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34c1f7dfcf7203981ac54f09766e39ecbef7c203 | 449d555969bfd7befe906877abab098c6e63a0e8 | /62/CH6/EX6.55/ex_6_55.sce | cd88ff4968b294652ccca049f1e09990ef1e3381 | [] | 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 | 95 | sce | ex_6_55.sce | x=[0 1 2 3];
X=dft(x,-1);
disp(X,"DFT is X(k)=")
x=dft(X,1);
disp(round(x),"IDFT is x[n]=") |
e4d822410e066aa975efd16d65d068c8135d6e15 | 8217f7986187902617ad1bf89cb789618a90dd0a | /source/2.0/tests/test1.tst | fd7a5ac1e467776d5b29a60b1641be530b6dd2ec | [
"MIT",
"LicenseRef-scancode-public-domain",
"LicenseRef-scancode-warranty-disclaimer"
] | permissive | clg55/Scilab-Workbench | 4ebc01d2daea5026ad07fbfc53e16d4b29179502 | 9f8fd29c7f2a98100fa9aed8b58f6768d24a1875 | refs/heads/master | 2023-05-31T04:06:22.931111 | 2022-09-13T14:41:51 | 2022-09-13T14:41:51 | 258,270,193 | 0 | 1 | null | null | null | null | UTF-8 | Scilab | false | false | 501 | tst | test1.tst | mode(-1)
a=[1 2 3 4 5]
if a([%f %t])<>2 then pause,end
a([%f %t])=-1;if a<>[1 -1 3 4 5] then pause,end
a=[1 2;3 4]
if a([%f %t],[%t %f])<>3 then pause,end
s=poly(0,'s')
a=[1 2 3 4 5]*s
if a([%f %t])<>2*s then pause,end
a([%f %t])=-s;if a<>[1 -1 3 4 5]*s then pause,end
a=[1 2;3 4]*s
if a([%f %t],[%t %f])<>3*s then pause,end
a=string([1 2 3 4 5])
if a([%f %t])<>'2' then pause,end
a([%f %t])='-1';if a<>string([1 -1 3 4 5]) then pause,end
a=string([1 2;3 4])
if a([%f %t],[%t %f])<>'3' then pause,end
|
d217460de8040f9ff89d0b23c6172334bba47e43 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2048/DEPENDENCIES/pp_im2.sci | 61ba58d1bcba7c33391faf9484cb558105912231 | [] | 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 | 902 | sci | pp_im2.sci | // Pole placement controller without intra sample oscillations, as discussed in Sec. 9.5.
// 9.13
// function [Rc,Sc,Tc,gamma,phit] = pp_im2(B,A,k,phi,Delta,a)
// 2-DOF PP controller with internal model of Delta and without
// hidden oscillations
function [Rc,Sc,Tc,gamm,phit] = pp_im2(B,A,k,phi,Delta,a)
if argn(2) == 5, a = 1; end
dphi = length(phi)-1;
// Setting up and solving Aryabhatta identity
[Ag,Ab] = polsplit3(A,a); dAb = length(Ab) - 1;
[Bg,Bb] = polsplit3(B,a); dBb = length(Bb) - 1;
[zk,dzk] = zpowk(k);
[N,dN] = polmul(Bb,dBb,zk,dzk);
dDelta = length(Delta)-1;
[D,dD] = polmul(Ab,dAb,Delta,dDelta);
[S1,dS1,R1,dR1] = xdync(N,dN,D,dD,phi,dphi);
// Determination of control law
Rc = convol(Bg,convol(R1,Delta)); Sc = convol(Ag,S1);
Tc = Ag; gamm = sum(phi)/sum(Bb);
// Total characteristic polynomial
phit = convol(phi,convol(Ag,Bg));
endfunction;
|
f4c61f75ca9fcb916f449f856bbc0d74b1666760 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1892/CH2/EX2.5/Example2_5.sce | bcdc3fe20a1e19486a0543146156537717f81127 | [] | 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 | 668 | sce | Example2_5.sce | // Example 2.5
clear; clc; close;
format('v',7);
// Given data
V1=230;//in volt
f=50;//in Hz
Vm=100;//in volt
Im=2;//in Ampere
Wm=40;//in watts
Va=80;//in volt
Ia=1;//in Ampere
Wa=50;//in watts
//Calculations
Z1em=Vm/Im;//in ohm
R1em=Wm/Im^2;//in ohm
X1em=sqrt(Z1em^2-R1em^2);//in ohm
R1m=R1em/2;//in ohm
X1m=X1em/2;//in ohm
fi_m=atand(X1m/R1m);//in degree
Z1ea=Va/Ia;//in ohm
R1ea=Wa/Ia^2;//in ohm
X1ea=sqrt(Z1ea^2-R1ea^2);//in ohm
Ra=R1ea-R1m;//in ohm
Xa=X1ea-X1m;//in ohm
fi_a=90-fi_m;//in degree
//after connecting capacitor
Xc=Xa-tand(-fi_a)*Ra
C=1/2/%pi/f/Xc;//in Farad
disp(C*10^6,"Value of capacitance in micro farad : ");
|
57fc12cd5182840546e73f0e61b15d9150105cea | a0bbf9631a1425e31175358d03a5bd109e13f477 | /sem1/src/lab5/scilab/lab5_script.sce | 5b5d6ddd03e9b3cbc399c209e4e75b917d779f2f | [] | no_license | AlexKaravaev/courses | 0f5aa8da155706a23adb831ac52e44c160029e33 | 93273510e34985e02b8d348515ebcabe7f4c105f | refs/heads/master | 2020-03-21T17:48:17.352827 | 2018-07-31T14:17:52 | 2018-07-31T14:17:52 | 138,854,938 | 3 | 3 | null | 2018-07-24T13:42:45 | 2018-06-27T08:49:58 | TeX | UTF-8 | Scilab | false | false | 211 | sce | lab5_script.sce | data = read('D:\IFMO_COURSE\lab_5\0_-1.txt',-1,3)
x = data(:,1)
y = data(:,2)
//importXcosDiagram("D:\IFMO_COURSE\lab_5\Diff-car_test.zcos");
//xcos_simulate(scs_m, 4);
plot2d(x,y,3)
plot2d(X.values,Y.values,5)
|
312d19d3fa3907d76a06e8bf839872b8cdc37c9b | 1bb72df9a084fe4f8c0ec39f778282eb52750801 | /test/BV5.prev.tst | 393559f2533e25598fbe15dcecc256e4cf4ce669 | [
"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 | 49 | tst | BV5.prev.tst | [1,2,-5] * -2 = [-2,-4,10], original = [1,2,-5]
|
8927791f8afdad6e9b31603271a6a3e30a1cc950 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3681/CH9/EX9.9/Ex9_9.sce | 1a58ea40fbcae2699b32ec803c876581543bced5 | [] | 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 | 1,580 | sce | Ex9_9.sce | // Calculating the number of extra shunt field turns to neutralize the demagnetization
clc;
disp('Example 9.9, Page No. = 9.38')
// Given Data
p = 4;// Number of poles
Is = 140;// Current supplied by generator (in ampere)
Z = 480;// Number of armature conductors
mech_degree = 10;// Since brushes are given an actual lead of 10 degree
// Calculation of the extra shunt field turns to neutralize the demagnetization
Ia = Is+10;// Armature current (A). Since field winding is shunt connected and takes a current of 10 ampere
alpha = p/2*mech_degree;// Angle of lead (in electrical degree)
disp('(a) Wave connected')
a= 2 // With wave winding number of parallel paths
ATa = Ia*Z/(a*2*p);// Armature mmf per pole (A)
ATad = ATa*2*alpha/180;;// Demagnetizing mmf per pole (A)
ATaq = ATa-ATad;// Cross magnetizing mmf per pole (A)
Extra_turns = ATad/10;// Extra turns required on the shunt field. Since field winding is shunt connected and takes a current of 10 ampere
disp(Extra_turns,'Extra turns required on the shunt field =');
disp('(b) Lap connected')
a= p // With lap winding number of parallel paths
ATa = Ia*Z/(a*2*p);// Armature mmf per pole (A)
ATad = ATa*2*alpha/180;;// Demagnetizing mmf per pole (A)
ATaq = ATa-ATad;// Cross magnetizing mmf per pole (A)
Extra_turns = ATad/10;// Extra turns required on the shunt field. Since field winding is shunt connected and takes a current of 10 ampere
disp(Extra_turns,'Extra turns required on the shunt field =');
//in book answers are 100 and 50 respectively. The answers vary due to round off error
|
b48db4faf8c6bb8519aed3500f8d5ac69fc2bc60 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2360/CH3/EX3.30/ex3_30.sce | b0dee62707aae0fc8c5112e998cba1791581655e | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 414 | sce | ex3_30.sce | // Exa 3.30
format('v',7);clc;clear;close;
// Given data
std_cell_emf = 1.45;//e.m.f. of standard cell in V
l = 50;//length in cm
Vdrop = std_cell_emf /l;//voltage drop per unit length in V/cm
Vstdresistor = Vdrop*75;//voltage across standard resistor in V
Stdresistor = 0.1;//standard resistor in ohm
I = Vstdresistor/Stdresistor;//magnitude of current in A
disp(I,"The magnitude of current in A is");
|
736f10a928c862eadae1ba40e763408da4819757 | 8217f7986187902617ad1bf89cb789618a90dd0a | /source/2.4.1/macros/m2sci/sci_gener.sci | 3b5fff8d9011ac146d165b710778713d82026c10 | [
"LicenseRef-scancode-public-domain",
"LicenseRef-scancode-warranty-disclaimer"
] | permissive | clg55/Scilab-Workbench | 4ebc01d2daea5026ad07fbfc53e16d4b29179502 | 9f8fd29c7f2a98100fa9aed8b58f6768d24a1875 | refs/heads/master | 2023-05-31T04:06:22.931111 | 2022-09-13T14:41:51 | 2022-09-13T14:41:51 | 258,270,193 | 0 | 1 | null | null | null | null | UTF-8 | Scilab | false | false | 2,174 | sci | sci_gener.sci | function [stk,txt,top]=sci_gener(nam)
// stk : liste dont les elements sont des listes et qui joue plus ou
// moins un role similaire a celui de la partie haute la pile scilab
// (contient la description) des variables sur lesquelles on travaille
// comme dans la pile scilab stk(top) est la derniere variable definie
//
// chaque element de stk a la structure suivante:
// stk(k)=list(definition,type_expr,nb_ligne,nb_col,typevar)
//
// *definition peut etre soit:
// - une expression fortran a+2*b-3*c(1) si sa valeur est scalaire
// - une reference a la premiere adresse d'un tableau fortran:
// a si a est une matrice qui est definie
// work(iwn) si la variable est stockee dans un tableau de
// travail double precision
// iwork(iiwn) si la variable est stockee dans un tableau de
// travail entier
// *type_expr code le type de l'expression et sert essentiellement a
// determiner comment parentheser
// '2' : somme de termes
// '1' : produits de facteurs
// '0' : atome
// *type_var unused
// *nb_ligne , nb_col : nombre de ligne et de colonne, ce sont aussi
// des chaines de caracteres
// ATTENTION: stk entre par le contexte et l'on ne ressort que la valeur
// courante
//
// txt : est la portion de texte fortran genere pour realiser la fonction
// si besoin est (calcul matriciel)
//!
// Copyright INRIA
txt=[]
//
RHS=[]
write(logfile,'Unknown function '+nam+..
',the original calling sequence is used at line '+string(lcount))
txt='//! Unknown function '+nam+', the original calling sequence is used'
if funptr(nam)<>0 then
nam1='%'+nam
write(logfile,'Warning: conflict with a scilab primitive function name changed to '+nam1)
txt='//!function name changed from '+nam+' to '+nam1
nam=nam1
end
for k=1:rhs
RHS=[stk(top)(1),RHS]
top=top-1
end
top=top+1
if lhs==1 then
stk=list(nam+rhsargs(RHS),'0','?','?','?')
else
stk=list()
for k=1:lhs
stk(k)=list(nam+rhsargs(RHS),'-1','?','?','?')
end
end
|
2be28a01a0ad35d5127752e6e47001dd547a80ab | 449d555969bfd7befe906877abab098c6e63a0e8 | /1727/CH5/EX5.26/5_26.sce | a64add1017984524a6bd5f20bf510b2f3714fe32 | [] | 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 | 186 | sce | 5_26.sce | clc
//Initialization of variables
Q1=0.93
Q2=0.4
H1=0.7
H2=0.5
//calculations
n=log(Q1/Q2) /log(H1/H2)
//results
printf("Shape n = %.1f . hence shape of weir is triangular",n)
|
1ff78977cee9465ecc70d73e6c021b32769fad15 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1439/CH8/EX8.4/8_4.sce | 7229c8ca4f9dd943ef26cb007ece02cb86f81740 | [] | 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 | 188 | sce | 8_4.sce | clc
//initialisation of variables
mu= 5 //gms
Mu= 60.06 //gms
mw= 75 //gms
//CALCULATIONS
Tb= 0.513*mu*1000/(Mu*mw)
//RESULTS
printf ('boiling water of a solution= %.3f deg',Tb)
|
d52a7d871e1c2da61d9b52555fc26e1c2f711c70 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2438/CH3/EX3.21/Ex3_21.sce | f0d4a79764144a0a2c4e4377efbe2824fef7d94d | [] | 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 | 756 | sce | Ex3_21.sce | //=======================================================================
// chpter 3 example 21
clc;
clear;
//input data
f = 50; //frequency in Hz
Bm = 1.1; //magnetic flux in Wb/m^2
t = 0.0005; //thickness of sheet
p = 30*10^-8*7800; //resistivity in ohms m
d = 7800; //density in kg/m^3
Hl = 380; //hysteresis loss per cycle in W-S/m^2
//calculation
Pl = ((%pi^2)*(f^2)*(Bm^2)*(t^2))/(6*p); //eddy current loss
Hel = (Hl*f)/d; //hysteresis loss
Tl = Pl+Hel; //total iron loss
//result
mprintf('total iron loss =%3.2f watt/kg \n',Tl);
|
e7eba690ae72cadf65c590c4b491298c511527c7 | 99b4e2e61348ee847a78faf6eee6d345fde36028 | /Toolbox Test/shiftdata/shiftdata7.sce | 34a0abdda356f1c332cd8201442f8ab85497a54e | [] | 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 | 263 | sce | shiftdata7.sce | //check o/p when i/p arg x contains only zeros
x=[0 0 0;0 0 0;0 0 0];
dim=2;
[x,perm,nshifts] = shiftdata(x,dim);
disp(x);
disp(perm);
disp(nshifts);
//output
// 0. 0. 0.
// 0. 0. 0.
// 0. 0. 0.
// 2. 1.
