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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
860bd6ad7f4419a6d465204cf1f73fcece4788bb
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1436/CH6/EX6.8/ex6_8.sce
|
7de067914e2619cc6cf3f795195ac9692df1c3f0
|
[] |
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
| 117
|
sce
|
ex6_8.sce
|
// Example 6.8, page no-374
clear
clc
rho=1000
h=15
ex_p=1
P=(rho*h/10000)+ex_p
printf("P = %.1f kg/cm^2",P)
|
d12f3242e8f21a7f6f43dd8ef3368c7e8111c788
|
0778f91e335afef58ae45c5a33184587cee76088
|
/PontoMedio.sce
|
c5625de035ea564c95f89a052eff52d89e40a8f0
|
[] |
no_license
|
LtavaresII/CN
|
b38e6f5531a3597f8705bdf163f4cec49f49d51e
|
0dcfb182692dee3ecf71d62162f986f816b3d687
|
refs/heads/master
| 2020-03-25T23:35:53.410172
| 2018-12-05T14:17:32
| 2018-12-05T14:17:32
| 144,282,768
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 350
|
sce
|
PontoMedio.sce
|
function z = g(x,y)
z = -1.2*y+7*exp(-0.3*x);
endfunction
function [x,y] = pontoMedio(a,b,h,y0)
x = a:h:b
n = length(x);
y(1)=y0
for i = 1:n-1
k1 = g(x(i),y(i))
k2 = g(x(i)+h/2,y(i) + k1*h/2)
y(i+1) = y(i) + k2*h;
end
endfunction
[x,ypm] = pontoMedio(0,2.5,0.5,3)
plot(x',ypm,'+')
|
3be93705a7bbbb2aed10ca91c07efee81fc02336
|
207c864c3f938783d617dca78232e70445ae21e6
|
/Ch13_I.sce
|
66e3a0e78c8dcfee629dfcb8738234a1232a665f
|
[] |
no_license
|
raresica/CalculNumeric
|
a211a57fd4851e546c0b5eb866b3b228534a982c
|
5564822ff9f5dab745208898ef9162322b28bff2
|
refs/heads/master
| 2021-02-11T05:03:13.720791
| 2020-04-15T10:42:58
| 2020-04-15T10:42:58
| 244,457,154
| 1
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 83
|
sce
|
Ch13_I.sce
|
deff('y=g(x)','if x==0 then y=1; else y=x.^2*cos(x); end')
[x,err]=intg(0,%pi,g)
|
b64f1db24e0e491dbd241aad60d54fe17d901222
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/213/CH16/EX16.6/16_6.sce
|
5604daedd737b330201e46f781beeb3ba9507caf
|
[] |
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
| 1,051
|
sce
|
16_6.sce
|
//To find power and speed fluctuation
clc
//Given:
N=250 //rpm
m=500 //kg
k=600/1000 //m
//Solution:
//Refer Fig. 16.8
//Calculating the angular speed of the crank
omega=2*%pi*N/60 //rad/s
//Calculating the torque required for one complete cycle
T=(6*%pi*750)+(1/2*%pi*(3000-750))+(2*%pi*(3000-750))+(1/2*%pi*(3000-750)) //N-m
//Calculating the mean torque
Tmean=T/(6*%pi) //N-m
//Calculating the power required to drive the machine
P=Tmean*omega/1000 //kW
//Coefficient of fluctuation of speed:
//Calculating the value of LM
LM=%pi*((3000-1875)/(3000-750))
//Calculating the value of NP
NP=%pi*((3000-1875)/(3000-750))
//Calculating the value of BM
BM=3000-1875 //N-m
CN=BM
//Calculating the value of MN
MN=2*%pi
//Calculating the maximum fluctuation of energy
deltaE=(1/2*LM*BM)+(MN*BM)+(1/2*NP*CN) //N-m
//Calculating the coefficient of fluctuation of speed
CS=deltaE/(m*k^2*omega^2)
//Results:
printf("\n\n Power required to drive the machine, P = %.3f kW.\n\n",P)
printf(" Coefficient of speed, CS = %.3f.\n\n",CS)
|
985094485c2b0961e10ce7359eb759f26f6a179d
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2252/CH17/EX17.14/Ex17_14.sce
|
e93f7d9eaac3a98da1163cfd00fe40a833fd3190
|
[] |
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
| 462
|
sce
|
Ex17_14.sce
|
//when the machine is working as generator
V=240//terminal voltage across the load
P=40D+3//load on generator
Il=P/V//load current
Rsh=60//resistance of shunt field
Ish=V/Rsh
Ia=Il+Ish
Ra=.03//armature resistance
e=2*1//voltage drop at brushes
Eg=V+Ia*Ra+e
N=450//speed as a generator at this load
//let k=P*phi*Z/(60*A)
k=Eg/N
//when the machine is working as motor
Ia=Il-Ish
Eb=V-Ia*Ra-e
N=Eb/k
mprintf("Speed as a motor=%d rpm", round(N))
|
1729a9e55016465c302acfa847243155b8deeb3f
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3863/CH2/EX2.1/Ex2_1.sce
|
5042378b50ab4746deca55f9c326fd5fd604b85d
|
[] |
no_license
|
FOSSEE/Scilab-TBC-Uploads
|
948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1
|
7bc77cb1ed33745c720952c92b3b2747c5cbf2df
|
refs/heads/master
| 2020-04-09T02:43:26.499817
| 2018-02-03T05:31:52
| 2018-02-03T05:31:52
| 37,975,407
| 3
| 12
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 793
|
sce
|
Ex2_1.sce
|
clear
//
//
//Given
//Variable declaration
L=4*(10**3) //Length of the bar in mm
b=30 //Breadth of the bar in mm
t=20 //Thickness of the bar in mm
P=30*(10**3) //Axial pull in N
E=2e5 //Youngs modulus in N/sq.mm
mu=0.3 //Poisson's ratio
//Calculation
A=b*t //Area of cross-section in sq.mm
long_strain=P/(A*E) //Longitudinal strain
delL=long_strain*L //Change in length in mm
lat_strain=mu*long_strain //Lateral strain
delb=b*lat_strain //Change in breadth in mm
delt=t*lat_strain //Change in thickness in mm
//Result
printf("\n change in length = %0.3f mm",delL)
printf("\n change in breadth = %0.3f mm",delb)
printf("\n change in thickness = %0.3f mm",delt)
|
ad4a15244579d4a974b5c92061107e1abc3e7455
|
089894a36ef33cb3d0f697541716c9b6cd8dcc43
|
/NLP_Project/test/tweet/bow/bow.3_5.tst
|
489857bb31a68b8dbf129e2691b75a3627aaeb2d
|
[] |
no_license
|
mandar15/NLP_Project
|
3142cda82d49ba0ea30b580c46bdd0e0348fe3ec
|
1dcb70a199a0f7ab8c72825bfd5b8146e75b7ec2
|
refs/heads/master
| 2020-05-20T13:36:05.842840
| 2013-07-31T06:53:59
| 2013-07-31T06:53:59
| 6,534,406
| 0
| 1
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 32,315
|
tst
|
bow.3_5.tst
|
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449d555969bfd7befe906877abab098c6e63a0e8
|
/3506/CH2/EX2.1/EXP_2_1.sce
|
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[] |
no_license
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FOSSEE/Scilab-TBC-Uploads
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| 2020-04-09T02:43:26.499817
| 2018-02-03T05:31:52
| 2018-02-03T05:31:52
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Scilab
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| 1,502
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sce
|
EXP_2_1.sce
|
//Optical Fiber communication by A selvarajan
//example 2.1
//OS=Windows XP sp3
//Scilab version 5.5.1
clc;
clear all;
//case-1
ncore=1.46//refractive index of core
nclad=1//refractive index of cladding
c=3e5//velocity of light in Km/s
L=1// length of path in Km
NA=sqrt(ncore^2-nclad^2)//Numerical aperture
delt_tau_by_L=(NA^2)/(2*c*ncore) //multipath pulse broadening in s/Km
delt_tau=delt_tau_by_L*L//bandwidth distance product Hz
BL=(1/delt_tau)*L//bandwidth distance product Hz
mprintf('Numerical aperture=%f',NA);//The answers vary due to round off error
mprintf('\nMultipath pulse broadening=%fns/Km',delt_tau_by_L*1e9);//The answer provided in the textbook is wrong//multiplication by 1e9 to convert s/Km to ns/Km
mprintf('\nBandwidth distance product=%fMHz',BL*1e-6);//The answer provided in the textbook is wrong//multiplication by 1e-6 to convert Hz to MHz
//case-2
ncore=1.465//refractive index of core
nclad=1.45//refractive index of cladding
NA=sqrt(ncore^2-nclad^2)//Numerical aperture
delt_tau_by_L=(NA^2)/(2*c*ncore) //multipath pulse broadening in s/m
BL=(1/delt_tau_by_L)*L//bandwidth distance product Hz
mprintf('\n\nNumerical aperture=%f',NA);
mprintf('\nMultipath pulse broadening=%fns/Km',delt_tau_by_L*1e9);//The answer provided in the textbook is wrong//multiplication by 1e9 to convert s/Km to ns/Km
mprintf('\nBandwidth distance product=%fGHz',BL*1e-9);//The answer provided in the textbook is wrong//multiplication by 1e-6 to convert Hz to GHz
|
a60fc2a9a511c7a38215816c0c4b0f243e3290e7
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3014/CH2/EX2.20/Ex2_20.sce
|
ef85f594ba5d3b54c72fae0c90a38155f3dc6c2a
|
[] |
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
| 388
|
sce
|
Ex2_20.sce
|
clc
//given that
del_v = 5.5e-20 // Uncertainty in velocity in m/s
h = 6.63e-34 // Plank constant
m = 1 // mass of dust particle in mg
printf("Example 2.20")
h_bar = h / (2*%pi) // constant
del_x = h_bar/(2*del_v*m*1e-6) // Calculation of uncertainty in momentum
printf("\n Uncertainty in position of ball is %f angstrom.\n\n\n",del_x*1e10)
// Answer in book is 9.6 angstrom
|
4c4423756551ab04b70849d933ff2922ae1e385b
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3428/CH19/EX12.19.1/Ex12_19_1.sce
|
9cda13a824c672df5f98ef865b70b045c8a04ae2
|
[] |
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
| 407
|
sce
|
Ex12_19_1.sce
|
//Section-12,Example-1,Page no.-SS.58
//To calculate the mobility of electrons in copper.
clc;
res=1.76*10^-6 //ohm/cm
e=1.6*10^-19 //coulombs
n=(6.023*10^23)/((63.54)/(8.96)) //no. of free electrons per unit volume
u_e=(1/(res*n*e))
disp(u_e,'Mobility of electron(cm^2/volt.sec)')
//mobility of electron u_e=43.28 cm^2/(volt*sec) is wrong in the book.
|
4cdb1be78726c289461ecfa5e36e38e9344afa46
|
99b4e2e61348ee847a78faf6eee6d345fde36028
|
/Toolbox Test/risetime/risetime17.sce
|
f887549804e1b5d7ac5adb7fc0bbc02ea7290b34
|
[] |
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
| 261
|
sce
|
risetime17.sce
|
//check o/p when no i/p args are passed to the function
y=risetime();
disp(y);
//output
//!--error 4
//Undefined variable: varargin
//at line 50 of function risetime called by :
//y=risetime();
//corresponding MATLAB o/p
//Not enough input arguments.
|
0acb948facff287611b58891ab746d38fc1253a5
|
a62e0da056102916ac0fe63d8475e3c4114f86b1
|
/set14/s_Linear_Integrated_Circuits_S._Salivahanan_And_V._S._K._Bhaaskaran_1106.zip/Linear_Integrated_Circuits_S._Salivahanan_And_V._S._K._Bhaaskaran_1106/CH7/EX7.6/ex7_6.sce
|
82d8d9f2292c2f34fbf741447192afe774fef45e
|
[] |
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
| 187
|
sce
|
ex7_6.sce
|
errcatch(-1,"stop");mode(2);// Example 7.6, Page No-336
Ri=10*10^3
Vp=10
Vref=10
fo=200
C1=0.1*10^-6
Vi=2
t=Vi/Vref
f=t/(Ri*C1)
printf('Frequency f= %d Hz', f)
exit();
|
641fda2b17fa2132fe9465d93786954ca1c6e70b
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/125/CH1/EX1.13/Fig1_13.sce
|
9a17b6b67466597a8bbac59fd869bee54af605b0
|
[] |
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
| 847
|
sce
|
Fig1_13.sce
|
//Caption: False contouring Scilab code
//Fig1.13
//page 13
clc;
close;
a =ReadImage('E:\DIP_JAYARAMAN\Chapter1\tigerpub.jpg');
a = uint8(a);
figure
imshow(a)
title('Original image');
//using 128 gray levels
figure
a_128 = grayslice(a,128);
gray_128 = gray(128);
ShowImage(a_128,'Image with 128 gray levels',gray_128);
//using 64 gray levels
figure
a_64 = grayslice(a,64);
gray_64 = gray(64);
ShowImage(a_64,'Image with 64 gray levels',gray_64);
//using 32 gray levels
figure
a_32 = grayslice(a,32);
gray_32 = gray(32);
ShowImage(a_32,'Image with 32 gray levels',gray_32);
//using 16 gray levels
figure
a_16 = grayslice(a,16);
gray_16 = gray(16);
ShowImage(a_16,'Image with 16 gray levels',gray_16);
//using 8 gray levels
a_8 = grayslice(a,8);
gray_8 = gray(8);
ShowImage(a_8,'Image with 8 gray levels',gray_8);
|
ccaed6608343c7f905dbb10c8f136d3693f0435a
|
d8b00ba08203d369b2c5f550547a8bec3b784a8f
|
/opMat.sci
|
849252a8dad4b4da3f6ed7e3a2a6b06dff94af1c
|
[] |
no_license
|
braisalemaghiles/TP-Calcul-Numerique
|
8f75a0af2b82fb8e4b586d19320da406128e7611
|
260fed32749d444756d6cd32f873d5238d95851f
|
refs/heads/main
| 2023-01-31T13:19:03.073956
| 2020-12-17T13:22:58
| 2020-12-17T13:22:58
| 314,294,362
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 720
|
sci
|
opMat.sci
|
function [C] = matmat3b(A,B)
M = size(A,1)
N = size(B,2)
P = size(B,1)
C = zeros(M,N)
for i=1:M
for j=1:N
for k=1:P
C(i,j) = A(i,k) * B(k,j) + C(i,j)
end
end
end
endfunction
function [C] = matmat2b(A,B)
M = size(A,1)
N = size(B,2)
P = size(B,1)
C = zeros(M,N)
for i=1:M
for j=1:N
C(i,j) = A(i,:) * B(:,j) + C(i,j)
end
end
endfunction
function [C] = matmat1b(A,B)
M = size(A,1)
N = size(B,2)
P = size(B,1)
C = zeros(M,N)
for i=1:M
C(i,:) = A(i,:) * B + C(i,:)
end
endfunction
|
337c581e5e05c254b4f31c3bb1f1a01d25af4899
|
683d2599aa2be1a5f74b928d545b20e7ea656cd1
|
/microdaq/macros/load_last_dsp_image.sci
|
4bbedc1d0083c05c9fe9a0c7a0061388e2fd7f29
|
[
"BSD-3-Clause"
] |
permissive
|
pj1974/Scilab
|
5c7fb67d5cae5ac0cdf78e3dd66b97ba50f9fc95
|
cd54f1bd8502d6914ad6ff5271ca0e6e3d323935
|
refs/heads/master
| 2020-12-25T17:12:56.934984
| 2015-10-06T17:16:11
| 2015-10-06T17:16:11
| 41,862,822
| 0
| 0
| null | 2015-09-03T14:00:56
| 2015-09-03T14:00:56
| null |
UTF-8
|
Scilab
| false
| false
| 1,781
|
sci
|
load_last_dsp_image.sci
|
function load_last_dsp_image()
global %microdaq;
if isfile(TMPDIR + filesep() + "last_mdaq_dsp_image") == %t then
dsp_app_path = mgetl(TMPDIR + filesep() + "last_mdaq_dsp_image");
if isfile(dsp_app_path) == %t then
connection_id = mdaq_open();
if connection_id < 0 then
message('Unable to locate MicroDAQ device - check your setup!');
return;
end
disp('### Loading model to MicroDAQ...');
res = mdaq_dsp_load(connection_id, dsp_app_path, '');
if res < 0 then
// try again to load application
mdaq_close(connection_id);
connection_id = mdaq_open();
if connection_id < 0 then
message('ERROR: Unable to locate MicroDAQ device - check your setup!');
return;
end
res = mdaq_dsp_load(connection_id, dsp_app_path, '');
if res < 0 then
message('Unable to load DSP firmware!');
mdaq_close(connection_id);
%microdaq.dsp_loaded = %F
return;
end
end
disp('### Starting model on MicroDAQ...');
res = mdaq_dsp_start(connection_id);
if res < 0 then
message("Unable to start DSP application!");
mdaq_close(connection_id);
%microdaq.dsp_loaded = %F;
return;
end
%microdaq.dsp_loaded = %T;
else
message("Unable to find model, build model and try again!")
end
else
message("Unable to find model, build model and try again!")
