,6) K1(6,6)+K2(6,6)+K3(6,6)]
//Constructing required Force matrix
F([10:12],1)=[0;-5000;0]
//Solving for node 4 displacements
U(10:12,1)=linsolve(K(10:12,10:12),-F(10:12,1)) //K*U=F (equlibrium equation)
//Printing Results
printf('\nResults\n')
printf('\nNode-4 Displacement Components \nUx=%fin \nUy=%fin \nUz=%fin',U(10,1),U(11,1),U(12,1))
|
a2eab41e87d54f89c12c0145c690720339a87bc6 | c4dc71508b28a2e15187e1b742173168eda9ab86 | /item_swap.sce | ae43d001436d7804abeba99043fa7a5b458c052c | [] | no_license | ximarx/calcolo-numerico | 103fc59093a2688e8d6224ecdf21d0ce9f3768e3 | bca493091417b8f27131a59a2b3a20c30e31b90f | refs/heads/master | 2020-06-06T05:34:35.065166 | 2012-06-23T06:39:27 | 2012-06-23T06:39:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 188 | sce | item_swap.sce | function A=item_swap(A,r,s,col)
// eseguo lo swap dell'elemento in posizione r,col con
// con quello in posizione s,col
tmp=A(r,col)
A(r,col)=A(s,col)
A(s,col)=tmp
endfunction |
253c988ec2b4be1f95c613af68ba282d927601f6 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1106/CH4/EX4.6/ex4_6.sce | a4711ff3db9b3047ef0f5aac926c2294b50f1b43 | [] | 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 | ex4_6.sce | // Example 4.6, Page No-192
clear
clc
Rf=10*10^3
RL=2000
Vi=0.5
IL=Vi/Rf
IL=IL*10^6
printf("Current IL= %d uA", IL)
IL=IL/10^6
Vmax=IL*RL + IL*Rf
printf("\nVmax= %.2f V", Vmax)
printf("\nHence output clipping doesnot occur")
|
190bf9bc82e7d8fe696df5f6ebb72ccefe5a468e | 449d555969bfd7befe906877abab098c6e63a0e8 | /3137/CH17/EX17.10/Ex17_10.sce | 7eb7008721bc2954c16a09d90b827a80494a96ea | [] | 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 | 173 | sce | Ex17_10.sce | //Initilization of variables
speed=90000 //m/h
P=100*1000 //N
//Calculations
Power=P*((speed)/3600) //J/s
//Result
clc
printf('The power developed is %fJ/s',Power)
|
8fbfd87818e78894f8f57b49a3e079fb35866ddf | 5f48beee3dc825617c83ba20a7c82c544061af65 | /tests/s/52.tst | abe7705ccfde4de85aed38f2764370fbfd0ce601 | [] | 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 | 34 | tst | 52.tst | int f(void)
{
}
int f(void)
{
} |
ef3ffa2f99ac3281b8b0d299f46ad638d51e0f7a | 449d555969bfd7befe906877abab098c6e63a0e8 | /181/CH7/EX7.21/example7_21.sce | f11228f319423b12f5ac2607fa96a3c49a01d09c | [] | 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 | 396 | sce | example7_21.sce | // Calculate dynamic resistance
// Basic Electronics
// By Debashis De
// First Edition, 2010
// Dorling Kindersley Pvt. Ltd. India
// Example 7-21 in page 328
clear; clc; close;
// Given data
mu=80; // Amplification factor
gm=400*10^-6; // Transconductance in micro-mho
// Calculation
rd=mu/gm;
printf("Dynamic resistance Rd = %0.1e ohm",rd);
// Result
// Rd = 0.2*10^6 ohm |
5add41c2118b79e8b66b6435a32260bbdc0ef36c | 5887829f5a0a005033807cf7dc4fb7231eb280ec | /Listing/chapter 4/Listing4115.sce | 059a24a78bcf9033e873f9b0bfba74877fe825c4 | [] | no_license | joaolrneto/learning_scilab | 78ecc0019f167b57bc35647c4ac785ece01e443e | 9624c9a6736860a8a836b0f801256b6224756585 | refs/heads/main | 2023-03-17T22:17:51.853368 | 2021-03-15T20:58:34 | 2021-03-15T20:58:34 | 344,478,059 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 94 | sce | Listing4115.sce | clc
clear
close
x = 0:.1:10;
plot(x,sin(x),'r');
plot(x,cos(x),'b');
legend('sin x','cos x');
|
d90063a4c4912788a0fec4789e1220c95b31736a | 449d555969bfd7befe906877abab098c6e63a0e8 | /3511/CH9/EX9.2/Ex9_2.sce | 16ee79351ea19d415eb690136baedabd685b66f6 | [] | 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 | 1,303 | sce | Ex9_2.sce | clc;
P1=1.0132; // Inlet air pressure in bar
T01=288; // Inlet air temperature in kelvin
ca=150; // axial velocity in m/s
dtip=60; // Tip diameter of rotor in cm
dhub=50; // Hub diameter of rotor in cm
N=100; // Speed of rotor in rps
t_angle=30; // Deflected angle of air in degree (in question it is 30.2 but in solution it is 30)
P2_P1=1.2; // Stage pressure ratio
Cp=1005; // Specific heat in J/kg K
r=1.4; // Specific heat ratio
R=287; // Characteristic gas constant in J/kg K
u=(3.142857*(dhub+dtip)*10^-2*N)/2; // Mean blade velocity
beta_1=atand(u/ca); // Blade angle at inlet
beta_2=beta_1-t_angle; // As air is deflected by 30
// from velocity triangle
x=ca*tand(beta_2);
alpha_2=atand ((u-x)/ca);
C1=ca;
T1=T01-(C1^2/(2*Cp)); // Static temperature at inlet
P2=P1*P2_P1; // Pressure at outlet
T2=T1*(P2/P1)^((r-1)/r); // Static temperature at outlet
row_2=(P2*10^5)/(R*T2); // Density at outlet
m=3.14*(dtip^2-dhub^2)*ca*row_2*10^-4/4; // Mass flow rate
wf=1; // Work factor
P=wf*u*ca*m*(tand(beta_1)-tand(beta_2))/1000; // Power developed
R=ca*(tand(beta_1)+tand(beta_2))/(2*u); // Degree of reaction
disp ("kg/s",m,"Mass flow rate = ");
disp("kW (Error due to more decimal values in expression)",P,"Power developed = ");
disp (R,"Degree of Reaction = ");
|
8981370d005fd88745205230ac47816121437966 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2660/CH14/EX14.13/Ex14_13.sce | f19d662c1e37c3ba295ac4cdaa0e861a896b675d | [] | 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 | 750 | sce | Ex14_13.sce | clc
alphab = 8 // back rake in degree
alphas = 4 // side rake in degree
cs = 15 // side cutting edge angle in degree
lemda = 90 - cs // approach angle in degree
alphab = alphab*%pi/180 // back rake in radian
alphas = alphas*%pi/180 // side rake in radian
cs = cs*%pi/180 // side cutting edge angle in radian
lemda = lemda*%pi/180 // approach angle in radian
alpha = atan(tan(alphas)*sin(lemda)+tan(alphab)*cos(lemda)) // orthogonal rake angle in radian
alpha = alpha*180/%pi // orthogonal rake angle in degree
i = atan(sin(lemda)*tan(alphab)-cos(lemda)*tan(alphas)) // inclnation angle in radian
i = i*180/%pi // inclnation angle in degree
printf("\n Othogonal rake angle = %0.2f degree\n Inclination angle = %0.1f degree" , alpha , i)
|
00d803f9874713609ed5994d6d698409eeffa358 | 0592c9e4cfbb77a0755aff6f0c798d9fe31f6ff4 | /scilab/Calibration_Equity/src/PDEDupire/src/vprice.sci | cac6fb00220d324ffe40c6a0e8314659164993ad | [] | no_license | FinancialEngineerLab/premia-13-cpp_FICC | e19caa6a9cadb4ad1361053efc0dfc9418071cf9 | e271da627dbfc8c2c1f7e9f700766544f64c72b2 | refs/heads/master | 2023-03-16T11:11:26.830681 | 2016-04-19T05:58:16 | 2016-04-19T05:58:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 2,563 | sci | vprice.sci | function []=vprice()
//
// MATHFI Project, Inria Rocquencourt.