//
// []
//
|
164da679f41e51b54181159a3c139394a864359b | 449d555969bfd7befe906877abab098c6e63a0e8 | /581/CH2/EX2.8/Example2_8.sci | 41a1a11baf87283ccd0a0bd6d9474725292f637e | [] | 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 | 1,080 | sci | Example2_8.sci |
clear;
clc;
printf("\t Example 2.8\n");
P=0.1; //dissipating power,W
D=0.0036; //outer diameter of cylinder, m
l=0.01; //length of cylinder, m
T=308; // temperature of air in the cabinet,K
h=13; // convection coefficient, W/(m^2*K)
e=0.9;
A=1.33*10^-4; //area of ressistor's surface, m^2
Tm=(T+323)/2; // ressistor's temperature at 50 K
Hr=4*5.67*10^-8*Tm^3*e; // radiative heat transfer coefficient,W/(m^2*K)
Rteq=1/(A*(Hr+h));
Tres=T+P*Rteq;
//we guessed a ressistor's temperature of 323K in finding Hr,recomputing with this higher temperature,we have Tm=327K and Hr=7.17W/(m^2*K). if we repeat the rest of calculations, we get a new value Tres=345.3K, since the use of hr is an approximation, we should check its applicability: 1/4*((345.3-308)/327)^2=0.00325<<1, in this case, the approximation is a very good one
Tr=Tres-273.06;
printf("\t temperature of ressistor is : %.2f K\n",Tr);
printf("\t since 1/4*(temperature diffference/mean temperature)= 1/4*((72.3-35)/327)^2=0.00325<<1, in this case, the approximation is a very good one.");
//End |
4696b0d999f504f15cae2bf9203666dcfee3ea2b | 99b4e2e61348ee847a78faf6eee6d345fde36028 | /Toolbox Test/islinphase/islinphase2.sce | a03bdb6e1ed447ccfcbc8541d88311150b4c2757 | [] | 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 | 99 | sce | islinphase2.sce | //
b=[1.0000 -0.9999];
a=[1.0000 0.4500];
flag1=islinphase(b,a);
disp(flag1);
//output
// 0
|
1dc89fbe59a8dd62481f54fa51e7a36a98df6c39 | fb36c751dc01e1bdbbed3e2a4438aa6fd1a0d833 | /ap186_act9_without_envelope.sce | c325e6e2db46b44df86bf46099792ad966142763 | [] | no_license | jbadelino/Applied-Physics-186-Activity-9 | 6ced1c6d11f5f6dc25bf4ec03b4c28827d13d7a2 | 9816153edd62ec24e584bccf334072cddd9c7b00 | refs/heads/master | 2020-08-03T13:27:33.582105 | 2019-09-30T03:28:10 | 2019-09-30T03:28:10 | 211,767,631 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 1,861 | sce | ap186_act9_without_envelope.sce | chdir("C:\Users\Asus\Documents\Applied Physics 186\act 9");
music_sheet = imread("cropped.jpg");
music_sheet = im2bw(music_sheet, 0.2);;
music_sheet = imcomplement(music_sheet);
scf(); imwrite(music_sheet, "thresholded.png");
scf(); imwrite(music_sheet, "inverted_ms.png");
//eliminating the staff lines
se1 = CreateStructureElement('circle',3);
se2 = CreateStructureElement('circle',2);
music_sheet = CloseImage(music_sheet,se1);
music_sheet = OpenImage(music_sheet,se2);
scf(); imwrite(music_sheet, "morphed.png");
//locating the centroid of each blob
Object = SearchBlobs(music_sheet);
x_cent=zeros(1,max(Object))
y_cent=zeros(1,max(Object))
for i=1:max(Object)
[y,x]=find(Object==i)
xmean=mean(x)
ymean=mean(y)
x_cent(i)=xmean
y_cent(i)=ymean
end
C = 261.63*2;
D = 293.66*2;
E = 329.63*2;
F = 349.23*2;
G = 392*2;
A = 440*2;
note=zeros(1,size(y_cent,2))
for j=1:size(y_cent,2)
if y_cent(1,j)>44 & y_cent(1,j)<46
note(1,j) = C
end
if y_cent(1,j)>31 & y_cent(1,j)<33
note(1,j) = G
end
if y_cent(1,j)>28 & y_cent(1,j)<31
note(1,j) = A
end
if y_cent(1,j)>34 & y_cent(1,j)<36
note(1,j) = F
end
if y_cent(1,j)>37 & y_cent(1,j)<39
note(1,j) = E
end
if y_cent(1,j)>40 & y_cent(1,j)<42
note(1,j) = D
end
end
spacing=diff(x_cent)
timing=zeros(1,size(x_cent,2))
for j=1:size(spacing,2)
if spacing(j)>60
timing(j)=4
end
if spacing(j)<60
timing(j)=2
end
end
timing(1,14)=2
function n = note_function(f, t)
n = sin(2*%pi*f*linspace(0,t,8192*t));
endfunction;
music = []
for i=1:size(note,2)
music =cat(2,music,note_function(note(1,i),(timing(1,i))))
end
sound(music,8192)
wavwrite(music, "twinkle_without_envelope(high).mp3")
|
c47a8967165f909f3d7e44f453c1c2f485277fc4 | 449d555969bfd7befe906877abab098c6e63a0e8 | /506/CH10/EX10.3.a/Example10_3a.sce | b36cb4781992079215160054c9401733c915842c | [] | 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 | Example10_3a.sce | clear;
clc;
//Caption: To find the parameters of a FET 2N3684
//Given Values
Vpmin=-2;//in V
Vpmax=-5;//in V
Idssmin=1.6;//in mA
Idssmax=7.05;//in mA
Idmin=0.8;//in mA
Ia=Idmin;
Idmax=1.2;//in mA
Ib=Idmax;
Vdd=24;//in V
Vgs1=0;//in V
Id1=0.9;//in mA
Vgs2=-4;//in V
Id2=1.1;//in mA
//Slope determines Rs
Rs=(Vgs1-Vgs2)/(Id2-Id1);
disp('ohm',Rs,'Rs=');
Vgg=Id1*Rs;
disp('V',Vgg,'Vgg=');
//end |
4bf5ff0669f5836246800b2a9a77ca63a3d6d09c | 449d555969bfd7befe906877abab098c6e63a0e8 | /3886/CH3/EX3.19/Ex3_19.sce | 938f7e1b76e1c153d8b8a5e5b7da40b7c0942405 | [] | 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 | 271 | sce | Ex3_19.sce | //Reactions developed in simply supported beam
//Refer fig. 3.46 (a)&(b)
//make assumptions as shown in fig. 3.46 (a)&(b)
//Taking moment about B
RA=((20*4*2)+((4*40*4)/(3*2)))/(6) //kN
RB=80+80-RA //kN
printf("The reactions are:-\nRA=%.2f kN\nRB=%.2f kN",RA,RB)
|
b4ca8c759068843144d77f0b920a60a4c7fcb767 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3825/CH7/EX7.21/Ex7_21.sce | 9104f1018aa3e23ee264f23113cacf86245c3c5d | [] | 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 | 311 | sce | Ex7_21.sce | clc
h1=2775.8
h2=167.456
h3=104.77
h4=146.56
s1=7.5984
s2=0.5721
s3=0.367
s4=0.5049
m3=((h2-h1)*10^4)/(h3-h4)
mprintf("m3=%fkg/h\n",m3)//ans vary due to roundoff error
TO=300
delta=(-10^4*TO*(s2-s1))-(m3*TO*(s4-s3))
mprintf("Net change in availability=%fkJ",delta)//ans vary due to roundoff error
|
fd77c32c1c24ff10660d552b8d6ffbeed48349ec | 449d555969bfd7befe906877abab098c6e63a0e8 | /3878/CH21/EX21.1/Ex21_1.sce | 591c97dbd11708d7e2361b9eac794df4dabdbd31 | [] | 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 | 610 | sce | Ex21_1.sce | clear
// Variable declaration
m_a=68// The mass flow rate of air in kg/s
T_1=16// The temperature of air at inlet in °C
T_2=34// The temperature of air at outlet in °C
T_win=85// The temperature of hot water at inlet in °C
T_wout=74// The temperature of hot water at outlet in °C
C_pa=1.02// The specific heat capacity of air in kJ/kg.K
C_pw=4.187// The specific heat capacity of water in kJ/kg.K
// Calculation
Q=m_a*C_pa*(T_2-T_1)// Heat input in kW
m_w=Q/(C_pw*(T_win-T_wout))// The mass flow rate of water in kg/s
printf("\n \nHeat input,Q=%4.0f kW \nThe mass flow rate of water,Q=%2.0f kg/s",Q,m_w)
|
66f0c9b6495eddaf6b9684a8b2a33be6f52ab923 | 1bb72df9a084fe4f8c0ec39f778282eb52750801 | /test/JB02.prev.tst | c46254386a3672c95651e57f6a9e6c92f1de2a27 | [
"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 | 23 | tst | JB02.prev.tst | -> CR.ONE.agm(CR.TWO)
|
6f56faedbea3c2711a9d9127292297faa830b003 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1067/CH46/EX46.03/46_03.sce | ef8bec90ef88a30318421520d127d59ed4aa1bd8 | [] | 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 | 258 | sce | 46_03.sce | clear;
clc;
p11=80;
p12=90;
p21=100;
p22=90;
x=integrate('.1*x+20','x',p11,p12);
y=integrate('.2*x+6','x',p21,p22);
p=x+y;
as=p*8760;
mprintf("economic loading for unit 1=%dRs/hr\neconomic loading for unit 2=%dRs/hr\nannual savings=%dRs",x,y,as);
|
fe83ec147c84b41656a36a14ae88d44dba9f2e5e | 449d555969bfd7befe906877abab098c6e63a0e8 | /2510/CH17/EX17.5/Ex17_5.sce | 2ac673dba90e4d22a121541f6f0e29b292b00319 | [] | 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 | Ex17_5.sce | //Variable declaration:
//From example 17.4:
X = 0.1246 //X-coordinate of figure 17.3
//Calculation:
//Applying equation (A) from Table 17.3:
Y = 4.5128*X**3 - 10.079*X**2 - 31.413*X + 101.47
//Result:
printf("The fin efficiency is : %.1f %%",Y)
|
df03b80eea5eb7f75d16e363ffcf4931ebf97d7d | 1b969fbb81566edd3ef2887c98b61d98b380afd4 | /Rez/bivariate-lcmsr-post_mi/bfas_ee_usi/~BivLCM-SR-bfas_ee_usi-PLin-VLin.tst | edc9955899d215dd61a055978cbb89cb0c6acea4 | [] | no_license | psdlab/life-in-time-values-and-personality | 35fbf5bbe4edd54b429a934caf289fbb0edfefee | 7f6f8e9a6c24f29faa02ee9baffbe8ae556e227e | refs/heads/master | 2020-03-24T22:08:27.964205 | 2019-03-04T17:03:26 | 2019-03-04T17:03:26 | 143,070,821 | 1 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 11,974 | tst | ~BivLCM-SR-bfas_ee_usi-PLin-VLin.tst |
THE OPTIMIZATION ALGORITHM HAS CHANGED TO THE EM ALGORITHM.
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
1 2 3 4 5
________ ________ ________ ________ ________
1 0.379935D+00
2 -0.161975D-02 0.324214D-02
3 -0.354655D-02 0.212102D-02 0.269085D+00
4 0.185671D-02 -0.930073D-05 -0.240210D-02 0.218858D-02
5 0.228624D-02 0.169635D-03 0.162709D-03 -0.141452D-03 0.281745D-02
6 0.809223D-03 -0.180414D-03 -0.712775D-03 0.170472D-03 -0.174384D-04
7 0.751304D-03 -0.202968D-03 0.547313D-03 0.123614D-03 -0.247796D-03
8 0.108551D-02 0.167750D-03 0.156065D-03 -0.461781D-04 -0.494339D-04
9 -0.303196D+00 0.384853D-01 0.156117D+00 -0.946947D-02 0.102321D+00
10 0.775606D-01 0.137732D-01 0.189799D+00 -0.954286D-02 0.137216D+00
11 -0.219823D-01 0.648062D-02 -0.293077D+00 0.122525D-01 0.641222D-03
12 0.259533D+00 0.619118D-02 0.197046D+00 -0.128509D-02 0.923960D-03
13 0.110493D-01 -0.919559D-02 0.103417D+00 0.124091D-01 -0.167049D-01
14 0.113246D+00 0.199836D-01 0.220465D+00 0.210258D-02 0.685240D-02
15 -0.811218D+00 -0.101463D+00 -0.948005D+00 0.227475D-01 -0.176621D+00
16 -0.410480D-01 -0.101803D-01 0.265106D-02 -0.151667D-02 -0.310010D-02
17 -0.658644D-02 -0.478145D-03 0.204792D-02 0.920786D-05 -0.369146D-03
18 -0.621112D+00 0.337676D-01 -0.121114D+00 -0.322373D-01 0.337605D-01
19 0.180629D-01 0.988086D-02 0.163078D+00 -0.116778D-01 0.158331D-02
20 -0.598448D+00 -0.788666D-02 0.471513D+00 0.224124D-01 -0.826036D-02
21 -0.422372D-02 -0.119714D-01 -0.174451D+00 0.806725D-02 -0.504028D-03
22 -0.301845D-03 -0.121384D-03 -0.143132D-02 -0.591948D-04 -0.177374D-03
23 -0.675468D-02 -0.188347D-02 0.123938D-01 0.296678D-02 0.202077D-03
24 0.156756D-02 0.180662D-04 -0.832348D-03 0.133689D-03 -0.782118D-04
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
6 7 8 9 10
________ ________ ________ ________ ________
6 0.148661D-02
7 0.723415D-03 0.159468D-02
8 -0.249318D-03 0.102605D-04 0.243652D-02
9 -0.847175D-02 0.604842D-02 -0.876976D-02 0.590760D+02
10 -0.450125D-02 -0.219523D-01 0.122469D-02 0.265031D+01 0.193904D+02
11 0.430373D-02 0.409173D-03 0.185851D-01 -0.468649D+01 -0.193182D+00
12 0.111747D-01 0.217453D-01 0.813349D-01 0.511232D+01 0.776563D-01
13 0.551475D-01 0.641751D-01 -0.639336D-02 -0.150561D+00 -0.767339D+00
14 -0.326516D-01 -0.229661D-01 0.120493D+00 -0.120186D+01 0.161999D+01
15 0.183839D-01 0.428230D-01 0.386123D-01 -0.167866D+02 -0.138914D+02
16 0.291270D-02 0.339563D-02 -0.210732D-03 0.722565D+00 -0.378063D+00
17 -0.241853D-03 -0.330366D-03 -0.533823D-03 -0.897749D-01 -0.340905D-01
18 -0.243964D-01 -0.688480D-01 0.133228D-01 -0.672790D+00 0.310150D+01
19 -0.880142D-02 0.257084D-02 -0.182034D-02 0.158430D+01 0.317076D+00
20 0.571965D-02 0.194815D-01 -0.110795D+00 0.430437D+01 0.465112D+01
21 0.504637D-02 -0.554478D-02 0.189961D-02 -0.154499D+01 -0.211906D+00
22 -0.210795D-03 0.354978D-04 0.653001D-04 0.613303D-02 -0.103055D-01
23 0.188930D-03 0.383054D-03 0.198873D-03 0.252821D-01 0.117826D-01
24 -0.275411D-04 -0.190825D-03 -0.241976D-03 -0.425754D-01 -0.235620D-01
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
11 12 13 14 15
________ ________ ________ ________ ________
11 0.227297D+02
12 -0.410627D+01 0.426596D+02
13 -0.172416D+01 0.508614D+00 0.789176D+01
14 0.153209D+01 0.152304D+01 -0.199109D+01 0.204270D+02
15 0.402107D+01 0.272132D+01 0.396451D+01 -0.954552D+00 0.344019D+03
16 0.113741D+00 -0.209929D+00 0.138433D+00 -0.136447D+00 0.310946D+01
17 -0.111034D-01 -0.143224D-01 -0.244088D-01 -0.121926D-01 -0.137217D+01
18 -0.180349D+01 -0.805108D-01 -0.212210D+01 0.221958D+01 -0.161606D+02
19 -0.151543D-01 0.314636D-01 0.169255D+00 -0.270230D+00 -0.123504D+01
20 -0.792006D+01 -0.170421D+02 0.410172D+01 -0.899171D+01 -0.139484D+02
21 0.228124D+00 -0.958031D-01 -0.386577D+00 0.275890D+00 0.732115D+00
22 -0.172283D-01 0.112808D-01 -0.157663D-01 0.129604D-03 0.118644D+00
23 0.429416D-01 0.190007D+00 0.185475D-01 -0.296219D-01 0.167666D+00
24 0.343785D-01 -0.135191D-01 -0.182642D-01 -0.250892D-01 0.960766D-02
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
16 17 18 19 20
________ ________ ________ ________ ________
16 0.557276D+00
17 -0.240079D-01 0.152925D-01
18 -0.200850D+00 0.696720D-01 0.140265D+03
19 0.153949D-01 0.972629D-02 0.464387D+00 0.380771D+01
20 0.314140D+00 0.499785D-01 -0.152328D+02 0.486634D+01 0.170046D+03
21 0.190381D-01 -0.625104D-02 0.243572D+01 -0.331609D+01 -0.537523D+01
22 0.134171D-02 -0.139592D-03 -0.681010D+00 -0.822872D-02 0.373313D-01
23 0.105696D-01 -0.162841D-02 -0.313576D+00 -0.140825D+00 0.106352D+01
24 -0.306417D-02 0.421290D-03 0.126941D+00 -0.203285D-01 -0.788444D+00
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
21 22 23 24
________ ________ ________ ________
21 0.381424D+01
22 -0.269631D-01 0.784823D-02
23 0.104142D+00 0.422836D-02 0.217350D+00
24 0.324603D-01 -0.682582D-03 -0.154493D-01 0.798099D-02
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
1 2 3 4 5
________ ________ ________ ________ ________
1 1.000
2 -0.046 1.000
3 -0.011 0.072 1.000
4 0.064 -0.003 -0.099 1.000
5 0.070 0.056 0.006 -0.057 1.000
6 0.034 -0.082 -0.036 0.095 -0.009
7 0.031 -0.089 0.026 0.066 -0.117
8 0.036 0.060 0.006 -0.020 -0.019
9 -0.064 0.088 0.039 -0.026 0.251
10 0.029 0.055 0.083 -0.046 0.587
11 -0.007 0.024 -0.119 0.055 0.003
12 0.064 0.017 0.058 -0.004 0.003
13 0.006 -0.057 0.071 0.094 -0.112
14 0.041 0.078 0.094 0.010 0.029
15 -0.071 -0.096 -0.099 0.026 -0.179
16 -0.089 -0.240 0.007 -0.043 -0.078
17 -0.086 -0.068 0.032 0.002 -0.056
18 -0.085 0.050 -0.020 -0.058 0.054
19 0.015 0.089 0.161 -0.128 0.015
20 -0.074 -0.011 0.070 0.037 -0.012
21 -0.004 -0.108 -0.172 0.088 -0.005
22 -0.006 -0.024 -0.031 -0.014 -0.038
23 -0.024 -0.071 0.051 0.136 0.008
24 0.028 0.004 -0.018 0.032 -0.016
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
6 7 8 9 10
________ ________ ________ ________ ________
6 1.000
7 0.470 1.000
8 -0.131 0.005 1.000
9 -0.029 0.020 -0.023 1.000
10 -0.027 -0.125 0.006 0.078 1.000
11 0.023 0.002 0.079 -0.128 -0.009
12 0.044 0.083 0.252 0.102 0.003
13 0.509 0.572 -0.046 -0.007 -0.062
14 -0.187 -0.127 0.540 -0.035 0.081
15 0.026 0.058 0.042 -0.118 -0.170
16 0.101 0.114 -0.006 0.126 -0.115
17 -0.051 -0.067 -0.087 -0.094 -0.063
18 -0.053 -0.146 0.023 -0.007 0.059
19 -0.117 0.033 -0.019 0.106 0.037
20 0.011 0.037 -0.172 0.043 0.081
21 0.067 -0.071 0.020 -0.103 -0.025
22 -0.062 0.010 0.015 0.009 -0.026
23 0.011 0.021 0.009 0.007 0.006
24 -0.008 -0.053 -0.055 -0.062 -0.060
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
11 12 13 14 15
________ ________ ________ ________ ________
11 1.000
12 -0.132 1.000
13 -0.129 0.028 1.000
14 0.071 0.052 -0.157 1.000
15 0.045 0.022 0.076 -0.011 1.000
16 0.032 -0.043 0.066 -0.040 0.225
17 -0.019 -0.018 -0.070 -0.022 -0.598
18 -0.032 -0.001 -0.064 0.041 -0.074
19 -0.002 0.002 0.031 -0.031 -0.034
20 -0.127 -0.200 0.112 -0.153 -0.058
21 0.025 -0.008 -0.070 0.031 0.020
22 -0.041 0.019 -0.063 0.000 0.072
23 0.019 0.062 0.014 -0.014 0.019
24 0.081 -0.023 -0.073 -0.062 0.006
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
16 17 18 19 20
________ ________ ________ ________ ________
16 1.000
17 -0.260 1.000
18 -0.023 0.048 1.000
19 0.011 0.040 0.020 1.000
20 0.032 0.031 -0.099 0.191 1.000
21 0.013 -0.026 0.105 -0.870 -0.211
22 0.020 -0.013 -0.649 -0.048 0.032
23 0.030 -0.028 -0.057 -0.155 0.175
24 -0.046 0.038 0.120 -0.117 -0.677
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
21 22 23 24
________ ________ ________ ________
21 1.000
22 -0.156 1.000
23 0.114 0.102 1.000
24 0.186 -0.086 -0.371 1.000
|
e0847e2ecf3227fb8941e8d0ca0be88fb36c67af | 449d555969bfd7befe906877abab098c6e63a0e8 | /3556/CH11/EX11.12/Ex11_12.sce | 93eea10caf27114e60a3b16f9d3a62250c883568 | [] | 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 | 1,519 | sce | Ex11_12.sce | clc
// Fundamental of Electric Circuit
// Charles K. Alexander and Matthew N.O Sadiku
// Mc Graw Hill of New York
// 5th Edition
// Part 2 : AC Circuits
// Chapter 11 : AC power Analysis
// Example 11 - 12
clear; clc; close;
//
// Given data
S_load = 12.0000;
pf_load = 0.8560;
Vrms_load = 120.0000;
Vrms_angle = 0.0000;
//
// Calculations Average dan Reactive Power
P_load = S_load * pf_load;
Q_load = S_load * sqrt(1 - ((pf_load)^2));
// Calculations Peak Current
S = complex(P_load*1000,Q_load*1000)
V = complex(Vrms_load*cosd(0),Vrms_load*sind(0))
I_stars = norm(S/V);
I_peak = I_stars * sqrt(2);
// Calculations Load Impedance
Irms_mag = I_stars;
Irms_real = real(S/V);
Irms_imag = imag(S/V);
Irms_angle = -atand(Irms_imag,Irms_real);
Z_mag = Vrms_load/Irms_mag;
Z_angle = Vrms_angle - Irms_angle;
//
disp("Example 11-12 Solution : ");
disp("a. Real and Reactive Power : ");
printf(" \n P_load = Real Power = %.3f KW",P_load)
printf(" \n Q_load = Reactive Power = %.3f Kvar",Q_load)
disp("")
disp("b. Peak Current : ");
printf(" \n I_peak = Peak Current = %.3f A",I_peak)
disp("")
disp("C. Load Impedance : ");
printf(" \n Z_mag = Magnitude of Load Impedance = %.3f Ohm",Z_mag)
printf(" \n Z_angle = Angle of Load Impedance = %.3f degree",Z_angle)
|
2ea60768cfc57bb0cacb8d358169850ea558fb66 | 089894a36ef33cb3d0f697541716c9b6cd8dcc43 | /NLP_Project/test/tweet/bow/bow.2_10.tst | 68912b9085932551d96f83a36425e895b580ec1f | [] | 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 | 36,702 | tst | bow.2_10.tst | 2 10:0.5 17:1.0 18:0.5 19:0.3333333333333333 30:0.2 39:1.0 43:0.2 53:0.6666666666666666 56:0.125 59:0.6666666666666666 63:0.25 68:0.125 69:1.0 88:1.0 100:0.2 126:0.125 187:1.0 247:1.0 326:0.1 327:1.0 370:1.0 402:0.3333333333333333 545:0.5 806:1.0 888:0.5 1093:1.0 1175:1.0 1248:1.0 1652:1.0 2012:1.0 2287:1.0 2504:1.0 2602:1.0 2875:1.0 3231:1.0 3659:1.0 3660:1.0 4517:1.0 4580:1.0 4757:1.0 5314:1.0
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2 4:0.16666666666666666 10:0.25 11:0.2857142857142857 18:0.5 19:0.3333333333333333 30:0.2 39:0.5 43:0.2 46:1.5 48:0.5 82:0.1111111111111111 100:0.4 135:1.0 170:0.07692307692307693 359:0.3333333333333333 402:0.3333333333333333 505:0.14285714285714285 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
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2 9:1.0 11:0.14285714285714285 14:0.5 28:0.15789473684210525 43:0.2 46:1.0 59:0.3333333333333333 63:0.25 64:0.3333333333333333 68:0.25 69:1.0 82:0.1111111111111111 87:1.0 115:1.0 170:0.07692307692307693 173:0.5 236:0.5 263:0.25 388:1.0 402:1.0 419:0.5 473:1.0 505:0.14285714285714285 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 2768:0.3333333333333333 2911:1.0 4523:1.0 5348:1.0
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2 11:0.2857142857142857 15:1.0 17:0.5 28:0.15789473684210525 30:0.06666666666666667 37:1.0 39:0.5 43:0.4 46:0.5 63:0.25 68:0.125 83:0.125 90:0.023255813953488372 91:0.5 118:1.0 146:1.0 147:1.0 156:0.5 161:0.5 170:0.07692307692307693 189:0.3333333333333333 263:0.25 264:0.5 326:0.1 327:1.0 416:0.5 428:1.0 469:1.0 478:1.0 491:1.0 551:1.0 556:1.0 584:0.5 586:0.2 650:1.0 666:0.2 876:0.3333333333333333 1196:0.5 1337:1.0 1353:1.0 1358:1.0 1621:1.0 1654:1.0 2514:1.0 3125:1.0 3139:1.0 3407:0.5 4321:1.0
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e6cd6f96f1ef85cf5372e9c6f0e6ee65f82b8121 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2126/CH1/EX1.39/39.sce | 161204894665b8cd811d5fcca155040bf0f46c82 | [] | 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 | 841 | sce | 39.sce | clc
clear
//Input data
V=5 //Volume of air in m^3
Ae=10*10^-4 //Exit area in cm^2
To=60+273 //Temperature inside in the tank in K
Po1=40 //Intial total pressure in bar
Po2=2 //Final total pressure in bar
P=1 //Discharge pressure in bar
R=287 //Specific gas constant in J/kg-K
//Calculation
//Here pressure ratios P/Po1 and P/Po2 are always less than critical pressure ratio therefore flow is choked i.e. M=1 at exit
Gp=(0.0404184*Ae)/sqrt(To) //Mass flow rate by Stagnation pressure i.e. m/Po
//Differentiating m=(P*V)/(R*To) w.r.t. time and intrgrating resulting equation we get following expression.