end
endfunction
|
43432ae8f08badbcfadc6dd49ac9e96a6ca02724
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2471/CH1/EX1.3/Ex1_3.sce
|
e35a408b4ccd916d5b4f1374777704347ea4554b
|
[] |
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
| 636
|
sce
|
Ex1_3.sce
|
clear ;
clc;
// Example 1.3
printf('Example 1.3\n\n');
printf('Page No. 10\n\n');
// Solution
// Given
Et = 100*10^3;// total energy production in tonnes per annum
Eo= 0.520*10^9;// oil consumption in Wh
Eg= 0.146*10^9;// gas consumption in Wh
Ee= 0.995*10^9;// electricity consumption in Wh
Io= Eo/Et;
Ig= Eg/Et;
Ie= Ee/Et;
Et1= Eo + Eg + Ee;// total energy consumption
It= Et1/Et;
printf('oil energy index is %3.0f Wh per tonne \n',Io)
printf('gas energy index is %3.0f Wh per tonne \n',Ig)
printf('electricity energy index is %3.0f Wh per tonne \n',Ie)
printf('total energy index is %3.0f Wh per tonne ',It)
|
3f47c28b68846dbe4b36324621170a06d5731410
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/48/CH3/EX3.9/eg_3_9.sce
|
dff2dbf3717bdda9534a15c9518aa7b6416f8464
|
[] |
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
| 223
|
sce
|
eg_3_9.sce
|
clear;
clc;
disp("T(x,y,z)=x^y^z^+x^y^z+x^yz+xyz+xy^z+xy^z^");
disp("the complement T^ consists of those minterms which are not contained in the expression for T");
disp("T=[x^yz^+xyz^]^");
disp("(x+y^+z)(x^+y^+z)");
|
234c6c7fe41d63585553cf65540d4e3f4a165a67
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3411/CH5/EX5.8/Ex5_8.sce
|
c6c61b8dad228dcd3689f1684fc1075b81c6b417
|
[] |
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
| 418
|
sce
|
Ex5_8.sce
|
//Example 5_8
clc();
clear;
//To calculate the Bragg angle and the wavelength of X-rays
//Given plane indices are (1,1,1)
theta=87 //units in degrees
theta=theta/2 //units in degrees
a=0.2 //units in nm
h=1
k=1
l=1
d=a/sqrt(h^2+k^2+l^2) //units in nm
lamda=2*d*sin(theta*(%pi/180)) //units in nm
printf("Bragg angle theta=%.1fdegrees \n wavelength lamda=%.3fnm",theta,lamda)
|
17548c7e170cd3301c6677910891534664a3e8d5
|
561dbfa312194f0357fcdcb19114a39bf208631d
|
/10/CH1/EX2/cha1_2.sce
|
0f4f6440ae8c57c3cc25bb539aceaf9209b250cd
|
[] |
no_license
|
vinayakvivek/GithubAPI-test
|
4ecc8fa82ea630b7b89778f0b1d05b9bc6705cf5
|
b4efff33db5e58e41907063a82d24e356ebf24e9
|
refs/heads/master
| 2021-01-19T07:46:35.824186
| 2017-04-08T06:38:37
| 2017-04-08T06:38:37
| 87,571,042
| 0
| 1
| null | 2017-04-08T06:38:38
| 2017-04-07T17:34:37
|
Scilab
|
UTF-8
|
Scilab
| false
| false
| 102
|
sce
|
cha1_2.sce
|
A=4*%pi*10^-7;lc=360;
N=500;i=4;lg=2*10^-3;
m=-A*(lc/lg)
c=(N*i*A)/(lg)
Hc=(N*i)/(lc)
// test2
|
23142de4e5d5f4080dadd4c3cb6f3bc360a89295
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1319/CH8/EX8.6/8_6.sce
|
971a094433d46ebd386e5e46cd259fc2b32ead01
|
[] |
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
| 537
|
sce
|
8_6.sce
|
//To find the total mechannical power and rotor copper loss
clc;
clear;
P=60*(10^3); // Power input
Pstat=1*(10^3);// Stator Losses
Pirot=P-Pstat;// Rotor Input
s=3/100;// Running slip
Prc=poly([0 1],'Prc','c'); // Variable for rotor copper loss
// Prc = I2^2 * R2
rloss=(Pirot*s)-(3*Prc);
Prc=roots(rloss); // Numerical Value of rotor loss per phase;
Pm=Pirot-(3*Prc); // Mechanical power developed
printf('The rotor loss per phase = %g W \n',Prc)
printf('The Mechanical Power developed = %g kW \n',Pm/1000)
|
e0086570207328443f48c33a728a7171272ce55b
|
7ad0d60cf81a6a597c854f34eb8e4d0f0238449f
|
/Controle/T1/Código/V3/Alocação de polos - obs e contr.sce
|
43169a3bbad6221f03dbc4f5ce9a26f52f6bed55
|
[] |
no_license
|
Lucas-Okamura/Poli-USP
|
83c5bf59a8d1f04215db1caeb3898a2394c0797c
|
2875cd8e0f3a2549f0461d0256cf5e8cc24d204c
|
refs/heads/master
| 2023-06-07T21:29:13.123960
| 2021-06-23T21:59:01
| 2021-06-23T21:59:01
| 304,692,746
| 1
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 391
|
sce
|
Alocação de polos - obs e contr.sce
|
// Código para alocação de polos do controlador e do observador
s = poly(0,'s')
matr = s*eye(4,4)-A
pc = [-0.8,-0.35+0.35707*%i,-0.35-0.35707*%i,-0.0346] // Polos desejados para o controlador
Kcal = ppol(A,B,pc) // Definição da matriz K do controlador
po = 2*pc // Polos desejados para o observador
Koal = (ppol(A',C',po))' // Definição da matriz K do observador
disp(spec(A-B*Kcal))
|
a6e4a8987117e1c1d4e68797bb936a65c892b764
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1752/CH8/EX8.16/exa_8_16.sce
|
1efe6bd680f773c94e201f57a6cafd123a206df7
|
[] |
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
| 595
|
sce
|
exa_8_16.sce
|
//Exa 8.16
clc;
clear;
close;
//given data
Mh=10000/3600;// in kg/sec
Mc=8000/3600;// in kg/sec
Cph=2095;// in J/kg K
Cpc=4180;// in J/kg K
t_hi=80;// in degree C
t_ci=25;// in degree C
t_ho=50;// in degree C
U=300;// in W/m^2 K
// Energy balance Mh*Cph*(t_hi-t_ho) = Mc*Cpc*(t_co-t_ci)
t_co= Mh*Cph*(t_hi-t_ho)/(Mc*Cpc)+t_ci;// in degree C
del_t1=t_hi-t_co;//in degree C
del_t2=t_ho-t_ci;//in degree C
del_tm= (del_t1-del_t2)/log(del_t1/del_t2);
q=Mh*Cph*(t_hi-t_ho);
//Formula q=U*A*del_tm
A=q/(U*del_tm);// in m^2
disp(A,"Surface area of heat exchange in square meter")
|
7b17657e36ee196e3ada4cce885cc931cfe9a7c7
|
13c3ed7bef4d80dabd836219bbf4396f07cb934a
|
/bitor_demo.sci
|
c94d0506417527a0b00d7c77681b90f40584cec7
|
[] |
no_license
|
Mushirahmed/scilab_workspace
|
99f489a110a5e295ce9fca9991122d14840018d3
|
f58b91b87bb0357fff82dcb97b05541e7e976eca
|
refs/heads/master
| 2021-01-10T15:48:40.576771
| 2016-02-10T10:32:46
| 2016-02-10T10:32:46
| 43,348,489
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 415
|
sci
|
bitor_demo.sci
|
function bitor_demo()
a = uint8(12);
b = uint8(39);
c = bitor(a,b);
disp(c);
d = uint8([11 10 9;8 7 16;7 5 6]);
e = uint8([13 9 10;7 5 3;10 8 3]);
f = bitor(d,e);
disp(f);
aa = uint16(8);
bb = uint16(4);
cc = bitor(aa,bb);
disp(cc);
dd = uint16([1 4 6;2 10 8;2 12 16]);
ee = uint16([1 2 3;5 1 4;10 11 5]);
ff = bitor(dd,ee);
disp(ff)
endfunction
|
0257e7a51b5a86704c96967d7968911c3a261fbd
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1994/CH3/EX3.3/Example3_3.sce
|
375517276b1a53083c081b09eab67c27cb3ecadf
|
[] |
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
| 181
|
sce
|
Example3_3.sce
|
//Chapter-3,Example3_3,pg 3_10
V1=100*10^-3
Vr=100*10^-3
t1=83.33
t2=(V1/Vr)*t1
printf("t2=%.5f ms\n",t2)
Vi=200*10^-3//input voltage
t2=(Vi/Vr)*t1
printf("t2=%.5f ms",t2)
|
b476c2ff674dd217a310d001b44a639e545148ae
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3754/CH31/EX31.4/31_4.sce
|
8a428c9062347fccbea92700a64d8c15f9a8592f
|
[] |
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
| 543
|
sce
|
31_4.sce
|
clear//
//Variables
L1 = 1000.0 * 10**-6 //Inductance1 (in Henry)
L2 = 100.0 * 10**-6 //Inductance2 (in Henry)
M = 20.0 * 10**-6 //Mutual Inductance (in Henry)
C = 20.0 * 10**-12 //Capacitance (in Farad)
//Calculation
L = L1 + L2 + 2 * M //Net inductance (in Henry)
fo = 1/(2*%pi*(L * C)**0.5) //Frequency of oscillations (in Hertz)
//Result
printf("\n Frequency of oscillations is %0.3f ",fo*10**-6)
|
235de3167c17be48c0d854223f981b46baa214b0
|
178822612bcd418dc12ba7a649304a24ab618d60
|
/Numerical Analysis/El Hadji NGOM projet Scilab(Amélioré)/Projet 2 Systhèmes non linéaires/Dicchomie.sci
|
50c713cdc28bfeb09c76449e8a4052b9648aa4ad
|
[] |
no_license
|
engom/Math_Problem_Solving
|
b56c6cbfbff6c416c519795b9ab8f0c0bbba5ea3
|
6538c476681ae4ee803ea9b3a8944c5f370e1961
|
refs/heads/master
| 2022-05-25T01:13:16.123161
| 2016-02-13T11:32:28
| 2016-02-13T11:32:28
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 479
|
sci
|
Dicchomie.sci
|
// fonction test du code (exepmle d'évaluation) et paramétres
function y=f(x)
y=x^2 - 2;
endfunction
eps=10^-8
a=0
b=3
// Methode de Dichotomie
function [x,n]=dicho(f,a,b,eps)
if (f(a)*f(b)>0) then
disp("Il ne semble pas y avoir de zero dans l''intervalle.");
return;
end
n=0
while ((abs(b-a))>eps)
if (f(a)*f((a+b)/2)>0) then
a = (a+b)/2;
else
b = (a+b)/2;
end
n=n+1
end
x = (a+b)/2;
endfunction
|
f78e39c4093915fcbefed4323dcf10db21dfc3a4
|
7cbeef90493f736d2d6033fc4f8eb0c204fbe8ea
|
/grad.sce
|
771b567b3690fdd7d4a63e31609518d7e80b94db
|
[] |
no_license
|
lucasfariaslf/emap_optim
|
62f7b9e11764302e392a5c86a4fdede41f11dac3
|
0c93b7654c3101b9275602ff2e6acb49af5133c6
|
refs/heads/master
| 2021-09-14T03:53:50.017323
| 2018-05-08T00:19:16
| 2018-05-08T00:19:16
| 103,544,555
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 541
|
sce
|
grad.sce
|
// implementstion of the gradient descent method
//
//clear all; clc;
eps=10^(-3);
N=10000;
nit=1;
d=10;
function grad(x, Sim, ln)
while d>eps & nit<N
[f,g]=Sim(x);
if type(ln)==13 then
t=ln(x,-g, Sim);
elseif type(ln)==1 then
t=ln
end
x=x-t*g;
d=norm(g);
nit=nit+1;
mprintf('Iteration: %i, Value of f: %f, Gradient norm: %f \n',nit,f,d)
end
endfunction
|
1123921f8f80accfbac969e709cd8a91db1be325
|
08bfc8a1f8e44adc624d1f1c6250a3d9635f99de
|
/SDKs/swig/Examples/test-suite/scilab/default_args_runme.sci
|
b557df044d2e1da8d70332e527b00a332182d95e
|
[] |
no_license
|
Personwithhat/CE_SDKs
|
cd998a2181fcbc9e3de8c58c7cc7b2156ca21d02
|
7afbd2f7767c9c5e95912a1af42b37c24d57f0d4
|
refs/heads/master
| 2020-04-09T22:14:56.917176
| 2019-07-04T00:19:11
| 2019-07-04T00:19:11
| 160,623,495
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 129
|
sci
|
default_args_runme.sci
|
version https://git-lfs.github.com/spec/v1
oid sha256:938c623a35224ef71fc1c879edf9189de266c77dbb2cc50237b8380d78ca4802
size 2371
|
f3e79d6088995465f3b18887cc96cdc2fb80359d
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3446/CH21/EX21.5/Ex21_5.sce
|
40b69ccae59d7a0ea4a47123255dd82211de0537
|
[] |
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
| 870
|
sce
|
Ex21_5.sce
|
// Exa 21.5
// To determine the coded symbol transmission rate per subcarrier and bit transmission rate per subcarrier for each of the two modes.
clc;
clear all;
R=3/4;//code rate of convolution encoder
M1=9; //payload transmission rate in Mbps for mode 1
M2=36; //payload transmission rate in Mbps for mode 2
//solution
D1=M1*10^6/48;//user data rate in kbps for mode 1
D2=M2*10^6/48;//user data rate in kbps for mode 2
//Refering to Table 21.11
printf('Data transmission rate per carrier with 3/4 convolution encoder are %.1f Kbps and %d Kbps \n',D1/10^3,D2/10^3);
C1=D1/R;
C2=D2/R;
printf(' Carrier transmission rate with R=3/4 convolutional encoder are %d Kbps and %d Kbps\n',C1/10^3,C2/10^3);
printf(' Carrier symbol rate with R=3/4 convolutional encoder are %d ksps and %d Ksps \n',C1/10^3,C2/4/10^3); //Mode1 as BPSK and MOde2 as 16-QAM
|
39b2a139ca57b20d615cff27f4378354b37ec5d8
|
1bb72df9a084fe4f8c0ec39f778282eb52750801
|
/test/L37.prev.tst
|
6168b317831a3bea44bcbe2b2501765cf03c7654
|
[
"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
| 28
|
tst
|
L37.prev.tst
|
Vector [-3,4,5].lcm() = 60
|
2aa28021e7ebfac0f6507179ce1e488ad8a658e2
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1847/CH3/EX3.40/Ch03Ex40.sce
|
6016c149099f633f83ec87699d03ba499c220ffc
|
[] |
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
| 559
|
sce
|
Ch03Ex40.sce
|
// Scilab Code EX3.40:: Page-3.56 (2009)
clc;clear;
lambda = 5500e-008; // Wavelength of most sensitive color to an eye, cm
a = 400; // Aperture of the telescope, cm
D = 3.8e+010; // Distance of the moon from the earth, cm
d_theta = 1.22*lambda/a; // Limit of resolution of telescope, radians
// As d_theta = x/D, solving for x
x = d_theta*D; // Linear separation of two points on the moon, cm
printf("\nThe linear separation of two points on the moon = %5.2f m", x/1e+002);
// Result
// The linear separation of two points on the moon = 63.74 m
|
db69aafe1532a4eb766ac6278fa17690bd957248
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3755/CH2/EX2.10/Ex2_10.sce
|
f544aff7d944967c5d49a841d1113af01688d4b6
|
[] |
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
| 832
|
sce
|
Ex2_10.sce
|
clear
//
//
//
//Variable declaration
h1=0; //intercept on X axis
k1=1; //intercept on Y axis
l1=1; //intercept on Z-axis
h2=1; //intercept on X axis
k2=0; //intercept on Y axis
l2=1; //intercept on Z-axis
h3=1; //intercept on X axis
k3=1; //intercept on Y axis
l3=2; //intercept on Z-axis
//Calculations
d1=h1^2+k1^2+l1^2; //interplanar spacing in 1st plane(angstrom)
d2=h2^2+k2^2+l2^2; //interplanar spacing in 2nd plane(angstrom)
d3=h3^2+k3^2+l3^2; //interplanar spacing in 3rd plane(angstrom)
//Result
printf("\n interplanar spacing in 1st plane is a/sqrt( %0.3f ) angstrom",d1)
printf("\n interplanar spacing in 2nd plane is a/sqrt( %0.3f ) angstrom",d2)
printf("\n interplanar spacing in 3rd plane is a/sqrt( %0.3f ) angstrom",d3)
|
5d910589842faf1b456a8892b6a98a54e00470a8
|
39e25a71492778228cb19f75653df5cb39b717c8
|
/RoboMower/assets/images/tileset.tst
|
2410e854412df4ca86e22795a993dd98951cd599
|
[
"Zlib"
] |
permissive
|
fallahn/RoboMower
|
83fe44c7f603469078aedd297b5c0de60f0e7b1e
|
a032d618b2338c70e4eb02d3ee286f4000a5c9ae
|
refs/heads/master
| 2021-01-19T03:37:53.865034
| 2019-04-16T10:15:43
| 2019-04-16T10:15:43
| 65,198,371
| 2
| 1
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 800
|
tst
|
tileset.tst
|
{
"short1" : [0, 0],
"short2" : [16,0],
"fence_tl" : [32,0],
"fence_top" : [40,0],
"fence_tr" : [48, 0],
"long" : [0, 16],
"dirt" : [16,16],
"fence_bl" : [32,16],
"fence_bottom" : [40,16],
"fence_br" : [48,16],
"fence_left" : [32,8],
"fence_right" : [48,8],
"edge_n" : [0,32],
"edge_e" : [16,32],
"edge_s" : [32,32],
"edge_w" : [48,32],
"edge_ne" : [0,48],
"edge_se" : [16,48],
"edge_sw" : [32,48],
"edge_nw" : [48,48],
"handle_h" : [0,64],
"player1_h" : [16,64],
"player2_h" : [32,64],
"handle_d" : [0,80],
"player1_d" : [16,80],
"player2_d" : [32,80],
"handle_u" : [48,80],
"player1_u" : [64,80],
"player2_u" : [80,80],
"flower1" : [64, 0],
"flower2" : [64,16],
"flower3" : [64,32],
"flower4" : [64,48],
"rock1" : [48,64],
"rock2" : [64,64],
"rock3" : [80,64]
}
|
9bb9b36bb361ef651f3fc2a285cc70019362dc31
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2660/CH14/EX14.5/Ex14_5.sce
|
a2121237326feb88491a0b0a486e6b3ca226e85a
|
[] |
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
| 715
|
sce
|
Ex14_5.sce
|
clc
t = 0.25 // uncut chip thickness in mm
b = 2.5 // width of cut in mm
v = 2.5 // cutting speed in m/s
alpha = 10 // rake angle in degrees
fc = 1130 // cutting force in N
ft = 295 // thrust force in N
tc = 0.45 // chip thickness in mm
r = t/tc // chip thickness ratio
alpha = alpha*%pi/180 // rake angle in radians
phi = atan((r*cos(alpha))/(1-r*sin(alpha))) // shear angle
phi2 = phi*180/%pi // shear angle
fs = fc*cos(phi) - ft*sin(phi) //shear force in N
printf("\n Force of shear at shear plane = %0.2f N" , fs)
mu = atan((fc*sin(alpha)+ft*cos(alpha))/(fc*cos(alpha)-ft*sin(alpha))) //friction anglele
printf("\n Friction angle = %0.3f degree", mu )
// 'Answers vary due to round off error'
|
1f798e5e233e1af8a2a377023b050e1d848af204
|
676ffceabdfe022b6381807def2ea401302430ac