// Jean-Marc Cognet, November 2002.
//
// VALEURS PAR DEFAUT DES PARAMETRES :
// strfic = 'sigmaest.visu'; nom du fichier contenant les prix
// option = 2; 1 --> projection 2D, 2 --> surface, 3 --> coupe
// coul = 'y'; 'n' pour noir et blanc
// langage = 'f'; 'e' pour english
//
// kmin, kmax, tmin, tmax, vmin, vmax peuvent etre definis avant
// l'appel de vprice. Sinon (i.e si ils n'existent pas), ils
// prennent des valeurs par defaut en fonction de veck, veckt et matv
//
// EXEMPLES :
// clear ; strfic = 'sigmaest.visu';
// kmin = 75 ; kmax = 125 ; option = 1 ; vprice
//
//! Not enough information using mtlb_exist instead of exists
if mtlb_exist('strfic')==0 then
// si strfic n'existe pas
strfic = 'dupiresprices.visu';
end
//! Not enough information using mtlb_exist instead of exists
if mtlb_exist('option')==0 then
option = 2;
end
//! Not enough information using mtlb_exist instead of exists
if mtlb_exist('coul')==0 then
coul = 'y';
end
//! Not enough information using mtlb_exist instead of exists
if mtlb_exist('langage')==0 then
langage = 'f';
end
//
valdef = -9999;
//
//! Not enough information using mtlb_exist instead of exists
if mtlb_exist('kmin')==0 then
kmin = valdef;
end
//! Not enough information using mtlb_exist instead of exists
if mtlb_exist('kmax')==0 then
kmax = valdef;
end
//! Not enough information using mtlb_exist instead of exists
if mtlb_exist('tmin')==0 then
tmin = valdef;
end
//! Not enough information using mtlb_exist instead of exists
if mtlb_exist('tmax')==0 then
tmax = valdef;
end
//! Not enough information using mtlb_exist instead of exists
if mtlb_exist('vmin')==0 then
vmin = valdef;
end
//! Not enough information using mtlb_exist instead of exists
if mtlb_exist('vmax')==0 then
vmax = valdef;
end
//
//! Not enough information using mtlb_exist instead of exists
//! Not enough information using mtlb_exist instead of exists
//! Not enough information using mtlb_exist instead of exists
//! Not enough information using mtlb_exist instead of exists
//! Not enough information using mtlb_exist instead of exists
if ((((mtlb_exist('n')==0)&(mtlb_exist('m')==0))&(mtlb_exist('veck')==0))&(mtlb_exist('vect')==0))&(mtlb_exist('matv')==0) then
//!! Unknown variable recup ,the original calling sequence is used
[n,m,veck,vect,matv] = recup(strfic);
end
//
hdl = visu(veck,vect,matv,kmin,kmax,tmin,tmax,vmin,vmax,option,coul,langage);
|
9c7ec97f7d5c700b04ceedb999c601568dad0f3b | 8217f7986187902617ad1bf89cb789618a90dd0a | /source/2.4.1/macros/elem/sqrtm.sci | 53c3bd52cb62902bfc0bbce05468ca55b60b0e90 | [
"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 | 236 | sci | sqrtm.sci | function x=sqrtm(a)
// sqrtm - computes the matrix square root.
//%CALLING SEQUENCE
// x=sqrtm(a)
//%PARAMETERS
// a : square hermitian or diagonalizable matrix
// x : square matrix
//!
// Copyright INRIA
x=%s_pow(a,0.5);
|
732a935b2bdb547c81669595fac872a5533c7e36 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1979/CH10/EX10.2/Ex10_2.sce | bec58f0a9e186438fc111e4a515275419370633c | [] | 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 | 596 | sce | Ex10_2.sce | //chapter-10 page 486 example 10.2
//==============================================================================
clc;
clear;
r=6370*10^3;//radius of the earth in m
x=-0.05*10^(-6);//the gradient of refractive index of air near the ground per m [du/dh]
//CALCULATION
k=1/(1+(r*x));//The value of the factor by which the horizon distance of a transmitter will be modified
//OUTPUT
mprintf('\nThe value of the factor by which the horizon distance of a transmitter will be modified is k=%1.4f',k);
//=========================END OF PROGRAM===================================
|
e04bf328e0ddbbe950a059a8b280563ee80e7e78 | a62e0da056102916ac0fe63d8475e3c4114f86b1 | /set12/s_High_Voltage_Engineering_C._L._Wadhwa_3487.zip/High_Voltage_Engineering_C._L._Wadhwa_3487/CH7/EX7.5/Ex7_5.sce | c0ecff4798a0747dbf3d51cba3df8cfbcfecde19 | [] | 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 | 196 | sce | Ex7_5.sce | errcatch(-1,"stop");mode(2);//Chapter 7,Example 7.5 Page 226
E = 500
Z = 350
L = 800
E1 = E*(1-exp(-(2*Z/L)*2))
printf (" E'' = %f kV \n",E1)
//Answers may vary due to round off error
exit();
|
101c0f00c67d963ecddf1a1cca3bd3c85715738c | ff375d9d37f5b412a0d9f81d11c76d6a43bfd868 | /packages/generator-radic/generators/build-tools/templates/webpack.gulpfile.tst | 24fa00e5a3b253f9217216c7f4217fe3ab76494d | [] | no_license | RobinRadic/react-packages | 5378e6465ed421eeb96a153d66ea3ad6c7171754 | 414f28fe2ee12df4543c2e6ce1aebaeec1982684 | refs/heads/master | 2020-04-01T22:35:46.997480 | 2018-12-24T18:30:52 | 2018-12-24T18:30:52 | 153,716,374 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 1,592 | tst | webpack.gulpfile.tst | import { mixin } from '@radic/build-tools'
import { gulp, Gulpclass, GulpEnvMixin, GulpInteractiveMixin, Task } from '@radic/build-tools-gulp'
import { build, GulpWebpackMixin, serve } from '@radic/build-tools-webpack'
export interface Gulpfile extends GulpEnvMixin, GulpInteractiveMixin, GulpWebpackMixin {}