t=-(V/(R*To*Gp))*log(Po2/Po1) //The time required for tank pressure to decrease from Po1 to Po2 in sec
//Output
printf('The time required for tank pressure to decrease from %i bar to %i bar is %3.2f sec',Po1,Po2,t)
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1a19b986fbb1f6631b02bd242a54f03f6ca9cc8b | 449d555969bfd7befe906877abab098c6e63a0e8 | /692/CH6/EX6.10/P6_10.sce | 34530ba8430d30d4e5b329331d25efad6d5adee7 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 278 | sce | P6_10.sce | //EXAMPLE 6.10
//Z-transform from pole-zero locations
clc;
clear;
z=%z;
//using the pole & zero locations provided
num=(z-0.21)*(z-3.14)*(z-(-0.3+%i*0.5))*(z-(-0.3-%i*0.5));
den=(z+0.45)*(z-0.67)*(z-(0.81+%i*0.72))*(z-(0.81-%i*0.72));
k=2.2;
Gz=(num/den);
disp(k*Gz,'Gz = ');
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e5f15fc1e89bd550cec0faccc96a55db70ed389f | 449d555969bfd7befe906877abab098c6e63a0e8 | /1172/CH1/EX1.17/Example1_17.sce | 1f79e17e09acc1d79327bf4d5e11d7fd542bdbb0 | [] | 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 | 413 | sce | Example1_17.sce | clc
//Given
D_5=0.336// diameter of fifth ring in cm
D_15=0.59// diameter of fifteenth ring in cm
lambda=5.893e-5// wavelength of incident light in cm
p=10
//Sample Problem 17 Page No. 53
printf("\n # Problem 17 # \n")
printf(" \n Standard formula used \n D_(n+p) ^2 – D_n^2 = 4*p*R*lambda \n")
r= ((D_15^2-D_5^2)/ (4*p*lambda))
printf("\n Radius of curvature of Plano-convex lens is %f cm. ",r)
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51266adaf18e1f6883ba1e8f7537919744585e65 | 449d555969bfd7befe906877abab098c6e63a0e8 | /51/CH2/EX2.2/2_2.sce | 7027faa0707dc7bd18f69324fd295d7503b2690a | [] | 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 | 813 | sce | 2_2.sce | clc;
clear;
h=1250;//ft
T=59;//degree fareheit
p=14.7;//psi (abs)
sw=0.0765;//lb/ft^3, (specific weight of air at p)
//considering air to be compressible
//p1/p2= exp(-(g*(z1-z2))/(R*T))
ratp=exp(-(32.2*h)/(1716*(59+460)));
disp(ratp,"ratio of pressure at the top to that at the base considering air to be compressible=")
//considering air to be incompressible
//p2=p1-(sw*(z2-z1));
ratp1=1-((sw*h)/(p*144));
disp(ratp1,"ratio of pressure at the top to that at the base considering air to be incompressible=")
count=1;
zdiff=0:5000;
for i= 0:5000
j(count)=1-((sw*i)/(p*144));
count=count+1;
end
num=1;
for k=0:5000
l(num)=exp(-(32.2*k)/(1716*(59+460)));
num=num+1;
end
plot(zdiff,j,"o")
plot(zdiff,l,"+")
xtitle("p2/p1 vs z2-z1","z1-z2","p2/p1")
|
0c183dd00a671d22fe9d7db3ac739edafd45dd0d | 449d555969bfd7befe906877abab098c6e63a0e8 | /3825/CH6/EX6.14/Ex6_14.sce | 7ee87934454129fe21f6ac15e8ba1b06553677c6 | [] | 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 | 709 | sce | Ex6_14.sce | clc
O2=0.19 //moles of O2
N2a=0.19*3.7619 //moles of N2
CO=0.26 //moles of CO in fuel
H2=0.12 //moles of H2 in fuel
CO2=0.07 //moles of CO2 in fuel
N2b=0.55 //moles of N2 in fuel
mprintf("Theoretical ari-fuel ratio=%f mole air/mole fuel\n",(O2+N2a)/(CO+H2+CO2+N2b))//ans vary due to roundoff error
CO2=0.33 //moles in product after combustion
H2O=0.12//moles in product after combustion
O2=0.038//moles in product after combustion
N2=1.408//moles in product after combustion
//product analysis
sigmaNi=CO2+H2O+O2+N2
a=CO2/sigmaNi //for CO2
b=H2O/sigmaNi //for H2O
c=O2/sigmaNi //for O2
d=N2/sigmaNi //for N2
mprintf("yi=.\n%f\n%f\n%f\n%f",a,b,c,d)//ans may vary due to roundoff error
|
cd9fa33748a3d0aeef999e3c464deab0ee3ce6e2 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3041/CH3/EX3.9/Ex3_9.sce | bd7bcb23d4b627f2e3bb8a7bf4403386fb627af0 | [] | 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 | 1,153 | sce | Ex3_9.sce | //Variable declaration
Ic=4 //collector current(mA)
Vce=8 //collector emitter voltage(V)
beeta=100 //current gain
Rb2=24 //base resistance(kohms)
Vbe=0.7 //base to emitter voltage(V)
Rc=4 //collector current(kohm)
Re=2 //emitter resistance(kohms)
Ib=0.04 //base current(mA)
//Calculations
//Part a
Vcc=(Ic*Rc)+Vce+Ic*Re //from formula Vcc=IcRc+Vce+(Ic+Ib)Re..eq 1
//Part b
Rb1=Rb2*(Vcc-(Vbe+Ic*Re))/((Vbe+Ic*Re)+Ib) //from eq 1 and also from Vbb= Vcc(Rb2/(Rb1+Rb2))
Rb=(Rb1*Rb2)/(Rb1+Rb2) //base resistance(ohms)
Vbb=(Vcc*Rb2)/(Rb1+Rb2) //supply to base(V)
//Part c
abeeta=40 //actual current gain
Ib1=((Vbe+Re*Ic)-Vbe)/((1+abeeta)*2+Rb) //from equation Vbb=IbRb+Vbe+(Ic+Ib)Re
Ic1=abeeta*Ib1 //collector gain
//Results
printf ("a)Vcc is %.1f V",Vcc)
printf ("b)values are Rb1: %.2f KOhms,Rb : %.2f kohm and Vbb : %.2f V" ,Rb1,Rb,Vbb)
printf ("c)actual value of Ic1 : %.2f mA",Ic1)
|
c6762db3af9c33c7430c3ded3abf8176c03faa68 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1592/CH3/EX3.18/example_3_18.sce | 4bc679ecd9ce394e03080e46c39838202d2ef1ce | [] | 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 | example_3_18.sce | //Scilab Code for Example 3.18 of Signals and systems by
//P.Ramakrishna Rao
//A=%pi or 3.14
clear;
clc;
//Trignometric Fourier Coefficients
a(1)=integrate('sin(w)','w',0,%pi);
for n=1:8
a(2*n+1)=integrate('sin(w+2*n*w)','w',0,%pi)+integrate('sin(w-2*w*n)','w',0,%pi);
end
for n=0:8
b(n+1)=0;
end
disp(abs(a(1)),"an(a0)");
disp("an(a1-->a8)");
n=1:8;
disp(2*a(n+1));
disp("bn(b1-->b8)");
n=1:8;
disp(b(n));
|
8b37288ff8566e877af33736e40677ea6f8ece34 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3176/CH3/EX3.8/Ex3_8.sce | b730075a1b134773d32bddf5f914c2ee258cdf63 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 2,005 | sce | Ex3_8.sce | //Ex3_8
// Histogram Specification
// Version : Scilab 5.4.1
// Operating System : Window-xp, Window-7
//Toolbox: Image Processing Design 8.3.1-1
//Toolbox: SIVP 0.5.3.1-2
//Reference book name : Digital Image Processing
//book author: Rafael C. Gonzalez and Richard E. Woods
clc;
close;
clear;
xdel(winsid())//to close all currently open figure(s).
r=[0 1 2 3 4 5 6 7]; // Intensity
nk=[790 1023 850 656 329 245 122 81]; //Total No. of Pixels having Same Intensity
probability_Specified=[0.00 0.00 0.00 0.15 0.20 0.30 0.20 0.15]; // Histogram Specification
M=sum(nk);
probability_r=nk/M; // Probablity calculation
for i=1:length(r)
sum_1=0;
sum_2=0;
for j=1:i
sum_1=sum_1+probability_r(j); // Histogram Equalization
sum_2=sum_2+probability_Specified(j); // Histogram Specification
end
s(i)=max(r)*sum_1;
G(i)=max(r)*sum_2;
end
s=round(s); // Rounding Approach
disp('Histogram Equalization:')
disp(s);
G=round(G); // Rounding Approach
disp('Histogram Specification G(Zq):')
disp(G);
[nr nc]=size(s);
for i=0:max(r)
[row col]=find(G(i+1)==s);
len=length(row);
if(len>0)
sum_1=0;
for j=1:len
sum_1=sum_1+probability_r(row(j));
end
Hist_Spe(i+1)=sum_1;
end
if(len==0)
if(G(i+1)==0)
Hist_Spe(i+1)=0;
else
Hist_Spe(i+1)=probability_r(G(i+1));
end
end
end
disp('Histogram After Matching:')
disp(Hist_Spe);
figure,bar(r,probability_r,0.1);
title('Original Histrogram','color','blue','fontsize',4);
xlabel('Intensity');
ylabel('Probability of Same Intensity');
figure,bar(r,probability_Specified,0.1);
title('Specified Histogram','color','blue','fontsize',4);
xlabel('Intensity');
ylabel('Probability of Same Intensity');
figure,bar(r,Hist_Spe,0.1);
title('Histogram matching','color','blue','fontsize',4);
xlabel('Intensity');
ylabel('Probability of Same Intensity');
|
ca27a4ab017038c3ca46c0f1b206a13d0ec57797 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1910/CH2/EX2.9/Chapter29.sce | 1fdf9084994deffdb3da55d99c88ea5d44c1da43 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 2,067 | sce | Chapter29.sce | //Display mode
mode(0);
// Display warning for floating point exception
ieee(1);
clear;
clc;
disp("Introduction to heat transfer by S.K.Som, Chapter 2, Example 09")
//A thin walled copper tube of outside metal radius r=0.01m carries steam at temprature, T1=400K.It is inside a room where the surrounding air temprature is Tinf=300K.
T1=400;
Tinf=300;
r=0.01;
//The tube is insulated with magnesia insulation of an approximate thermal conductivity of k=0.07W/(m*K)
k=0.07;
//External convective Coefficient h=4W/(m^2*K)
h=4;
//Critical thickness(rc) is given by k/h
disp("The critical thickness of insulation in metre is")
rc=k/h
//We use the rate of heat transfer per metre of tube length as Q=(Ti-Tinf)/((ln(r2/r1)/(2*%pi*L*k))+(1/(h*2*%pi*r2*L))) where length,L=1m
L=1;
//When 0.002m thick layer of insulation r1=0.01m,r2=0.01+0.002=0.012m
r1=0.01;//inner radius
r2=0.012;//outer radius
//Let ln(r2/r1)=X
X=log(r2/r1)/log(2.718);
//The heat transfer rate per metre of tube length is Q
disp("The heat transfer rate Q per metre of tube length in W/m is ")
Q=(T1-Tinf)/(((X)/(2*%pi*L*k))+(1/(h*2*%pi*r2*L)))
//When critical thickness of insulation r1=0.01m,r2=0.0175m
r2=0.0175;//outer radius
r1=0.01;//inner radius
//Let ln(r2/r1)=X
X=log(r2/r1)/log(2.718);
//The heat transfer rate per metre of tube length is Q
disp("The heat transfer rate per metre of tube length Q in W/m is ")
Q=(T1-Tinf)/(((X)/(2*%pi*L*k))+(1/(h*2*%pi*r2*L)))
//When there is a 0.05 m thick layer of insulation r1=0.01m,r2=.01+0.05=0.06m
r1=0.01;//inner radius
r2=0.06;//outer radius
//Let ln(r2/r1)=X
X=log(r2/r1)/log(2.718);
//The heat transfer rate per metre of tube length is Q
disp("The heat transfer rate per metre of tube length Q in W/m is ")
Q=(T1-Tinf)/(((X)/(2*%pi*L*k))+(1/(h*2*%pi*r2*L)))
//It is important to note that Q increases by 5.2% when the insulation thickness increases from 0.002m to critical thickness.
//Addition of insulation beyond the critical thickness decreases the value of Q (The heat loss).
|
c76aa808c591931ff93a091c995543ed91bf6e66 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1445/CH2/EX2.1/Ex2_1.sce | 9d1060542b03582a39fc29eb62ec47b4573fe897 | [] | 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 | 346 | sce | Ex2_1.sce | //CHAPTER 2- STEADY-STATE ANALYSIS OF SINGLE-PHASE A.C. CIRCUIT
//Example 1
clc;
disp("CHAPTER 2");
disp("EXAMPLE 1");
//SOLUTION
//average value
v_av=(integrate('sin(x)','x',0,%pi))/(2*%pi);
//rms value
v_rms=(integrate('sin(x)^2','x',0,%pi))/(2*%pi);
v_rms=sqrt(v_rms);
ff=v_rms/v_av;
disp(sprintf("The form factor is %f",ff));
//END
|
d31adc17a9241bb96357c182edeca91bac1ab011 | 717ddeb7e700373742c617a95e25a2376565112c | /3044/CH3/EX3.8/Ex3_8.sce | 399ee55145f06e2b053bcea6b87ba9c313ddb07c | [] | 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 | 546 | sce | Ex3_8.sce | //Variable declaration
n_chem=7 // Total chemists
r_chem=2 // chemists to be selected
n_phy=9 // Total physicists
r_phy=3 // physicists to be selected
//Calculation
function ans = fact(n)
// returns factorial of number n"""
if(n==1 | n==0) then
ans = 1
else:
ans = n*fact(n-1)
end
endfunction
function ans = comb(n,r)
ans = fact(n)/(fact(r)*fact(n-r))
endfunction
ways=comb(n_chem,r_chem) * comb(n_phy,r_phy) // total number of methods
//Results
printf ( "Total methods : %.f",ways)
|
1026788773662abd6e30ed354ecbc9b1abfe09ed | 449d555969bfd7befe906877abab098c6e63a0e8 | /215/CH16/EX16.8/ex16_8.sce | 0b018478a7cd23e765aac01a5710e32ff7382b75 | [] | 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 | 315 | sce | ex16_8.sce | clc
//Example 16.8
//From figure 16.26
disp('Writing the expression for voltage gain')
disp('Vout/Vin=4000*(-1/200)*(5000*10^8/s)/((5000+10^8/s)*(5000+10^6/20s))')
//On simplification
s=poly(0,'s')
h=syslin('c',(-2*s)/((1+s/10)*(1+s/20000)))
disp(h)
fmin=0.01
fmax=10^7
scf(1);clf;
bode(h,fmin,fmax)
|
1424e354a72f125b94072e04956b621c70f8119f | 449d555969bfd7befe906877abab098c6e63a0e8 | /1997/CH11/EX11.29/example29.sce | 599c3eb2e7d1b2b4c98ac01595cd53d334687635 | [] | 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 | 482 | sce | example29.sce | //Chapter-11 example 29
//=============================================================================
clc;
clear;
//input data
CR = 50;//compression ratio
PW = 2;//pulse width in us
//Calculations
CPW = PW/CR //compression pulse width in us
BW = 1/CPW //compression band width in Mhz
//output
mprintf('compressed pulse width is %g us\n compression Bandwidth is %g MHz\n',CPW,BW);
//====================end of the program=======================================
|
88dc59651aa0b132d5930e9746d2e60bc405f262 | 1b969fbb81566edd3ef2887c98b61d98b380afd4 | /Rez/bivariate-lcmsr-post_mi/bfi_o_usi_d/~BivLCM-SR-bfi_o_usi_d-PLin-VLin.tst | 685cb9811ccc69c8626cd753d1ae2850b98367a3 | [] | no_license | psdlab/life-in-time-values-and-personality | 35fbf5bbe4edd54b429a934caf289fbb0edfefee | 7f6f8e9a6c24f29faa02ee9baffbe8ae556e227e | refs/heads/master | 2020-03-24T22:08:27.964205 | 2019-03-04T17:03:26 | 2019-03-04T17:03:26 | 143,070,821 | 1 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 11,974 | tst | ~BivLCM-SR-bfi_o_usi_d-PLin-VLin.tst |
THE OPTIMIZATION ALGORITHM HAS CHANGED TO THE EM ALGORITHM.