|
/solvers/CompressibleFlowSolver/Tests/PipeFlow_NSAxisym.tst
|
1c3f187eb73f42841ce8c258ff79271dd303ac69
|
[
"MIT"
] |
permissive
|
mathLab/ITHACA-SEM
|
3adf7a49567040398d758f4ee258276fee80065e
|
065a269e3f18f2fc9d9f4abd9d47abba14d0933b
|
refs/heads/master
| 2022-07-06T23:42:51.869689
| 2022-06-21T13:27:18
| 2022-06-21T13:27:18
| 136,485,665
| 10
| 5
|
MIT
| 2019-05-15T08:31:40
| 2018-06-07T14:01:54
|
Makefile
|
UTF-8
|
Scilab
| false
| false
| 1,021
|
tst
|
PipeFlow_NSAxisym.tst
|
<?xml version="1.0" encoding="utf-8"?>
<test>
<description>NS, axisymmetric pipe flow with low Mach number</description>
<executable>CompressibleFlowSolver</executable>
<parameters>PipeFlow_NSAxisym.xml</parameters>
<files>
<file description="Session File"> PipeFlow_NSAxisym.xml</file>
</files>
<metrics>
<metric type="L2" id="1">
<value variable="rho" tolerance="1e-9">1.71551e-05</value>
<value variable="rhou" tolerance="1e-8">0.00300236</value>
<value variable="rhov" tolerance="1e-8">0.00267845</value>
<value variable="E" tolerance="1e-4">4.6884</value>
</metric>
<metric type="Linf" id="2">
<value variable="rho" tolerance="1e-9">2.08147e-05</value>
<value variable="rhou" tolerance="1e-8">0.002665</value>
<value variable="rhov" tolerance="1e-8">0.00312463</value>
<value variable="E" tolerance="1e-5">5.62463</value>
</metric>
</metrics>
</test>
|
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|
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|
/source/1.1/macros/metanet/mintree.sci
|
16b49a8b0a27d05fb9fddbedce9f19f73933e137
|
[
"LicenseRef-scancode-public-domain",
"LicenseRef-scancode-warranty-disclaimer",
"LicenseRef-scancode-unknown-license-reference"
] |
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
| 400
|
sci
|
mintree.sci
|
function t=mintree(i,g)
[lhs,rhs]=argn(0),
if rhs==0 then i=1, g=the_g
elseif rhs==1 then
if type(i)==15 then g=i, i=1
else g=the_g, end
end
if (i<0 | i>g_nodnum(g)) then
error('bad internal node number')
end
if g_direct(g)==1 then
alf=dmtree(i,g), t=prevn2st(alf,g)
else if g_edgnum(g)<0.5*g_nodnum(g)*g_nodnum(g) then alf=umtree1(g)
else alf=umtree(g),end
t=edge2st(alf,g)
end
|
4ed5bf13b48c709a465194b2e489142d99b12c0b
|
089894a36ef33cb3d0f697541716c9b6cd8dcc43
|
/NLP_Project/test/tweet/bow/bow.2_17.tst
|
f5c222bb598ce282ad6d7272b9b5b6b6f9e859e7
|
[] |
no_license
|
mandar15/NLP_Project
|
3142cda82d49ba0ea30b580c46bdd0e0348fe3ec
|
1dcb70a199a0f7ab8c72825bfd5b8146e75b7ec2
|
refs/heads/master
| 2020-05-20T13:36:05.842840
| 2013-07-31T06:53:59
| 2013-07-31T06:53:59
| 6,534,406
| 0
| 1
| null | null | null | null |
UTF-8
|
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| false
| false
| 35,299
|
tst
|
bow.2_17.tst
|
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2 19:1.0 30:0.05555555555555555 33:1.0 43:0.25 46:0.8 64:0.25 68:0.1111111111111111 79:0.5 82:0.09090909090909091 139:0.5 156:0.5 170:0.1 263:0.25 355:1.0 416:0.5 432:1.0 435:1.0 453:0.5 457:1.0 476:1.0 584:1.0 666:0.2 857:1.0 952:0.5 1076:1.0 1172:1.0 1412:1.0 2526:1.0 3369:1.0 3927:1.0 4059:1.0 4473:1.0 4492:1.0 4527:1.0
2 7:0.5 10:0.75 11:0.15384615384615385 14:0.3333333333333333 28:0.14285714285714285 30:0.1111111111111111 56:0.08333333333333333 59:1.0 68:0.1111111111111111 83:0.125 119:0.3333333333333333 138:0.5 140:1.0 156:0.5 161:1.0 170:0.1 304:0.5 424:0.5 517:0.3333333333333333 539:0.3333333333333333 757:1.0 958:1.0 1036:1.0 1495:1.0 2123:1.0 2202:1.0 3678:1.0 6338:1.0 7567:1.0 8938:1.0
2 10:0.5 15:1.0 24:1.0 28:0.07142857142857142 30:0.2222222222222222 39:1.5 43:0.25 45:1.0 46:0.4 63:0.25 113:1.0 140:1.0 156:0.5 189:0.3333333333333333 212:1.0 230:1.0 250:0.1111111111111111 265:0.05 297:0.5 344:1.0 370:1.0 419:0.5 431:1.0 510:1.0 584:1.0 1565:1.0 1734:1.0 1857:1.0 2165:2.0 2291:1.0 2304:1.0 2305:1.0 2481:1.0 2519:1.0
2 10:0.25 11:0.15384615384615385 28:0.14285714285714285 29:1.0 30:0.1111111111111111 37:2.0 39:2.5 43:0.25 46:0.4 59:0.5 64:0.25 79:0.5 100:0.2 109:0.3333333333333333 127:1.0 156:0.5 161:1.0 170:0.2 259:1.0 377:0.3333333333333333 399:1.0 416:0.5 449:0.5 479:0.5 587:1.0 801:0.5 824:1.0 876:0.5 958:1.0 1739:1.0 2029:1.0 2165:1.0 2321:2.0 2352:1.0 3140:1.0 3167:1.0 3875:1.0 3900:1.0 4153:1.0 4363:1.0 4746:1.0
2 11:0.07692307692307693 14:1.0 28:0.14285714285714285 30:0.1111111111111111 39:1.5 43:0.5 46:0.4 48:0.5 68:0.1111111111111111 83:0.125 90:0.06896551724137931 100:0.2 126:0.25 173:1.0 206:0.3333333333333333 212:2.0 247:1.0 263:0.25 264:1.0 281:0.5 369:0.25 545:0.5 571:1.0 616:1.0 636:0.5 674:1.0 772:0.5 815:1.0 946:0.5 1000:1.0 1232:1.0 1280:1.0 1308:1.0 3025:1.0 3248:1.0 3657:1.0 4202:1.0
2 10:0.25 14:0.3333333333333333 19:2.0 30:0.05555555555555555 39:0.5 46:1.0 53:0.5 59:1.0 68:0.1111111111111111 100:0.2 118:1.0 189:0.3333333333333333 203:1.0 204:0.3333333333333333 250:0.1111111111111111 279:1.0 288:1.0 545:0.5 650:1.0 673:1.0 703:1.0 1333:2.0 1741:1.0 1924:1.0 2367:1.0 3081:1.0 3158:1.0 3325:0.16666666666666666 3793:1.0 4563:1.0 4746:1.0 9130:1.0
2 4:1.0 10:0.25 11:0.15384615384615385 18:0.5 19:1.0 30:0.16666666666666666 39:0.5 43:0.25 46:0.6 48:0.5 82:0.09090909090909091 100:0.4 135:0.5 170:0.1 359:0.2 402:1.0 505:0.5 646:0.2 650:1.0 703:1.0 728:1.0 756:0.5 815:1.0 1199:1.0 1238:1.0 1283:1.0 1557:1.0 1606:1.0 2443:1.0 3026:1.0 4113:1.0 4746:1.0 6777:1.0
2 11:0.07692307692307693 14:0.6666666666666666 19:1.0 28:0.07142857142857142 30:0.05555555555555555 43:0.25 46:0.6 63:0.5 68:0.1111111111111111 111:1.0 156:0.5 212:1.0 237:1.0 246:0.6666666666666666 250:0.1111111111111111 286:0.1 416:0.5 420:1.0 535:1.0 545:0.5 607:1.0 708:1.0 778:1.0 1022:1.0 1056:1.0 1071:1.0 1076:1.0 1306:0.25 1315:0.5 1545:1.0 1557:1.0 1621:1.0 1634:1.0 1714:1.0 2033:1.0 2727:1.0 3081:1.0 3529:1.0 4580:1.0
2 11:0.07692307692307693 17:0.5 30:0.3333333333333333 39:0.5 41:1.0 64:0.25 90:0.06896551724137931 119:0.3333333333333333 134:1.0 170:0.1 212:2.0 236:1.0 263:0.25 297:0.5 329:0.5 369:0.25 399:1.0 411:1.0 649:1.0 666:0.2 691:1.0 720:1.0 753:1.0 875:2.0 888:0.3333333333333333 896:0.6666666666666666 993:1.0 1121:1.0 1125:0.16666666666666666 1197:1.0 1215:1.0 1630:1.0 2481:1.0 2752:1.0 3182:1.0 3352:1.0 4106:1.0 4610:1.0
2 11:0.07692307692307693 15:1.0 29:1.0 30:0.2222222222222222 37:1.0 39:0.5 68:0.3333333333333333 82:0.18181818181818182 126:0.25 135:0.25 156:0.5 263:0.25 286:0.1 327:1.0 419:0.5 438:0.5 473:1.0 479:0.5 517:0.3333333333333333 524:1.0 670:0.3333333333333333 753:1.0 875:1.0 888:0.3333333333333333 958:1.0 1083:1.0 1197:2.0 1216:1.0 1244:1.0 1248:1.0 1352:1.0 1423:1.0 1542:1.0 1569:0.5 1654:1.0 2441:1.0 2598:1.0 3270:1.0 4226:1.0
2 9:1.0 19:1.0 30:0.16666666666666666 36:0.3333333333333333 39:0.5 43:0.5 46:0.4 59:1.0 68:0.1111111111111111 69:1.0 82:0.09090909090909091 90:0.034482758620689655 96:1.0 100:0.2 170:0.3 189:0.3333333333333333 211:1.0 329:0.5 359:0.2 394:1.0 419:0.5 443:1.0 511:1.0 609:1.0 673:1.0 756:0.25 787:0.5 829:1.0 973:1.0 1083:1.0 1408:1.0 1423:1.0 1557:1.0 1731:1.0 2372:1.0 2832:1.0 3256:1.0
2 10:0.5 11:0.07692307692307693 28:0.07142857142857142 41:2.0 46:0.4 59:0.5 189:0.3333333333333333 212:2.0 263:0.25 332:0.16666666666666666 402:1.0 480:1.0 609:1.0 630:1.0 703:1.0 742:1.0 801:0.5 1064:1.0 1238:1.0 1557:1.0 1569:0.5 2540:1.0 3253:1.0 4313:1.0 4394:1.0
2 10:0.25 11:0.07692307692307693 28:0.07142857142857142 30:0.1111111111111111 39:0.5 41:2.0 46:0.2 100:0.4 118:1.0 156:0.5 189:0.3333333333333333 190:1.0 234:0.06666666666666667 286:0.1 297:0.5 332:0.16666666666666666 358:1.0 375:1.0 583:1.0 649:1.0 694:1.0 716:1.0 784:1.0 875:1.0 1033:1.0 1125:0.16666666666666666 1676:1.0 1955:1.0 1974:1.0 2286:1.0 2348:1.0 3272:1.0
2 10:0.25 11:0.07692307692307693 18:0.5 19:1.0 24:1.0 28:0.07142857142857142 39:0.5 41:1.0 63:0.5 83:0.25 168:0.3333333333333333 204:0.3333333333333333 329:0.5 459:1.0 545:0.5 649:1.0 794:1.0 1306:0.25 2502:1.0 2517:1.0 2648:0.5 6801:1.0
2 10:0.25 11:0.15384615384615385 39:0.5 43:0.25 89:0.2 100:0.4 108:1.0 111:1.0 138:0.5 161:1.0 189:0.3333333333333333 212:1.0 352:0.0625 361:0.5 419:0.5 534:1.0 590:1.0 650:1.0 803:2.0 973:1.0 1634:1.0 2384:1.0 2959:0.5 4489:1.0 7661:1.0
2 6:1.0 11:0.07692307692307693 17:0.5 28:0.14285714285714285 30:0.1111111111111111 33:1.0 34:1.0 35:0.25 39:1.5 43:0.25 46:0.2 59:0.5 168:0.3333333333333333 170:0.2 222:1.0 388:1.0 742:1.0 1043:1.0 1125:0.16666666666666666 1353:1.0 1516:1.0 1727:1.0 3192:1.0 4599:1.0 5625:1.0 6778:1.0 6795:1.0
2 9:1.0 11:0.07692307692307693 14:0.3333333333333333 28:0.21428571428571427 43:0.25 46:0.4 59:0.5 63:0.25 64:0.25 68:0.2222222222222222 69:1.0 82:0.09090909090909091 87:1.0 115:1.0 170:0.1 173:1.0 236:1.0 263:0.25 388:1.0 402:3.0 419:0.5 473:1.0 505:0.5 541:1.0 560:1.0 616:1.0 646:0.2 756:0.5 757:1.0 1046:1.0 1437:0.5 2443:1.0 2553:1.0 2768:0.5 2911:1.0 4523:1.0 4903:1.0 6326:1.0
2 6:1.0 11:0.07692307692307693 14:0.3333333333333333 15:1.0 17:0.5 20:0.5 24:1.0 28:0.07142857142857142 30:0.05555555555555555 43:0.25 46:0.2 53:0.5 59:0.5 63:0.25 68:0.1111111111111111 82:0.09090909090909091 89:0.2 142:0.5 153:1.0 156:0.5 168:0.3333333333333333 170:0.1 210:0.2 292:1.0 359:0.2 394:1.0 416:0.5 419:1.0 444:1.0 505:0.5 531:1.0 804:1.0 1033:1.0 1358:1.0 1733:1.0 2372:1.0
2 11:0.15384615384615385 14:0.3333333333333333 28:0.14285714285714285 30:0.2222222222222222 35:0.25 36:0.3333333333333333 37:1.0 39:0.5 43:0.25 46:0.2 63:0.25 112:1.0 121:1.0 148:1.0 170:0.1 187:1.0 210:0.2 212:1.0 219:1.0 221:1.0 478:1.0 545:0.5 611:1.0 705:1.0 720:1.0 1630:1.0 1905:1.0 1984:1.0 2328:1.0 2372:1.0 2467:1.0 2492:1.0 2695:1.0 3421:1.0
2 6:1.0 11:0.07692307692307693 17:0.5 19:1.0 28:0.07142857142857142 30:0.2222222222222222 39:0.5 43:0.25 46:0.6 64:0.25 100:0.2 218:1.0 250:0.1111111111111111 337:1.0 428:1.0 459:1.0 535:1.0 587:1.0 596:0.3333333333333333 650:1.0 728:2.0 804:2.0 1353:1.0 1467:1.0 1633:1.0 1919:1.0 2203:1.0 2328:1.0 2705:1.0 2794:1.0 2947:1.0 4096:1.0
2 11:0.15384615384615385 15:1.0 17:0.5 28:0.21428571428571427 30:0.05555555555555555 37:2.0 39:0.5 43:0.5 46:0.2 63:0.25 68:0.1111111111111111 83:0.125 90:0.034482758620689655 91:0.5 118:1.0 146:1.0 147:1.0 156:0.5 161:1.0 170:0.1 189:0.3333333333333333 263:0.25 264:1.0 326:0.1111111111111111 327:1.0 416:0.5 428:1.0 469:1.0 478:1.0 491:1.0 551:1.0 556:1.0 584:1.0 586:0.16666666666666666 650:1.0 666:0.2 876:0.5 1196:1.0 1337:1.0 1353:1.0 1358:1.0 1621:1.0 1654:1.0 2514:1.0 3125:1.0 3139:1.0 3407:1.0 4321:1.0 8414:1.0
|
bd754acc7c3afaf9698b089dc6678b28f8e85df2
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3532/CH5/EX5.8/Ex5_8.sce
|
cee0aee50501325f0e5a2f0f9db9e40da50b0bca
|
[] |
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
|
Ex5_8.sce
|
clc
clear
mprintf('Mechanical vibrations by G.K.Grover\n Example 5.7.1\n')
//given data
J1=0.735//moment of inertia of main system in Kg-m^2
Kt1=7.35*10^5//torsional stiffness
To=294//amplitude of applied torque
W=10^3//frequency of applied torque
//u=ratio of absorber mass to main mass i.e M2/M1
//Wn is exitation frequency
//calculations
W1=sqrt(Kt1/J1)
//case1
x1=0.8//where x=(W/W2)
u1=[x1^2-1]^2/x1^2//from Eqn 5.7.9,Sec 5.7.1.
//case 2
x2=1.2//where x=(W/W2)
u2=[x2^2-1]^2/x2^2//from Eqn 5.7.9,Sec 5.7.1.
if u1>u2 then
u=u1
else
u=u2
end
J2=u*J1//moment of inertia of absorber in Kg-m^2
Kt2=u*Kt1// total torsional stiffness of absorber
K=Kt2/(4*0.1^2)//stiffness of each spring in N/m
b2=-(To/Kt2)//amplitude of vibration in rad
//output
mprintf('The maximum moment of inertia of absorber(J2) is %4.4f Kg-m^2 and\n %f is the stiffness of each of the four absorber springs such that\n the resonant frequencies are at least 20 percent from exitation frequency.\n The amplitude of vibration of this absorber(b2) at exitation frequency\n is %f radians',J2,K,b2)
|
66bd8fc23ba3225a44bed3d02b8f9a6c5fcc817c
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3665/CH2/EX2.8/Ex2_8.sce
|
d4857c5b1aa7d8d5accb6d6feab0282c32a9adc0
|
[] |
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
|
Ex2_8.sce
|
clc//
//
//
//Variable declaration
r1=1.258; //atomic radius(angstrom)
r2=1.292; //atomic radius(angstrom)
//Calculation
a1=4*r1/sqrt(3); //spacing(angstrom)
n1=((1/8)*8)+1; //number of atoms per unit cell
v1=a1^3/n1; //volume occupied by 1 atom(m^3)
n2=(1/2*6)+(1/8*8); //number of atoms per unit cell
a2=2*sqrt(2)*r2; //spacing(angstrom)
v2=a2^3/n2; //volume occupied by 1 atom(m^3)
dc=(v1-v2)*100/v1; //change in volume(%)
//Result
printf("\n decrease of volume is %0.1f percentage" ,dc)
|
b049e044513506c94ee4c9550e6a758c32005af8
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2342/CH4/EX4.7/EX4_7.sce
|
90bc1c1df6aea8de7e54087e487c24447b6b00c1
|
[] |
no_license
|
FOSSEE/Scilab-TBC-Uploads
|
948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1
|
7bc77cb1ed33745c720952c92b3b2747c5cbf2df
|
refs/heads/master
| 2020-04-09T02:43:26.499817
| 2018-02-03T05:31:52
| 2018-02-03T05:31:52
| 37,975,407
| 3
| 12
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 377
|
sce
|
EX4_7.sce
|
//Exa 4.7
format('v',6)
clc;
clear;
close;
// Given data
I=5;// in µA
V=10;// in V
T1= 0.11;// in °C^-1
T2= 0.07;// in °C^-1
// Io+I_R=I (i)
// dI_by_dT= dIo_by_dT (ii)
// 1/Io*dIo_by_dT = T1 and 1/I*dI_by_dT = T2, So
Io= T2*I/T1;// in µA
I_R= I-Io;// in µA
R= V/I_R;// in MΩ
disp(R,"The leakage resistance in MΩ is : ")
|
9386986b93418506b034aee86fccd3fa6c0542ca
|
364fc2bac23ae5482a18e5e9392ff63e68642dae
|
/TP5/exo1.sce
|
e0df1cb24bd31ecbd09a85c152b11d721e417bfe
|
[] |
no_license
|
Raphael-De-Wang/2M310TP
|
259e55e9dc931b0a0102ed7a5dbbb31e82b88295
|
af21ffee07fadeb5b27c5f30d0deb1926972ccee
|
refs/heads/master
| 2021-01-11T14:14:21.447623
| 2017-03-29T20:27:35
| 2017-03-29T20:27:35
| 81,227,258
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 2,576
|
sce
|
exo1.sce
|
clear;
A = [0,1;-4,0];
// Q1.
function X = osciHarmEulExpl(A,X0,T,p)
hp = T/p;
X = [;];
X(1,:) = X0;
for k = (1:p),
X(k+1,:) = X(k,:) + (hp * A * X(k,:)')' ;
end
endfunction
function test
X0 = [0,1];
T = 10;
Xp50 = osciHarmEulExpl(A,X0,T,50);
Xp100 = osciHarmEulExpl(A,X0,T,100);
Xp300 = osciHarmEulExpl(A,X0,T,300);
Xp1000 = osciHarmEulExpl(A,X0,T,1000);
plot(linspace(0,T,50+1),Xp50(:,1),linspace(0,T,100+1),Xp100(:,1),linspace(0,T,300+1),Xp300(:,1),linspace(0,T,1000+1),Xp1000(:,1));
endfunction
// test
// Q2.
function X = osciHarm(A,X0,T,p)
hp = T/p;
X = [;];
X(1,:) = X0;
t = linspace(0,T,p+1);
for k = (1:p),
X(k+1,:) = [sin(2*t(k))/2,cos(2*t(k))]
end
endfunction
function graphCmp(A,X0,T,p)
t = linspace(0,T,p+1);
X = osciHarm(A,X0,T,p);
XAppr = osciHarmEulExpl(A,X0,T,p);
plot(t,X(:,1),'b',t,XAppr(:,1),'g')
endfunction
X0 = [0;1];
T = 10;
// graphCmp(A,X0,T,10000)
// Q3.
function xdot = chp_vect(t,x)
xdot(1) = x(2);
xdot(2) = -4 * x(1);
endfunction
function graphCmpOde(A,X0,T,p)
t = linspace(0,T,p+1);
X = osciHarm(A,X0,T,p);
Xo= ode(X0,0,t,chp_vect);
XAppr = osciHarmEulExpl(A,X0,T,p);
plot(t,X(:,1),'b',t,XAppr(:,1),'g',t,Xo(1,:),'r')
endfunction
// Q4.