@Gulpclass(gulp)
@mixin(GulpEnvMixin)
@mixin(GulpInteractiveMixin)
@mixin(GulpWebpackMixin)
export class Gulpfile {
@Task('default')
async default() {
let choice = await this.list('Select task', [ 'dev:build', 'prod:build' ]);
if ( choice === 'dev:build' ) {
return this.devBuild();
} else if ( choice === 'prod:build' ) {
return this.prodBuild();
}
}
@Task('prod:serve')
async prodServe() {
this.prod()
await this.serve();
}
@Task('prod:build')
async prodBuild() {
this.prod();
await this.build();
await this.purify();
this.reportBundleSize();
this.minify();
this.reportFileSizes();
}
@Task('dev:serve')
async devServe() {
this.dev()
await this.serve();
}
@Task('dev:build')
async devBuild() {
this.dev()
await this.build();
}
protected async serve() {
return serve(this.webpack.chain);
}
protected async build() {
return build(this.webpack.chain);
}
protected get webpack() {
if ( ! this.runnedEnv ) throw new Error('First set env before getting webpack config');
return require('./webpack.config');
}
}
|
58d31391313432850d71b31e7cfaf477c53a894f | b4bbf9b2a475b5cf299b30bf5e0c621e32f6c832 | /test/solver/win4.tst | 4df607ab10ff962fef82f1b966c78fa888fcb83a | [] | no_license | apetresc/castro | 1ec1ac1307542487aa1be14c335170f7a1347bf2 | 843165af7c946188a2dd772384cd2d579723c99d | refs/heads/master | 2022-02-20T14:28:41.962893 | 2019-10-07T08:41:59 | 2019-10-07T08:41:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 45 | tst | win4.tst | hguicoords
boardsize 4
playgame b1 d2 a2 e4
|
c5eb1ca4d5ceaf23556b12f7198e13b8c76d270c | 449d555969bfd7befe906877abab098c6e63a0e8 | /1697/CH10/EX10.2/Exa10_2.sce | febfe374964106c8e856732a7f0000a9054589fc | [] | 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 | 489 | sce | Exa10_2.sce | //Exa 10.2
clc;
clear;
close;
//given data :
n=0.8;//in m
H=500;//in km
a=6370;//in km
D=1349.07;//in Km
f_muf=10;//in MHz
f_muf=f_muf*10^6;//in Hz
f=10;//in MHz
f=f*10^6;//in Hz
// Formula : n=sqrt(1-81*N/f^2)
Nmax=(1-n^2)*f^2/81;//in Hz;
fc=9*sqrt(Nmax);//in Hz
// Formula : f_muf/fc=sqrt(D^2/(4*(H+D^2/(8*a))))+1
D1=2*[H+D^2/(8*a)]*sqrt((f_muf/fc)^2-1);//in Km
Dskip=2*H*sqrt((f_muf/fc)^2-1);//in Km
disp(D1,"Assuming the earth is curved the ground range in Km : "); |
849da67a683a42b0f7c7d412c47dabd0c26abedb | 449d555969bfd7befe906877abab098c6e63a0e8 | /1223/CH10/EX10.11/Ex10_11.sce | 444556b97fa2f2147af74f571195475fbbe32654 | [] | 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 | 386 | sce | Ex10_11.sce | clear;
clc;
//Example 10.11
Van=120;
Vap=80;
Vt=0.026;
Ico=0.001;
//Rl=infinity
Av=-(1/Vt)/(1/Van+1/Vap);
printf('\nsmall signal open circuit voltage gain=%.2f\n',Av)
Rl=100;
Av1=-(1/Vt)/(1/Van+1/Vap+1/Rl);
printf('\nsmall signal open circuit voltage gain=%.2f\n',Av1)
Rl=10;
Av2=-(1/Vt)/(1/Van+1/Vap+1/Rl);
printf('\nsmall signal open circuit voltage gain=%.2f\n',Av2)
|
75f31e297d9eb209528b689517e2c0ea52ab6605 | 1573c4954e822b3538692bce853eb35e55f1bb3b | /DSP Functions/allpassrateup/test_1.sce | b9501de1f5301f4afa4f245080d9016e96b1b4c2 | [] | no_license | shreniknambiar/FOSSEE-DSP-Toolbox | 1f498499c1bb18b626b77ff037905e51eee9b601 | aec8e1cea8d49e75686743bb5b7d814d3ca38801 | refs/heads/master | 2020-12-10T03:28:37.484363 | 2017-06-27T17:47:15 | 2017-06-27T17:47:15 | 95,582,974 | 1 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 229 | sce | test_1.sce | // Test # 1 : No Input Arguments
exec('./allpassrateup.sci',-1);
[n,d]=allpassrateup();
//!--error 10000
//Number of input arguments should be 1
//at line 25 of function allpassrateup called by :
//[n,d]=allpassrateup();
|
f2a3d137f034f7413dfcf85b068b8869a61a941d | 449d555969bfd7befe906877abab098c6e63a0e8 | /2219/CH11/EX11.18/Ex11_18.sce | 4f481ddffdf3606becf5cf20e0e541d7b5a9f003 | [] | 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 | 764 | sce | Ex11_18.sce | // Chapter 11 example 18
//------------------------------------------------------------------------------
clc;
clear;
// Given data
H = 35786; // ht of orbit from earth surface
Re = 6378 // radius of earth in kms
// Calculations
// For theoretical max coverage angle,elevation angle E = 0
E = 0
// max coverage angle = 2amax
// 2amax = 2asin(Re/(Re+H)cosE)
amax = 2*asin((Re/(Re+H))*cos(E))
amax_deg = amax*180/%pi // rad to deg conversion
D = sqrt( Re^2 + (Re+H)^2 - 2*Re*(Re + H)*asin(E + asin((Re/(Re+H))*cos(E)))) // Max slant range
// Output
mprintf('Maximum Coverage angle = %3.1f°\n Maximum slant Range = %d Km',amax_deg,D);
//--------------------------------------------------------------------------------
|
8309ccbd54009a19487ad90795a42783d8f3d183 | 449d555969bfd7befe906877abab098c6e63a0e8 | /125/CH3/EX3.3/Example3_3.sce | b7e620e548e85c5c68fdceac293819b219ac81f6 | [] | 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 | 391 | sce | Example3_3.sce | //Caption: 2-D Linear Convolution
//Example3.3 & Example3.6 & Example3.10
//page 100 & page 109 & page 119
clc;
x =[1,2,3;4,5,6;7,8,9];
h = [3,4,5];
y = conv2d2(x,h);
disp(y,'Linear 2D convolution result y =')
//Result
//Linear 2D convolution result y =
//
// 3. 10. 22. 22. 15.
// 12. 31. 58. 49. 30.