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
1 2 3 4 5
________ ________ ________ ________ ________
1 0.245719D+00
2 0.872830D-04 0.214986D-02
3 -0.663629D-01 0.189789D-02 0.319962D+00
4 0.145756D-02 -0.571188D-03 -0.195238D-02 0.291873D-02
5 0.216449D-02 -0.388455D-04 -0.145914D-02 -0.195589D-04 0.418525D-02
6 -0.112808D-03 -0.644003D-05 0.108118D-04 0.106044D-03 0.952604D-04
7 -0.839181D-03 -0.553217D-04 -0.656303D-03 0.283208D-03 -0.210980D-03
8 0.210559D-02 0.106798D-03 0.617042D-04 -0.518058D-04 0.408366D-04
9 -0.419840D+00 0.721607D-02 0.126557D+00 -0.127905D-01 -0.119955D-01
10 -0.179498D+00 0.216540D-02 0.804061D-01 -0.567778D-02 0.164298D+00
11 0.474759D-01 -0.715084D-02 -0.134707D+00 0.232692D-01 -0.116472D-01
12 0.414981D+00 -0.169876D-01 0.508505D+00 -0.257405D-01 0.112079D-01
13 0.265123D-03 -0.254471D-02 -0.353352D-02 0.144106D-01 0.605639D-02
14 0.267404D+00 0.899617D-02 0.447181D+00 0.247988D-01 -0.196925D-01
15 -0.724153D+00 -0.398252D-01 -0.913705D-01 -0.211664D-02 -0.150518D+00
16 0.395434D-02 -0.104940D-01 -0.201716D-01 0.934085D-03 -0.226526D-03
17 -0.800801D-02 0.613096D-04 0.181765D-02 -0.132839D-03 -0.648860D-04
18 -0.587833D-01 -0.171121D-03 0.347660D+00 -0.436164D-01 -0.953763D-02
19 -0.231518D-01 0.139189D-02 0.965226D-01 -0.929045D-02 0.285416D-02
20 -0.239281D+00 -0.986177D-02 -0.467006D+00 0.464878D-01 -0.207887D-01
21 -0.116442D-01 0.973387D-03 -0.143637D+00 0.586389D-02 -0.212598D-02
22 0.174909D-02 -0.215263D-03 -0.339109D-02 -0.435127D-03 -0.102159D-04
23 -0.205790D-01 -0.106849D-02 0.186808D-01 0.372499D-02 0.231145D-02
24 -0.127728D-02 -0.408308D-03 0.489398D-02 0.234284D-03 -0.209141D-03
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
6 7 8 9 10
________ ________ ________ ________ ________
6 0.583096D-03
7 0.677956D-03 0.464255D-02
8 0.290971D-04 0.311864D-04 0.207173D-02
9 -0.530922D-02 -0.403219D-01 0.151802D-01 0.237134D+02
10 -0.498959D-03 0.104622D-01 -0.867684D-02 -0.214711D+01 0.144302D+02
11 0.251117D-01 0.577982D-01 -0.302553D-01 -0.289135D+01 0.655701D+00
12 -0.105334D-01 -0.152360D-01 0.177309D+00 0.304824D+01 -0.231115D+01
13 0.350103D-01 0.824835D-01 0.151635D-01 -0.870423D+00 -0.150285D+01
14 0.117638D-01 -0.191548D-01 0.158939D+00 0.244993D+01 -0.443366D+00
15 0.375564D-03 0.153764D-01 -0.207544D-01 0.381111D+01 -0.638178D+01
16 0.351922D-03 -0.431764D-03 0.347437D-03 0.467459D+00 -0.802840D-01
17 0.233337D-04 0.712740D-04 -0.405331D-03 -0.106193D+00 -0.832181D-02
18 -0.218239D-01 -0.762380D-01 0.654484D-02 0.617074D+01 -0.193573D+01
19 -0.517894D-02 0.195875D-01 0.947126D-03 -0.486403D+00 -0.298810D-01
20 -0.164742D-01 -0.372853D-01 -0.206947D+00 -0.797697D+01 0.207255D+01
21 0.500199D-02 -0.204884D-01 -0.132996D-02 0.580457D+00 -0.625859D-01
22 -0.277788D-03 -0.182864D-03 0.401813D-03 0.325939D-02 0.793445D-02
23 0.104551D-02 0.281501D-02 -0.541167D-03 -0.159670D+00 0.109554D+00
24 0.766754D-04 0.481679D-04 -0.188902D-03 0.326206D-01 -0.143561D-01
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
11 12 13 14 15
________ ________ ________ ________ ________
11 0.295935D+02
12 -0.722970D+01 0.160258D+03
13 -0.163063D+01 0.229360D+01 0.100940D+02
14 0.366104D+00 0.121216D+02 -0.326571D+01 0.616712D+02
15 0.292691D+01 0.731560D+01 -0.283785D+01 -0.227046D+01 0.156428D+03
16 -0.504553D-01 0.114289D+00 -0.331206D-01 -0.135578D+00 0.173085D+01
17 -0.856498D-03 -0.913020D-01 0.359110D-01 -0.317664D-01 -0.824163D+00
18 -0.765450D+01 0.146609D+02 0.109898D+01 0.530538D+00 -0.253829D+02
19 0.213321D+01 0.799967D+00 -0.433721D+00 -0.801575D-01 -0.916955D-01
20 0.934492D+01 -0.743080D+02 -0.282654D+01 -0.334979D+02 0.125708D+02
21 -0.192062D+01 -0.112721D+01 0.369581D+00 0.330116D+00 -0.151502D+00
22 -0.452706D-01 -0.139745D-02 -0.431738D-01 0.271502D-01 0.170900D+00
23 0.108086D+00 0.299104D-01 0.101687D+00 -0.132876D+00 0.556659D-01
24 -0.483295D-01 0.545759D-01 0.140858D-01 0.128741D-01 -0.943184D-01
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
16 17 18 19 20
________ ________ ________ ________ ________
16 0.287661D+00
17 -0.166939D-01 0.105806D-01
18 0.936707D-01 0.150678D+00 0.128317D+03
19 -0.101900D+00 0.733778D-02 -0.359109D+00 0.315010D+01
20 0.806023D-01 -0.207675D-01 -0.713868D+02 0.135263D+01 0.315987D+03
21 -0.484337D-01 0.522041D-02 0.296383D+01 -0.279752D+01 -0.235434D+01
22 0.555929D-02 -0.293418D-02 -0.679874D+00 0.387346D-02 0.339505D+00
23 0.308545D-01 -0.197006D-03 -0.804989D+00 -0.108464D+00 0.296317D+01
24 -0.388494D-03 0.162177D-02 0.407957D+00 -0.288081D-02 -0.146153D+01
ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES
21 22 23 24
________ ________ ________ ________
21 0.330132D+01
22 -0.298289D-01 0.863089D-02
23 -0.571769D-01 0.879112D-02 0.393758D+00
24 0.181482D-01 -0.399136D-02 -0.375694D-01 0.148721D-01
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
1 2 3 4 5
________ ________ ________ ________ ________
1 1.000
2 0.004 1.000
3 -0.237 0.072 1.000
4 0.054 -0.228 -0.064 1.000
5 0.067 -0.013 -0.040 -0.006 1.000
6 -0.009 -0.006 0.001 0.081 0.061
7 -0.025 -0.018 -0.017 0.077 -0.048
8 0.093 0.051 0.002 -0.021 0.014
9 -0.174 0.032 0.046 -0.049 -0.038
10 -0.095 0.012 0.037 -0.028 0.669
11 0.018 -0.028 -0.044 0.079 -0.033
12 0.066 -0.029 0.071 -0.038 0.014
13 0.000 -0.017 -0.002 0.084 0.029
14 0.069 0.025 0.101 0.058 -0.039
15 -0.117 -0.069 -0.013 -0.003 -0.186
16 0.015 -0.422 -0.066 0.032 -0.007
17 -0.157 0.013 0.031 -0.024 -0.010
18 -0.010 0.000 0.054 -0.071 -0.013
19 -0.026 0.017 0.096 -0.097 0.025
20 -0.027 -0.012 -0.046 0.048 -0.018
21 -0.013 0.012 -0.140 0.060 -0.018
22 0.038 -0.050 -0.065 -0.087 -0.002
23 -0.066 -0.037 0.053 0.110 0.057
24 -0.021 -0.072 0.071 0.036 -0.027
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
6 7 8 9 10
________ ________ ________ ________ ________
6 1.000
7 0.412 1.000
8 0.026 0.010 1.000
9 -0.045 -0.122 0.068 1.000
10 -0.005 0.040 -0.050 -0.116 1.000
11 0.191 0.156 -0.122 -0.109 0.032
12 -0.034 -0.018 0.308 0.049 -0.048
13 0.456 0.381 0.105 -0.056 -0.125
14 0.062 -0.036 0.445 0.064 -0.015
15 0.001 0.018 -0.036 0.063 -0.134
16 0.027 -0.012 0.014 0.179 -0.039
17 0.009 0.010 -0.087 -0.212 -0.021
18 -0.080 -0.099 0.013 0.112 -0.045
19 -0.121 0.162 0.012 -0.056 -0.004
20 -0.038 -0.031 -0.256 -0.092 0.031
21 0.114 -0.165 -0.016 0.066 -0.009
22 -0.124 -0.029 0.095 0.007 0.022
23 0.069 0.066 -0.019 -0.052 0.046
24 0.026 0.006 -0.034 0.055 -0.031
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
11 12 13 14 15
________ ________ ________ ________ ________
11 1.000
12 -0.105 1.000
13 -0.094 0.057 1.000
14 0.009 0.122 -0.131 1.000
15 0.043 0.046 -0.071 -0.023 1.000
16 -0.017 0.017 -0.019 -0.032 0.258
17 -0.002 -0.070 0.110 -0.039 -0.641
18 -0.124 0.102 0.031 0.006 -0.179
19 0.221 0.036 -0.077 -0.006 -0.004
20 0.097 -0.330 -0.050 -0.240 0.057
21 -0.194 -0.049 0.064 0.023 -0.007
22 -0.090 -0.001 -0.146 0.037 0.147
23 0.032 0.004 0.051 -0.027 0.007
24 -0.073 0.035 0.036 0.013 -0.062
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
16 17 18 19 20
________ ________ ________ ________ ________
16 1.000
17 -0.303 1.000
18 0.015 0.129 1.000
19 -0.107 0.040 -0.018 1.000
20 0.008 -0.011 -0.355 0.043 1.000
21 -0.050 0.028 0.144 -0.867 -0.073
22 0.112 -0.307 -0.646 0.023 0.206
23 0.092 -0.003 -0.113 -0.097 0.266
24 -0.006 0.129 0.295 -0.013 -0.674
ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES
21 22 23 24
________ ________ ________ ________
21 1.000
22 -0.177 1.000
23 -0.050 0.151 1.000
24 0.082 -0.352 -0.491 1.000
|
d1408680a135b52e4b9cccc5cca1252c95ad2930 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2204/CH4/EX4.15/ex4_15.sce | 5fb07a3d6b4f8f41be1718ce8b301b23970c7185 | [] | 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 | 344 | sce | ex4_15.sce | // Exa 4.15
clc;
clear;
close;
// Given data
R = 500;// in k ohm
R = R * 10^3;// in ohm
C = 10;// in µF
C = C * 10^-6;// in F
V= -0.5;// in V
Vout= 12;// in V
// Vout= -1/RC*integrate('V*t','t',0,t)= -1/(R*C)*V*t
t= Vout/(-1/(R*C)*V);// in sec
disp(t,"Time duration required for saturation of output voltage in second is : ")
|
a9dc20ff2ea3e6487ddbdee7781e689ba22e0ea4 | a62e0da056102916ac0fe63d8475e3c4114f86b1 | /set7/s_Electronic_Measurements_And_Instrumentation_P._Sharma_876.zip/Electronic_Measurements_And_Instrumentation_P._Sharma_876/CH4/EX4.13/Ex4_13.sce | d73059923de7d27ef9088fd1adf4153d8eb2fd4b | [] | 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 | 476 | sce | Ex4_13.sce | errcatch(-1,"stop");mode(2);//caption:find value of frequency of the bridge arm resistance of arm AD
//Ex4.13
R1=1000//resistance of arm AB(in ohm)
C1=0.159*10^-6//capacitance of arm AB(in F)
R2=1000//resistance of arm BC(in ohm)
C3=0.636*10^-6//capacitance of arm BC(in F)
R4=500//resistance of arm BC(in ohm)
R3=R1*((R4/R2)-(C1/C3))
disp(R3,'resistance of the arm AD(in ohm)=')
f=1/(2*%pi*sqrt(C1*C3*R1*R3))
disp(f,'frequency of the bridge(in Hz)=')
exit();
|
6fcf3bd18bbe325abde7ac847e30e0c00812ac9c | 449d555969bfd7befe906877abab098c6e63a0e8 | /629/CH11/EX11.8/example11_8.sce | 1675d17a7b90928557750803e4e046b496a6650c | [] | 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 | 624 | sce | example11_8.sce | clear
clc
//Example 11.8 TAKEOFF CHARACTERISTICS OF AN AIRPLANE
Vo=140000/3600; //velocity [m/s]
rho=1.2; //density [Kg/m^3]
b=10; //wing span[m]
c=1.5; //chord length[m]
S=b*c //area [m^2]
FL=11600; //lift force[N]
CL=FL/(S*rho*Vo^2/2) //lift coefficient
A=b/c //aspect ratio
//Interpolating for A from fig.11.23,
alpha=7; //angle of attack in degrees
printf("\nThe angle of attack for a take the given take off speed = %.f degrees.\n",alpha)
//stall occurs at CL=1.18, from fig.11.23
Cl=1.18;
Vstall=sqrt(2*FL/(Cl*S*rho))*(3600/1000) //stall speed [Km/hr]
printf("\nThe stall speed is %.f km/h.\n",Vstall) |
9b5a53850829b1fba81671bc3316d83a3b4485cb | 449d555969bfd7befe906877abab098c6e63a0e8 | /3681/CH10/EX10.16/Ex10_16.sce | 8b0fa7ea7db8dfa40d987bd8777c849afb2e9d88 | [] | 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 | 1,733 | sce | Ex10_16.sce | // Calculating the magnetizing current per phase
clc;
disp('Example 10.16, Page No. = 10.44')
// Given Data
// 3 phase delta connected induction motor
P = 75;// Power rating (in kw)
V = 400;// Voltage rating
f = 50;// Frequency (in Hz)
p = 6;// Number of poles
D = 0.3;// Diameter of motor core (in meter)
L = 0.12;// Length of motor core (in meter)
Nss = 72;// Number of stator slots
Nc = 20;// Number of conductors per slot
lg = 0.55;// Length of air gap (in meter)
Kg = 1.2// Gap constraction factor
Coil_Span = 11;// Coil span (slots)
// Calculation of the magnetizing current per phase
q = Nss/(3*p);// Slots per pole per phase
Kd = sin(60/2*%pi/180)/(q*sin(60/(2*4)*%pi/180));// Distribution factor
Ns_pole = Nss/p;// Slots per pole
alpha = 1/Ns_pole*180;// Angle of chording (in degree). Since the winding is chorded by 1 slot pitch
Kp = cos(alpha/2*%pi/180);// Pitch factor
Kws = Kd*Kp;// Stator winding factor
Ns = Nss*Nc;// Total stator conductors
Ts = Ns/(3*2);// Stator turns per phase
Eb = V;// Stator voltage per phase. Since machine is delta connected
Fm = Eb/(4.44*f*Ts*Kws);// Flux per pole (in Wb)
A = %pi*D*L/p;// Area per pole (in meter square)
Bav = Fm/A;// Average air gap density (in Wb per meter square)
Bg60 = 1.36*Bav;// Gap flux density at 30 degree from pole axis
ATg = 800000*Bg60*Kg*lg*10^(-3);// Mmf required for air gap (in A)
ATi = 0.35*ATg;// Mmf for iron parts (in A). Since mmf required for iron parts is 35% of air gap mmf
AT60 = ATg+ATi;// Total mmf (in A)
Im = 0.427*p*AT60/(Kws*Ts);// Magnetizing current per phase (in ampere)
disp(Im,'Magnetizing current per phase (Ampere) =');
//in book answer is 4.56 Ampere. The answers vary due to round off error
|
080fce8272591caf4199d3bd9b1b648b6b998ef8 | a62e0da056102916ac0fe63d8475e3c4114f86b1 | /set12/s_Industrial_Instrumentation_K._Krishnaswamy_And_S._Vijayachitra_1436.zip/Industrial_Instrumentation_K._Krishnaswamy_And_S._Vijayachitra_1436/CH6/EX6.6/ex6_6.sce | 01596eb720b56a8e4be2fc36288f469e04f88046 | [] | 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 | 125 | sce | ex6_6.sce | errcatch(-1,"stop");mode(2);// Example 6.6, page no-374
rho=1000
Bw=5000
v=Bw/rho
printf("V = %d m^3",v)
exit();
|
9cded8c6f42aece592c04186f73ef86576520f54 | 527c41bcbfe7e4743e0e8897b058eaaf206558c7 | /Positive_Negative_test/Netezza-Base-DataMining/SP_KaplanMeierHypoTest-NZ-01.tst | f8cad620af75bb84a3e98f258e3883814c53ae38 | [] | no_license | kamleshm/intern_fuzzy | c2dd079bf08bede6bca79af898036d7a538ab4e2 | aaef3c9dc9edf3759ef0b981597746d411d05d34 | refs/heads/master | 2021-01-23T06:25:46.162332 | 2017-07-12T07:12:25 | 2017-07-12T07:12:25 | 93,021,923 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 6,536 | tst | SP_KaplanMeierHypoTest-NZ-01.tst | -- Fuzzy Logix, LLC: Functional Testing Script for DB Lytix functions on Netezza
--
-- Copyright (c): 2014 Fuzzy Logix, LLC
--
-- NOTICE: All information contained herein is, and remains the property of Fuzzy Logix, LLC.
-- The intellectual and technical concepts contained herein are proprietary to Fuzzy Logix, LLC.
-- and may be covered by U.S. and Foreign Patents, patents in process, and are protected by trade
-- secret or copyright law. Dissemination of this information or reproduction of this material is
-- strictly forbidden unless prior written permission is obtained from Fuzzy Logix, LLC.
--
--
-- Functional Test Specifications:
--
-- Test Category: Hypothesis Testing Functions
--
-- Test Unit Number: SP_KaplanMeierHypoTest-NZ-01
--
-- Name(s): SP_KaplanMeierHypoTest
--
-- Description: SP_KaplanMeierHypoTest performs Kaplan-Meier Test on two data samples.
-- Kaplan-Meier Test is used to determine whether survival probabilities
-- between samples are significantly different.