// p = 300;
// graphCmpOde(A,X0,T,p)
// Q5.
T = 50;
function graphCmp2(A,X0,T,p)
t = linspace(0,T,p+1)
t2 = linspace(0,T,p*2+1)
t4 = linspace(0,T,p*4+1)
subplot(121);
X = osciHarm(A,X0,T,p);
X2 = osciHarm(A,X0,T,p*2);
X4 = osciHarm(A,X0,T,p*4);
plot(t,X(:,1),"b")
plot(t2,X2(:,1),"g")
plot(t4,X4(:,1),"r")
subplot(122);
Xo = ode(X0,0,t,chp_vect);
Xo2= ode(X0,0,t2,chp_vect);
Xo4= ode(X0,0,t4,chp_vect);
plot(t,Xo(1,:),"b")
plot(t2,Xo2(1,:),"g")
plot(t4,Xo4(1,:),"r")
endfunction
// graphCmp(A,X0,T,p=10000)
// graphCmp2(A,X0,T,p=100)
// Q6. - xpause ?
function X = osciHarmEulExpl2(A,X0,t0,t1,p)
hp = (t1-t0)/p;
X = [;];
X(1,:) = X0;
for k = (1:p),
X(k+1,:) = X(k,:) + (hp * A * X(k,:)')' ;
end
endfunction
function graphDisc(A,X0,T,p,step)
Tx = [0:step:T]
if Tx($) <> T then,
Tx($+1) = T;
end
X = osciHarm(A,X0,T,p);
t = linspace(0,T,p+1);
plot(t,X(:,1),'r');
for i = (1 : length(Tx)-1),
X = osciHarmEulExpl2(A,X0,Tx(i),Tx(i+1),p);
t = linspace(Tx(i),Tx(i+1),p+1);
plot(t,X(:,1),'b');
xpause(100000);
X0 = X($,:);
end
endfunction
graphDisc(A,X0,T=40,p=10000,step=0.5)
|
9bf49fbab0dc3f5730c93930c80bc2ca5cc081d0
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2207/CH5/EX5.12.3/ex_5_12_3.sce
|
e14004f8eb25430bc0d9fc68a988d9ff5b650c24
|
[] |
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
| 462
|
sce
|
ex_5_12_3.sce
|
//Example 5.12.3: amplitude of the first three lower order harmonis
clc;
clear;
close;
//given data :
v=200;//in volts
n=[(1/3);(1/5);(1/7)];//
for i=1:3
vn(i)=((4*v*n(i))/(sqrt(2)*%pi));//
end
disp(round(vn(1)),"Rms value of third harmonic component of output voltage in volts is")
disp(round(vn(2)),"Rms value of fifth harmonic component of output voltage in volts is")
disp((vn(3)),"Rms value of seventh harmonic component of output voltage in volts is")
|
feec8560a876507c4b2b3f7a23d7dcfba4080218
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/60/CH8/EX8.5/ex_5.sce
|
d9b46c0be95cb7865e7c7921c7ffc1369d5330f6
|
[] |
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
| 83
|
sce
|
ex_5.sce
|
// Example 8.5
deff('[v]=f(x,y)','v=x+y')
[y,x]= adamsbashforth3(0,0,1,1/32,f)
|
7844b0af1e85db3ad3e9c8f7d04265a2126c53b3
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/213/CH2/EX2.1/2_1.sce
|
c2fd0d1f8dc9d34aa9591d6c48ab1878a80219b3
|
[] |
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
| 1,007
|
sce
|
2_1.sce
|
//To Find the Acceleration and Distance
clc
//Given:
u1=0,v1=72*1000/3600 //m/s
s1=500 //m
//Solution:
//Calculating the initial acceleration of the car
a1=(v1^2-u1^2)/(2*s1) //m/s^2
//Calculating time taken by the car to attain the speed
t1=(v1-u1)/a1 //seconds
//Parameters for the second case
u2=v1,v2=90*1000/3600 //m/s
t2=10 //seconds
//Calculating the acceleration for the second case
a2=(v2-u2)/t2 //m/s^2
//Calculating the distance moved by the car in the second case
s2=(u2*t2)+(a2/2*t2^2)
//Parameters for the third case
u3=v2,v3=0 //m/s
t3=5 //seconds
//Calculating the distance moved by the car
s3=(u3+v3)*t3/2 //m
//Results:
printf("\n\n The acceleration of the car, a = %.1f m/s^2. \n",a1)
printf(" The car takes t = %d s to attain the speed.\n",t1)
printf(" The acceleration of the car in the second case, a = %.1f m/s^2.",a2)
printf("\n The distance moved by the car, s = %d m.\n",s2)
printf(" The distance travelled by the car during braking, s = %.1f m.\n\n",s3)
|
8b09855ecd45a9f3865b31ce2d365741ba381a2b
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3733/CH25/EX25.2/Ex25_2.sce
|
cedce7b9608fe22b8105cc6958c1b1007b9eae3c
|
[] |
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
| 1,787
|
sce
|
Ex25_2.sce
|
// Example 25_2
clc;funcprot(0);
//Given data
T_1=20+273;// K
T_3=1100+273;// K
T_5=1000+273;// K
T_11=150;// °C
p_r=8;// Pressure ratio
p_7=80;// bar
T_6a=300+273;// K
T_7=600+273;// K
n_c=100/100;// Isentropic efficiency of compressor
n_t=100/100;// Isentropic efficiency of both turbines
p_8=0.05;// bar
C_p=1;// kJ/kg
C_pa=C_p;
C_pg=C_p;
r=1.4;// Specific heat ratio
CV=61600;// kJ/kg
C_pw=4.2;// kJ/kg°C
// Calculation
// The combustion reaction taking place in CC-I is given by CH_4+2O_2=CO_2+2H_2O
// 16+64=44+36;
m_o=64/16;// Amount of O_2 required in per kg of CH_4
m_a=(100/23)*4;// Amount of air required in kg/kg of fuel
m_act=m_a*5;// Actual air supplied in kg/kg of fuel
m_f1=(1/m_act);// Amount of fuel supplied per kg of air flow through CC-I in kg
T_2a=T_1*(p_r)^((r-1)/r);// K
T_2=((T_2a-T_1)/n_c)+T_1;// K
T_4=T_3/(p_r)^((r-1)/r);// K
// In CC-II
m_a1=1;// kg/sec
m_f2=(m_a1*C_pa*(T_5-T_4))/CV;// kg/kg of air flow
// From h-s chart:
h_7=3510;// kJ/kg
h_11=C_pw*T_11;// kJ/kg
m_s1=(m_a1*C_pg*(T_5-T_6a))/(h_7-h_11);// kg/kg of air
AF=(m_a1/m_s1);
m_a=1.5;// kg/sec(given)
W_g=(m_a*C_pa*((T_3-T_4)-(T_2-T_1)));
m_s=m_a*m_s1;// kg/sec
// From h-s chart:
h_g=2080;// kJ/kg
W_s=(m_s*(h_7-h_g));// kW
W_t=W_g+W_s;// Total power generated in MW
Q_s=(m_f1+m_f2)*m_a*CV;// kW
n=(W_t/Q_s)*100;// Overall efficiency of the plant
m_f=((m_f1+m_f2)*m_a*3600);// Mass of fuel supplied in kg/hr
Sfc=(m_f)/(W_t);// Specific fuel consumption in kg/kWh
printf('\n(i)Total power generating capacity of the plant=%0.0f MW \n(ii)Overall efficiency of the plant=%0.1f percentage \n(iii)Mass of fuel supplied per hour=%0.2f kg/hr \n(iv)Specific fuel consumption=%0.3f kg/kWh',W_t,n,m_f,Sfc);
// The answer vary due to round off error
|
e78b42d2dd0be678c5b38aae73ec7af0a279ee2f
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1268/CH6/EX6.5/6_5.sce
|
0cc6778f0a3ed6b30834c1359dab54601413068c
|
[] |
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
| 303
|
sce
|
6_5.sce
|
clc;
disp("Example 6.5")
d=3e-4 // diameter in m
particleD=2800 // inkg/m^3
waterD=1000 // in kg/m^3
mew= 0.001 // viscosity in kg/ms
K=d*(((waterD*9.81*(particleD-waterD))/(mew*mew))^(1/3))
Re= d*waterD/mew
f=18.5/(Re^0.6)
U=(((4*9.81*(particleD-waterD)*d)/(3*waterD*f))^0.5)^(10/7)
disp(U)
|
e1de9d67d93cd05b4968fb1603f3d2565848e676
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1388/CH10/EX10.10/10_10.sce
|
909fec5486702222554189c8f4fc3bae6ae1f1bc
|
[] |
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
| 193
|
sce
|
10_10.sce
|
clc
//initialisation of variables
k= 6.3*10^2 //ml mole^-1 sec^-1
P= 400 //mm
T= 600 //K
R= 82.06
//CALCULATIONS
C= (P/760)/(R*T)
t= 1/(9*C*k)
//RESULTS
printf (' time= %.1f sec',t)
|
33248bd91873d8ce5ec0564912997242d83ff231
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/174/CH14/EX14.2/example14_2.sce
|
da0344074abbf158280426465baca0fa698fcc4d
|
[] |
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
| 636
|
sce
|
example14_2.sce
|
// To find loss in the fiber
// Modern Electronic Instrumentation And Measurement Techniques
// By Albert D. Helfrick, William D. Cooper
// First Edition Second Impression, 2009
// Dorling Kindersly Pvt. Ltd. India
// Example 14-2 in Page 393
clear; clc; close;
// Given data
NA_1 = 0.3; // numerical apertures of Source fiber
NA_2 = 0.242; //numerical apertures of receiving fiber
//Calculations
loss = 20*log10(NA_1/NA_2);
printf("The energy that is lost through the cladding of the receiving fiber = %0.2f dB",loss);
//Result
// The energy that is lost through the cladding of the receiving fiber = 1.87 dB
|
33d6f26a9607cf63dba99e33ba95bccf562b5825
|
0eea7d48e039f70051ddf39a431c9325998e775e
|
/elim_Gauss.sce
|
8d5fa06a6d3b40db42beaa17738260c88d9f2462
|
[] |
no_license
|
dannylong/Dannylong
|
dc3e200009a356e5c63481737a6f3c3a515fbdab
|
5103df01e5bfef3031627b7eb35f815b63ed862c
|
refs/heads/master
| 2016-09-14T04:58:31.471187
| 2016-05-09T00:32:58
| 2016-05-09T00:32:58
| 58,337,691
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 2,043
|
sce
|
elim_Gauss.sce
|
clear;
// Geração de números aleatórios de 1 a 6
//fix(6*rand()+1);
A = [6 2 -1; 2 4 1; 3 2 8];
b = [7 7 13];
function Ab = gauss(A, b)
Ab = [A b']; //Matriz aumentada Ab
[linhas colunas] = size(A);
for j = 1:colunas
pivo = Ab(j, j);
// PIVOTAMENTO PARCIAL
//Pivotamento
maiorLinha = j;
for i = (j+1):linhas
//procurar a linha do maior elemento
if (abs(Ab(i,j)) > abs(Ab(maiorLinha, j))) then
maiorLinha = i;
end
end
//Permutar a linha do pivo(j) com a linha maiorLinha
aux = Ab(j,:);
Ab(j,:) = Ab(maiorLinha, :);
Ab(maiorLinha, :) = aux;
//Atualizar o pivo após o pivotamento
pivo = Ab(j,j)
for i = (j+1):linhas
//zerar todos os termos abaixo do pivo
//zerar o elemento Ab(i,j)
Ab(i,:) = Ab(i, :) - (Ab(i,j)/pivo)*Ab(j,:);
end
end
endfunction
// Tratamento da Matriz aumentada "triangular superior"
function x = resolMatTrSupAumentada(Ab)
[linhas colunas] = size(Ab);
x = (1:linhas)'; // Vetor solução, inicializado com uma sequência de 1 à ordem da Matriz A
for i = linhas:-1:1
pivo = Ab(i, i);
x(i) = Ab(i, colunas)/pivo;
for j = 1:(colunas-1);
if (j<>i) then
x(i) = x(i) - x(j)*Ab(i, j)/pivo;
end
end
end
endfunction
// Tratamento da Matriz aumentada "triangular inferior"
function x = resolMatTrInfAumentada(Ab)
[linhas colunas] = size(Ab);
x = (1:linhas)'; // Vetor solução, inicializado com uma sequência de 1 à ordem da Matriz A
for i = 1:linhas
pivo = Ab(i, i);
x(i) = Ab(i, colunas)/pivo;
for j = 1:(colunas-1);
if (j<>i) then
x(i) = x(i) - x(j)*Ab(i, j)/pivo;
end
end
end
endfunction
function x = resolverSistemaLinear(A, b)
x = resolMatTrSupAumentada(gauss(A,b));
endfunction
|
443d4d5c55cfc230c265c8ea496df4289c319b07
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1388/CH6/EX6.15/6_15.sce
|
b67c3711ea433609252000ca759d422b3a65fbe8
|
[] |
no_license
|
FOSSEE/Scilab-TBC-Uploads
|
948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1
|
7bc77cb1ed33745c720952c92b3b2747c5cbf2df
|
refs/heads/master
| 2020-04-09T02:43:26.499817
| 2018-02-03T05:31:52
| 2018-02-03T05:31:52
| 37,975,407
| 3
| 12
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 189
|
sce
|
6_15.sce
|
clc
//initialisation of variables
G0 = 0 //cal
G= 13200 //cal
T1= 298.2
H1= 23100 //cal
//CALCULATIONS
T= 1/((H1/T1)-(G/T1)-(G0/T1))
//RESULTS
printf (' Temperature = %.3f K ',T)
|
9f7b5d1bcc0b78d4951f6a745b8a907d56cea437
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1445/CH1/EX1.40/ch1_ex_40.sce
|
09fde3e60109fac8920a4d50a90c7b9c9fa2cc5c
|
[] |
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
| 955
|
sce
|
ch1_ex_40.sce
|
//CHAPTER 1- D.C. CIRCUIT ANALYSIS AND NETWORK THEOREMS
//Example 40
disp("CHAPTER 1");
disp("EXAMPLE 40");
//VARIABLE INITIALIZATION
v1=20; //in Volts
v2=10; //in Volts
r1=5; //top resistance in Ohms
r2=10; //bottom resistance in Ohms
r3=5; //in Ohms
r4=5; //in Ohms
r5=10; //in Ohms
//SOLUTION
//(5)I1+(10)I3+(-10)I4=20............eq (1)
//(0)I1+(10)I3+(10)I4=-50............eq (2)
//(5)I1+(20)I3+(0)I4=-30.............eq (3) (eq(1) + eq(2))
//Since the determinant of matrix A is 0, hence, the set of these equations cannot be solved by matrix method
//So, solving them directly,
I3=-15/25;
I1=-3-(3/5);
I4=-5-(-3/5);
I=I1+3+5;
disp("The currents (in Amperes) flowing in different branches are:");
disp(I1);
disp(I3);
disp(I4);
disp(sprintf("The total current is %f A",I));
//END
|
5739944626c773acf4991ea11b794e331148d89c
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/70/CH1/EX1.4.2/1_4_2.sci
|
d5196e94f3206aa9b9f9a87e6741aaec73072725
|
[] |
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
| 122
|
sci
|
1_4_2.sci
|
clear;
close;
clc;
A=[2 3;7 8];
disp(A,'A=');
P=[0 1;1 0];
disp(P,'P(Row exchange matrix)=')
disp(P*A,'PA=')
//end
|
09092f8b41717c8c210dc536f5286147413f3e35
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/615/CH8/EX8.8/8_8.sce
|
bd09ac07304591a6c0c446192767cd027f940772
|
[] |
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
| 690
|
sce
|
8_8.sce
|
//Fuels and Combustion//
//Example 8.8//
CH4=0.14;//volume of CH4 in 1m3 volume of gaseous fuel in m3//
H2=0.32;//volume of H2 in 1m3 volume of gaseous fuel in m3//
N2=0.40;//volume of N2 in 1m3 volume of gaseous fuel in m3//
O2=0.14;//volume of O2 in 1m3 volume of gaseous fuel in m3//
printf('Volume of oxygen required for CH4=0.14*2=0.28m3');
printf('\nVolume of oxygen required for H2=0.32*0.5=0.16m3');
printf('\nTotal oxygen required=0.28+0.16=0.44m3');
printf('\nOxygen already present=0.14m3');
printf('\nNet oxygen required=0.44-0.14=0.30m3=300Letres');
printf('\nVolume of air required assuming 21percent oxygen in air by volume=300*(100/21)*(125/100)=1785.7Letres');
|
4e97880f7f045103d7cf0b16ce616ca0aa44299f
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2093/CH3/EX3.11/exa_3_11.sce
|
56472f7b388cda6a2958007fa2e0fd363457b2ef
|
[] |
no_license
|
FOSSEE/Scilab-TBC-Uploads
|
948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1
|
7bc77cb1ed33745c720952c92b3b2747c5cbf2df
|
refs/heads/master
| 2020-04-09T02:43:26.499817
| 2018-02-03T05:31:52
| 2018-02-03T05:31:52
| 37,975,407
| 3
| 12
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 481
|
sce
|
exa_3_11.sce
|
// Exa 3.11
clc;
clear;
close;
// Given data
V_B= 4;// in V
V_BE= 0.7;// in V
V_CC= 10;// in V
V_E= V_B-V_BE;// in V
R_E= 3.3;// in kΩ
R_E=R_E*10^3;// in Ω
RC= 4.7;// in kΩ
RC=RC*10^3;// in Ω
I_E= V_E/R_E;// in A
bita=100;
alpha= bita/(1+bita);
I_C= alpha*I_E;//in A
disp(I_C*10^3,"The value of I_C in mA is : ")
V_C= V_CC-I_C*RC;// in V