// 21. 52. 94. 76. 45. |
353201a2331dfb117fe991265fba7c77be038d9c | 006a2b1bdbcab37127ae402052015521febc527b | /selection.sci | b4efc63d39b6b0f3a5b572e39da17ac782419554 | [] | no_license | andrerodrig/GeneticAlgorithms | 55f3bdfb8e17f05539136861c1c7af17a59d6262 | bc4724584788893b4cd0780d0b2f79b0455940cd | refs/heads/main | 2023-03-31T20:02:17.147452 | 2021-04-03T17:55:48 | 2021-04-03T17:55:48 | 354,190,959 | 1 | 0 | null | 2021-04-03T17:55:49 | 2021-04-03T03:35:48 | Scilab | UTF-8 | Scilab | false | false | 1,115 | sci | selection.sci | function [selected_matrix] = selection(evaluated_vect)
// Função responsável por selecionar os indivíduos para recombinação genética.
n_cromoss = size(evaluated_vect)(1);
n_crossover = ceil(n_cromoss/2);
roulette = zeros(n_crossover, 2);
total_evaluations = sum(evaluated_vect);
percentual_evaluations = evaluated_vect./total_evaluations
distributed_percentual_evaluations = cumsum(percentual_evaluations);
selected_matrix = spin_roulette(n_crossover, distributed_percentual_evaluations);
endfunction
function [selected] = spin_roulette(total_crossovers, cumulative_percentuals)
roulette = zeros(total_crossovers, 2);
for i = 1:total_crossovers
for j = 1:2
spin = rand();
selected_elmements = min(find(cumulative_percentuals >= spin))
roulette(i,j) = selected_elmements
end
while roulette(i,1) == roulette(i,2)
selected_elmements = min(find(cumulative_percentuals >= rand()))
roulette(i,2) = selected_elmements
end
end
selected = return(roulette);
endfunction |
2677cf1346b52d7c25e5c0aa3336fe210b271c7b | 8217f7986187902617ad1bf89cb789618a90dd0a | /source/2.1.1/macros/calpol/rowcompr.sci | 006afc5a4b5562665742309c7ccc9c36c13d366f | [
"LicenseRef-scancode-public-domain",
"LicenseRef-scancode-warranty-disclaimer",
"MIT"
] | permissive | clg55/Scilab-Workbench | 4ebc01d2daea5026ad07fbfc53e16d4b29179502 | 9f8fd29c7f2a98100fa9aed8b58f6768d24a1875 | refs/heads/master | 2023-05-31T04:06:22.931111 | 2022-09-13T14:41:51 | 2022-09-13T14:41:51 | 258,270,193 | 0 | 1 | null | null | null | null | UTF-8 | Scilab | false | false | 317 | sci | rowcompr.sci | function [X,rk,Ac]=rowcompr(A)
//[X,rk,Ac]=rowcompr(A)
//row compression of polynomial matrix A (toward the bottom)
//X left polynomial unimodular base
//rk=normal rank of A
//Ac = X*A
//Warning: elimination of neglected terms
//!
[n,m]=size(A);
[Ac,U,rk]=htrianr(A');
Ac=Ac';
X=U';
X=X(n:-1:1,:)
Ac=Ac(n:-1:1,:)
|
956258ff8365ca48a6eb1b40095628c75df3d2d5 | b80969c9d72c732b0153d0de2b8fd28dc10d8a16 | /Biologie/Site/sauvegarde/28.07.2016/www/Documents/simulation/equationDifferentielle/chapitre3/ex10q2.sci | 3fa817b5b8282d3f561d0bf92bad5087baa59ff3 | [] | no_license | adamdepossylux/stem_cells | 6a2596a0734e3604b570cfdaa1e6cb798d13d7b7 | e1ffdf24a223fea3a3606a0bd262067edc81f5b9 | refs/heads/master | 2020-04-01T17:26:21.772875 | 2017-05-10T15:15:09 | 2017-05-10T15:15:09 | 61,795,551 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 329 | sci | ex10q2.sci | function[y]=f2(t,u)
y(1)=u(2);
y(2)=-4*u(2)-3*u(1);
endfunction
N=101;
t0=0;
t=linspace(t0,5,N);
h=(5-0)/(N-1);
y2=zeros(2,N);
y2(:,1)=[1;1];
for i=1:N-1
yd=y2(:,i)+h*f2(t(i),y2(:,i));
y2(:,i+1)=y2(:,i)+(h/2)*(f2(t(:,i),y2(:,i))+f2(t(:,i+1),yd));
end
plot2d(t,y2(1,:),5)
plot2d(t,y2(2,:),3)
legend(['1','2'],3)
|
f3f1bb90fc293f46fed4e238c3cadaf83f1a6287 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1655/CH4/EX4.15.10/Example_4_15_10.sce | 0687dc50dc9098b8a009a0a263106783602967b9 | [] | 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 | 764 | sce | Example_4_15_10.sce | // Example 4.15.10 page 4.42
clc;
clear;
tau=0.1d-6; //pulse broadning
dist=18d3; //distance
Bopt=1/(2*tau); //computing optical bandwidth
Bopt=Bopt*10^-6;
dispertion=tau/dist; //computing dispersion
dispertion=dispertion*10^12;
BLP=Bopt*dist; //computing Bandwidth length product
BLP=BLP*10^-3;
printf("\noptical bandwidth is %d MHz.\nDispersion per unit length is %.1f ns/km.\nBandwidth length product is %d MHz.km",Bopt,dispertion,BLP);
printf("\nNOTE - printing mistake in the book at dispersion per unit length.\nThey have printed ps/km; it should be ns/km");
//printing mistake in the book at dispersion per unit length.They have printed ps/km; it should be ns/km.