--
-- Applications:
--
-- Signature: SP_KaplanMeierHypoTest(IN TableName VARCHAR(100),
-- IN DataSetID1 INTEGER,
-- IN DataSetID2 INTEGER,
-- IN Note VARCHAR(256))
--
-- Parameters: See Documentation
--
-- Return value: Table
--
-- Last Updated: 01-25-2015
--
-- Author: <Joe.Fan@fuzzyl.com>, <Anurag.Reddy@fuzzyl.com>
--
-- BEGIN: TEST SCRIPT
--.run file=../PulsarLogOn.sql
-- BEGIN: NEGATIVE TEST(s)
--- Initialization
DROP TABLE tblWHAS100_Pulsar;
CREATE TABLE tblWHAS100_Pulsar
(
ObsID BIGINT,
TIME DOUBLE PRECISION,
STATUS DOUBLE PRECISION,
Gender DOUBLE PRECISION
)
DISTRIBUTE ON ( ObsID );
---- Case 1: Input validation
-- Case 1a: Empty input table
DELETE FROM tblWHAS100_Pulsar;
-- Need to change output table name to include random AnalysisID
CALL SP_KaplanMeierHypoTest('tblWHAS100_Pulsar', 1, 2, 'HypoTest');
-- Result: standard output
-- Case 1b: Bad InputTable string
-- Need to change output table name to include random AnalysisID
DROP TABLE KaplanMeier;
CALL SP_KaplanMeierHypoTest('dummy', 1, 2, 'HypoTest');
-- Result: standard error message
-- Case 1c: Bad TimeColName string
-- Case 1d: Bad StatusColName string
-- Case 1e: Bad SampleIDColName string
-- Case 1f: Bad Alpha number
-- Case 1g: Bad WHERE clause
--NA for NZ
/*
-- Need to change output table name to include random AnalysisID
-- Result: need to resolve TDFL-400
*/
-- Case 1h: Bad GROUP BY clause
--NA for NZ
-- Case 1i: Bad TableOutput string
DELETE FROM tblWHAS100_Pulsar;
INSERT INTO tblWHAS100_Pulsar
SELECT a.ID AS ObsID,
a.FolDate - a.AdmitDate AS TIME,
a.FStat AS STATUS,
a.Gender
FROM tblWHAS100 a;
-- Need to change output table name to include random AnalysisID
CALL SP_KaplanMeierHypoTest('tblWHAS100_Pulsar', 1, 2, 'HypoTest');
-- Result: no output and null ResultTable
-- Need to change output table name to include random AnalysisID
CALL SP_KaplanMeierHypoTest('tblWHAS100_Pulsar', 1, 2, 'HypoTest');
-- Result: no output and null ResultTable
-- Case 2: Input dataset contains only one covariate
DELETE FROM tblWHAS100_Pulsar;
INSERT INTO tblWHAS100_Pulsar
SELECT a.ID AS ObsID,
a.FolDate - a.AdmitDate AS TIME,
a.FStat AS STATUS,
0
FROM tblWHAS100 a;
CALL SP_KaplanMeierHypoTest('tblWHAS100_Pulsar', 1, 2, 'HypoTest');
-- Result: standard output
-- Case 3: Strange Status indicator
-- Case 3a: Status is all 0
DELETE FROM tblWHAS100_Pulsar;
INSERT INTO tblWHAS100_Pulsar
SELECT a.ID AS ObsID,
a.FolDate - a.AdmitDate AS TIME,
0 AS STATUS,
a.Gender
FROM tblWHAS100 a;
CALL SP_KaplanMeierHypoTest('tblWHAS100_Pulsar', 1, 2, 'HypoTest');
-- Result: division by zero
-- Case 3b: Status is all 1
DELETE FROM tblWHAS100_Pulsar;
INSERT INTO tblWHAS100_Pulsar
SELECT a.ID AS ObsID,
a.FolDate - a.AdmitDate AS TIME,
1 AS STATUS,
a.Gender
FROM tblWHAS100 a;
CALL SP_KaplanMeierHypoTest('tblWHAS100_Pulsar', 1, 2, 'HypoTest');
-- Result: standard outputs
-- Case 3c: Status is not 0 or 1
DELETE FROM tblWHAS100_Pulsar;
INSERT INTO tblWHAS100_Pulsar
SELECT a.ID AS ObsID,
a.FolDate - a.AdmitDate AS TIME,
a.FStat * 10 AS STATUS,
a.Gender
FROM tblWHAS100 a;
CALL SP_KaplanMeierHypoTest('tblWHAS100_Pulsar', 1, 2, 'HypoTest');
-- Result: division by zero (need to restrict to 0/1 and write that in user manual)
-- Case 4: Negative time
DELETE FROM tblWHAS100_Pulsar;
INSERT INTO tblWHAS100_Pulsar
SELECT a.ID AS ObsID,
a.FolDate - a.AdmitDate - 1000 AS TIME,
a.FStat AS STATUS,
a.Gender
FROM tblWHAS100 a;
CALL SP_KaplanMeierHypoTest('tblWHAS100_Pulsar', 1, 2, 'HypoTest');
-- Result: standard outputs
-- Case 5: Random ObsID sequence
DELETE FROM tblWHAS100_Pulsar;
INSERT INTO tblWHAS100_Pulsar
SELECT a.ID * RANDOM(1,10) AS ObsID,
a.FolDate - a.AdmitDate AS TIME,
a.FStat AS STATUS,
a.Gender
FROM tblWHAS100 a;
DROP TABLE KaplanMeier;
CALL SP_KaplanMeierHypoTest('tblWHAS100_Pulsar', 1, 2, 'HypoTest');
-- Result: standard outputs
---- Wrapup
DROP TABLE tblWHAS100_Pulsar;
-- END: NEGATIVE TEST(s)
-- BEGIN: POSITIVE TEST(s)
---- Case 1
CREATE OR REPLACE VIEW vwWHAS100 AS
SELECT 1 AS DataSetID,
a.ID AS ObsID,
a.FolDate - a.AdmitDate AS TIME,
a.FStat AS STATUS,
a.Gender
FROM tblWHAS100 a
UNION ALL
SELECT 2 AS DataSetID,
a.ID AS ObsID,
a.FolDate - a.AdmitDate AS TIME,
a.FStat AS STATUS,
a.Gender
FROM tblWHAS100 a;
CALL SP_KaplanMeierHypoTest('vwWHAS100', 1, 2, 'HypoTest');
-- Result: Fails saying that Y Value must be positive
---- Case 2
CREATE OR REPLACE VIEW vwWHAS100_2 AS
SELECT 1 AS MultiplierID,
a.*
FROM vwWHAS100 a
UNION ALL
SELECT 2 AS MultiplierID,
a.*
FROM vwWHAS100 a;
CALL SP_KaplanMeierHypoTest('vwWHAS100_2', 1, 2, 'HypoTest');
---- Cleanup
DROP VIEW vwWHAS100;
DROP VIEW vwWHAS100_2;
-- END: POSITIVE TEST(s)
-- END: TEST SCRIPT
|
364612898b13dbe0e3d937f21c8f98d6ad2bfcc5 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3523/CH3/EX3.7.5/Ex3_5.sce | c2e6edcd1001e4da6c17d7093186864c4b442d56 | [] | 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 | 306 | sce | Ex3_5.sce | // Example 6// Ch 3
clc;
clear;
close;
// given data
m = 1;//in kg
M=2.016;//molecular weight of helium
k = 8314// gas constant in J/kg.mol.K
p = 1.01*10^5;//1 atm=1.01*10^5 N/m2
T = 273;//in kelvin
G = m*k*T/(M*p);//volume of 1kg of helium in m^3
printf("volume of 1kg of helium is %f m^3",G)
|
823b6c58269b5a80daca6aa01277302d0c4ff754 | 8217f7986187902617ad1bf89cb789618a90dd0a | /browsable_source/2.2/Unix/scilab-2.2/macros/scicos/drawobj.sci | 0162b3014088bf5e7923361738dbf0299741f71e | [
"LicenseRef-scancode-warranty-disclaimer",
"LicenseRef-scancode-public-domain",
"MIT"
] | permissive | clg55/Scilab-Workbench | 4ebc01d2daea5026ad07fbfc53e16d4b29179502 | 9f8fd29c7f2a98100fa9aed8b58f6768d24a1875 | refs/heads/master | 2023-05-31T04:06:22.931111 | 2022-09-13T14:41:51 | 2022-09-13T14:41:51 | 258,270,193 | 0 | 1 | null | null | null | null | UTF-8 | Scilab | false | false | 263 | sci | drawobj.sci | function drawobj(o)
if o(1)=='Block' then
execstr(o(5)+'(''plot'',o)')
elseif o(1)=='Link' then
ct=o(7);c=ct(1)
d=xget('dashes')
xset('dashes',c)
xpoly(o(2),o(3),'lines')
xset('dashes',d)
elseif o(1)=='Text' then
execstr(o(5)+'(''plot'',o)')
end
|
9e42e81886f8c999f6c7ebdbdbb23d56ec64657a | 449d555969bfd7befe906877abab098c6e63a0e8 | /343/CH1/EX1.15/ex1_15.sce | 993ee8be5193ee3c8ae0c083bf6c44576a87063b | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 245 | sce | ex1_15.sce | R1=1; // Assigning values to the parameters
R2=5;
R3=4;
R4=8;
R5=6;
R6=2;
R=R1+R2; //series connection
Ra=R5+R6;
Rb=1/((1/R4)+(1/Ra)) ;
Rc=R3+Rb;
Req=1/((1/R)+(1/Rc));
disp("Ohms",Req,"Effective resistance");
|
ad2510ca6456b6253ca8cfec49720d01299a215a | 449d555969bfd7befe906877abab098c6e63a0e8 | /695/CH2/EX2.39/Ex2_39.sce | ba620771f149370f1159392bf89d87221bb19889 | [] | 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 | 686 | sce | Ex2_39.sce | //Caption:Determine the (a)efficiency (b)armature current (c)max efficiency
//Exa:2.39
clc;
clear;
close;
V=240;//in volts
R_f=240;//in ohms
R_a=0.6;//in ohms
I_o=5;//in amperes
I=18;//in amperes
I_f=V/R_f;//in amperes
I_ao=I_o-I_f;
I_a1=I-I_f;
E_bo=V-I_ao*R_a;//in volts
E_b1=V-I_a1*R_a;//in volts
P_dnL=E_bo*I_ao;//in watts
P_m=E_b1*I_a1;//in watts
P_o=P_m-P_dnL;
P_i=V*I;//in watts
Eff=P_o/P_i;
disp(Eff*100,'(a)Efficiency (in %)=')
I_a=sqrt((P_dnL+V*1)/R_a)
disp(I_a,'(b)Armature current (in Amperes)=')
E_b=V-I_a*R_a;
P_m2=E_b*I_a;//in watts
P_out=P_m2-P_dnL;//in watts
P_in=V*I_a;//in watts
Eff_m=P_out/P_in;
disp(Eff_m*100,'(c)Max Efficiency (in %)=') |
0125c8ecf5f87232f1416ccc8159e22f7c59bf9d | 4bbc2bd7e905b75d38d36d8eefdf3e34ba805727 | /ee/contrib/dspic/Flex-PIDtuning/loader.sce | 84bf5440d1265a57433e0f469b981e63038906ec | [] | no_license | mannychang/erika2_Scicos-FLEX | 397be88001bdef59c0515652a365dbd645d60240 | 12bb5aa162fa6b6fd6601e0dacc972d7b5f508ba | refs/heads/master | 2021-02-08T17:01:20.857172 | 2012-07-10T12:18:28 | 2012-07-10T12:18:28 | 244,174,890 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 248 | sce | loader.sce | // generated by builder.sce: Please do not edit this file
// ------------------------------------------------------
folder_path=get_absolute_file_path('loader.sce');
link(folder_path+'MakeTempFilenameDLL.dll',['EvidenceAmazingRollers'],'c');
|
2fc24f91227f93eb97b474b87bf869060515eca5 | 449d555969bfd7befe906877abab098c6e63a0e8 | /926/CH8/EX8.6/Chapter8_Example6.sce | 5e344102cd6fa7ed1e2c4017a7471c7b7baca88b | [] | 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 | 1,859 | sce | Chapter8_Example6.sce | //Hougen O.A., Watson K.M., Ragatz R.A., 2004. Chemical process principles Part-1: Material and Energy Balances(II Edition). CBS Publishers & Distributors, New Delhi, pp 504
//Chapter-8, Illustration 6, Page 282
//Title: Calculation of total enthalpy
//=============================================================================
clear
clc
//INPUT
AW = 65.4; //Atomic weight of zinc
T = [1000 0 419 907]; //Given temperature, solid state temperature, melting point and boiling point of zinc in degree C
CP = [0.105 0.109]; //Mean specific heat of solid from 0-419 degree C and liquid from 419-907 degree C in cal per gram degree C obtained from Fig 63, Page 260
lamda1 = 1660; //Heat of fusion in cal per g-atom obtained from Table 24, Page 272
CP1 = 4.97; //Molal heat capacity of zinc vapor at constant preesure in cal per g-mole
//CALCULATION
T1 = T+273; //Given temperature, solid state temperature, melting point and boiling point of zinc in K
lamda2 = T1(4)*(8.75+4.571*log10(T1(4))); //Heat of vaporization at normal boiling point in cal per g-mole
Lamda1 = CP(1)*(T(3)-T(2)); //Heat absorbed by solid in cal per gram
Lamda2 = lamda1/AW; //Heat of fusion in cal per gram
Lamda3 = CP(2)*(T(4)-T(3)); //Heat absorbed by liquid in cal per gram
Lamda4 = lamda2/AW; //Heat of vaporization in cal per gram
Lamda5 = CP1*(T(1)-T(4))/AW; //Heat absorbed by vapor in cal per gram
Lamda = Lamda1+Lamda2+Lamda3+Lamda4+Lamda5; //Total enthalpy in cal per gram
//OUTPUT
// Console Output
mprintf('\n Total enthalpy of zinc vapor at 1000 degree C = %3.0f cal per gram',Lamda);
// File Output
fd= mopen('.\Chapter8_Example6_Output.txt','w');
mfprintf(fd,'\n Total enthalpy of zinc vapor at 1000 degree C = %3.0f cal per gram',Lamda);
mclose(fd);
//=============================END OF PROGRMAM=================================
|
3e1550df78e3bba0faf422f22dcbaf4268cc40fe | 72d7c10733e74eafb60961874dedea7fa2a43569 | /10.Control_Systems/root_locus.sce | 0dc29ab9392e092bf60e23251642a3e7016b76fc | [] | no_license | AkshayNachappa/Scilab-Workshop | 8dc448c41a2e768f3d93bbed928705445b9c007b | 056436f38a1f3aad7d1e3669595718839108c40e | refs/heads/master | 2023-01-02T00:20:19.968404 | 2020-10-20T17:04:44 | 2020-10-20T17:04:44 | 297,102,650 | 2 | 2 | null | 2020-10-20T17:04:46 | 2020-09-20T15:12:27 | Scilab | UTF-8 | Scilab | false | false | 513 | sce | root_locus.sce |
// Root Locus
clc
close
s=%s
num=input('Enter the Numerator =')
// Case - 1 Enter the Numerator = (s+1)
// Case - 2 Enter the Numerator = (s+1)
// Case - 3 Enter the Numerator = 1
den=input('Enter the Denominator =')
// Case - 1 Enter the Denominator = (s^2*(s+3)*(s+5))
// Case - 2 Enter the Denominator = (s*(s+2)*(s^2+2*s+5))
// Case - 3 Enter the Denominator =(s*(s+2)*(s+5))
TF = syslin('c',num,den)//Transfer function
disp("Transfer Function of system = ",TF)
h=syslin('c',num,den)
evans(h,100)
|
43db9c0c550149d216142673a5e9f6c4b6dc8c25 | 8217f7986187902617ad1bf89cb789618a90dd0a | /source/2.5/tests/examples/markp2ss.man.tst | 5bccae05b66291d3bf7d27fe4772e71c0f769600 | [
"LicenseRef-scancode-public-domain",
"LicenseRef-scancode-warranty-disclaimer"
] | permissive | clg55/Scilab-Workbench | 4ebc01d2daea5026ad07fbfc53e16d4b29179502 | 9f8fd29c7f2a98100fa9aed8b58f6768d24a1875 | refs/heads/master | 2023-05-31T04:06:22.931111 | 2022-09-13T14:41:51 | 2022-09-13T14:41:51 | 258,270,193 | 0 | 1 | null | null | null | null | UTF-8 | Scilab | false | false | 296 | tst | markp2ss.man.tst | clear;lines(0);
W=ssrand(2,3,4); //random system with 2 outputs and 3 inputs
[a,b,c,d]=abcd(W);
markpar=[c*b,c*a*b,c*a^2*b,c*a^3*b,c*a^4*b];
S=markp2ss(markpar,5,2,3);
[A,B,C,D]=abcd(S);
Markpar=[C*B,C*A*B,C*A^2*B,C*A^3*B,C*A^4*B];
norm(markpar-Markpar,1)
//Caution... c*a^5*b is not C*A^5*B !
|
f808319aa54977944ab2c0140b9e332ebb92b295 | 01c58d561d53587ec3a0b2e3faa240e8cb497cf0 | /branches/utils/gettingOfGraphics/showGraphics.sce | c829bf6bd1d340922dab590f376830379af07d2c | [] | no_license | Al-xandr1/SelfSimTraffic | 072b514d35422ce9d037688c9403615c520cbed4 | d525f0208e8d67e16b7d35bdc16ec1e4a2dbdee9 | refs/heads/master | 2020-06-03T15:25:20.244934 | 2014-10-07T17:29:50 | 2014-10-07T17:29:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 34,176 | sce | showGraphics.sce | PATH = '/home/atsarev/software/omnetpp-4.4.1/WORK/SelfSimTraffic/SelfSimTrafficForJitterMeasure/';
// Чтение вещественного числа из xml тега
function [field] = getDoubleFromXml(doc, xmlPath)
xmlList = xmlXPath(doc, xmlPath);//take element from xmlPath
field = strtod(xmlList(1).content);
endfunction
// Чтение большой строки чисел как вектор маленьких строк
function [vec] = getStrVector(doc, xmlPath, limit)
xmlList = xmlXPath(doc, xmlPath);//take element from xmlPath
bigString = xmlList(1).content;
vec = strsplit(bigString(1), " ", limit);
endfunction
//Функция вывода графиков одномерного распределения и АКФ из xml файлов
//Переменное число парметров (переменное количество входных файлов)
function drawingDistrAndACF(varargin)
//СЧИТЫВАНИЕ ПАРАМЕТРОВ
[lhs, rhs] = argn();// rhs - количество входных параметров
if (rhs < 1) then
error(msprintf("drawingDistrAndACF: Ожидалось один или более параметров (имён файлов)"));
end
//Нахождение максимального значения k как для одномерного распределения, так и для АКФ среди всех входных файлов
k_MAX = -1;//максимальное значение k из всех файлов
kMax = zeros(rhs, 1);
k_MAX_ACF = -1;
kMax_ACF = zeros(rhs, 1);
for iter = 1 : rhs
doc = xmlRead(PATH + varargin(iter));
//Часть для одномерного распределения
kMax(iter, 1) = getDoubleFromXml(doc, "//TRAFFIC-MAXVALUE/text()");//<TRAFFIC-MAXVALUE>... сохраняем максимальное k для каждого файла
k_MAX = max(k_MAX, kMax(iter, 1));
//Часть для АКФ
kMax_ACF(iter, 1) = getDoubleFromXml(doc, "//ACF-RANGE/text()");
k_MAX_ACF = max(k_MAX_ACF, kMax_ACF(iter, 1))
xmlDelete(doc);
end
//Заполнение вектора абсцисс (одного для всех с максимальной длиной) и заполнение нулями векторов ординат для каждого файла свой (и тоже они все максимальной длины, среди длин из разных файлов)
//Для одномерного распределения
k = zeros(k_MAX + 1, 1);//количество пакетов в системе (для одномерного распределения) от 0 до k_MAX
for i = 1 : (k_MAX + 1)
k(i,1) = i-1;
end
Pr = zeros(k_MAX + 1, rhs);//<TRAFFIC-DISTRIBUTION>... для rhs разных файлов
//Для АКФ
k_ACF = zeros(k_MAX_ACF, 1);//отсчёты времени для АКФ от 0 до k_MAX_ACF-1
for i = 1 : (k_MAX_ACF)
k_ACF(i,1) = i-1;
end
R = zeros(k_MAX_ACF, rhs);//<ACF-VALUES> ... для rhs разных файлов
//Чтение значений ординат для векторов
for iter = 1 : rhs
doc = xmlRead(PATH + varargin(iter));
//Чтение одномерного распределения
strVec = getStrVector(doc, "//TRAFFIC-DISTRIBUTION/text()", kMax(iter) + 1);
for i = 1 : (kMax(iter) + 1)
Pr(i,iter) = strtod(strVec(i));// парсинг значений
end
//Чтение значений АКФ
strVec_ACF = getStrVector(doc, "//ACF-VALUES/text()", kMax_ACF(iter));
for i = 1 : kMax_ACF(iter)
R(i,iter) = strtod(strVec_ACF(i));
end
xmlDelete(doc);
end
//Запись различных цветов для графиков и легенды
grphColors = [3];//запись цветов для графиков
legDistrib = [varargin(1) + ': TRAFFIC-DISTRIBUTION'];//запись легенды для графиков одномерного распределения
legACF = [varargin(1) + ': ACF'];//запись легенды для графиков АКФ
for iter = 2 : rhs
grphColors = [grphColors (grphColors(iter-1)+2)];
legDistrib = [legDistrib ; (varargin(iter) + ': TRAFFIC-DISTRIBUTION')];
legACF = [legACF ; (varargin(iter) + ': ACF')];
end
scf();//0
plot2d(k, Pr, [grphColors]);
hl=legend(legDistrib);
xtitle("Рапределение вероятностей траффиков");
xgrid();
scf();//1
plot2d(k_ACF, R, [grphColors]);
h2=legend(legACF);
xtitle("АКФ траффиков");
xgrid();
endfunction
//Функция вывода графиков одномерного распределения скорости источников из *_profile.xml файлов
//Переменное число парметров (переменное количество входных файлов)
function drawingSpeedDistr(varargin)
//СЧИТЫВАНИЕ ПАРАМЕТРОВ
[lhs, rhs] = argn();// rhs - количество входных параметров
if (rhs < 1) then
error(msprintf("drawingSpeedDistr: Ожидалось один или более параметров (имён файлов)"));
end
//Нахождение максимального значения k для одномерного распределения среди всех входных файлов
k_MAX = -1;//максимальное значение k из всех файлов
kMax = zeros(rhs, 1);
for iter = 1 : rhs
doc = xmlRead(PATH + varargin(iter));
//<MAXIMAL-SPEED>... сохраняем максимальное k для каждого файла
kMax(iter, 1) = getDoubleFromXml(doc, "//MAXIMAL-SPEED/text()");
k_MAX = max(k_MAX, kMax(iter, 1));
xmlDelete(doc);
end
//Заполнение вектора абсцисс (одного для всех с максимальной длиной) и заполнение нулями векторов ординат для каждого файла свой (и тоже они все максимальной длины, среди длин из разных файлов)
k = zeros(k_MAX + 1, 1);//количество пакетов в системе (для одномерного распределения) от 0 до k_MAX
for i = 1 : (k_MAX + 1)
k(i,1) = i-1;
end
Pr = zeros(k_MAX + 1, rhs);//<MAXIMAL-SPEED>... для rhs разных файлов
//Чтение значений ординат для векторов
for iter = 1 : rhs
doc = xmlRead(PATH + varargin(iter));
//Чтение одномерного распределения
strVec = getStrVector(doc, "//SPEED-DISTRIBUTION/text()", kMax(iter) + 1);
for i = 1 : (kMax(iter) + 1)
Pr(i,iter) = strtod(strVec(i));// парсинг значений
end
xmlDelete(doc);
end
//Запись различных цветов для графиков и легенды
grphColors = [3];//запись цветов для графиков
legDistrib = [varargin(1) + ': SPEED-DISTRIBUTION'];//запись легенды для графиков одномерного распределения
for iter = 2 : rhs
grphColors = [grphColors (grphColors(iter-1)+2)];
legDistrib = [legDistrib ; (varargin(iter) + ': SPEED-DISTRIBUTION')];
end
scf();//0
plot2d(k, Pr, [grphColors]);
hl=legend(legDistrib);
xtitle("Распределение скорости источников");
xgrid();
endfunction
function drawAllSpeedDistrib(folder)
PATH = PATH + folder + '\';
xmlFiles = getAppropriateFiles("*_profile.xml");
xmlFiles = invert(xmlFiles);
printf("Список фалов для скорости источников: "); disp(xmlFiles);
printf("\n");
count = size(xmlFiles, 'r');
for i = 1 : count
drawingSpeedDistr(xmlFiles(i));
end
endfunction
//Функция вывода гостограмм трафика из файлов *_traffic.xml файлов
//Переменное число парметров (переменное количество входных файлов)
function drawTrafficHistograms(varargin)
//СЧИТЫВАНИЕ ПАРАМЕТРОВ
[lhs, rhs] = argn();// rhs - количество входных параметров
if (rhs < 1) then
error(msprintf("drawTrafficHistograms: Ожидалось один или более параметров (имён файлов)"));
end
//Нахождение максимального значения k для ГИСТОГРАММ среди всех входных файлов
k_MAX = -1;//максимальное значение k из всех файлов
kMax = zeros(rhs, 1);
widthOfCell = -1;
for iter = 1 : rhs
doc = xmlRead(PATH + varargin(iter));
//<NUM-HIST-CELLS-FOR-TRAFFIC>... сохраняем максимальное k для каждого файла
kMax(iter, 1) = getDoubleFromXml(doc, "//NUM-HIST-CELLS-FOR-TRAFFIC/text()");
k_MAX = max(k_MAX, kMax(iter, 1));
//если ширина ячейки в очередном файле отличается от предыдущего, то ошибка
if (widthOfCell <> -1 & widthOfCell <> getDoubleFromXml(doc, "//WIDTH-OF-CELL/text()")) then
error(msprintf("drawTrafficHistograms: различная ширина окна в файлах"));
end
widthOfCell = getDoubleFromXml(doc, "//WIDTH-OF-CELL/text()");
xmlDelete(doc);
end
//Заполнение вектора абсцисс (одного для всех с максимальной длиной) и заполнение нулями векторов ординат для каждого файла свой (и тоже они все максимальной длины, среди длин из разных файлов)
//Для ГИСТОГРАММЫ вектор байт трафика.