disp(V_C,"The value of V_C in volts is : ")
I_B= I_E/(1+bita);// in A
disp(I_B*10^3,"The value of I_B in mA is : ")
|
1c26e370fd2c7a7b8e4b2d58c443eff135c5d48d
|
e806e966b06a53388fb300d89534354b222c2cad
|
/macros/imwarp.sci
|
a920ffa60a046bc209f732049bd3b518c7eaaec4
|
[] |
no_license
|
gursimarsingh/FOSSEE_Image_Processing_Toolbox
|
76c9d524193ade302c48efe11936fe640f4de200
|
a6df67e8bcd5159cde27556f4f6a315f8dc2215f
|
refs/heads/master
| 2021-01-22T02:08:45.870957
| 2017-01-15T21:26:17
| 2017-01-15T21:26:17
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 155
|
sci
|
imwarp.sci
|
function [output] = imwarp(img,matrix)
image = mattolist(img);
a = imwarp(image,matrix)
d = size(a)
for i=1:d
output(:,:,i) = a(i);
end
endfunction
|
1357a8f4f320d9db6191e1265223d3009fc8924e
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/671/CH11/EX11.7/11_7.sce
|
99f9f027d3aee4337216db2f53f629b5865799be
|
[] |
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
| 144
|
sce
|
11_7.sce
|
f=50
ns=100
P=110000
pf=0.8
p=120*f/ns
disp(p)
kVA=P/pf/1000
disp(kVA)
kW=P/0.971/1000
disp(kW)
Tpm=kW*1000*60/2/%pi/ns
disp(Tpm)
|
b8cab48e85fb1c49f02bcbc6f88e38c779e89051
|
42fdf741bf64ea2e63d1546bb08356286f994505
|
/test_0723_shift_registers_currentsum/graph.sce
|
76ff7e66957163d012ad8e0d9a49072145b9329d
|
[] |
no_license
|
skim819/RASP_Workspace_sihwan
|
7e3cd403dc3965b8306ec203007490e3ea911e3b
|
0799e146586595577c8efa05c647b8cb92b962f4
|
refs/heads/master
| 2020-12-24T05:22:25.775823
| 2017-04-01T22:15:18
| 2017-04-01T22:15:18
| 41,511,563
| 1
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 6,024
|
sce
|
graph.sce
|
data_00 = [
0 185E-09 184E-09 182E-09;
1 254E-09 216E-09 188E-09;
2 430E-09 313E-09 211E-09;
3 620E-09 417E-09 235E-09;
4 775E-09 505E-09 257E-09;
5 953E-09 609E-09 284E-09;
6 994E-09 631E-09 289E-09;
7 1.132E-06 706E-09 306E-09;
8 1.217E-06 753E-09 317E-09;
];
data_00(:,2) = data_00(:,2) * 1E+09;
data_00(:,3) = data_00(:,3) * 1E+09;
data_00(:,4) = data_00(:,4) * 1E+09;
scf(1);clf(1);
plot2d("nn", data_00(:,1), data_00(:,2));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 1;p.children.line_mode = 'off';
plot2d("nn", data_00(:,1), data_00(:,3));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 2;p.children.line_mode = 'off';
plot2d("nn", data_00(:,1), data_00(:,4));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 3;p.children.line_mode = 'off';
a=gca();a.data_bounds(1,1)=0;a.data_bounds(1,2)=0;a.data_bounds(2,1)=8;a.data_bounds(2,2)=1500;
//a.auto_ticks = ["off","on","on"];
//drawaxis(x=0:6,dir='d',tics='v');
legend("Target program 100nA","Target program 50nA","Target program 10nA","in_lower_right"); // "in_upper_left" "in_lower_right"
xtitle("","# of current source","Current [nA]");
data_00(:,5) = [0;diff(data_00(:,2))];
data_00(:,6) = [0;diff(data_00(:,3))];
data_00(:,7) = [0;diff(data_00(:,4))];
data_01 = [
1 253E-09 217E-09 187E-09;
2 363E-09 281E-09 205E-09;
3 390E-09 294E-09 206E-09;
4 359E-09 276E-09 203E-09;
5 391E-09 297E-09 208E-09;
6 235E-09 206E-09 186E-09;
7 362E-09 274E-09 199E-09;
8 299E-09 238E-09 192E-09;
];
data_01(:,2) = data_01(:,2) * 1E+09;
data_01(:,3) = data_01(:,3) * 1E+09;
data_01(:,4) = data_01(:,4) * 1E+09;
data_01(:,2) = data_01(:,2) - data_00(1,2);
data_01(:,3) = data_01(:,3) - data_00(1,3);
data_01(:,4) = data_01(:,4) - data_00(1,4);
scf(2);clf(2);
plot2d("nn", data_00(:,1), data_00(:,5));p = get("hdl"); p.children.mark_style = 2; p.children.mark_foreground = 1;p.children.line_mode = 'off';
plot2d("nn", data_01(:,1), data_01(:,2));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 1;p.children.line_mode = 'off';
plot2d("nn", data_00(:,1), data_00(:,6));p = get("hdl"); p.children.mark_style = 2; p.children.mark_foreground = 2;p.children.line_mode = 'off';
plot2d("nn", data_01(:,1), data_01(:,3));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 2;p.children.line_mode = 'off';
plot2d("nn", data_00(:,1), data_00(:,7));p = get("hdl"); p.children.mark_style = 2; p.children.mark_foreground = 3;p.children.line_mode = 'off';
plot2d("nn", data_01(:,1), data_01(:,4));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 3;p.children.line_mode = 'off';
a=gca();a.data_bounds(1,1)=0;a.data_bounds(1,2)=0;a.data_bounds(2,1)=8;a.data_bounds(2,2)=250;
legend("Target program 100nA","Target program 100nA","Target program 50nA","Target program 50nA","Target program 10nA","Target program 10nA","in_upper_right"); xtitle("","Current source number","Current (- offset) [nA]");
data_02 = [
0 7.7E-09 6.9E-09 191E-09;
1 124.3E-09 82.0E-09 208E-09;
2 224.6E-09 156.1E-09 224E-09;
3 317.9E-09 221.9E-09 239E-09;
4 404.5E-09 283.8E-09 254E-09;
5 484.5E-09 350.2E-09 269E-09;
6 557.5E-09 403.9E-09 284E-09;
7 621.8E-09 454.3E-09 298E-09;
8 679.8E-09 502.0E-09 312E-09;
];
data_02(:,2) = data_02(:,2) * 1E+09;
data_02(:,3) = data_02(:,3) * 1E+09;
data_02(:,4) = data_02(:,4) * 1E+09;
scf(3);clf(3);
plot2d("nn", data_02(:,1), data_02(:,2));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 1;p.children.line_mode = 'off';
plot2d("nn", data_02(:,1), data_02(:,3));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 2;p.children.line_mode = 'off';
plot2d("nn", data_02(:,1), data_02(:,4));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 3;p.children.line_mode = 'off';
a=gca();a.data_bounds(1,1)=0;a.data_bounds(1,2)=0;a.data_bounds(2,1)=8;a.data_bounds(2,2)=1500;
//a.auto_ticks = ["off","on","on"];
//drawaxis(x=0:6,dir='d',tics='v');
legend("Target program 100nA","Target program 50nA","Target program 10nA","in_lower_right"); // "in_upper_left" "in_lower_right"
xtitle("","# of current source","Current [nA]");
data_02(:,5) = [0;diff(data_02(:,2))];
data_02(:,6) = [0;diff(data_02(:,3))];
data_02(:,7) = [0;diff(data_02(:,4))];
data_03 = [
1 123.3E-09 85.7E-09 208E-09;
2 122.2E-09 87.9E-09 208E-09;
3 118.7E-09 82.1E-09 207E-09;
4 120.0E-09 81.0E-09 206E-09;
5 123.8E-09 94.0E-09 208E-09;
6 124.0E-09 87.4E-09 208E-09;
7 118.0E-09 83.7E-09 207E-09;
8 118.1E-09 85.0E-09 208E-09;
];
data_03(:,2) = data_03(:,2) * 1E+09;
data_03(:,3) = data_03(:,3) * 1E+09;
data_03(:,4) = data_03(:,4) * 1E+09;
data_03(:,2) = data_03(:,2) - data_02(1,2);
data_03(:,3) = data_03(:,3) - data_02(1,3);
data_03(:,4) = data_03(:,4) - data_02(1,4);
scf(4);clf(4);
plot2d("nn", data_02(:,1), data_02(:,5));p = get("hdl"); p.children.mark_style = 2; p.children.mark_foreground = 1;p.children.line_mode = 'off';
plot2d("nn", data_03(:,1), data_03(:,2));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 1;p.children.line_mode = 'off';
plot2d("nn", data_02(:,1), data_02(:,6));p = get("hdl"); p.children.mark_style = 2; p.children.mark_foreground = 2;p.children.line_mode = 'off';
plot2d("nn", data_03(:,1), data_03(:,3));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 2;p.children.line_mode = 'off';
plot2d("nn", data_02(:,1), data_02(:,7));p = get("hdl"); p.children.mark_style = 2; p.children.mark_foreground = 3;p.children.line_mode = 'off';
plot2d("nn", data_03(:,1), data_03(:,4));p = get("hdl"); p.children.mark_style = 9; p.children.mark_foreground = 3;p.children.line_mode = 'off';
a=gca();a.data_bounds(1,1)=0;a.data_bounds(1,2)=0;a.data_bounds(2,1)=8;a.data_bounds(2,2)=250;
legend("Target program 100nA","Target program 100nA","Target program 50nA","Target program 50nA","Target program 10nA","Target program 10nA","in_upper_right"); // "in_upper_left" "in_lower_right"
xtitle("","Current source number","Current (- offset) [nA]");
|
8f49e108976fe65ad52a1764536d8e6e9de6a902
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1703/CH9/EX9.5/9_5.sce
|
f7c4fec96156b76d1c17b37ec7ecbf4d7b6f45e6
|
[] |
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
| 269
|
sce
|
9_5.sce
|
clear
clc
//initialisation of variables
V= 90 //ft/sec
a= 30 //degrees
u= 45 //ft/sec
//CALCULATIONS
w= V*cosd(a)
f= sqrt(V^2-w^2)
b= atand(f/(w-u))
V1= sqrt(f^2+(u-f*cotd(b))^2)
//RESULTS
printf ('absolute velocity of water at the exit = %.1f ft/sec',V1)
|
89e8527d508f581c81199bb9866d9d9c1614161f
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3281/CH2/EX2.1/ex2_1.sce
|
984e803956afa4ca581d41c87f876d2003b36d24
|
[] |
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
| 268
|
sce
|
ex2_1.sce
|
//Page Number:91
//Example 2.1
clc;
//Given,
a=6;//cm
b=4;//cm
d=4.47;//cm
c=3D+8; //m/s
lamc=2*a;
lamg=2*d;
//Signal wavelength
lam=lamg*lamc/(sqrt(lamg^2+lamc^2));
lam=lam/100; //m
f=c/lam;
disp('Ghz',f/1D+9,'Signal frequency of dominant mode:');
|
edf2125279fee4eed4021934516271607c342403
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/752/CH20/EX20.2.4/20_2_4.sce
|
a0ddde2079cb2859bc342597bb7a6924178d2162
|
[] |
no_license
|
FOSSEE/Scilab-TBC-Uploads
|
948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1
|
7bc77cb1ed33745c720952c92b3b2747c5cbf2df
|
refs/heads/master
| 2020-04-09T02:43:26.499817
| 2018-02-03T05:31:52
| 2018-02-03T05:31:52
| 37,975,407
| 3
| 12
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 327
|
sce
|
20_2_4.sce
|
clc;
//page no 762
//prob no. 20.2.4
//refer example 20.2.3
a=2;//gradding profile index
V=69.1;//normalized cutoff freq.
N=2390;//number of modes supported as a step index fiber
//Determination of no. of modes supported by graded index fiber
N_a=(N*a)/(a+2);
disp(N_a,'no. of modes supported by graded index fiber');
|
3058225ad5e00f3cd6be6e87af5b0f228aead49d
|
13c3ed7bef4d80dabd836219bbf4396f07cb934a
|
/addfuntiondemo.sci
|
e9387ae9fb23a84d7e1afcd09b0b5025dfe500bb
|
[] |
no_license
|
Mushirahmed/scilab_workspace
|
99f489a110a5e295ce9fca9991122d14840018d3
|
f58b91b87bb0357fff82dcb97b05541e7e976eca
|
refs/heads/master
| 2021-01-10T15:48:40.576771
| 2016-02-10T10:32:46
| 2016-02-10T10:32:46
| 43,348,489
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 136
|
sci
|
addfuntiondemo.sci
|
//SCI2C: DEFAULT_PRECISION= FLOAT
function addfuntiondemo()
a = 1;
b = 2;
c = a + b; //d0d0OpPlusd0
disp(c)
endfunction
|
1bb9302d331599d5d2b0cfed53ddf94a0152c254
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3472/CH7/EX7.2/Example7_2.sce
|
e27794c524d6962f368ea05b23d00d5510e7c38e
|
[] |
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
| 774
|
sce
|
Example7_2.sce
|
// A Texbook on POWER SYSTEM ENGINEERING
// A.Chakrabarti, M.L.Soni, P.V.Gupta, U.S.Bhatnagar
// DHANPAT RAI & Co.
// SECOND EDITION
// PART I : GENERATION
// CHAPTER 7: TARIFFS AND ECONOMIC ASPECTS IN POWER GENERATION
// EXAMPLE : 7.2 :
// Page number 73
clear ; clc ; close ; // Clear the work space and console
// Given data
maximum_demand = 480.0*10**3 // Maximum demand(kW)
LF = 0.4 // Annual load factor
// Calculation
hours_year = 365.0*24 // Total hours in a year
energy_gen = maximum_demand*LF*hours_year // Total energy generated annually(kWh)
// Results
disp("PART I - EXAMPLE : 7.2 : SOLUTION :-")
printf("\nTotal energy generated annually = %.5e kWh", energy_gen)
|
c696bd65bc0efa03095149e067d69e7b2279ceba
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1163/CH3/EX3.16/example_3_16.sce
|
2c2aac9e234c1f7804a5d872c1c3505fadc66ab6
|
[] |
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
| 255
|
sce
|
example_3_16.sce
|
clear;
clc;
disp("--------------Example 3.16---------------")
L=8; // number of levels
bits_per_level=log2(L); // formula to calculate number of bits per level
printf("The number of bits per level is %d bits.",bits_per_level); // display the result
|
60d556798b384eb468f64a93bba295d3ced51c1d
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1748/CH1/EX1.15.p/prob1_15.sce
|
90194bc8c0fbb2c4c1663988e470a308c786ee8f
|
[] |
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
| 1,573
|
sce
|
prob1_15.sce
|
// Prob 1.15
clc;
clear;
close;
format('v',7);
// Given data
P=1000//in KVA
VL=11000;//in volt
m=3;//no. of phase
Ra=3.5;//in ohm/phase
Xa=40;//in ohm/phase
Ia=P*1000/(VL*sqrt(3));//in Ampere
V=VL/sqrt(3);//in volt
cosfi=0.8;
fi=acosd(cosfi);//in degree
Va_resistance=Ia*Ra;//drop in resistance in volt
Va_reactance=Ia*Xa;//drop in reactance in volt
ER=sqrt(Va_resistance^2+Va_reactance^2);
tan_theta=Xa/Ra;//unitless
theta=atand(tan_theta);//in degree
//Part (a)
Eb=sqrt(V^2+ER^2-2*V*ER*cosd(theta));//in V/phase
Eline=sqrt(3)*Eb;//in Volt
disp(Eline,"(a) Induced emf(V) : ");
//Applying sine rule
alfa=asind(ER/Eb*sind(theta));//in degree
disp("Angular retardation "+string(floor(alfa))+" degree "+string(floor(60*(alfa-floor(alfa))))+"min");
//Part (b)
Eb=sqrt(V^2+ER^2-2*V*ER*cosd(theta-fi));//in V/phase
Eline=sqrt(3)*Eb;//in Volt
disp(Eline,"(b) Induced emf(V) : ");
//Applying sine rule
alfa=asind(ER/Eb*sind(theta-fi));//in degree
disp("Angular retardation "+string(floor(alfa))+" degree "+string(floor(60*(alfa-floor(alfa))))+"min");
//Part (c)
Eb=sqrt(V^2+ER^2-2*V*ER*cosd(theta+fi));//in V/phase
Eline=sqrt(3)*Eb;//in Volt
disp(Eline,"(c) Induced emf(V) : ");
//Applying sine rule
alfa=asind(ER/Eb*sind(theta+fi));//in degree
disp("Angular retardation "+string(floor(alfa))+" degree "+string(floor(60*(alfa-floor(alfa))))+"min");
//Note : Figure given in this question is not a plot. It is just drawn to represent data and can't be plotted.
//Note : Answers in the book is not as much accurate as calculated by Scilab.