//answer in the book 5.55 ps/km (incorrect)
|
c6d59c1269d289f0edc0f570f70e15d28b82da19 | e8bcf3f9ffdfb367940fb9ed498b1c598ce92e65 | /fn2.sci | 932be27fbf29671a940942e5a39af741e489cb72 | [] | no_license | yoddha24/Intro-to-Scilab | 1fe25aee3ebd319bc2c9e2cf7c25d7050b09890e | 4c458c1bea6880839ebae07adfd39dea0eac4e2c | refs/heads/master | 2021-01-20T18:24:05.191473 | 2016-08-08T13:45:16 | 2016-08-08T13:45:16 | 65,207,356 | 1 | 1 | null | null | null | null | UTF-8 | Scilab | false | false | 80 | sci | fn2.sci | function [y1,y2,y3] = fn2 (x,y)
y1 = x - y;
y2 = x + y;
y3 = y - x;
endfunction
|
dcb5872fda3edefd479560859e46170642b12c57 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1962/CH2/EX2.15/example2_15.sce | a27624a5071c97a9763ee0463400cbafa48ea965 | [] | 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 | 295 | sce | example2_15.sce |
//example 2.15
//page 86
clc; funcprot(0);
//initialisation of variable
Gamma=9810;
x1=20/100/3;
x2=20/2/100;
theta=atan(4/20);
V=4*20*100/100^3/2;//volume
Fb=Gamma*V;//Force Buoyant
W=Fb-1.5;//total weight
x=(x2-x1)*cos(theta);
M=W*x;
disp(M*100,"Riding Moment (Ncm)=");
clear
|
5fa84056cbe25d67fd27ceaf2bbde981f434d1f5 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2741/CH5/EX5.10/Chapter5_Example10.sce | d00421ed3ac95e4f6969f6fd234724891007625e | [] | 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 | 708 | sce | Chapter5_Example10.sce | clc
clear
//Input data
v=1;//The volume of an ideal gas in litre
d=13.6;//The density of mercury in g/cm^3
g=980;//Gravitational constant in gms/s^2
p=76;//The pressure in cm of Hg
R=8.31*10^7;//The Universal gas constant in ergs/g mol-K
N=6.023*10^23;//The Avogadro number
T=273;//The temperature at N.T.P in K
t=136.5;//The given temperature in degree centigrade
p1=3;//The given atmospheric pressure in atm pressure
//Calculations
T1=T+t;//The given temperature in K
P=p*g*d;//The given pressure in dynes/cm^2
x=(p1*P*N*10^3)/(R*T1);//Number of molecules in one litre volume
//Output
printf('The number of molecules in one litre of an ideal gas volume is x = %3.4g ',x)
|
d53facb054a1b3d06021c115cf546d521700fc19 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1199/CH2/EX2.27/2_27.sci | ab6822be6a5b06a19c61891229c1459fc758ddb5 | [] | 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 | 345 | sci | 2_27.sci | // 2.27
clc;
Ro=3980;
Ta=273;
//3980= a*3980*exp(b/273)
Rt50=794;
Ta50=273+50;
//794= a*3980*exp(b/323)
//on solving
//a=30*10^-6, b=2843
Ta40=273+40;
Rt40=(30*10^-6)*3980*exp(2843/313);
printf("Resistance at 40 degree C= %.2f ohm ",Rt40)
Rt100=(30*10^-6)*3980*exp(2843/373);
printf("\nResistance at 100 degree C= %.2f ohm ",Rt100) |
b2feea573b4b83e520de7f9efba690d023bb88ae | f7e335e2af57c686554eb057f28ddd8d21aab1e4 | /tests/fuzz/c-wsp/0066.tst | 820a003139c044d93cbaba646123b0a2fb90440e | [
"MIT"
] | permissive | scravy/abnf | 76515bd820b3b9d8e2dbc2cec2a2f845720a6022 | cc4228f403b436cc4e34ff4d6a7def83922174be | refs/heads/master | 2023-01-09T14:30:50.095268 | 2020-06-07T16:18:09 | 2020-06-07T16:18:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 6 | tst | 0066.tst | ;{B
|
1064f7c01a7f9e1bd3b0c122dd91861bee7f42d9 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2672/CH5/EX5.14/Ex5_14.sce | f4d0bd0b2dc1683c97c6a491d371ad2913a95ddb | [] | 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 | 217 | sce | Ex5_14.sce | //Example 5_14
clc;
clear;
close;
format('v',6);
//given data :
I0=9*10^-7;//A
VF=0.1;//V
I=I0*(exp(40*VF)-1)*10^6;//micro A
disp(I,"Current flowing(micro A)");
//Answer given in the book is not accurate.
|
2fd3211d71c782c8999fac6478b6d7ec31c36d57 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1868/CH5/EX5.8/Ch05Ex8.sce | ff67183bc03f30b35fee50b25de54b153f143f41 | [] | 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 | 726 | sce | Ch05Ex8.sce | // Scilab code Ex5.8: Pg 177 (2005)
clc; clear;
h_cross = 1.05e-34; // Reduced Plank's constant, J-s
delta_x = 15; // Uncertainity in position, m
v_x = 2; // Velocity of ball, m/s
m = 100e-03; // Mass of ball, kg
delta_p_x = h_cross/(2*delta_x); // Uncertainity in momentum, kg-m/s
delta_v_x = delta_p_x/m; // Minimum spread in velcoity, m/s
U_r = delta_v_x/v_x; // Relative uncertainity in velocity of ball
printf("\nThe minimum spread in velcoity of ball = %3.1e m/s", delta_v_x);
printf("\nThe relative uncertainity in velocity of ball = %4.2e", U_r);
// Result
// The minimum spread in velcoity of ball = 3.5e-35 m/s
// The relative uncertainity in velocity of ball = 1.75e-35
|
6aec930ad1405a155ee114e5cf7272b1c5d84703 | bd4a88a5c028a801cbf0e414d2630de1c1e35449 | /scilab/ScatterPLot.sce | adf02b6c7b513bb35622b967aad8f2078648cc4f | [] | no_license | edielsonpf/turning-signal-analysis | 625783cea26b029c87925f96af4ac14aa38c8ae8 | 2fd594e79395caa72f5cebc378878367ff0e7f01 | refs/heads/master | 2021-03-13T00:01:23.673430 | 2018-12-24T14:44:39 | 2018-12-24T14:44:39 | 41,508,152 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 2,021 | sce | ScatterPLot.sce | //Limpa qualquer variável criada em outra simulação.
clear;
//fecha todos os gráficos
xdel(winsid());
Debug = 1;
SPEC_DATA_FOLDER = 'C:\Users\Edielson\Projects\Research\turning-signal-analysis\results\spectrogram\';
//===========================================================
Ms=[];
MsIndex=1;
FileIndex=1;
fid1 = mopen('file_list.txt','rt');
while ~meof(fid1) do
FileAux = mgetl(fid1,1);
disp(FileAux);
FileName = sprintf('%saverage_%s.dat',SPEC_DATA_FOLDER,FileAux);
disp(FileName);
fid2 = mopen(FileName,'rb');