k = zeros(k_MAX + 1, 1);
for i = 1 : (k_MAX + 1)
k(i,1) = (i-1) * widthOfCell;
//k(i,1) = ((i-1) + i) * widthOfCell / 2;//середины ячеек
end
Pr = zeros(k_MAX + 1, rhs);//<NUM-HIST-CELLS-FOR-TRAFFIC>... для rhs разных файлов
//Чтение значений ординат для векторов
for iter = 1 : rhs
doc = xmlRead(PATH + varargin(iter));
//Чтение ГИСТОГРАММЫ
strVec = getStrVector(doc, "//HIST-POINTS/text()", kMax(iter) + 1);
for i = 1 : (kMax(iter) + 1)
Pr(i,iter) = strtod(strVec(i));// парсинг значений
end
xmlDelete(doc);
end
//Запись различных цветов для графиков и легенды
grphColors = [3];//запись цветов для графиков
legDistrib = varargin(1) + ': HIST-POINTS';//запись легенд
for iter = 2 : rhs
grphColors = [grphColors (grphColors(iter-1)+2)];
legDistrib = legDistrib + '@' + varargin(iter) + ': HIST-POINTS';
end
clf();
//bar(k, Pr);//для этого графика нужны середины ячеек
plot2d2(k, Pr, [grphColors], nax=[0, (k_MAX+1)/8+1, 0, 11], leg = legDistrib);
plot2d3(k ,Pr, [grphColors], nax=[0, (k_MAX+1)/8+1, 0, 11], leg = legDistrib);
xtitle("Гистограммы размера пакетов (ширина столбца = " + string(widthOfCell) + " байт)");
xgrid();
endfunction
//Функция вывода гистограмм задержек из файлов *_jitter.xml файлов
//Переменное число параметров (переменное количество входных файлов)
//ДИАПАЗОНЫ ГИСТОГРАММ ДОЛЖНЫ БЫТЬ ОДИНАКОВЫ!!!
function drawAllJitterHistogramms(varargin)
//СЧИТЫВАНИЕ ПАРАМЕТРОВ
[lhs, rhs] = argn();// rhs - количество входных параметров
if (rhs < 1) then
error(msprintf("drawAllJitterHistograms: Ожидалось один или более параметров (имён файлов)"));
end
//Нахождение максимального значения k для ГИСТОГРАММ среди всех входных файлов
k_MAX = -1;//максимальное значение k из всех файлов
kMax = zeros(rhs, 1);
widthOfCell = -1;
leftBound = -1;
for iter = 1 : rhs
doc = xmlRead(PATH + varargin(iter));
kMax(iter, 1) = getDoubleFromXml(doc, "//NUM-HIST-CELLS/text()");//take element from <NUM-HIST-CELLS> ...</>
k_MAX = max(k_MAX, kMax(iter, 1));
//если ширина ячейки в очередном файле отличается от предыдущего, то ошибка
if (widthOfCell <> -1 & widthOfCell <> getDoubleFromXml(doc, "//WIDTH-OF-CELL/text()")) then
error(msprintf("drawAllJitterHistograms: различная ширина окна в файлах"));
end
widthOfCell = getDoubleFromXml(doc, "//WIDTH-OF-CELL/text()");
strVec = getStrVector(doc, "//RANGE/text()", 2);//take element from <RANGE> ...</>
if (leftBound <> -1 & leftBound <> strtod(strVec(1))) then
error(msprintf("drawAllJitterHistograms: различная левая граница в файлах"));
end
leftBound = strtod(strVec(1));
xmlDelete(doc);
end
//Заполнение вектора абсцисс (одного для всех с максимальной длиной) и заполнение нулями векторов ординат для каждого файла свой (и тоже они все максимальной длины, среди длин из разных файлов)
t = zeros(k_MAX);
t(1) = (leftBound + (leftBound + widthOfCell))/2;
for i = 2 : k_MAX
t(i) = t(i-1) + widthOfCell;//середины ячеек
end
hist = zeros(k_MAX, rhs);//<PDFVALUES>... для rhs разных файлов
//Чтение значений ординат для векторов
for iter = 1 : rhs
doc = xmlRead(PATH + varargin(iter));
//Чтение ГИСТОГРАММЫ
strVec = getStrVector(doc, "//PDF-VALUES/text()", kMax(iter));//take vakues <PDFVALUES>...</>
for i = 1 : kMax(iter)
hist(i,iter) = strtod(strVec(i));// парсинг значений
end
xmlDelete(doc);
end
//Запись различных цветов для графиков и легенды
grphColors = [3];//запись цветов для графиков
legDistrib = [varargin(1) + ': PDF-VALUES'];//запись легенд
for iter = 2 : rhs
grphColors = [grphColors (grphColors(iter-1)+2)];
legDistrib = [legDistrib ; (varargin(iter) + ': PDF-VALUES') ];
end
clf();
bar(t, hist);//для этого графика нужны середины ячеек
hl=legend(legDistrib);
xtitle("Гистограмма задержки пакетов (ширина столбца = " + string(widthOfCell) + " сек.");
xgrid();
endfunction
function drawAllJitterPolygons(varargin)
//СЧИТЫВАНИЕ ПАРАМЕТРОВ
[lhs, rhs] = argn();// rhs - количество входных параметров
if (rhs < 1) then
error(msprintf("drawAllJitterHistograms: Ожидалось один или более параметров (имён файлов)"));
end
//Нахождение максимального значения k для ГИСТОГРАММ среди всех входных файлов
k_MAX = -1;//максимальное значение k из всех файлов
kMax = zeros(rhs, 1);
widthOfCell = -1;
leftBound = -1;
for iter = 1 : rhs
doc = xmlRead(PATH + varargin(iter));
kMax(iter, 1) = getDoubleFromXml(doc, "//NUM-HIST-CELLS/text()");//take element from <NUM-HIST-CELLS> ...</>
k_MAX = max(k_MAX, kMax(iter, 1));
//если ширина ячейки в очередном файле отличается от предыдущего, то ошибка
if (widthOfCell <> -1 & widthOfCell <> getDoubleFromXml(doc, "//WIDTH-OF-CELL/text()")) then
error(msprintf("drawAllJitterHistograms: различная ширина окна в файлах"));
end
widthOfCell = getDoubleFromXml(doc, "//WIDTH-OF-CELL/text()");
strVec = getStrVector(doc, "//RANGE/text()", 2);//take element from <RANGE> ...</>
if (leftBound <> -1 & leftBound <> strtod(strVec(1))) then
error(msprintf("drawAllJitterHistograms: различная левая граница в файлах"));
end
leftBound = strtod(strVec(1));
xmlDelete(doc);
end
//Заполнение вектора абсцисс (одного для всех с максимальной длиной) и заполнение нулями векторов ординат для каждого файла свой (и тоже они все максимальной длины, среди длин из разных файлов)
t = zeros(k_MAX);
t(1) = (leftBound + (leftBound + widthOfCell))/2;
for i = 2 : k_MAX
t(i) = t(i-1) + widthOfCell;//середины ячеек
end
hist = zeros(k_MAX, rhs);//<PDFVALUES>... для rhs разных файлов
//Чтение значений ординат для векторов
for iter = 1 : rhs
doc = xmlRead(PATH + varargin(iter));
//Чтение ГИСТОГРАММЫ
strVec = getStrVector(doc, "//PDF-VALUES/text()", kMax(iter));//take vakues <PDFVALUES>...</>
for i = 1 : kMax(iter)
hist(i,iter) = strtod(strVec(i));// парсинг значений
end
xmlDelete(doc);
end
//Запись различных цветов для графиков и легенды
grphColors = [3];//запись цветов для графиков
legDistrib = [varargin(1) + ': PDF-VALUES'];//запись легенд
for iter = 2 : rhs
grphColors = [grphColors (grphColors(iter-1)+2)];
legDistrib = [legDistrib ; (varargin(iter) + ': PDF-VALUES') ];
end
clf ();
plot2d(t, hist, [grphColors]);
hl=legend(legDistrib);
xtitle("Полигоны гистограмм для задержки пакетов (ширина столбца = " + string(widthOfCell) + " сек.");
xgrid();
endfunction
//Функция вывода полигона гистограммы трафика из ОДНОГО файла *_jitter.xml файлов
function drawJitterPolygon(filename)
doc = xmlRead(PATH + filename);
numHistCells = getDoubleFromXml(doc, "//NUM-HIST-CELLS/text()");//take element from <NUM-HIST-CELLS> ...</>
widthOfCell = getDoubleFromXml(doc, "//WIDTH-OF-CELL/text()");//take element from <WIDTH-OF-CELL> ...</>
x = zeros(numHistCells);//абсциссы - средние значения интервалов гистограммы
strVec = getStrVector(doc, "//CELL-CENTER-POINTS/text()", numHistCells);//take vakues <CELL-CENTER-POINTS>...</>
for i = 1 : numHistCells
x(i) = strtod(strVec(i));// парсинг значений
end
y = zeros(numHistCells);//ординаты - значения гистограммы
strVec = getStrVector(doc, "//PDF-VALUES/text()", numHistCells);//take vakues <PDF-VALUES>...</>
for i = 1 : numHistCells
y(i) = strtod(strVec(i));// парсинг значений
end
plot2d(x, y, 5);
hl=legend(filename + ": PDF VALUES");
xtitle("Полигон гистограммы задержки пакетов (ширина столбца = " + string(widthOfCell) + " сек.");
xgrid();
endfunction
function drawAllJitterACF(varargin)
//СЧИТЫВАНИЕ ПАРАМЕТРОВ
[lhs, rhs] = argn();// rhs - количество входных параметров
if (rhs < 1) then
error(msprintf("drawAllJitterACF: Ожидалось один или более параметров (имён файлов)"));
end
//Нахождение максимального значения k для АКФ среди всех входных файлов
k_MAX_ACF = -1;
kMax_ACF = zeros(rhs, 1);
for iter = 1 : rhs
doc = xmlRead(PATH + varargin(iter));
kMax_ACF(iter, 1) = getDoubleFromXml(doc, "//ACF-RANGE/text()");
k_MAX_ACF = max(k_MAX_ACF, kMax_ACF(iter, 1))
xmlDelete(doc);
end
//Заполнение вектора абсцисс
k_ACF = zeros(k_MAX_ACF, 1);//отсчёты времени для АКФ от 0 до k_MAX_ACF-1
for i = 1 : (k_MAX_ACF)
k_ACF(i,1) = i-1;
end
R = zeros(k_MAX_ACF, rhs);//<ACF-VALUES> ... для rhs разных файлов
//Чтение значений ординат для векторов
for iter = 1 : rhs
doc = xmlRead(PATH + varargin(iter));
strVec_ACF = getStrVector(doc, "//ACF-VALUES/text()", kMax_ACF(iter));
for i = 1 : kMax_ACF(iter)
R(i,iter) = strtod(strVec_ACF(i));
end
xmlDelete(doc);
end
//Запись различных цветов для графиков и легенды
grphColors = [3];
legACF = [varargin(1) + ': ACF'];
for iter = 2 : rhs
grphColors = [grphColors (grphColors(iter-1)+2)];
legACF = [legACF ; (varargin(iter) + ': ACF')];
end
scf();
plot2d(k_ACF, R, [grphColors]);
hl=legend(legACF);
xtitle("График АКФ джиттера");
xgrid();
endfunction
function drawQueueSizeGraphic(varargin)
//СЧИТЫВАНИЕ ПАРАМЕТРОВ
[lhs, rhs] = argn();// rhs - количество входных параметров
if (rhs < 1) then
error(msprintf("drawQueueSizeGraphic: Ожидалось один или более параметров (имён файлов)"));
end
//Нахождение максимального значения rightBound среди всех входных файлов
sizeOfVector_MAX = -1;//максимальное значение rightBound из всех файлов
leftBound = -1;
sizeOfVector = zeros(rhs, 1);
minTimeSlot = -1;
for iter = 1 : rhs
doc = xmlRead(PATH + varargin(iter));
//если левая граница диапазона в очередном файле отличается от предыдущего, то ошибка
range_ = getStrVector(doc, "//RANGE/text()", 2);
if (leftBound <> -1 & leftBound <> strtod(range_(1))) then
error(msprintf("drawQueueSizeGraphic: различная левая граница в файлах"));
end
leftBound = strtod(range_(1));
//если минимальный временной слот в очередном файле отличается от предыдущего, то ошибка
if (minTimeSlot <> -1 & minTimeSlot <> getDoubleFromXml(doc, "//GRAPHIC-TIME-SLOT/text()")) then
error(msprintf("drawAllJitterHistograms: различный минимальный временной слот в файлах"));
end
minTimeSlot = getDoubleFromXml(doc, "//GRAPHIC-TIME-SLOT/text()");
sizeOfVector(iter, 1) = getDoubleFromXml(doc, "//SIZE-OF-VECTOR/text()");
sizeOfVector_MAX = max(sizeOfVector_MAX, sizeOfVector(iter, 1));
xmlDelete(doc);
end
//Чтение значений абсциссы для векторов (из первого файла, предполагая что абсциссы одинаковы во всех файлах (ПРОВЕРЯТЬ ВРУЧНУЮ)).
//ЕСЛИ ЭТО НЕ ТАК, ТО ПОЛЬЗОВАТЬСЯ МЕТОДОМ ДЛЯ НЕСКОЛЬКИХ ФАЙЛОВ ОДНОВРЕМЕННО НЕЛЬЗЯ!!!