|
74f49d86d90c45883c4901189088ec30238626b5
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3834/CH11/EX11.3.5/Ex11_3_5.sce
|
e097b8f7edc02f556039ac9eabdd13420fb306a5
|
[] |
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
| 758
|
sce
|
Ex11_3_5.sce
|
//Fiber-optics communication technology, by Djafer K. Mynbaev and Lowell L. Scheiner
//Example 11.3.5
//windows 7
//Scilab version-6.0.0
clc;
clear ;
//given
BER=1E-9;//bit error rate
Kb=1.38E-23;//Boltzman constant in J/K
T=300;//Room temperature in K
P=Kb*T;//constant
Rl=50E+3;//load resistance in ohm
x=(4*P)/Rl;//constant
BWpd=2.5e9//Bandwidth of MF-432 in Hz
R=1//responsivity in A/W from data sheet
It=sqrt(x*BWpd);
Q=6;
e=1.6E-19;//Electrons value in Coulomb
Pmin=(It+e*Q*BWpd)*(Q/R);//The minimal optical power-photodiode sensitivity Pmin in W
mprintf("The minimal optical power-photodiode sensitivity Pmin= %.2f dBm",10*log10(Pmin/1e-3));//the answer vary due to rounding//division by 1e-3 to convert unit from dB to dBm
|
c15697ba40280984f31df44916e84a3b75a30945
|
717ddeb7e700373742c617a95e25a2376565112c
|
/806/DEPENDENCIES/282.sci
|
85db00f7136c1bd51faf5feedee3a03e7982f433
|
[] |
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
| 141
|
sci
|
282.sci
|
w=2//m(Width of gate)
r=1.5//m(Radius of gate)
h=4.5//m(Height of water above the top edge of gate)
p=9810//N/m^3(Weight density of water)
|
1d92e1637b8a427d542e1e62ca2d94908cdb659e
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3137/CH12/EX12.18/Ex12_18.sce
|
f9371ddb2f8656f91e393d569d59f46f13bc7887
|
[] |
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
| 508
|
sce
|
Ex12_18.sce
|
//Initilization of variables
theta=%pi/3 //rad
//Calculations
t=sqrt(theta) //s
thetadot=2*t
thetadoubledot=2
r=2*t^2
rdot=4*t
rdoubledot=4
ax=rdoubledot-(r*thetadoubledot*thetadoubledot) //ft/s^2
ay=2*rdot*thetadot+r*thetadoubledot //ft/s^2
a=sqrt(ax^2+ay^2)
thetax=30+atand(ax/ay) //degrees
//Solving by cartesian co-ordinate system yields same solution
//Result
clc
printf('The acceleration is %f ft/s^2 and thetax=%f degrees',a,thetax)
//Decimal accuracy causes discrepancy in answers
|
b07481ddeba7beb3f491494bd939e865812bf759
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/671/CH7/EX7.18/7_18.sce
|
aa59d086a63e9e0373139d8bffcc604e265a8929
|
[] |
no_license
|
FOSSEE/Scilab-TBC-Uploads
|
948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1
|
7bc77cb1ed33745c720952c92b3b2747c5cbf2df
|
refs/heads/master
| 2020-04-09T02:43:26.499817
| 2018-02-03T05:31:52
| 2018-02-03T05:31:52
| 37,975,407
| 3
| 12
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 142
|
sce
|
7_18.sce
|
fluxc=1.5E-3
Ac=12/10000
Bc=fluxc/Ac
Hc=1250
lc=0.3
F=Hc*lc
Fa=200*1
Fb=600*0.75
Fc=F-Fb+Fa
Nc=Fc/0.5
disp(Nc) ////clockwise5
|
040b349eb418d7b16ba4d1165217ed1c5edfdd41
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/413/CH2/EX2.4/Example_2_4.sce
|
c307d1cf252a0865670739da09ec1cc2c83aa6e4
|
[] |
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
| 560
|
sce
|
Example_2_4.sce
|
//Compute the Frobenius norms of A, B, C and the infinity norms
clearglobal()
clc;
A=[5 9;-2 1]
printf('Matrix A is')
disp(A)
printf('Frobenius Norm of A is')
disp(norm(A,'fro'))
B=[0.1 0;0.2 0.1]
printf('infinite Norm of A is')
disp(norm(A,'inf'))
printf('Matrix B is')
disp(B)
printf('Frobenius Norm of B is')
disp(norm(B,'fro'))
printf('infinite Norm of B is')
disp(norm(B,'inf'))
C=[0.2 0.1;0.1 0]
printf('Matrix C is')
disp(C)
printf('Frobenius Norm of C is')
disp(norm(C,'fro'))
printf('infinite Norm of C is')
disp(norm(C,'inf'))
|
0e2731ae854ab916c67c7f35ef15ba056c116c22
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1529/CH6/EX6.15/6_15.sce
|
c600e58e8d5e8c40900c65c59ef0db06c3bcbb69
|
[] |
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
| 509
|
sce
|
6_15.sce
|
//Chapter 6, Problem 15
clc;
V=1.25*10^3; //Voltage across terminals
C=0.2*10^-6; //Capacitance of capacitor
E=50*10^6; //Dielectric strength
e0=8.85*10^-12;
er=6;
d=(V/E); //Calculating distance between plates
A=(C*d)/(e0*er); //Calculating area of plates
disp("(a)")
printf("Thickness of the mica needed = %f mm\n\n",d*10^3);
disp("(b)")
printf("Area of a plate = %f cm2",A*10^4);
|
8b6dc2b83372e773acce7d2ed1661734aaf9d0ed
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/551/CH13/EX13.4/4.sce
|
9ca5049cd6f7f9f3118485b2368b72141e270045
|
[] |
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
| 247
|
sce
|
4.sce
|
clc
// First case
//(T1-T2)/T1=1/6
//T1=1.2*T2
// Second case
//(T1-(T2-(70+273)))/T3=1/3
T2=1029/0.6;
T1=1.2*T2;
disp("Temperature of the source =")
disp(T1)
disp("K")
disp("Temperature of the sink=")
disp(T2)
disp("K")
|
52a7f7d08f6d948294e64614afb7682e890ee1de
|
e806e966b06a53388fb300d89534354b222c2cad
|
/macros/imextendedmin.sci
|
bd7ef808f3714cb753ca373aa44c16b5ef39e94c
|
[] |
no_license
|
gursimarsingh/FOSSEE_Image_Processing_Toolbox
|
76c9d524193ade302c48efe11936fe640f4de200
|
a6df67e8bcd5159cde27556f4f6a315f8dc2215f
|
refs/heads/master
| 2021-01-22T02:08:45.870957
| 2017-01-15T21:26:17
| 2017-01-15T21:26:17
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 208
|
sci
|
imextendedmin.sci
|
function[dstMat] = imextendedmin(srcImg, Hmin)
srcMat = mattolist(srcImg)
out = opencv_imextendedmin(srcMat, Hmin)
channel = size(out)
for i = 1: channel
dstMat(:,:,i) = out(i)
end
endfunction
|
8f159e7f51291e22ae406af32aa13ef1674abbe4
|
089894a36ef33cb3d0f697541716c9b6cd8dcc43
|
/NLP_Project/test/blog/bow/bow.19_13.tst
|
c8e5325f927c27ce6112e3db23a9f787caf54312
|
[] |
no_license
|
mandar15/NLP_Project
|
3142cda82d49ba0ea30b580c46bdd0e0348fe3ec
|
1dcb70a199a0f7ab8c72825bfd5b8146e75b7ec2
|
refs/heads/master
| 2020-05-20T13:36:05.842840
| 2013-07-31T06:53:59
| 2013-07-31T06:53:59
| 6,534,406
| 0
| 1
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 3,499
|
tst
|
bow.19_13.tst
|
19 67:0.1111111111111111 77:1.0 215:1.0 872:1.0
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19 45:0.125 77:1.0
19 4:0.1 35:0.022222222222222223 45:0.125 67:0.1111111111111111 1117:1.0
19 45:0.125 77:1.0
19 4:0.1 35:0.022222222222222223 67:0.1111111111111111 867:1.0
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19 77:1.0 218:0.5 654:1.0
19 4:0.1 12:0.125 35:0.022222222222222223 67:0.1111111111111111
19 77:1.0 1180:1.0
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19 12:0.125 132:0.07142857142857142 827:1.0
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19 10:1.0 35:0.022222222222222223 37:0.25 108:1.0 139:0.3333333333333333 239:1.0 445:0.5 614:1.0 1004:0.3333333333333333
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19 45:0.125
19 2:0.5 4:0.3 10:1.0 11:1.0 35:0.06666666666666667 44:0.25 45:0.625 55:1.0 104:0.3333333333333333 149:2.0 155:4.0 192:1.0 232:0.5 242:0.3333333333333333 253:1.0 297:1.0 345:1.0 541:1.0 547:1.0 815:0.5 837:1.0 867:1.0 874:1.0 970:1.0 974:1.0 998:1.0 999:1.0 1005:1.0 1006:1.0 1217:1.0 1218:1.0 1239:1.0
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19 4:0.1 10:1.0 22:1.0 37:0.125 45:0.125 164:0.25 232:0.5 242:0.3333333333333333 247:1.0 366:1.0
19 4:0.1 11:0.5 15:1.0 22:1.0 232:0.5 264:1.0 392:0.5 937:1.0 949:1.0 1168:1.0
19 22:1.0 45:0.125 447:1.0 858:1.0
19 2:0.5 4:0.1 11:1.0 12:0.125 22:1.0 26:0.08333333333333333 34:0.5 55:1.0 75:1.0 192:1.0 232:0.5 243:1.0 247:1.0 253:1.0 656:0.5 820:1.0 892:1.0 972:1.0 1070:1.0
19 22:1.0 26:0.08333333333333333
19 2:0.5 12:0.125 15:1.0 35:0.022222222222222223
19 22:1.0 48:0.07692307692307693 132:0.07142857142857142 149:1.0 491:1.0 708:1.0 800:1.0 837:1.0
19 11:0.5 19:0.14285714285714285 35:0.022222222222222223 37:0.125 47:1.0 208:0.5 447:1.0 607:1.0 808:1.0
19 35:0.022222222222222223 75:1.0 516:1.0 816:1.0 865:1.0
|
4d79cba03086e731e684efeb06c352cce686d457
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1955/CH9/EX9.10/example10.sce
|
b61c472bcff35dcca03de495739fdb0506263fc6
|
[] |
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
| 1,227
|
sce
|
example10.sce
|
clc
clear
//input data
D=1.4//Diameter of the turbine in m
N=430//Speed of the turbine in rpm
Cr1=9.5//Flow velocity without shock at runner in m/s
C2=7//Absolute velocity at the exit without whirl in /s
dSPH=62//Difference between the sum of static and potential heads at entrance to runner and at exit from runner in m
W=12250//Power given to runner in kW
Q=12//Flow rate of water from the turbine in m^3/s
H=115//Net head from the turbine in m
g=9.81//Acceleration due to gravity in m/s^2
dw=1000//Density of water in kg/m^3
//calculations
U1=(3.1415*D*N)/60//Runner tip speed in m/s
Cx1=(W*10^3)/(dw*Q*U1)//Absolute inlet velocity in m/s as flow is radial at outlet Cx2=0 in m/s as Cx2=0 as zero whirl at outlet
a1=atand(Cr1/Cx1)//Guide vane angle in degree
C1=(Cr1^2+Cx1^2)^(1/2)//Inlet velocity in m/s
b1=atand(Cr1/(Cx1-U1))//Runner blade entry angle in degree
dHr=dSPH+(((C1^2)-(C2^2))/(2*g))-(U1*Cx1/g)//Loss of head in the runner in m
//output
printf('(a)\n (1)Guide vane angle at inlet is %3.1f degree\n (2)Inlet absolute velocity of water at entry to runner is %3.1f m/s\n(b)Runner blade entry angle is %3.1f degree\n(c)Total Loss of head in the runner is %3.2f m',a1,C1,b1,dHr)
|
55d23d45cb6c9b6f2e85cd4aac39c63975748d9a
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3428/CH9/EX4.9.2/Ex4_9_2.sce
|
1967850baa65687d776a4e12968a2e535dcabd8b
|
[] |
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
| 427
|
sce
|
Ex4_9_2.sce
|
//Section-4,Example-2,Page no.-I.9
//To calculate the temperature of the sun's surface.
clc;
lm=677.4*10^-9 //Wavelength(nm)
M=57 //Molar Mass(gm/mol)
d_lm=5.3*10^-12 //Width at half height(m)
R=8.314 //JK^-1mol^-1
C=3*10^8 //(m/s)
//d_lm=(((2*lm)/c)*((2*R*T*ln2)/M)^0.5)
T=((M*(C*d_lm)^2)/(2*R*log(2)*(2*lm)^2))
disp(T,'temperature of the sun surface(K)')
|
66fd101c44d3bc442086c87f502c6d2b6f52b0d6
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1664/CH6/EX6.2/Ex6_2.sce
|
06e380df77fcdd80791943b6b79dfaadaedb3e7e
|
[] |
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
| 671
|
sce
|
Ex6_2.sce
|
//Example No.6.2.
//Page No.185.
clc;clear;
a1 = 0.332*10^(-9);//Lattice parameter for BCC structure -[m].
a2 = 0.296*10^(-9);//Lattice parameter for HCP structure -[m].
c = 0.468*10^(-9);// -[m]
disp('BCCv is the volume of BCC unit cell');
BCCv = a1^(3);//Volume of BCC unit cell.
printf("\nThe volume of BCC unit cell is %3.3e m^-3",BCCv);
disp('HCPv is the volume of HCP unit cell');
HCPv = (6*(sqrt(3)/4)*a2^(2)*c);//Volume of HCP unit cell.
printf("\nThe volume of HCP unit cell is %3.3e m^3",HCPv);
Cv = (HCPv-BCCv);
printf("\nThe change in volume is %3.3e",Cv);
Vp = (Cv/BCCv)*100;
printf("\nThe volume change in percentage is %.1f percent",Vp);
|
7c907ea119208b6bff3148fc6d1644d434e4554a
|
8217f7986187902617ad1bf89cb789618a90dd0a
|
/browsable_source/2.5/Unix-Windows/scilab-2.5/tests/examples/xgetfile.man.tst
|
a565dec2480a32827f6700e1430d8725f10aaff4
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refs/heads/master
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| 2022-09-13T14:41:51
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UTF-8
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Scilab
| false
| false
| 102
|
tst
|
xgetfile.man.tst
|
clear;lines(0);
xgetfile()
xgetfile('*.sci','SCI/macros/xdess')
xgetfile(title='Choose a file name ')
|
5510e48f29c0d679984bd904f66ee375bb64bdfc
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/572/CH13/EX13.13/c13_13.sce
|
acc14c9c630bd6d13e73f52b079491bf898c44db
|
[] |
no_license
|
FOSSEE/Scilab-TBC-Uploads
|
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|
7bc77cb1ed33745c720952c92b3b2747c5cbf2df
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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
| 1,297
|
sce
|
c13_13.sce
|
//(13.13) Steam at 5 bar, 240C leaks from a line in a vapor power plant. Evaluate the flow exergy of the steam, in kJ/kg, relative to an environment at 25C, 1 atm in which the mole fraction of water vapor is yeH2O = 0.0303
//solution
Rbar = 8.314 //universal gas constant in SI units
Tnot = 298 //in kelvin
//With data from the steam tables
h = 2939.9 //in kj/kg
hnot = 104.9 //in kj/kg
s = 7.2307 //in kj/kg
snot = .3674 //in kj/kg
//With data from Table A-25
gbarH2Oliq = -237180
gbarH2Ogas = -228590
yeH2O = .0303
M =18 //molar mass of steam
ech = (1/M)*(gbarH2Oliq-gbarH2Ogas + Rbar*Tnot*log(1/yeH2O)) //in kj/kg
ef = h-hnot-Tnot*(s-snot) + ech //in kj/kg
printf(' the flow exergy of the steam, in kJ/k is: %f',ef)
|
ba49f22247ac9eb55c379298ed2944123a9354ed
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3819/CH1/EX1.9/Ex1_9.sce
|
8f33b7da3f15c67d2531480ca43ae22cc3ba88ab
|
[] |
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
| 691
|
sce
|
Ex1_9.sce
|
// A Textbook of Fluid Mecahnics and Hydraulic Machines - By R K Bansal
// Chapter 1-Properties of Fluid
// Problem 1.9
//Given Data Set in the Problem
Area=(60*60)/(100*100)
dy=12.5/1000
u=2.5
du=u-0
Force=98.1
ss=Force/Area
//Calculations
//1)Dynamic viscosity of Oil in poise
//Shear Stress=(Force/Area)=viscosity*Velocity gradient
Dyn_visc=ss/(du/dy)
mprintf("The Dynamic Viscosity o fthe oil is %f poise \n",Dyn_visc*10)
//2) Kinematic viscosity of th eoil in stokes in SG of Oil is 0.95
SG=0.95
density_oil=SG*1000
Kin_visc=Dyn_visc/density_oil
mprintf("The Kinematic viscosity of the oil is %f stokes",Kin_visc*10^4)
|
ff0d782060e267ac2cf00e7e895e15b1e237c962
|
244971ae8af51184d278cdc2be1c80775413adae
|
/SSSeQAMdecoder.sci
|
770ed652f95af96f70856be91256cdc4c69158a2
|
[] |
no_license
|
MSCA-SIMFREE/748767
|
5879f1f139b608c7cd2f1bd62325b281c9c1e7d1
|
4726206e514f1e47e939e73b9339c056057866db
|
refs/heads/master
| 2020-12-27T15:21:13.646362
| 2020-02-03T11:40:00
| 2020-02-03T11:40:00
| 237,951,088
| 1
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 1,521
|
sci
|
SSSeQAMdecoder.sci
|
// The code was developed under Horizon2020 Framework Programme
// Project: 748767 — SIMFREE
function [BER,BERt,d]=SSSeQAMdecoder(x,s,M)
c0=SSSeQAMcoder((0:M-1)',M);
L = length(s);
k=floor(L/M);
y=complex(zeros(k,M));
for m=1:M
t=find(s==m-1);
y(1:k,m)=x(t);
end
y=conj(y');
c=complex(mean(real(y),'c'),mean(imag(y),'c'));
P=sqrt(variance(real(c))+variance(imag(c)));
cP=c/P;
cFi=atan(imag(cP),real(cP));
xP=x/P;
xFi=atan(imag(xP),real(xP));
c0Fi=atan(imag(c0),real(c0));
dFi=mean(c0Fi-cFi);
c1=abs(cP).*exp(%i*(cFi+dFi));
x1=abs(xP).*exp(%i*(xFi+dFi));
d=zeros(L,1);
for j=1:L
[n,i]=min(abs(x1(j)-c1));
d(j)=i-1;
end
be=(s~=d);
nobe =sum(be);
b=log2(M);
BER=nobe/(L*b);
plot2d(real(x1),imag(x1),0);
plot2d(real(x1(be)),imag(x1(be)),-9);
a=gca();
poly1= a.children(1).children(1);
poly1.mark_foreground = 5;
poly1.mark_background = 0;
poly1.mark_size = 0;
plot2d(real(c1),imag(c1),-9);
a=gca();
poly1= a.children(1).children(1);
poly1.mark_foreground = 1;
poly1.mark_background = 1;
poly1.mark_size = 0;
x2=complex(zeros(L,1));
for j=1:L
x2(j)=c1(s(j)+1);
end
dn=x1-x2;
Noise=variance(real(dn))+variance(imag(dn));
Power=variance(real(x2))+variance(imag(x2));
SNR=Power/Noise;
SNRdB=10*log10(SNR);
e=erfc(sqrt(3*SNR/2/(M-1)));
BERt=2/b*(1-1/sqrt(M))*e*(1-1/2*(1-1/sqrt(M))*e);
endfunction
|
1dfa321766c9bcfe9a74b65a02d984b8362e340c
|
1bb72df9a084fe4f8c0ec39f778282eb52750801
|
/test/DT2.prev.tst
|
5cc073438e61af79955883d7c4c569b7bcd29a5c
|
[
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] |
permissive
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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
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|
tst
|
DT2.prev.tst
|
0 -1 {a=>2*a,b=>2*b,c=>2*c} a^2 + b^2 - c^2 # Pythagoras
1 0 {a=>x,b=>y,c=>z} 4*a^2 + 4*b^2 - 4*c^2
|
d93b4321840a201863286012b313696030e1d82f
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1949/CH2/EX2.28/2_28.sce
|
f223b1936b638755b50c8aaea7c55807c8850e56
|
[] |
no_license
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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
| 606
|
sce
|
2_28.sce
|
//Chapter-2,Example 2_28,Page 2-49
clc()
//Given Data:
n=1 //order
lam=5.89*10^-7 //Wavelength of light
a=0.3*10^-3 //width of slit
//Calculations:
//We know, a*sin(theta)=n*lam
theta1=asin(n*lam/a)*180/%pi*60 //angular position in first dark band in minutes
printf('Angular position in first dark band is = %.1f minutes \n \n',theta1)
//We know,for bright band a*sin(theta)=(2n+1)*lam/2
theta2=asin(1.5*lam/a)*180/%pi*60 //angular position in first bright band in minutes
printf(' Angular position in first bright band is = %.0f minutes',theta2)
|
fef452af866385caa9bab42c3674c9b9bbe07723
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2762/CH4/EX4.5.2/4_5_2.sce
|
9cb80a11fb895dfa7b72e75e9115000ec75c02f7
|
[] |
no_license
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FOSSEE/Scilab-TBC-Uploads
|
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|
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
| 1,219
|
sce
|
4_5_2.sce
|
//Transport Processes and Seperation Process Principles
//Chapter 4
//Example 4.5-2
//Principles of Steady State Heat Transfer
//given data in si units
//nomenclature of unmentioned specifications similar to previous example
Di=0.0266;
Do=0.0334;
Pr=2.72;//Prandtl Number
L=0.305;
rho=0.98*1000;//density of water
k=0.633;
mu=4.32e-4;
Tw1=80;//assumed for the first trial temp in deg C
muw1=3.56e-4;
v=2.44;//vel in m/s
Re1=Di*v*rho/mu;
k=0.663;
hl=(k*0.027*(Re1^0.8)*(Pr^(1/3))*((mu/muw1)^0.14))/Di;
mprintf("i) the convective HTC= %f W/m2 K",hl)
Ai=%pi*Di*L;
Alm=%pi*((Do+Di)/2)*L;
Ao=%pi*Do*L;
ksteel=45;
Ri=1/(hl*Ai);
Rm=((Do-Di)/2)/(ksteel*Alm);
ho=10500;
Ro=(1/(Ao*ho));
sumR=Ri+Rm+Ro;
Tdiff=107.8-65.6;
Tdrop=(Ri/sumR)*Tdiff;
Ui=1/(Ai*sumR);
mprintf(" ii) overall HTC= %f W/m2 K",Ui);
q=Ui*Ai*(Tdiff);
mprintf(" ii) heat transfer rate= %f W",q)
mprintf(" the calculations performed in the above will vary from the example as fraction exponents have been used")
//the calculations performed in the above will vary from the example as fraction exponents have been used)
//the calculations performed in the above will vary from the example as fraction exponents have been used
|
571a7e200fb0df7be10ba5c9e9bfd26c168f2e5a
|
858e87eba2421990e4bb02ee2ac7070276bc0259
|
/experiments/voltage-1-motor.sci
|
5e02dfcd7e1b63c3732d3148a1a49c503276ba7b
|
[
"LicenseRef-scancode-public-domain"
] |
permissive
|
MyFreertosLab/sdrone_test
|
c649e737128db26ee0902d2b9beca883c0ef5f2a
|
919ff6dd3e5d495102f0b16243873f3cb7b4640b
|
refs/heads/master
| 2023-06-15T05:10:19.052455
| 2021-07-16T07:10:39
| 2021-07-16T07:10:39
| 359,063,905
| 0
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Scilab
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| 376,590
|
sci
|
voltage-1-motor.sci
|
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];
|
7b34625b7257ecf9c314fa4a2be208bef9e2cd8a
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1775/CH4/EX4.13/Chapter4_Example13.sce
|
0266e409441f39a67550d52ce9ca41c659c09333
|
[] |
no_license
|
FOSSEE/Scilab-TBC-Uploads
|
948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1
|
7bc77cb1ed33745c720952c92b3b2747c5cbf2df
|
refs/heads/master
| 2020-04-09T02:43:26.499817
| 2018-02-03T05:31:52
| 2018-02-03T05:31:52
| 37,975,407
| 3
| 12
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 1,093
|
sce
|
Chapter4_Example13.sce
|
//Chapter-4, Illustration 13, Page 202
//Title: Steam Nozzles and Steam Turbines
//=============================================================================
clc
clear
//INPUT DATA
C1=1000;//Steam velocity in m/s
a1=20;//Nozzle angle in degrees
U=400;//Mean blade speed in m/s
m=0.75;//Mass flow rate of steam in kg/s
b1=33;//Blade angle at inlet from the velocity triangle in degrees
b2=b1;//Blade angle at exit from the velocity triangle in degrees
Cx=1120;//Change in whirl velocity from the velocity triangle in m/s
Ca=0;//Change in axial velocity from the velocity triangle in m/s
//CALCULATIONS
Fx=m*Cx;//Tangential force on blades in N
Fy=m*Ca;//Axial thrust in N
W=(m*Cx*U)/1000;//Diagram power in kW
ndia=((2*U*Cx)/(C1^2))*100;//Diagram efficiency
//OUTPUT
mprintf('Blade angles are %3.0f degrees,%3.0f degrees \n Tangential force on blades is %3.0f N \n Axial thrust is %3.0f \n Diagram power is %3.0f kW \n Diagram efficiency %3.1f percent',b1,b2,Fx,Fy,W,ndia)
//==============================END OF PROGRAM=================================
|
cd6d0cdbcfa924054296285810eaeb5ed6df1558
|
1573c4954e822b3538692bce853eb35e55f1bb3b
|
/DSP Functions/zpkshift/test_10.sce
|
7c3a3eb7d3e9cfdfece08a598f08564d467cf2a8
|
[] |
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
| 800
|
sce
|
test_10.sce
|
// Test #10 : For complex vector inputs
exec('./zpkshift.sci',-1);
[z,p,k,n,d]=zpkshift([6*%i,4*%i],[3.2*%i,9*%i],6,0.7,0.9);
disp(d);
disp(n);
disp(k);
disp(p);
disp(z);
//
//Scilab Output
//d=1. 0.3445765 0.