val = mget(129,'d',fid2);
//Save variable
Ms(MsIndex,:)=val;
mclose(fid2);
FileIndex=FileIndex+1;
MsIndex=MsIndex+1;
end
mclose(fid1);
//X1=Ms(:,1:15)';
//X1=Ms';
if Debug == 1 then
disp(Ms);
disp(size(Ms));
end
//covariance
[pcaY,scoreY,latentY,tsquareY]=princomp(Ms);
//correlation
//[pcaY,scoreY,latentY,tsquareY]=princomp(nan_zscore(Ms));
if Debug == 1 then
disp(size(pcaY));
disp(size(scoreY));
//disp(cumsum(latentY)./sum(latentY));
//disp(scoreY(:,1:4));
//disp(pcaY);
//svwrite('pca.txt',scoreY(:,1));
//[lambda,facpr,comprinc] = pca(Ms);
//show_pca(lambda,facpr);
end
PC1=scoreY(:,1);
PC2=scoreY(:,2);
PC3=scoreY(:,3);
//=======================================================================
load ('MRR.mat','MRR');
load ('ry.mat','Ry');
load ('ra.mat','Ra');
load ('f.mat','f');
load ('vc.mat','vc');
load ('setups.mat','setups');
load ('m1.mat','m1');
load ('m2.mat','m2');
Var=f;
//X1=vc;
//X2=f;
X1=Ry;
X2=-1*PC1;
MaxLevel=max(Var);
disp(MaxLevel);
MinLevel=min(Var);
disp(MinLevel);
Step=(MaxLevel-MinLevel)/3;
disp(Step);
for i=1:length(X1)
if(Var(i)<=MinLevel+Step)
plot(X1(i),X2(i),'g.','MarkerSize',8);
elseif (Var(i)<=MinLevel+2*Step)
plot(X1(i),X2(i),'b.','MarkerSize',8);
else
plot(X1(i),X2(i),'r.','MarkerSize',8);
end
end
//plot(PC1,PC3,'b.','MarkerSize',8)
//plot(PC1,PC3,'.','MarkerSize',8,color(255,255,0));
//figure;
//plot(vc,f,'g.','MarkerSize',8)
|
f97d4b2060d207437e3240a371803b9c526cca54 | 6813325b126713766d9778d7665c10b5ba67227b | /Chapter5/Ch_5_Eg_5.7.sce | 98f76413f826ce74e3cc810c276db43f97b76750 | [] | no_license | arvindrachna/Introduction_to_Scilab | 955b2063b3faa33a855d18ac41ed7e0e3ab6bd1f | 9ca5d6be99e0536ba1c08a7a1bf4ba64620ec140 | refs/heads/master | 2020-03-15T19:26:52.964755 | 2018-05-31T04:49:57 | 2018-05-31T04:49:57 | 132,308,878 | 1 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 303 | sce | Ch_5_Eg_5.7.sce | // To change the color of a curve using the properties of various objects
x=-%pi:.2:2*%pi;
y1=sin(x); y2=cos(x); plot(x,y1,"-rx",x,y2,":gO");
a=gca();
a.grid
a.grid=[1,1];
p=a.parent;
p.background
p.background=3;
c=a.children(1).children(1);
c.foreground
c.foreground=2;
|
e542057479adadebee8b6eb36c5da35340e355fe | 46ffb5fda9448453eba4d6787a1568028b241d88 | /ABMLangangen/calibration/calibSimplexMeanSquares_04:34:20.906 PM 05-juin-2013.sci | d5fafde23dbb21feca556b1883740106cc6e7d4e | [] | no_license | JusteRaimbault/Models | f81f886dc050445dae68e933e0c052c7f9c0b59c | 52f9c28fe20c8e491fb83e22ef162256eb966d32 | refs/heads/master | 2016-09-10T23:23:05.419418 | 2013-07-30T22:02:34 | 2013-07-30T22:02:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 10,572 | sci | calibSimplexMeanSquares_04:34:20.906 PM 05-juin-2013.sci | ms=[];incomemean=[];bref=[];bnorm=[];
ms(1)=53180.1819728015;
incomemean(1)=5000;
bref(1)=5000;
bnorm(1)=5000;
ms(2)=13000;
incomemean(2)=5000;
bref(2)=5500;
bnorm(2)=5000;
ms(3)=11947.753521255074;
incomemean(3)=5000;
bref(3)=5000;
bnorm(3)=5500;
ms(4)=53180.1819728015;
incomemean(4)=5500;
bref(4)=5000;
bnorm(4)=5000;
ms(5)=10012.709973781062;
incomemean(5)=5333.333333333334;
bref(5)=4500;
bnorm(5)=5333.333333333334;
ms(6)=12465.020892283537;
incomemean(6)=5500.000000000002;
bref(6)=4000;
bnorm(6)=5500.000000000002;
ms(7)=9175.649949280265;
incomemean(7)=5555.555555555558;
bref(7)=4666.666666666668;
bnorm(7)=5555.555555555558;
ms(8)=7362.3121510092105;
incomemean(8)=5833.333333333339;
bref(8)=4500.000000000004;
bnorm(8)=5833.333333333339;
ms(9)=7283.212985210486;
incomemean(9)=5277.777777777783;
bref(9)=4333.333333333336;
bnorm(9)=6111.111111111117;
ms(10)=10212.492065343828;
incomemean(10)=5166.666666666673;
bref(10)=4000.0000000000036;
bnorm(10)=6666.666666666677;
ms(11)=15256.085396825189;
incomemean(11)=5962.962962962974;
bref(11)=3888.888888888894;
bnorm(11)=6018.518518518527;
ms(12)=7898.022128099182;
incomemean(12)=5240.740740740744;
bref(12)=4722.2222222222235;
bnorm(12)=5629.629629629631;
ms(13)=6634.5881325833625;
incomemean(13)=5567.901234567913;
bref(13)=4537.037037037041;
bnorm(13)=6382.716049382727;
ms(14)=5979.0478983345865;
incomemean(14)=5685.185185185204;
bref(14)=4555.555555555562;
bnorm(14)=6907.407407407425;
ms(15)=8065.746186476619;
incomemean(15)=5956.790123456809;
bref(15)=4203.70370370371;
bnorm(15)=6938.271604938291;
ms(16)=8399.071466764723;
incomemean(16)=5419.75308641976;
bref(16)=4592.592592592595;
bnorm(16)=5956.790123456796;
ms(17)=7887.247270145792;
incomemean(17)=5759.259259259272;
bref(17)=4527.777777777783;
bnorm(17)=6370.370370370382;
ms(18)=5950.7732248403945;
incomemean(18)=5462.962962962974;
bref(18)=4638.888888888892;
bnorm(18)=6268.518518518528;
ms(19)=6879.825918259352;
incomemean(19)=5481.481481481494;
bref(19)=4444.444444444449;
bnorm(19)=6509.259259259271;
ms(20)=6975.598828161488;
incomemean(20)=5327.160493827178;
bref(20)=4564.81481481482;
bnorm(20)=6753.086419753099;
ms(21)=8446.559759924014;
incomemean(21)=5435.185185185201;
bref(21)=4555.55555555556;
bnorm(21)=6657.40740740742;
ms(22)=6566.153535165875;
incomemean(22)=5395.061728395076;
bref(22)=4601.851851851856;
bnorm(22)=6510.802469135813;
ms(23)=6907.959398650752;
incomemean(23)=5574.074074074089;
bref(23)=4597.222222222227;
bnorm(23)=6587.962962962976;
ms(24)=6450.041927364079;
incomemean(24)=5472.2222222222335;
bref(24)=4541.666666666671;
bnorm(24)=6388.8888888889;
ms(25)=6725.831781948197;
incomemean(25)=5312.7572016461;
bref(25)=4591.049382716053;
bnorm(25)=6190.8436213991845;
ms(26)=7019.177836321539;
incomemean(26)=5378.086419753097;