timePoints = zeros(sizeOfVector_MAX, 1);
doc = xmlRead(PATH + varargin(1));
strVec = getStrVector(doc, "//TIME-POINTS/text()", sizeOfVector_MAX);
for i = 1 : sizeOfVector_MAX
timePoints(i, 1) = strtod(strVec(i));// парсинг значений
end
xmlDelete(doc);
//Чтение значений ординат для векторов
sizePoints = zeros(sizeOfVector_MAX, rhs);
for iter = 1 : rhs
doc = xmlRead(PATH + varargin(iter));
strVec = getStrVector(doc, "//SIZE-POINTS/text()", sizeOfVector(iter));
for i = 1 : sizeOfVector(iter)
sizePoints(i, iter) = strtod(strVec(i));// парсинг значений
end
xmlDelete(doc);
end
//Запись различных цветов для графиков и легенды
grphColors = [3];//запись цветов для графиков
legenda = [varargin(1) + ': SIZE-OF-VECTOR = ' + string(sizeOfVector(1, 1))];
for iter = 2 : rhs
grphColors = [grphColors (grphColors(iter-1)+2)];
legenda = [legenda ; (varargin(iter) + ': SIZE-OF-VECTOR = ' + string(sizeOfVector(iter, 1)))];
end
scf();//0
plot2d(timePoints, sizePoints, [grphColors]);
hl=legend(legenda);
xtitle("График размера очереди/буфера. Минимальный размер отсчётов: " + string(minTimeSlot) + " сек.");
xgrid();
endfunction
//----------------------------------Jitter Statistics---------------------------
//рисует графики зависимости вероятности НЕСГЛАЖЕННОГО джиттера от FIRST-DELAY
function drawJitterProbByDelay(varargin)
//СЧИТЫВАНИЕ ПАРАМЕТРОВ
[lhs, rhs] = argn();// rhs - количество входных параметров
if (rhs < 1) then
error(msprintf("drawJitterProbByDelay: Ожидалось один или более параметров (имён папок)"));
end
scf();//0
legenda = [];
for iter = 1 : rhs
[firstDelaysRelative, numOfQueues, bufferSize, withCounterReset, Probabilities] = getInfoForGraphic(varargin(iter));
plot2d(firstDelaysRelative, Probabilities, (1 + 2 * iter));
legenda = [legenda ; (varargin(iter) + ": Число узлов = " + string(numOfQueues(1))) ];
end
hl=legend(legenda);
xtitle("График вероятности не сглаженного джиттера в зависимости от первой задержки");
xgrid();
endfunction
//рисует графики зависимости вероятности НЕСГЛАЖЕННОГО джиттера от FIRST-DELAY
function drawJitterProbByBufSize(varargin)
//СЧИТЫВАНИЕ ПАРАМЕТРОВ
[lhs, rhs] = argn();// rhs - количество входных параметров
if (rhs < 1) then
error(msprintf("drawJitterProbByDelay: Ожидалось один или более параметров (имён папок)"));
end
scf();//0
legenda = [];
for iter = 1 : rhs
[firstDelaysRelative, numOfQueues, bufferSize, withCounterReset, Probabilities] = getInfoForGraphic(varargin(iter));
disp(bufferSize);
disp(Probabilities);
plot2d(bufferSize, Probabilities, (1 + 2 * iter));
legenda = [legenda ; (varargin(iter) + ": N = " + string(numOfQueues(1)) + ", FD = " + string(firstDelaysRelative(1)) + ", WithCReset = " + string(withCounterReset(1))) ];
end
hl=legend(legenda);
xtitle("График вероятности не сглаженного джиттера в зависимости от РАЗМЕРА БУФЕРА");
xgrid();
endfunction
//рисует графики зависимости вероятности НЕ СГЛАЖЕННОГО джиттера от NUMBER-OF-COMPOUND-QUEUES
function drawJitterProbByQueueNum(varargin)
//СЧИТЫВАНИЕ ПАРАМЕТРОВ
[lhs, rhs] = argn();// rhs - количество входных параметров
if (rhs < 1) then
error(msprintf("drawJitterProbByDelay: Ожидалось один или более параметров (имён папок)"));
end
scf();//0
legenda = [];
for iter = 1 : rhs
[firstDelaysRelative, numOfQueues, bufferSize, withCounterReset, Probabilities] = getInfoForGraphic(varargin(iter));
plot2d(numOfQueues, Probabilities, (1 + 2 * iter));
legenda = [legenda ; (varargin(iter) + ": Величина первой задержки = " + string(firstDelaysRelative(1)) + " ms.")];
end
hl=legend(legenda);
xtitle("График вероятности не сглаженного джиттера в зависимоти от количества узлов");
xgrid();
endfunction
//Функция считывающая необходимые скалярные величины из ВСЕХ файлов типа *_JitterAfterBuffer.xml в УКАЗАННОЙ ПАПКЕ
function [firstDelaysRelative, numOfQueues, bufferSize, withCounterReset, Probabilities] = getInfoForGraphic(folder)
TMP_PATH = PATH + folder + '\';
cd(TMP_PATH);
xmlFiles = ls("*_JitterAfterBuffer.xml");
xmlFiles = invert(xmlFiles);
printf("Список фалов: ");
disp(xmlFiles);
printf("\n");
fileCount = size(xmlFiles, 1);
if (fileCount < 1) then
error(msprintf("processAllFiles: нет файлов для обработки"));
end
firstDelaysRelative = zeros(fileCount, 1);
numOfQueues = zeros(fileCount, 1);
bufferSize = zeros(fileCount, 1);
withCounterReset = zeros(fileCount, 1);
Probabilities = zeros(fileCount, 1);
for i = 1 : fileCount
doc = xmlRead(TMP_PATH + xmlFiles(i));
firstDelaysRelative(i) = getDoubleFromXml(doc, "//FIRSTDELAY-DIV-INTERTIME/text()");
numOfQueues(i) = getDoubleFromXml(doc, "//NUMBER-OF-COMPOUND-QUEUES/text()");
bufferSize(i) = getDoubleFromXml(doc, "//BUFFER-SIZE/text()");
withCounterReset(i) = getDoubleFromXml(doc, "//WITH-COUNTER-RESET/text()");
Probabilities(i) = getDoubleFromXml(doc, "//PROBABILITY-OF-UNSMOOTHED-JITTER/text()");
end
endfunction
//Инвертируем массив-столбец
function [invX] = invert(x)
n = size(x, 'r');
invX = [];
for (i = 1 : n )
invX = [invX ; x(n - i + 1)];
end
endfunction
//---------------------------------------------------------------------------------------------------------------------
//Функция для расчёта S(x,y) для последующего построения графика
FIT_POINTS = 4; //early was 4 !!!
IMAX = 100;
function [h] = differ(x, y, H, nacf)
i = 0; k = 0; n = 0; imax = 0;
//индексы массивов начинаются с 1, поэтому некоторые изменения в коде, относительно С++ого
s = 0; s2 = 0; ss = zeros(1, FIT_POINTS); nr = zeros(1, FIT_POINTS); alpha=4-2*H;
h = (2+x)^(-alpha);
s = h;
n = 3;
while (h/s > 1.e-6)
h = (n+x)^(-alpha);
s = s + h;
n = n + 1;
end
imax = n;
s2 = s;
ss(1, 1) = s;
i = 2;
while (i <= IMAX & i < imax)
s = s - (i+x)^(-alpha);
for k = 1 : FIT_POINTS
if i>=k then
ss(1, k) = ss(1, k) + s;
end
end
i = i + 1;
end
h = 0;
for k = 1 : FIT_POINTS
nr(1, k) = (1-y)*ss(1, k)/( s2+(1-y)*ss(1, 1) );
h = h + (nacf(1, k+1) - nr(1, k))^2;
k = k + 1;
end
endfunction
function main()
//Считывание параметра H и значений АКФ
doc_new = xmlRead(PATH + "FromFile_traffic.xml");
xmlList_new = xmlXPath(doc_new, "//HURST/text()");//take element from <HURST> ...</>
H = strtod(xmlList_new(1).content);//Hurst parametr
acfRange_str = xmlXPath(doc_new, "//ACF-RANGE/text()");
acfRange = strtod(acfRange_str(1).content);
xmlList_new = xmlXPath(doc_new, "//ACF-VALUES/text()");
acfValues_str_new = xmlList_new(1).content;
strVec_ACF_new = strsplit(acfValues_str_new(1), " ", acfRange);//разделение одной большой строки на массив строк со значениями
nacf = zeros(1, acfRange);//Vector of ACF's values
for k = 1 : acfRange
nacf(1, k) = strtod(strVec_ACF_new(k));
end
//Построение графика
x = [-1.9 : 0.1 : 10]'; //должно выполнятся x>-2
y = [0 : 0.001 : 1]'; // 0 <= y <= 1
sizeX = size(x, 1);
sizeY = size(y, 1);
S = zeros(sizeX, sizeY);
for i = 1 : sizeX
for j = 1 : sizeY
S(i,j) = differ(x(i), y(j), H, nacf);
end
end
plot3d(x, y, S, leg = "X@Y@Z");
endfunction
|
33698af4ae1f999cd1e2651d4d804dad3c2a28aa | ebd6f68d47e192da7f81c528312358cfe8052c8d | /swig/Examples/test-suite/scilab/default_args_runme.sci | 15754fdfd849f6a5a8b16238f291134294d53a87 | [
"LicenseRef-scancode-swig",
"GPL-3.0-or-later",
"LicenseRef-scancode-unknown-license-reference",
"GPL-3.0-only",
"Apache-2.0"
] | permissive | inishchith/DeepSpeech | 965ad34d69eb4d150ddf996d30d02a1b29c97d25 | dcb7c716bc794d7690d96ed40179ed1996968a41 | refs/heads/master | 2021-01-16T16:16:05.282278 | 2020-05-19T08:00:33 | 2020-05-19T08:00:33 | 243,180,319 | 1 | 0 | Apache-2.0 | 2020-02-26T05:54:51 | 2020-02-26T05:54:50 | null | UTF-8 | Scilab | false | false | 2,371 | sci | default_args_runme.sci | exec("swigtest.start", -1);
checkequal(anonymous(), 7771, "anonymous()");
checkequal(anonymous(1234), 1234, "anonymous(1234)");
checkequal(booltest(), %T, "booltest()");
checkequal(booltest(%T), %T, "booltest(%T)");
checkequal(booltest(%F), %F, "booltest(%T)");
ec = new_EnumClass();
checkequal(EnumClass_blah(ec), %T, "EnumClass_blah(ec)");
checkequal(casts1(), [], "casts1()");
checkequal(casts1("Ciao"), "Ciao", "casts1(""Ciao"")");
checkequal(casts2(), "Hello", "casts2()");
checkequal(chartest1(), 'x', "chartest1()");
checkequal(chartest2(), '', "chartest2()");
checkequal(chartest1('y'), 'y', "chartest1(''y'')");
checkequal(reftest1(), 42, "reftest1()");
checkequal(reftest1(400), 400, "reftest1(400)");
checkequal(reftest2(), "hello", "reftest2()");
// Rename
f = new_Foo();
Foo_newname(f);
Foo_newname(f, 10);
Foo_renamed3arg(f, 10, 10.0);
Foo_renamed2arg(f, 10);
Foo_renamed1arg(f);
delete_Foo(f);
// Static functions
checkequal(Statics_staticmethod(), 10+20+30, "Statics_staticmethod()");
checkequal(Statics_staticmethod(100), 100+20+30, "Statics_staticmethod(100)");
checkequal(Statics_staticmethod(100, 200, 300), 100+200+300, "Statics_staticmethod(100, 200, 300)");
tricky = new_Tricky();
checkequal(Tricky_privatedefault(tricky), 200, "Tricky_privatedefault(tricky)");
checkequal(Tricky_protectedint(tricky), 2000, "Tricky_protectedint(tricky)");
checkequal(Tricky_protecteddouble(tricky), 987.654, "Tricky_protecteddouble(tricky)");
checkequal(Tricky_functiondefault(tricky), 500, "Tricky_functiondefault(tricky)");
checkequal(Tricky_contrived(tricky), 'X', "Tricky_contrived(tricky)");
delete_Tricky(tricky);
// Default argument is a constructor
k = constructorcall();
checkequal(Klass_val_get(k), -1, "Klass_constructorcall()");
delete_Klass(k);
k = constructorcall(new_Klass(2222));
checkequal(Klass_val_get(k), 2222, "Klass_constructorcall(new Klass(2222)");
delete_Klass(k);
k = constructorcall(new_Klass());
checkequal(Klass_val_get(k), -1, "Klass_constructorcall(new_Klass()");
delete_Klass(k);
// Const methods
cm = new_ConstMethods();
checkequal(ConstMethods_coo(cm), 20, "ConstMethods_coo()");
checkequal(ConstMethods_coo(cm, 1.0), 20, "ConstMethods_coo(1.0)");
// C linkage (extern "C")
checkequal(cfunc1(1), 2, "cfunc1(1)");
checkequal(cfunc2(1), 3, "cfunc2(1)");
checkequal(cfunc3(1), 4, "cfunc3(1)");
exec("swigtest.quit", -1);
|
89f73879c75a9bfc8861183aa4cc44f22ead6316 | 449d555969bfd7befe906877abab098c6e63a0e8 | /40/CH3/EX3.27/Exa_3_27.sce | bfe72d463e9aff4ed3c555667163cf40c064d2b6 | [] | 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 | 138 | sce | Exa_3_27.sce | //to find periodic extension
x=[1 5 2;0 4 3;6 7 0];
y=[0 0 0];
for i=1:3
for j=1:3
y(i)=y(i)+x(j,i);
end
end
y
|
99f163a4afc8b516581912a333b6413d8339eead | 449d555969bfd7befe906877abab098c6e63a0e8 | /2258/CH1/EX1.2/1_2.sce | feec367e7463d57db5de5aac5649c8035fe72b73 | [] | 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 | 253 | sce | 1_2.sce | clc();
clear;
// To calculate the de Broglie wavelength of an electron
V=400; //potential in Volts
lamda=12.56/sqrt(V); //de Broglie wavelength
printf("The de Broglie wavelength is %f Armstrong",lamda);
//answer given in the book is wrong
|
5b301d1ef5b17e50f651f8f6885206cc8c31d0a5 | 449d555969bfd7befe906877abab098c6e63a0e8 | /695/CH1/EX1.9/ex1_9.sce | 55b3d1d1b29890ac384b2cbe892942a09e7376ce | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 294 | sce | ex1_9.sce | //Chapter:1:Introduction to electrical Machines
//Caption:Find the emf induced in the coil
//Exa:1.9
clc;
clear;
close;
N=800;//No.of turns
Phy_1=2000*10^-6;//In Webers
Phy_2=1000*10^-6;//In Webers
t=0.1;//in seconds
e=N*(Phy_1-Phy_2)/t;
disp(e,'Emf induced in the coil (in volts)=') |
e6a24c257b631c67578eb119971534afbf7de019 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2528/CH6/EX6.5/Ex6_5.sce | 6bc6ee7f730dd6e2c298f1d4133c276ba7f45bfa | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 510 | sce | Ex6_5.sce | //Example6.5:"OTA use"
//Page 191
//figure 6.22
clear;
clc;
Vp=5; //in V
Vm=-Vp;
Rcontrol=22000; //In Ohm
Vd=0.7; //in V
Iabc=(Vp-Vm-Vd)/Rcontrol;
disp("A",Iabc,"Iabc");
//Using voltage divider
Loss=470/(33000+470);
disp(Loss,"Loss");
Vpp=0.050; //in V
Vinmax=Vpp/Loss;
disp("V",Vinmax,"Vinmax");
gm=0.010; //in S
Iout=Vpp*gm;
disp("A",Iout,"Iout");
//maximum output
Rf=22000; //in Ohm
Vout=Iout*Rf;
disp("V",Vout,"Vout");
//result//
|
fe44cf1dd1fccdd68ef19766c9911feaf829d5f2 | 3a120b2b8c8c5df64042b7c18b2bf4e533cef21d | /txt.tst | 82bddccb122e8d90b8ce48b02ec9e3e355c60fc4 | [] | no_license | jinyanwang/mytext | 255dda597015f5cf9e1aad531d6febca992fd7c9 | 6433d3f7ce2541dd59e2f9af98ddecbe4be7369e | refs/heads/master | 2020-05-19T18:46:19.833648 | 2015-03-16T11:20:06 | 2015-03-16T11:20:06 | 32,319,779 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 56 | tst | txt.tst | 这时项目中的第一个文件！！！！！！！11 |
bbc585bb83237b4936d9ef4ace32c8b0d55aa02c | 449d555969bfd7befe906877abab098c6e63a0e8 | /3392/CH6/EX6.2/Ex6_2.sce | 42b05d520a1d750d96f30e85a9a15a04fd4054ad | [] | 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 | 772 | sce | Ex6_2.sce | clc
// initialization of variables
clear
T=113 //Nm
L1=1 //m
L2=1.27 //m
Y=414 //MPa
G=77 //GPa
SF=2
// part (a)
T1=T*2
T2=T
Y=Y*10^6
G=G*10^9
tau_max=0.25*Y
r1=(2*T1/(%pi*tau_max))^(1/3)
d1=2*r1
r2=(2*T2/(%pi*tau_max))^(1/3)
d2=2*r2
inch=25.4 //mm
printf(' part (a) \n')
printf(' d1 = %.2f mm d2 = %.2f mm',d1*10^3,d2*10^3)
printf('\n Since the dimensons are not standard, we choose d1 = %.1f mm and d2 = %.2f mm',inch,0.75*inch)
// part (b)
d1=inch*10^-3
r1=d1/2
d2=0.75*inch*10^-3
r2=d2/2
J1=%pi*r1^4/2
th1=T1/(G*J1)
J2=%pi*r2^4/2
th2=T2/(G*J2)
beta_c=L1*th1+L2*th2
bet_deg=beta_c*180/%pi
printf('\n part (b)')
printf('\n The angle of twist = %.3f rad = %.1f degrees',beta_c,bet_deg)
// Change is answer for US people convenience
|
8dd07f1aee687247b80a1ea019595dd7d65ad9e7 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3754/CH4/EX4.12/4_12.sce | 038a4e6863c21a3fc84a6f60e346ff3c7ddf7661 | [] | 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 | 205 | sce | 4_12.sce | clear//
//Variables
R1=10;R2=10;
//Calculation
Req = R1*R2 / (R1 + R2) //Equivalent Resistance (in kilo-ohm)
//Result
printf("\n The equivalent resistance is %0.3f kilo-ohm.",Req)
|
b8b257329ac94121e8e277e2445deaacee419c01 | c63bae8282ad1f43128bf6da8802477b6b40a3bf | /functions and methods/budget_completion_test.tst | 41ba933eb1e448119bb6107e18e0f0a743925c4d | [] | no_license | eithansegall/150225-5781-Databases | 0ec12f7c30e02f304444067382209e6a15815a60 | 93e1e6570a6cb387a5d09b07ea32f8bb251ae690 | refs/heads/main | 2023-06-02T02:38:07.976461 | 2021-06-13T15:37:10 | 2021-06-13T15:37:10 | 347,705,680 | 0 | 0 | null | 2021-03-14T17:30:41 | 2021-03-14T17:30:41 | null | UTF-8 | Scilab | false | false | 105 | tst | budget_completion_test.tst | PL/SQL Developer Test script 3.0
4
begin
-- Test statements here
budget_completion;
end;
0
0
|
2072c9df317f733bc95f24adb0deebbeeea37d13 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2510/CH16/EX16.8/Ex16_8.sce | db26f8ad3dabd01dcd00b3fac29a0d5a4f822665 | [] | 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 | 1,102 | sce | Ex16_8.sce | //Variable declaration:
t2 = 75.0 //Temperature of water leaving the shell ( C)
t1 = 35.0 //Temperature of water enteringing the shell ( C)
T2 = 75.0 //Temperature of oil leaving the tube ( C)
T1 = 110.0 //Temperature of oil entering the tube ( C)
m = 1.133 //Mass flowrate of water (kg/s)
cp = 4180.0 //Heat capacity of water (J/kg.K)
F = 0.965 //Correction factor
U = 350.0 //Overall heat transfer coefficient (W/m^2.K)
//Calculation:
Q = m*cp*(t2-t1) //Heat load (W)
DT1 = T1-t2 //Temperature driving force 1 ( C)
DT2 = T2-t1 //Temperature driving force 2 ( C)
DTlm1 = (DT1-DT2)/log(DT1/DT2)+273.0 //Countercurrent log-mean temperature difference (K)
DTlm2 = F*DTlm1 //Corrected log-mean temperature difference (K)
A = Q/(U*DTlm2) //Required heat transfer area (m^2)
//Result:
printf("The required heat-transfer area is : %.3f m^2.",A)
|
3f75f78b0f7160e0d79741350d97c20c5820cf05 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3655/CH2/EX2.4/Ex2_4.sce | 850e1a6e229b6ca3591adeac19f12e7cfdc29c3d | [] | 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 | Ex2_4.sce | // Example 2.4