//n=0. - 0.3445765 - 1.
//k=5.
//p=-0.5735053 - 0.3124803i
// 0.2289288 + 0.4201605i
// - 0.4348387 - 0.1798945i
// 0.0902622 + 0.2181807i
//z=-0.4790985 - 0.2267726i
// 0.1345219 + 0.2842021i
// - 0.5360377 - 0.2801702i
// 0.1914611 + 0.3663144i
//
//Matlab Output
//z= -0.4791 - 0.2268i
// 0.1345 + 0.2842i
// -0.5360 - 0.2802i
// 0.1915 + 0.3663i
//p= -0.5735 - 0.3125i
// 0.2289 + 0.4202i
// -0.4348 - 0.1799i
// 0.0903 + 0.2182i
//k=5
//n= 0 -0.3446 -1.0000
//d= 1.0000 0.3446 0
|
760ae430e3f31a4d2c317d7e8e76aa8511abaf7e
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2621/CH5/EX5.1/Ex5_1.sce
|
a269b2fba91cd5193e4ebe2bd3c9f665c10b62d9
|
[] |
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
| 528
|
sce
|
Ex5_1.sce
|
// Example 5.1
clc;
clear;
close;
// Given data
format('v',6);
C= 0.01;// in µF
C=C*10^-6;// in F
R_A= 2;// in kΩ
R_A=R_A*10^3;// in Ω
R_B= 100;// in kΩ
R_B=R_B*10^3;// in Ω
T_HIGH= 0.693*(R_A+R_B)*C;//charging period in second
T_LOW= 0.693*R_B*C;// discharging period in second
T= T_HIGH+T_LOW;// overall period of oscillations in second
f= 1/T;// frequency of oscillations in Hz
D= T_HIGH/T*100;// duty cycle in %
disp(f,"The frequency of oscillations in Hz is : ")
disp(D,"Duty cycle in % is : ")
|
01a7410e4f436ed3b9089c9633c486ca83108044
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1760/CH4/EX4.22/EX4_22.sce
|
da83dcdb9debe32c35e0cc10f35d957ac6364ee9
|
[] |
no_license
|
FOSSEE/Scilab-TBC-Uploads
|
948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1
|
7bc77cb1ed33745c720952c92b3b2747c5cbf2df
|
refs/heads/master
| 2020-04-09T02:43:26.499817
| 2018-02-03T05:31:52
| 2018-02-03T05:31:52
| 37,975,407
| 3
| 12
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 189
|
sce
|
EX4_22.sce
|
//EXAMPLE 4-22 PG NO-39-240
R1=50;
R2=20;
R3=10;
V1=50;
V2=100;
V=[(V1/R1)+(V2/R2)]/[(1/50)+(1/20)+(1/10)];
disp(' Voltage is = '+string(V)+' V');
|
44fe20839c5bcad91d4708f83a8e17b6aadf8405
|
089894a36ef33cb3d0f697541716c9b6cd8dcc43
|
/NLP_Project/test/tweet/bow/bow.6_12.tst
|
59b7605ab791b112e4492129ff427eef00123ea6
|
[] |
no_license
|
mandar15/NLP_Project
|
3142cda82d49ba0ea30b580c46bdd0e0348fe3ec
|
1dcb70a199a0f7ab8c72825bfd5b8146e75b7ec2
|
refs/heads/master
| 2020-05-20T13:36:05.842840
| 2013-07-31T06:53:59
| 2013-07-31T06:53:59
| 6,534,406
| 0
| 1
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 39,754
|
tst
|
bow.6_12.tst
|
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|
28065ed5360e493d2ec6ec5433e6ffdf9791e8fe
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7c74252476ecbb33ff6b44b6360b314586cc345e
|
/essaie_Optimization1.sce
|
46c542d8f20cfebdb3b641a50a83c17e4787b0c6
|
[] |
no_license
|
Gaetan43/Scilab-Master-2-PFV
|
5d254ab060ba0096660f38ed64a0717d2a88adf5
|
cd890518af755e905f2089a8cfcc1d5a438f3492
|
refs/heads/master
| 2020-04-22T10:10:37.229172
| 2019-02-12T10:15:00
| 2019-02-12T10:15:00
| 170,296,003
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 6,004
|
sce
|
essaie_Optimization1.sce
|
clear
close
clc
//on appelle toutes les fonctions (sci) contenue sur l'ordi, plutot dans mon dossier du CC que l'on a créé !
getd("C:\Users\gaetan\Desktop\TP scilab Master 2\Contrôle Continue");
// on crée la boucle qui va chercher les fichier à traiter 1 par 1 dans C:\Users\gaetan\Desktop\TP scilab Master 2\Contrôle Continue\données CC\SPRINT_RADAR
Files = findfiles('C:\Users\gaetan\Desktop\TP scilab Master 2\Contrôle Continue\données CC\SPRINT_RADAR', "*.txt")
B = size(Files)
//on mets en place la récursivité sur tous les fichier txt du dossier
for n =1:B(:,1)
//on va cherche toutes nos donnés a traiter, soit les vitesses et temps enregistrés du fichier n
data = csvRead (Files(n,1)," ",".","double")
//on va cherche toutes les donées anthropométriques des sujets contenues dans le fichier "masse_taille.xls"
sheets= readxls("C:\Users\gaetan\Desktop\TP scilab Master 2\Contrôle Continue\données CC\masse_taille.xls");
S1=sheets(1);// pointe sur la 1er page du fichier xls
masse_taille= S1.value; // récupère les valeurs numériques
// donc les valeurs importés du fichier xls sont contenues dans la matrice de la variables "masse"
Nom_Prénom= S1.text; // extrait le nom des mecs
// on ressort nom, masse, taille du sujet que l'on traite ... a mettre en boucle de sorte que sa prennent tout seul pour la suite...!!!!!!!!
NomSujet = Nom_Prénom (n,1);
MasseSujet = masse_taille (n,2);
TailleSujet = masse_taille (n,3);
t = data(2:length(data(:,1)),1); // temps en seconde
vitessekm_h = data(2:length(data(:,1)),2); // vitesse en km/h
v =vitessekm_h/3.6;// on met vitesse en m/s
// les valeurs vers lesquelles nous souhaitons que les coeficients se rapprochent.
c0 = [8;0.1;1.3]';
// On lance la fonction de l'optimisation
[f, coef] = leastsq(list(minimisation,t,v),c0);
// fonction pour minimiser la fonction 1-Exp par rapport au data enregistré vitesse et temps. Ou f =la valeur de la somme des carrés des écarts et coef = le vecteur contenant la valeur « optimisée » des paramètres du modèle.
VitesseModélisé = yExp(t,coef);// les valeurs de de la fonction qui a été optimisé, soit on obtient les valeurs de vitesse modélisés.
subplot(1,1,1)
plot(t,VitesseModélisé,'b',t,v,'r');// courbe des valeurs de vitesses modélisées avec les coefficients trouvés via leastsq..
// on mets dans délai, Tau et Vmax leur valeur trouvé lors de l'optimisation.
délai = coef (1,2);
Tau = coef(1,3);
Vmax = coef (1,1);
Time = t - délai;
distance = Vmax*((Time)+Tau*exp(-(Time/Tau)))-Vmax*Tau ;
//plot(t,distance)
SampleF = 46.875 ;
// on ajoute nos valeur pour tous ceux qui est Force de resistance à l'air
Pb = 760;
T° = 20;
Cd = 0.9;
Af = (0.2025*TailleSujet^0.725*MasseSujet^0.425)*0.266;
rho = 1.293*Pb/760*273/(273+T°);
K = 0.5*rho*Af*Cd ;
Vent = 0 ;
// calcul accélération réel
for i = 1:length(v)-1;
Acc_H (i) = ((v(i+1,1)-v(i,1))/(t(i+1,1)-t(i,1)));
end
// calcul accélération modélisé
Acc_H_Mod = (Vmax/Tau)*exp(-((t-délai)/Tau));
// calcule force horizontale à partir Acc_H_Mod
F_Hor = MasseSujet*Acc_H_Mod+K*(VitesseModélisé-Vent)^2;
// force normalisé au poids du sujet.
F_Hor_Poids = F_Hor/MasseSujet;
// Calcule de la puissance avec P = V_Mod*F
Puissance = VitesseModélisé .* F_Hor_Poids;
//calcul V0 (m/s), F0 (N), Sfv, R²
[polyFunction] = polyfitT(VitesseModélisé,F_Hor,1);
subplot(2,1,2)
plot(VitesseModélisé,F_Hor,'r-');
F0 = polyFunction(1,1);
Sfv = polyFunction(2,1);
V0 = -F0/polyFunction(2,1);
// calcul de la Force total en N
Ftot = sqrt((F_Hor)^2+(MasseSujet*9.81)^2);
// calcul de RF, et cela lorsque le temps (t)>= 0.3s
Find_t = find(t>=0.3);
Début_RF = Find_t (1,1);
RF = (F_Hor(Début_RF:length(Ftot),:)./Ftot(Début_RF:length(Ftot),:));
// calcul RF sur 10m et moyenne
Find_10m = find (distance <= 10);
RF_10m = RF(1:length(Find_10m),1)
Mean_RF_10m = mean(RF_10m)
//calcul de la relation puissance-vitesse
Relation_Pui_V = polyfitT(VitesseModélisé,Puissance,2)
subplot(3,1,2)
plot(VitesseModélisé,Puissance,'b')
//calcul Pmax_Théorique
Vopt = -Relation_Pui_V(2,1)/(2*Relation_Pui_V(3,1))
Pmax_Théorique = Relation_Pui_V(3,1)* (Vopt)^2+Relation_Pui_V(2,1)*Vopt+Relation_Pui_V(1,1)
//calcul Puissance_Modélisé
Puissance_Modélisé = Relation_Pui_V(3,1)*(VitesseModélisé)^2+Relation_Pui_V(2,1)*VitesseModélisé + Relation_Pui_V(1,1)
//calcul DRF:
[DRFpente] = polyfitT(VitesseModélisé(Début_RF:length(Ftot)),RF,1);
DRF = DRFpente (2,1)*100;
// temps à 5m
Find_Time_5m = find(distance<=5);
Time_5m = t(length (Find_Time_5m),1);
// temps à 10m
Find_Time_10m = find(distance<=10);
Time_10m = t(length (Find_Time_10m),1);
// temps à 20m
Find_Time_20m = find(distance<=20);
Time_20m = t(length (Find_Time_20m),1);
// temps à 30m
Find_Time_30m = find(distance<=30);
Time_30m = t(length (Find_Time_30m),1);
// temps à 40m
Find_Time_40m = find(distance<=40);
Time_40m = t(length (Find_Time_40m),1);
//distance en 2s
Find_Distance_2s = find(t<=2);
Distance_2s = distance(length(Find_Distance_2s),1);
//distance en 4s
Find_Distance_4s = find(t<=4);
Distance_4s = distance(length(Find_Distance_4s),1);
//top speed
VitesseMax = max(VitesseModélisé)
//Acceleration time constant
Acc_Constant = Tau
// calcule accéleration moyenne, et tous les valeur que l'on veut pour feuille bilan
acc_M = mean(Acc_H_Mod);
F0_N_kg = F0/MasseSujet ;
Pmax_Hor = max(Puissance) ;
Pmax = Pmax_Hor*MasseSujet ;
RF_Peak = max(RF)
//data ou on aura toute les valeurs pour recréer le fichier txt.
DATA_FINAL(n,:) = [MasseSujet, V0, F0, F0_N_kg, Pmax, Pmax_Hor, Sfv, Mean_RF_10m, RF_Peak, DRF, Time_5m, Time_10m, Time_20m, Time_30m, Time_40m, Distance_2s, Distance_4s, VitesseMax, Acc_Constant]
end
csvWrite(DATA_FINAL,"C:\Users\gaetan\Desktop\DATAFINALCC.txt"," ",".")