bref(26)=4592.592592592596;
bnorm(26)=6290.123456790132;
ms(27)=7200.2819830847;
incomemean(27)=5429.012345679025;
bref(27)=4620.370370370374;
bnorm(27)=6389.66049382717;
ms(28)=5895.089627659454;
incomemean(28)=5387.860082304537;
bref(28)=4614.969135802472;
bnorm(28)=6229.681069958857;
ms(29)=6462.445709005549;
incomemean(29)=5467.592592592604;
bref(29)=4590.277777777781;
bnorm(29)=6328.7037037037135;
ms(30)=5282.7709788642605;
incomemean(30)=5449.931412894388;
bref(30)=4609.053497942389;
bnorm(30)=6161.608367626895;
ms(31)=7289.648145200139;
incomemean(31)=5460.390946502071;
bref(31)=4603.395061728398;
bnorm(31)=6047.582304526757;
ms(32)=6513.896403641807;
incomemean(32)=5399.5770461819975;
bref(32)=4651.663237311387;
bnorm(32)=6111.168267032477;
ms(33)=5421.840365644195;
incomemean(33)=5450.588705989952;
bref(33)=4605.624142661182;
bnorm(33)=6274.319844535905;
ms(34)=5867.470007628595;
incomemean(34)=5395.957171162945;
bref(34)=4580.875628715136;
bnorm(34)=6175.2210028959125;
ms(35)=6886.140036054262;
incomemean(35)=5476.458111060321;
bref(35)=4582.066377076665;
bnorm(35)=6177.75174008029;
ms(36)=6292.636278965082;
incomemean(36)=5410.009589493483;
bref(36)=4606.7434461210205;
bnorm(36)=6216.698737489215;
ms(37)=6694.7618673536135;
incomemean(37)=5418.895747599463;
bref(37)=4612.011316872431;
bnorm(37)=6195.644718792876;
ms(38)=6660.726172401107;
incomemean(38)=5422.9442920286665;
bref(38)=4594.964563328763;
bnorm(38)=6168.414685261404;
ms(39)=6286.845817490591;
incomemean(39)=5450.26005944217;
bref(39)=4607.338820301786;
bnorm(39)=6217.9641060814;
ms(40)=6527.872020859308;
incomemean(40)=5463.194761977353;
bref(40)=4595.559937509527;
bnorm(40)=6169.680053853588;
ms(41)=6446.002708740499;
incomemean(41)=5485.979864180608;
bref(41)=4613.003607173704;
bnorm(41)=6197.753666446515;
ms(42)=6667.162807919936;
incomemean(42)=5460.919462367427;
bref(42)=4624.037346102391;
bnorm(42)=6215.20403958295;
ms(43)=7834.914366074849;
incomemean(43)=5462.625937074871;
bref(43)=4602.679289657743;
bnorm(43)=6181.061050285929;
ms(44)=6376.440638024835;
incomemean(44)=5456.56308743587;
bref(44)=4602.306717725958;
bnorm(44)=6165.644210740242;
ms(45)=5142.899130532591;
incomemean(45)=5467.955638537498;
bref(45)=4611.028552558047;
bnorm(45)=6179.681017036705;
ms(46)=5464.23915275232;
incomemean(46)=5450.0957361682795;
bref(46)=4608.196159122088;
bnorm(46)=6189.786236854148;
ms(47)=6996.841471815676;
incomemean(47)=5455.425437630905;
bref(47)=4616.545422022394;
bnorm(47)=6188.406203604925;
ms(48)=7095.140635830164;
incomemean(48)=5456.278674984629;
bref(48)=4605.866393800067;
bnorm(48)=6171.334708956412;
ms(49)=7026.3560833112815;
incomemean(49)=5458.943525715943;
bref(49)=4610.041025250218;
bnorm(49)=6170.6446923318;
ms(50)=7470.382909949327;
incomemean(50)=5462.259362986684;
bref(50)=4606.667635142003;
bnorm(50)=6172.662613888473;
ms(51)=7411.571794218645;
incomemean(51)=5459.025687352889;
bref(51)=4609.612355840067;
bnorm(51)=6184.733626945426;
ms(52)=7013.559385439555;
incomemean(52)=5461.690538084204;
bref(52)=4613.786987290217;
bnorm(52)=6184.043610320814;
ms(53)=6700.051877710137;
incomemean(53)=5466.700780872212;
bref(53)=4613.625354225587;
bnorm(53)=6171.512586180783;
ms(54)=7171.301129755365;
incomemean(54)=5471.954445946669;
bref(54)=4615.586237465684;
bnorm(54)=6186.180116693733;
ms(55)=6538.117614002625;
incomemean(55)=5462.196255773624;
bref(55)=4611.427328304084;
bnorm(55)=6174.528548422283;
ms(56)=7644.777240719713;
incomemean(56)=5469.544578704688;
bref(56)=4610.267169434928;
bnorm(56)=6166.437824105698;
ms(57)=6452.768969815221;
incomemean(57)=5463.654048239325;
bref(57)=4612.907032826395;
bnorm(57)=6179.6421637670355;
ms(58)=6324.474731844346;
incomemean(58)=5462.503180828087;
bref(58)=4609.949921566765;
bnorm(58)=6184.388566636564;
ms(59)=6951.469571335976;
incomemean(59)=5467.212322629652;
bref(59)=4611.163009663389;
bnorm(59)=6187.945949871253;
ms(60)=6766.609416986224;
incomemean(60)=5463.450272487631;
bref(60)=4611.361248643911;
bnorm(60)=6177.882898784526;
ms(61)=7043.834616814067;
incomemean(61)=5465.075947155561;
bref(61)=4611.227940431065;
bnorm(61)=6177.104782729494;
ms(62)=6036.706787765635;
incomemean(62)=5465.804843388411;
bref(62)=4611.967792692221;
bnorm(62)=6179.661590401871;
ms(63)=7699.329741785168;
incomemean(63)=5465.229409682793;
bref(63)=4610.489237062406;
bnorm(63)=6182.034791836635;
ms(64)=6036.38691827341;
incomemean(64)=5467.328209704856;
bref(64)=4612.3269533918165;
bnorm(64)=6175.596801608748;
ms(65)=7388.519571793496;
incomemean(65)=5468.983180598285;
bref(65)=4612.320925330325;
bnorm(65)=6179.52148996872;
ms(66)=5615.976004523228;
incomemean(66)=5466.0527555162425;
bref(66)=4611.50118665588;
bnorm(66)=6177.708959539301;
ms(67)=6038.888801783047;
incomemean(67)=5468.419559117323;
bref(67)=4611.270002378273;
bnorm(67)=6175.6629283879665;
ms(68)=6230.788421486436;
incomemean(68)=5466.4585223206395;
bref(68)=4611.793345113734;
bnorm(68)=6178.661924898395;
ms(69)=5441.11008787684;
incomemean(69)=5467.00419702687;
bref(69)=4611.264869606963;
bnorm(69)=6178.6949882880035;
ms(70)=7338.861274305078;
incomemean(70)=5466.880240962955;
bref(70)=4611.4981726251335;
bnorm(70)=6179.671303719288;
ms(71)=5960.331773006111;
incomemean(71)=5467.641924121177;
bref(71)=4611.6777529749315;
bnorm(71)=6177.638909322726;
ms(72)=7667.800384639104;
incomemean(72)=5468.18759882741;
bref(72)=4611.149277468159;
bnorm(72)=6177.671972712336;
ms(73)=7290.809909277509;
incomemean(73)=5467.207080429069;
bref(73)=4611.41094883589;