|
4a9c6cea38a61a2c1d973933c856a14ad635c4d6
|
126a5d28bbfc3431d8dd3555bcbae3d74deec2a8
|
/Scilab_code_Results_validation.sci
|
e57c03e222f816adabd678cf723c449ffc9b2875
|
[
"MIT"
] |
permissive
|
fmairet/Temperature_Allocation
|
40746b86d79f8399fe6b31579da71ad53372e3a4
|
85a5265efce3ff8b68c5fa17a3967c6c2663777b
|
refs/heads/main
| 2023-01-11T01:58:44.464245
| 2020-11-09T10:21:37
| 2020-11-09T10:21:37
| 311,297,391
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 4,039
|
sci
|
Scilab_code_Results_validation.sci
|
// Optimal proteome allocation and the temperature dependence of microbial growth laws
// Francis Mairet,Jean-Luc Gouzé, Hidde de Jong
// npj Systems Biology and Applications
//
// SI: Scilab code for Figure 3 (validation)
xdel(winsid())
clear
////////////////////// Parameters //////////////
R=8.314;
Tref=310;
rq= 0.138;
q=0.46;
K=0.003;
// param=[ k_Rref (k_f/k_u)ref E_R d E_u E_f ]
param=[ 8.42057 356.8579 41921 -0.0944764 575311 488858 ];
k_Mref= 1.54389974;
k_Mref_rich= 9.98920676;
///////// Experimental data (Herendeen et al., 1979; Pedersen et al., 1978)////////
// Effect of temperature
T_t=273.15+[13.5 15 23 30 37 42 46];
r_t=[0.73 0.78 0.97 1 1 0.97 0.46];
mu_t=[0.15 0.19 0.58 1.17 1.77 1.84 0.97];
c_t=[0.94 0.85 0.61 0.76 1 1.65 7.22];
// Effect of substrate
mu_s=[0.38 0.77 1.01 1.5 1.98];
r_s=[.58 .84 1 1.33 1.74]; // S1
c_s=[0.94 1 1 1.18 1.22]
//////// Function to compute the optimal allocation (Eq. (6)) ///////////////
function [p,r,m,c,mu]=allocation(TT,pa,kMref_g)
kR=pa(1)* exp(-pa(3)/R*(1/TT-1/Tref));;
kM_g=kMref_g* exp(-pa(3)/R*(1/TT-1/Tref));
kf_ku= pa(2) * exp(-pa(6)/R*(1/TT-1/Tref)) / ( (1-pa(4)*pa(5)/R*(1./TT-1/Tref))^(1/pa(4)) );
p=(kM_g*K/kR)^0.5;
c=1/kf_ku * (-1 + ( 1 + (1-q)*kf_ku)^0.5 );
r=(1-q-c)* p*(K+p)/(K+2*K*p+p^2);
m=1-q-r-c;
mu=kR*p/(K+p)*r* c/ (1/kf_ku + c);
endfunction
/////// Computation of resource allocation in the different cases //////////
// Effect of temperature
T=290:0.1:320;
popt=[];ropt=[];mopt=[];muopt=[];copt=[];
for i=1:length(T)
[popt(i),ropt(i),mopt(i),copt(i),muopt(i)]=allocation(T(i),param,k_Mref_rich);
end
// Effect of substrate limitation
g=0.05:0.01:1;
popt2=[];ropt2=[];mopt2=[];muopt2=[];copt2=[];
for i=1:length(g)
[popt2(i),ropt2(i),mopt2(i),copt2(i),muopt2(i)]=allocation(Tref,param,g(i)*k_Mref_rich);
end
///////////// Figures /////////////////////////////////////
// Colorbar
Tmin=min(min(T),min(T_t));
Tmax=max(max(T),max(T_t));
TN=(T-Tmin)/(Tmax-Tmin);
cmap=jetcolormap(64);
// Ribosomal protein content
scf(1)
subplot(221)
for j=1:length(T)
plot(muopt(j),(ropt(j)+rq)*100,'.','MarkerSize',7,'Color',cmap(1+floor(63*TN(j)),: ))
end
a=gca();
a.zoom_box=[0,15,2.4,42];
ylabel('Optimal mass fraction r (%)')
title("Effect of temperature",'fontsize',2)
subplot(222)
for j=1:length(muopt2)
plot(muopt2(j),(ropt2(j)+rq)*100,'.','MarkerSize',7,'Color',cmap(1+floor(63*TN(find(T>Tref,1))),:))
end
a=gca();
a.zoom_box=[0,15,2.4,42];
title("Effect of substrate limitation",'fontsize',2)
subplot(223)
for j=1:length(mu_t)
plot(mu_t(j),r_t(j),'.','MarkerSize',7,'Color',cmap(1+floor(63*(T_t(j)-Tmin)/(Tmax-Tmin)),:))
end
a=gca();
a.zoom_box=[0,0.2,2.4,1.1];
xlabel('Specific growth rate (/h)')
ylabel('Ribosomal protein S1 (relative level)')
subplot(224)
for j=1:length(mu_s)
plot(mu_s(j),r_s(j)/r_s(length(mu_s)),'.','MarkerSize',7,'Color',cmap(1+floor(63*(Tref-Tmin)/(Tmax-Tmin)),:))
end
a=gca();
a.zoom_box=[0,0.2,2.4,1.1];
xlabel('Specific growth rate (/h)')
// Chaperone content
scf(2)
subplot(221)
for j=1:length(T)
plot(muopt(j),100*copt(j),'.','MarkerSize',7,'Color',cmap(1+floor(63*TN(j)),:))
end
a=gca();
a.zoom_box=[0,0,2.4,25];
ylabel('Optimal mass fraction c (%)')
title("Effect of temperature",'fontsize',2)
subplot(222)
for j=1:length(muopt2)
plot(muopt2(j),100*copt2(j),'.','MarkerSize',7,'Color',cmap(1+floor(63*TN(find(T>Tref,1))),:))
end
a=gca();
a.zoom_box=[0,0,2.4,25];
title("Effect of substrate limitation",'fontsize',2)
subplot(223)
for j=1:length(mu_t)
plot(mu_t(j),c_t(j),'.','MarkerSize',7,'Color',cmap(1+floor(63*(T_t(j)-Tmin)/(Tmax-Tmin)),:))
end
a=gca();
a.zoom_box=[0,0,2.4,8];
xlabel('Specific growth rate (/h)')
ylabel('Chaperone groEL (relative level) ')
subplot(224)
for j=1:length(mu_s)
plot(mu_s(j),c_s(j)/c_s(length(mu_s)),'.','MarkerSize',7,'Color',cmap(1+floor(63*(Tref-Tmin)/(Tmax-Tmin)),:))
end
a=gca();
a.zoom_box=[0,0,2.4,8];
xlabel('Specific growth rate (/h)')
|
b396759571aa9e539770d6ef3a7304c99a6d7109
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/3764/CH3/EX3.9/Ex3_9.sce
|
061d048aeee10802a422fd6bafabf40b90a72ba4
|
[] |
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
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Scilab
| false
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|
sce
|
Ex3_9.sce
|
clc
//
//Bar with Square Cross Section
//Variable declaration
tALL=40 // Stress(MPa)
//Calculation
// Bar with square cross section
a=0.040 // Length(m)
b=0.040 // Length(m)
temp=(a/b)
c1=0.208 // Coefficient
tmax=tALL // Maximum stress(MPa)
T1=(40)*((10**6))*(0.208)*((0.040**3)) // Torque(N.m)
// Bar with Rectangular Cross Section.
a=0.064 // Length(m)
b=0.025 // Length(m)
temp2=(a/b)
T2=(40)*((10**6))*(0.259)*(0.064)*((0.025**2)) // Torque(N.m)
//Square Tube
A=(0.034)*(0.034) // Area bounded by the center line of the cross section(m**2)
T3=((40)*((10**6))*(2)*(0.006)*(1.156)*((10**-3))**0) // Torque(N.m)
// Result
printf("\n Largest torque on bar with square cross section = %1f N.m' ,T1)
printf("\n Largest torque on bar with rectangular cross section = %1f N.m' ,T2)
printf("\n Largest torque on square tube = %1f N.m' ,T3)
|
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/Área 1/Aula 6/Avaliativo4.sce
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| 2023-05-10T22:39:02.550321
| 2021-05-11T17:17:09
| 2021-05-11T17:17:09
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|
Avaliativo4.sce
|
x=[3141592, 1414213]
y = [%pi,sqrt(2)] * 10^6
disp(norm(x-y,2))
|
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| 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
| 785
|
sce
|
Ch01Ex30.sce
|
// Scilab Code Ex1.30:: Page-1.33 (2009)
clc; clear;
h = 6.6e-034; // Planck's constant, Js
e = 1.6e-019; // Energy equivalent of 1 eV, J/eV
c = 3e+08; // Speed of light, m/s
v = 3e+07; // Velocity of the electron, m/s
m0 = 9.1e-031; // Rest mass of electron, kg
m = m0/sqrt(1-v^2/c^2); // Mass of moving electron, kg
delta_p_max = m*v; // Maximum uncertainty in momentum of the particle, m/s
// delta_x_min*delta_p_max = h/(4*%pi), solving for delta_x_min
delta_x_min = h/(4*%pi*delta_p_max); // Minimum position uncertainty of particle, m
printf("\nThe smallest possible uncertainty in position of the electron = %5.3f angstrom", delta_x_min/1e-010);
// Result
// The smallest possible uncertainty in position of the electron = 0.019 angstrom
|
09020b0119f39c76ef111d9e16d252369b27cdb9
|
59ea89f1162f8048d9f7f10f6e6a3a1567c56607
|
/expe/pat/Prog/PrepAtt_SeuilAuditif_Jo.sce
|
e25f8c725912d1ac59879e20afcc254744668e8f
|
[] |
no_license
|
elshafeh/own
|
a9b8199efb3511aa1b30b53755be9337d572b116
|
ef3c4e1a444b1231e3357c4b25b0ba1ba85267d6
|
refs/heads/master
| 2023-09-03T01:23:35.888318
| 2021-11-03T09:56:33
| 2021-11-03T09:56:33
| 314,668,569
| 1
| 1
| null | null | null | null |
ISO-8859-1
|
Scilab
| false
| false
| 2,292
|
sce
|
PrepAtt_SeuilAuditif_Jo.sce
|
# Audiometry.sce: Audiometry Utilities (Discrimination) #
# header
scenario = "SeuilAuditif";
pcl_file = "Audiometry.pcl";
active_buttons = 1; #*
button_codes = 1; #*
# sound hardware settings
channels = 2; # stereo
bits_per_sample = 16;
sampling_rate = 44100; # sample rate (Hz)
#parametres ecran
default_font_size = 30 ;
default_font = "Arial";
default_text_color = 0, 200, 200; #turquoise
#screen_width = 1024;
#screen_height = 768;
#screen_bit_depth = 32;
# load stimuli
begin;
picture {} default;
# load in array of target sounds
array {
sound { wavefile { filename = "tar_1_low.wav"; }; description = "L_tarson"; };
sound { wavefile { filename = "tar_1_high.wav"; }; description = "H_tarson"; };
} sounds;
# -- Threshold_Test_Bekesy stimuli -- #
$TRIAL_DURATION_TTB = 1000; # length of sound trial
# New Test Screen
trial {
trial_duration = $TRIAL_DURATION_TTB;
picture {
text {
caption = " ";
system_memory = true;
} newtestText_ttb;
x = 0; y = 0;
};
} newtest_ttb;
# Prompt For Button Press When Sound Disappears
picture {
text {
caption = "Tirez le joystick vers vous
dès que
vous n'entendez plus le son";
font_color = 255,0,0;
font_size = 60;
system_memory = true;
};
x = 0; y = 0;
} buttonMsg1_ttb;
# Prompt For Button Press When Sound Re-appears
picture {
text {
caption = "Tirez le joystick vers vous
dès que
vous entendez le son
à nouveau";
font_color = 0,255,0;
font_size = 60;
system_memory = true;
};
x = 0; y = 0;
} buttonMsg2_ttb;
# Sound Trial
trial {
trial_duration = $TRIAL_DURATION_TTB;
stimulus_event {
picture buttonMsg1_ttb;
time = 0;
} picstim_ttb;
stimulus_event {
nothing {};
time = 0;
code = "sound";
} audstim_ttb;
} audtrial_ttb;
#-------------------------------------------------------------------------------
# Toggle Example/New stimuli
#-------------------------------------------------------------------------------
# input screen
trial {
trial_duration = 100;
picture {
text {
caption = " ";
system_memory = true;
} enterText_sub;
x = 0; y = 0;
};
} enterTrial_sub;
|
8978deb6298359d23d068ad4c3bf3745e7c34008
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/2510/CH22/EX22.7/Ex22_7.sce
|
ca5c03fc014f61c58bd2c826a7b6c04853964a0a
|
[] |
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
| 1,168
|
sce
|
Ex22_7.sce
|
//Variable declaration:
//From table 22.1:
QH1 = 12*10**6 //Heat duty for process unit 1 (Btu/h)
QH2 = 6*10**6 //Heat duty for process unit 2 (Btu/h)
QH3 = 23.5*10**6 //Heat duty for process unit 3 (Btu/h)
QH4 = 17*10**6 //Heat duty for process unit 4 (Btu/h)
QH5 = 31*10**6 //Heat duty for process unit 5 (Btu/h)
T1 = 90 //Supply water temperature ( F)
T2 = 115 //Return water temperature ( F)
cP = 1 //Cooling water heat capacity (Btu/(lb. F))
p = 62*0.1337 //Density of water (lb/gal)
BDR = 5/100 //Blow-down rate
//Calculation:
QHL = (QH1+QH2+QH3+QH4+QH5)/60 //Heat load (Btu/min)
DT = T2-T1 //Change in temperature ( F)
qCW = round(QHL*10**-5)/10**-5/(DT*cP*p) //Required cooling water flowrate (gpm)
qBD = BDR*qCW //Blow-down flow (gpm)
qCW = round(qCW*10**-1)/10**-1
//Result:
printf("The total flowrate of cooling water required for the services is : %f gpm.",qCW)
printf("The required blow-down flow is : %.0f gpm.",qBD)
|
9d198c78c39aee58947f808dd5accd967facde19
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/1760/CH2/EX2.83/EX2_83.sce
|
a8651b2ac1079e1076ee6d85f6771e661b954133
|
[] |
no_license
|
FOSSEE/Scilab-TBC-Uploads
|
948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1
|
7bc77cb1ed33745c720952c92b3b2747c5cbf2df
|
refs/heads/master
| 2020-04-09T02:43:26.499817
| 2018-02-03T05:31:52
| 2018-02-03T05:31:52
| 37,975,407
| 3
| 12
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 645
|
sce
|
EX2_83.sce
|
//EXAMPLE 2-83 PG NO-117-118
V=125+%i*0;
I1=5+%i*0;
I2=1.2+%i*1.964;
Z2=V/I2;
disp('iv) IMPEDANCE (Z2) is in polar form = '+string (Z2) +' ohm ');
R=28.26;
XC=46.43;
F=50;
C=1/[2*%pi*F*XC];
disp('iv) CAPACITOR (C) is in polar form = '+string (C) +' F ');
I=I1+I2;
disp('iv) CURRENT (I) is in polar form = '+string (I) +' A ');
S=V*I;
disp('i) Apparent Power (S) is in polar form = '+string (S) +' VA ');
P=S*0.953;
disp('i) Active Power (P) is in polar form = '+string (P) +' W ');
Q=S*0.302;
disp('i) Reactive Power (Q) is in polar form = '+string (Q) +' Var ');
|
76dee76ae348a4e9bf7bf0074f7e640d22cba662
|
b198c5fb5f24c67daa80a383a5a0dadf46603c86
|
/BrunoReinoso_Rosenbrock.sce
|
90ac255276225b72b701e7ad6f869324dc4d721b
|
[] |
no_license
|
Breinoso2006/Otimizacao
|
014ca6926b0da7bfa95cf044ad99368257b4426c
|
a1e845aa6fd1946d895a6861648284cc2accae94
|
refs/heads/main
| 2023-05-06T13:20:04.444010
| 2021-05-26T18:45:35
| 2021-05-26T18:45:35
| 371,136,003
| 0
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 2,510
|
sce
|
BrunoReinoso_Rosenbrock.sce
|
clc;
clear;
clearglobal;
//Criação da função dada
function a = f(p)
global d;
a = (p(1)-2)^4 + (p(1) - 2*p(2))^2;
endfunction
//Função lambda
function z = fLambda(a, j)
global d;
z = f([p(1) + (a*d(j, 1)), p(2) + (a*d(j, 2))]);
endfunction
//Cálculo de Newton
function newton(j)
global lambdas;
global d;
for (i = 1:10) //faz 10 iteracoes
lambdas(j) = lambdas(j) - (derivada(j)/derivada2(j));
end
endfunction
//Derivada Primeira
function y=derivada(j)
global lambdas;
global d;
tolerancia=0.001;
y=(fLambda(lambdas(j)+tolerancia, j)-fLambda(lambdas(j), j))/tolerancia;
endfunction
//Derivada Segunda
function y=derivada2(j)
global d;
global lambdas;
tolerancia=0.001;
y = (fLambda(lambdas(j)+tolerancia, j)-2*fLambda(lambdas(j), j)+fLambda(lambdas(j)-tolerancia, j))/tolerancia^2;
endfunction
//Rosenbrock
function resultado=rosenbrock()
global p;
global d;
global lambdas;
a = [0,0];
b = [0,0];
for(k = 1:iteracoes)
//Método Gram Schimidt
if(k>1) then
for (j=1:2)
if(lambdas(j)== 0) then
a(1) = d(j,1);
a(2) = d(j,2);
else
for (i=j:2)
a(1) = a(1) + lambdas(i)*d(i,1);
a(2) = a(2) + lambdas(i)*d(i,2);
end
end
//Encontrando b
if(j==1) then
b = a;
else
b(1) = a(1) - ( a(1)*d(1,1) )*d(1,1);
b(2) = a(2) - ( a(2)*d(1,2) )*d(1,2);
end
//Calculando direção
moduloB = (b(1)^2 + b(2)^2)^0.5;
d(j,1) = (1/moduloB)*b(1);
d(j,2) = (1/moduloB)*b(2);
newton(j);
p(1) = (p(1) + lambdas(j) * d(j,1));
p(2) = (p(2) + lambdas(j) * d(j,2));
end
else
for (j = 1:2)
newton(j);
p(1) = (p(1) + lambdas(j) * d(j,1));
p(2) = (p(2) + lambdas(j) * d(j,2));
end
end
end
resultado = p;
endfunction
//Variáveis "globais" utilizadas
global d;
d = [1, 0; 0, 1];
global p;
p = [0, 3];
global lambdas;
lambdas = [0,1];
global iteracoes;
iteracoes = 1000
//Display
disp('A resposta será ', rosenbrock());
|
2ad85844375f18d3fbd8c0d8c74d550500cbace3
|
449d555969bfd7befe906877abab098c6e63a0e8
|
/149/CH35/EX35.6/ex6.sce
|
ee3d4be43ff488e789734d0361eb69def13ff578
|
[] |
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
| 228
|
sce
|
ex6.sce
|
clear
clc
disp('m and n represents mean and number of objects in sample respectively')
m=3.4
n=900
M=3.25
d=1.61
disp('z=(m-M)/(d/(n^0.5)')
z=(m-M)/(d/(n^0.5))
disp('as z>1.96,it cannot be regarded as a random sample ")
|
3cd95a35f448a9c86974d10db10342bc9574c99a
|
573df9bfca39973c9bf2fa36f6e5af2643d7771e
|
/scilab/interpolação/problema_poli_newton.sce
|
87b616688772171a1ecf242d7b015bfad867976e
|
[] |
no_license
|
DCC-CN/152cn
|
ef92c691edabe211b1a552dbb963f9fd9ceec94a
|
4fe0b02f961f37935a1335b5eac22d81400fa609
|
refs/heads/master
| 2016-08-13T01:34:17.966430
| 2015-04-07T07:31:58
| 2015-04-07T07:31:58
| 44,502,526
| 1
| 0
| null | null | null | null |
UTF-8
|
Scilab
| false
| false
| 2,383
|
sce
|
problema_poli_newton.sce
|
//
//
//
clear;
clc;
getd('../lib');
function print_vect (name, v)
mprintf("%s = [", name);
mprintf("%8.6f", v(1));
for i = 2:size(v, '*')
mprintf(" %8.6f", v(i));
end
mprintf("]\n");
endfunction
function interpolar(x, y, z, exact_fz)
P = poly_Newton(x, y, %T);
Pz = horner(P, z);
Pz_erro = abs(Pz - exact_fz);
n = size(x, '*') - 1;
mprintf("\nInterpolação com polinômio de grau %d = %8.6f (erro %8.6f)\n",...
n, Pz, Pz_erro);
mprintf("--------------------------------------------------------------\n");
endfunction
funcao = "log(x)";
deff("y = f(x)", "y = "+funcao);
z = 8;
exact_fz = f(z);
// amostra inicial
x = [1 2 3 5 9 10 12];
y = feval(x, f);
mprintf("\nAmostra :\n")
print_vect('x', x);
print_vect('y', y);
mprintf("Função original que relaciona os pontos da tabela (amostra) = %s\n", funcao);
mprintf("Ponto a ser definido na interpolação z = %g\n", z)
interpolar(x, y, z, exact_fz);
x = [2 3 5 9 10 12];
y = feval(x, f);
interpolar(x, y, z, exact_fz);
x = [3 5 9 10 12];
y = feval(x, f);
interpolar(x, y, z, exact_fz);
x = [5 9 10 12];
y = feval(x, f);
interpolar(x, y, z, exact_fz);
x = [5 9 10];
y = feval(x, f);
interpolar(x, y, z, exact_fz);
x = [5 9];
y = feval(x, f);
interpolar(x, y, z, exact_fz);
// Erro de truncamento para polinômio interpolador de grau 1,
// entre os pontos 5 e 9 da abscissa.
// Escolhendo o valor de "e" que representa o maior erro no intervalo [a,b],
// ou seja, max(|f''(x)|) sendo a <= x <= b.
// O código a seguir adota uma busca com precisão de mil pontos no intervalo.
// PS. No caso, essa busca poderia ser feita apenas com os dois pontos
// dos limites do intervalo (5 e 9),
// pois a derivada é sempre crescente no intervalo [5 9].
// O código é um exemplo de uma possível solução geral (mesmo que imprecisa).
// O importante é sempre considerar que o maior erro possível no intervalo
// pode não ser nos extremos, pode ser qualquer valor entre eles,
// depende da derivada n+1.
//
grau = 1;
derivada = "-x^(-2)";
deff("y = d2f(x)", "y = " + derivada);
busca_x = linspace(5,9,1000);
busca_y = feval(busca_x, d2f);
max_d2f = busca_y(1);
for i = [1:1000]
if abs(busca_y(i)) > abs(max_d2f)
max_d2f = busca_y(i);
end
end
T2 = max_d2f/factorial(grau+1) * prod(z - x);
mprintf("Erro de truncamento T2(x) = %12.8f\n", T2);
|
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