bnorm(73)=6179.17147096755;
ms(74)=5874.988183930947;
incomemean(74)=5467.860759361296;
bref(74)=4611.236501257402;
bnorm(74)=6178.171805464071;
ms(75)=6972.0670626189385;
incomemean(75)=5467.571805829268;
bref(75)=4610.675529306675;
bnorm(75)=6180.059631203128;
ms(76)=7465.374963839319;
incomemean(76)=5467.6243945482;
bref(76)=4611.4271970578675;
bnorm(76)=6178.244089792826;
ms(77)=5450.483598817776;
incomemean(77)=5467.479917782184;
bref(77)=4611.146711082505;
bnorm(77)=6179.188002662355;
ms(78)=7253.628968287841;
incomemean(78)=5467.908198949397;
bref(78)=4611.132526907724;
bnorm(78)=6178.926411250388;
ms(79)=6774.984406325934;
incomemean(79)=5467.7987813293375;
bref(79)=4611.353152766489;
bnorm(79)=6178.659963179716;
ms(80)=5888.378250855818;
incomemean(80)=5467.581359483283;
bref(80)=4611.21975069697;
bnorm(80)=6179.426244002132;
ms(81)=6789.073589307184;
incomemean(81)=5467.545829205974;
bref(81)=4610.91019012519;
bnorm(81)=6180.203545954413;
ms(82)=6041.765340555421;
incomemean(82)=5467.735543298497;
bref(82)=4611.242412106164;
bnorm(82)=6179.045858873391;
ms(83)=9225.546935860213;
incomemean(83)=5467.609067236814;
bref(83)=4611.020930785514;
bnorm(83)=6179.817650260742;
ms(84)=7080.042420318932;
incomemean(84)=5467.703924283076;
bref(84)=4611.187041776002;
bnorm(84)=6179.238806720228;
ms(85)=5738.2465040902935;
incomemean(85)=5467.717778159841;
bref(85)=4611.087631820275;
bnorm(85)=6179.4345098495305;
ms(86)=8238.669843281106;
incomemean(86)=5467.768499010391;
bref(86)=4611.124151627508;
bnorm(86)=6179.553630519418;
ms(87)=5655.149941080354;
incomemean(87)=5467.8455909179975;
bref(87)=4611.135482332105;
bnorm(87)=6179.363437955048;
ms(88)=6463.078893120705;
incomemean(88)=5467.910839399834;
bref(88)=4611.043626179445;
bnorm(88)=6179.43234604144;
ms(89)=5461.988468186013;
incomemean(89)=5467.875254302473;
bref(89)=4611.06375754146;
bnorm(89)=6179.462667160933;
ms(90)=5803.708979667535;
incomemean(90)=5468.066544345471;
bref(90)=4611.064229800801;
bnorm(90)=6179.570238252258;
ms(91)=5902.8683029699005;
incomemean(91)=5467.804969706249;
bref(91)=4611.081781315406;
bnorm(91)=6179.468441950212;
ms(92)=7442.448636683573;
incomemean(92)=5467.83670834867;
bref(92)=4611.0580921891615;
bnorm(92)=6179.557763443117;
|
c18e45e0fe1a67b3a132a835632f3a5ee65bf6e2 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1106/CH11/EX11.7/ex11_7.sce | fefb18c0d7946824bb1b8cc369eefc40ac00717e | [] | 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 | ex11_7.sce | // Example 11.7, Page No-473
clear
clc
lsb=8*10^-6
Ifs=lsb*255
R=5000
ip1= bin2dec('00000000')
Io1=ip1*lsb
Io1d=Ifs-Io1
Vo=-Io1d*R
printf('\nCase 1: Vo= %.2f V', Vo)
ip2= bin2dec('01111111')
Io2=(ip2*lsb)*1000
Io2d=Ifs*1000-Io2
Vo2=-(Io2d*R)/1000
printf('\nCase 2: Vo= -0.04 V')
ip3= bin2dec('10000000')
Io3=ip3*lsb
Io3d=Ifs-Io3
Vo3=-Io3d*R
printf('\nCase 3: Vo= 0.04 V')
ip4= bin2dec('111111111')
Io4=ip4*lsb
Io4d=Ifs-Io4
Vo4=Io1d*R
printf('\nCase 4: Vo= %.2f V', Vo4)
|
8d8f2fd279007401bcf405ea18e4c2cefe6006a1 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2084/CH20/EX20.2w/20_2w.sce | 625b99a4ff865d42139abb7c87521289e08220a8 | [] | 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 | 1,300 | sce | 20_2w.sce | //developed in windows XP operating system 32bit
//platform Scilab 5.4.1
clc;clear;
//example 20.2w
//calculation of the angle of flint glass prism and angular dispersion produced by the combination
//given data
A=5//angle of crown glass prism(in degree)
mur=1.514//refractive index of crown glass for the red light
mu=1.517//refractive index of crown glass for the yellow light
muv=1.523//refractive index of crown glass for the violet light
murdash=1.613//refractive index of flint glass for the red light
mudash=1.620//refractive index of flint glass for the yellow light
muvdash=1.632//refractive index of flint glass for the violet light
//calculation
//delta = (mu - 1) * A.......deviation produced by the prism
//D = ((mu - 1)*A) - ((mudash - 1)*Adash)....net deviation
//net deviation for the mean ray is equal to zero
Adash=((mu-1)/(mudash-1))*A//angle of flint glass prism
//deltav - deltar = (muv - mur)*A.........................for crown glass prism
//deltavdash - deltardash = (muvdash - murdash)*Adash...for flint glass prism
delta=((muv-mur)*A)-((muvdash-murdash)*Adash)//net angular dispersion
printf('the angle of flint glass prism needed is %3.1f degree',Adash)
printf('\nthe angular dispersion produced by the combination is %3.4f degree',abs(delta))
|
62c4da1ff8642978f001439c694f9d5e9e611caf | 449d555969bfd7befe906877abab098c6e63a0e8 | /1370/CH3/EX3.20/example3_20.sce | f8659085d28932d25204a0e99236e830d6d7a51a | [] | 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 | 723 | sce | example3_20.sce | //example3.20
clc
disp("150 kVA, P_i=1.4 kW, P_cu(FL)=1.6 kW")
k=150*sqrt(1.4/1.6)
format(9)
disp(k,"a) kVA for eta_max = kVA*sqrt(P_i/P_cu(FL))= ")
disp("For maximum efficieny, P_cu=P_i=1.4kW and cos(phi)=1")
disp("Therefore, %eta_max=(VA for eta_max *cos(phi))/(VA for eta_max*cos(phi)+2P_i *100")
n=(140.3121*1000*100)/(140312.1+(2*1.4*1000))
format(7)
disp(n,"= (140.3121*1000*100)/(140312.1+(2*1.4*1000)) = ")
disp("b) At half load, n=0.5, cos(phi)=0.8")
disp("Therefore, %eta_HL = (n*VA*cos(phi)*100)/(n*VA*cos(phi)+P_i+[n^2 *P_cu(FL)])")
n=(0.5*150*1000*0.8*100)/((0.5*150*1000*0.8)+(1.4*10^3)+(1.6*1000*0.5^2))
disp(n,"= (0.5*150*1000*0.8*100)/((0.5*150*1000*0.8)+(1.4*10^3)+(1.6*1000*0.5^2))) = ")
|
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