//computation of (A) minimum speed of electron travelling (B) minimum frequency of photon//
// Page no. 47
clc;
clear;
close;
//Given data
ip=21.5;//ionization potential of neon
e=1.602*10^-19;
m=9.109*10^-31;
v_freespace=2.998*10^8;//velocity of light in free space
planck_const=6.63*10^-34;
//..................................(A)......................................//
//Calculation for velocity of the electron//
v=sqrt((2*ip*e)/m);
//..................................(B)......................................//
//Calculation for wavelength of a photon with energy equal to the ionization potential//
lambda=12400/ip;
//Calculation for frequency of the photon//
f=v_freespace/(lambda*10^-10);
//Calculation for frequency of the photon using alternate method//
f1=(ip*e)/planck_const;
//Displaying the result in command window
printf('\n Velocity of the electron = %0.2f x 10^6 m/sec',v*10^-6);
printf('\n \n Wavelength of a photon with energy equal to the ionization potential = %0.2f A',lambda);
printf('\n \n Frequency of the photon = %0.1f x 10^15 Hz',f*10^-15);
|
9ae3a756b63bfcf6155ef5b2d8aa2217e8f9e310 | be07c1e346737e6e38bb958d9a66f52f6da2180a | /Regression/DATE_UTILITIES/DATE_UTILITIES_W.tst | 012a1510f6c595eff2264c3b2d4b655cb3f0b3a4 | [] | no_license | dpreisser/Training | 1bc8840d646306d861f4c7610a28bb23667f06e5 | 97eb58c7963e4725d6a2ad9e8200ca9367c84061 | refs/heads/master | 2021-01-10T13:03:12.508795 | 2016-04-11T12:49:06 | 2016-04-11T12:49:06 | 54,963,561 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 3,229 | tst | DATE_UTILITIES_W.tst | -- VectorCAST 6.4d (02/29/16)
-- Test Case Script
--
-- Environment : DATE_UTILITIES_W
-- Unit(s) Under Test: date utilities
--
-- Script Features
TEST.SCRIPT_FEATURE:C_DIRECT_ARRAY_INDEXING
TEST.SCRIPT_FEATURE:CPP_CLASS_OBJECT_REVISION
TEST.SCRIPT_FEATURE:MULTIPLE_UUT_SUPPORT
TEST.SCRIPT_FEATURE:MIXED_CASE_NAMES
TEST.SCRIPT_FEATURE:STANDARD_SPACING_R2
TEST.SCRIPT_FEATURE:OVERLOADED_CONST_SUPPORT
TEST.SCRIPT_FEATURE:UNDERSCORE_NULLPTR
TEST.SCRIPT_FEATURE:FULL_PARAMETER_TYPES
TEST.SCRIPT_FEATURE:STATIC_HEADER_FUNCS_IN_UUTS
--
-- Unit: date
-- Subprogram: DateString
-- Test Case: DateString.001
TEST.UNIT:date
TEST.SUBPROGRAM:DateString
TEST.NEW
TEST.NAME:DateString.001
TEST.NOTES:
Author:
Date:
Version:
Requirement:
TEST.END_NOTES:
TEST.VALUE:date.DateString.theYear:2016
TEST.VALUE:date.DateString.theMonth:4
TEST.VALUE:date.DateString.theDay:1
TEST.EXPECTED:date.DateString.return:"April 1, 2016"
TEST.END
-- Unit: utilities
-- Subprogram: ConcatenateStrings
-- Test Case: ConcatenateStrings.001
TEST.UNIT:utilities
TEST.SUBPROGRAM:ConcatenateStrings
TEST.NEW
TEST.NAME:ConcatenateStrings.001
TEST.NOTES:
Author:
Date:
Version:
Requirement:
TEST.END_NOTES:
TEST.VALUE:utilities.ConcatenateStrings.str1:<<malloc 2>>
TEST.VALUE:utilities.ConcatenateStrings.str1:"a"
TEST.VALUE:utilities.ConcatenateStrings.str2:<<malloc 3>>
TEST.VALUE:utilities.ConcatenateStrings.str2:"bc"
TEST.EXPECTED:utilities.ConcatenateStrings.return:"abc"
TEST.END
-- Subprogram: IntegerToString
-- Test Case: IntegerToString.001
TEST.UNIT:utilities
TEST.SUBPROGRAM:IntegerToString
TEST.NEW
TEST.NAME:IntegerToString.001
TEST.NOTES:
Author:
Date:
Version:
Requirement:
TEST.END_NOTES:
TEST.VALUE:utilities.IntegerToString.theInteger:10
TEST.EXPECTED:utilities.IntegerToString.return:"10"
TEST.END
-- Subprogram: MaxDays
-- Test Case: Complete
TEST.UNIT:utilities
TEST.SUBPROGRAM:MaxDays
TEST.NEW
TEST.NAME:Complete
TEST.NOTES:
Author:
Date:
Version:
Requirement:
TEST.END_NOTES:
TEST.VALUE:utilities.MaxDays.theMonth:(3)2,1,4,0
TEST.VALUE:utilities.MaxDays.theYear:2015,2000,(4)2016
TEST.EXPECTED:utilities.MaxDays.return:28,(2)29,31,30,1
TEST.END
-- Test Case: Incomplete1
TEST.UNIT:utilities
TEST.SUBPROGRAM:MaxDays
TEST.NEW
TEST.NAME:Incomplete1
TEST.NOTES:
Author:
Date:
Version:
Requirement:
TEST.END_NOTES:
TEST.VALUE:utilities.MaxDays.theMonth:(2)2,1,4
TEST.VALUE:utilities.MaxDays.theYear:2015,2000,(2)2016
TEST.EXPECTED:utilities.MaxDays.return:28,29,31,30
TEST.END
-- Test Case: Incomplete2
TEST.UNIT:utilities
TEST.SUBPROGRAM:MaxDays
TEST.NEW
TEST.NAME:Incomplete2
TEST.NOTES:
Author:
Date:
Version:
Requirement:
TEST.END_NOTES:
TEST.VALUE:utilities.MaxDays.theMonth:(3)2,1,4
TEST.VALUE:utilities.MaxDays.theYear:2015,2000,(3)2016
TEST.EXPECTED:utilities.MaxDays.return:28,(2)29,31,30
TEST.END
-- Subprogram: TextMonth
-- Test Case: TextMonth.001
TEST.UNIT:utilities
TEST.SUBPROGRAM:TextMonth
TEST.NEW
TEST.NAME:TextMonth.001
TEST.NOTES:
Author:
Date:
Version:
Requirement:
TEST.END_NOTES:
TEST.VALUE:utilities.TextMonth.theMonth:VARY FROM:0 TO:12 BY: 1
TEST.EXPECTED:utilities.TextMonth.return:"","January","February","March","April","May","June","July","August","September","October","November","December"
TEST.END
|
18aec6e782b3a6d343b0a2652bede1a3392734d5 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3773/CH25/EX25.3/Ex25_3.sce | 9113cfc27958ef2061918c171e6d059a5ce764f9 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 735 | sce | Ex25_3.sce |
//Chapter 25: Sky Wave Propagation
//Example 25-5.3
clc;
//Variable Initialization
N_E = 0.8*0.111e12 //Concentration of electrons in E layer (per cubic cm)
N_F1 = 0.8*0.3086e12 //Concentration of electrons in E layer (per cubic cm)
N_F2 = 0.8*1e12 //Concentration of electrons in E layer (per cubic cm)
//Calculations
fE = 9*sqrt(N_E) //Critical frequency in E layer (Hz)
fF1 = 9*sqrt(N_F1) //Critical frequency in F1 layer (Hz)
fF2 = 9*sqrt(N_F2) //Critical frequency in F2 layer (Hz)
//Result
disp(fE,"The Critical frequency in E layer in Hz")
disp(fF1,"The Critical frequency in F1 layer in Hz")
disp(fF2,"The Critical frequency in F2 layer in Hz")
//The difference appearing for fE,fF1 is a result of approximation
|
81f74ad4d20ea3a1f3c53b0a67b9a4536de56a6f | b6bf377ad0dd93166c29119fdaf090d104caf3b7 | / extensiblesimulationofplanetsandcomets --username lasxrcista/Miscellaney/BodyConfigTest.sci | e737b96db8ddb5280c814951a67de9f912477c7c | [] | no_license | tectronics/extensiblesimulationofplanetsandcomets | d69905f0406bf552043dd0e244ea889a55922ef9 | d9d59841d1d177026e60245d3f99c879ee0f8ca0 | refs/heads/master | 2018-01-11T15:15:54.659208 | 2009-07-21T21:22:33 | 2009-07-21T21:22:33 | 47,740,385 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 698 | sci | BodyConfigTest.sci | //include the configuration file here, so we can actually access the values.
//Read in the values as a two dimensional array so we can keep everything
//as organized as we can.
exec ('C:\Documents and Settings\Administrator\My Documents\CSCI\Thesis\ThesisProjectSource\BodyConfig.sci');
//getf ('C:\Documents and Settings\Administrator\My Documents\CSCI\CSCI 635\Lab12\GaussEliminationNoPivot.sci');
//readConfigFile('BodyDefinitions/Earth.cfg')
Z = GetAllBodyData()
// m are the rows, n are the columns
[m,n] = size(Z)
//this should be earth's initial x position
//so the first number will be the larger number - the index of which attribute of each body.
xpos = Z(2,1)
|
eff2d959dd59df7ef5dc29423c19fdf9aca069c1 | c49cfb0568cc47def2bab58998cf7a2745deeb75 | /RungeKutta.sce | f388a20cae69aba32cad309b099b4d9ab2ab0b26 | [] | no_license | mirgayazov/Computational-mathematics | 7be950e9c54231943912aa8cc0eba9484b8613ee | 97eb92557308d51709101ba1922ed2bb39a0e08f | refs/heads/master | 2023-05-31T18:16:04.774709 | 2021-07-08T09:18:58 | 2021-07-08T09:18:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 1,458 | sce | RungeKutta.sce | //clc
//--------------РЕШЕНИЕ-ОТ-ЕР--------------
//function w = f(x, y)
// w = y/x
//endfunction
//
//x0=3.1
//y0=3.9
//h=0.2
//x=3.1:h:3.7
//
//z=ode(y0, x0, x, f)
//disp([x; z])
//--------------РЕШЕНИЕ-ОТ-ЕР--------------
//disp('-------------------------------------')
//--------------МОЕ-РЕШЕНИЕ--------------
//x0=0 - y_x0=0.3
//x1=0.2 - y_x1=0.3171896
//x2=0.4 - y_x2=0.3620617
//x3=0.6 - y_x3=0.4356590
//x4=0.8 - y_x4=0.5395359
//h=0.2
function n = f_x0_y_x0(x0, y_x0)
n = y_x0/x0
endfunction
function n = y_x_iPlus1(x0, y_x0, h, f_x0_y_x0, i)
k10 = f_x0_y_x0(x0, y_x0)
// disp('k1'+string(i-1)+'='+string( f_x0_y_x0(x0, y_x0)))
k20 = f_x0_y_x0(x0+(h/2), y_x0+(k10/2))
// disp('k2'+string(i-1)+'='+string( f_x0_y_x0(x0+(h/2), y_x0+(k10/2))))
k30 = f_x0_y_x0(x0+(h/2), y_x0+(k20/2))
// disp('k3'+string(i-1)+'='+string( f_x0_y_x0(x0+(h/2), y_x0+(k20/2))))
k40 = f_x0_y_x0(x0+h, y_x0+k30)
// disp('k4'+string(i-1)+'='+string( f_x0_y_x0(x0+h, y_x0+k30)))
n = y_x0 + 0.2*(k10+2*k20+2*k30+k40)/6
endfunction
function proc()
i = 3
x0 = 3.5
y0 = 4.4725895
h = 0.2
disp('i='+string(i)+': y(x'+string(i)+')='+string(y_x_iPlus1(x0, y0, h, f_x0_y_x0, i))+', [x'+string(i-1)+'='+string(x0)+', y'+string(i-1)+'='+string(y0)+'], теперь x'+string(i)+'='+string(x0+h)+', i='+string(i+1))
endfunction
proc()
//--------------МОЕ-РЕШЕНИЕ--------------
|
e9f41b3c1898e10c9fa424e76c7a3a525844f444 | 449d555969bfd7befe906877abab098c6e63a0e8 | /710/CH2/EX2.1/2_1.sci | 1f2cb619c5828d79ae98da4019f79cf54269f1d9 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 494 | sci | 2_1.sci | clc();
clear;
//To determine the lattice parameter
d=6.5*10^3; //density of silver bromide in Kg/m^3
m=187.8; //molecular weight of silver bromide
M=(4*m)/(6.022*10^26); //mass of ion in unit cell in kg.There are 4molecules per unit cell as it is a fcc diatomic structure
//d=mass of ions in unit cell/volume of unit cell
//6.5*10^3=(1.25*10^-24)/a^3
a=((M/d)^(1/3))*10^10 //lattice parameter
printf("The lattice parameter is %f A",a); |
f77bac2314dfe839ec9efce29a52e86e759d0d41 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2279/CH4/EX4.6/eg_4_6.sce | 19f8fc8b6c747f6dc31f30888e803216f759f852 | [] | 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 | 500 | sce | eg_4_6.sce | //Example 4.6
//Convolution sum of x[n] and h[n]
clc
clear
n=-1:1;
n1=-2:2;
x=[0.5 0.5 0.5];
h=[3 2 1];
y=coeff(poly(h,'z','c')*poly(x,'z','c'))
disp("Convolution of x[n] and h[n] is...")
disp(y)
subplot(3,1,1)
xtitle("input signal x(n)","....................n","x[n]");
plot(n,x,'.');
subplot(3,1,2)
xtitle("system response h(n)","....................n","h[n]");
plot(n,h,'.');
subplot(3,1,3)
xtitle("output signal y(n)",".............................n","y[n]");
plot(n1,y,'.');
|
ddc035830b8022de36d5271f30c746b9c65217d4 | 1573c4954e822b3538692bce853eb35e55f1bb3b | /DSP Functions/allpasslp2lp/test_12.sce | 7046a1a67b5e095bdb625d418c14b4d6e022b6f0 | [] | 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 | 260 | sce | test_12.sce | // Test # 11 : Valid input test case #1
exec('./allpasslp2lp.sci',-1);
[n,d]=allpasslp2lp(0.64,0.12);
disp(d);
disp(n);
//
//Scilab Output
//d =1. -0.7840257
//n =-0.7840257 1.
//Matlab Output
//d = 1.0000 -0.7840
//n = -0.7840 1.0000
|
c5dd3975776c3b190efbf9beac4ddc5935fd7d8d | e0124ace5e8cdd9581e74c4e29f58b56f7f97611 | /3913/CH12/EX12.42/Ex12_42.sce | 1929c938b0fc4139462352774710f4bfaee602c2 | [] | no_license | psinalkar1988/Scilab-TBC-Uploads-1 | 159b750ddf97aad1119598b124c8ea6508966e40 | ae4c2ff8cbc3acc5033a9904425bc362472e09a3 | refs/heads/master | 2021-09-25T22:44:08.781062 | 2018-10-26T06:57:45 | 2018-10-26T06:57:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 252 | sce | Ex12_42.sce | //Chapter 12 : Solutions to the Exercises
//Scilab 6.0.1
//Windows 10
clear;
clc;
//Solution for 9.6
//a
A=[1 2 2;0 2 1;-1 2 2]
eigv=spec(A)
disp(eigv,'eigen values')
//b
B=[0 1 1;0 0 0;1 1 0]
eigv=spec(B)
disp(eigv,'eigen values')
|
5851076d38df3020883b629594e9c42b0a044278 | 1232196a72221f6cc0ee0a9a47111ef1188dafe9 | /sci2blif/rasp_design_added_blocks/ladder_filter.sce | 92047e1ce5f9bc0ea94fe457ec9870fa91984244 | [] | no_license | sumagin/rasp30 | 06dc2ee1587a4eaf3cf5fb992375b8589617f882 | a11dcffaed22dbac1f93c2f4798a48c7b0b1f795 | refs/heads/master | 2021-01-24T23:51:54.459864 | 2016-07-08T22:03:43 | 2016-07-08T22:03:43 | 16,685,217 | 2 | 3 | null | 2015-07-23T15:28:49 | 2014-02-10T05:17:38 | C | UTF-8 | Scilab | false | false | 92 | sce | ladder_filter.sce |
style.displayedLabel="ladder_filter"
pal5=xcosPalAddBlock(pal5,"ladder_filter",[],style);
|
997f6118d40441968a589445414c5b2776931ca4 | 91bba043768342a4e23ee3a4ff1aa52fe67f7826 | /cs/142/4/tests/test25.tst | eae0f1475341ed9e04184f171267dcd27eb58f3c | [] | no_license | MaxNanasy/old-homework | 6beecc3881c953c93b847f1d0d93a64ec991d6de | 48b7997a49a8f111344f30787c178e1661db04bd | refs/heads/master | 2016-09-08T04:37:44.932977 | 2010-03-02T00:48:59 | 2010-03-02T00:48:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 155 | tst | test25.tst | main()
{
var a : int;
const c = 11;
var b : short;
a = 1;
if (b == c + c) { a = 1; }
if (a == a + c) { a = 1; }
if (a == c + c) { a = 1; }
}
|
530ad10f9e05953cdfcdb92e953c7e09bcf06c01 | 449d555969bfd7befe906877abab098c6e63a0e8 | /3137/CH2/EX2.1/Ex2_1.sce | 177483320ece3e02f6839d767be7f443ab982d46 | [] | 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 | 156 | sce | Ex2_1.sce | //Initilization of variables
F=20 //lb
L=4.33 //ft
//Calculation
M=-F*L //lb-ft
//Result
clc
printf('The moment of force F about O is:%f lb-ft',M)
|
bd5ea5721a4b8484753d1402b64400963fe95665 | 089894a36ef33cb3d0f697541716c9b6cd8dcc43 | /NLP_Project/test/tweet/bow/bow.8_1.tst | c5da48c8a0082cdd8e5a89b975048fcfbad95206 | [] | 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 | 25,167 | tst | bow.8_1.tst | 8 4:1.0 12:0.011494252873563218 13:0.2 24:0.5 35:0.1 41:0.25 48:0.3333333333333333 67:2.0 74:0.2 75:0.4 98:0.6666666666666666 122:0.3333333333333333 147:1.0 331:0.3333333333333333 342:1.0 368:1.0 409:0.3333333333333333 510:0.5 588:1.0 615:2.0 712:0.14285714285714285 829:1.0 911:1.0 957:0.3333333333333333 1232:1.0 2131:1.0 2450:1.0 2452:1.0 4084:1.0 4777:1.0 4921:1.0 5579:1.0 6210:1.0 6446:1.0 6586:1.0 7315:1.0 8154:1.0
8 6:1.0 12:0.011494252873563218 24:1.0 41:0.375 53:0.2 67:0.5 194:1.0 337:1.0 522:0.2 578:1.0 712:0.14285714285714285 732:1.0 871:1.0 1111:1.0 1315:1.0 1319:1.0 1680:1.0 1962:1.0 2933:0.5 4084:1.0 4898:1.0 5309:1.0 5393:1.0 5515:1.0 5538:1.0 5542:1.0 7707:1.0
8 12:0.011494252873563218 13:0.2 18:0.125 67:0.5 87:1.0 98:0.6666666666666666 122:0.3333333333333333 124:0.25 322:1.0 344:0.5 368:1.0 398:0.125 1628:0.5 1893:1.0 1943:0.3333333333333333 2463:1.0 4815:1.0 4850:1.0 4987:0.5 5716:1.0 6146:1.0 6416:1.0 8189:1.0
8 1:0.07142857142857142 12:0.011494252873563218 13:0.2 24:0.5 41:0.125 47:0.3333333333333333 53:0.2 56:0.037037037037037035 58:0.16666666666666666 74:0.2 75:0.2 85:0.14285714285714285 113:2.0 124:0.5 192:0.14285714285714285 209:0.25 257:0.5 516:1.0 726:1.0 818:1.0 958:1.0 1336:1.0 1968:0.5 2001:1.0 2137:1.0 2485:1.0 3613:1.0 3768:1.0 5162:1.0 5700:1.0 5924:1.0
8 12:0.011494252873563218 15:0.3333333333333333 18:0.125 35:0.1 36:0.08333333333333333 47:0.6666666666666666 67:0.5 75:0.2 87:1.0 98:0.3333333333333333 113:1.0 337:1.0 369:0.3333333333333333 398:0.125 510:0.5 516:1.0 554:1.0 911:1.0 1019:1.0 1113:0.5 1149:1.0 1155:1.0 1385:1.0 1999:1.0 3018:1.0 3601:1.0 4883:1.0 5455:1.0 6397:1.0
8 18:0.125 24:0.5 27:0.09090909090909091 36:0.08333333333333333 41:0.25 47:0.3333333333333333 48:0.3333333333333333 67:0.5 85:0.14285714285714285 122:0.3333333333333333 172:1.0 213:1.0 305:0.3333333333333333 368:1.0 398:0.125 451:0.5 531:1.0 822:1.0 912:1.0 958:1.0 2309:1.0 2909:1.0 3792:1.0 4850:1.0 4909:1.0 4988:1.0 5099:1.0 5177:1.0 5293:1.0 6446:1.0 8081:1.0
8 35:0.3 41:0.125 52:0.3333333333333333 54:1.0 75:0.1 108:0.2 122:0.6666666666666666 141:1.0 261:0.3333333333333333 322:1.0 331:0.3333333333333333 398:0.5 484:1.0 513:1.0 692:1.0 748:0.3333333333333333 1142:1.0 1155:1.0 1891:1.0 2349:1.0 3587:1.0 4076:1.0 4764:1.0 4765:1.0 5585:1.0 8039:1.0
8 41:0.25 47:0.3333333333333333 67:1.0 75:0.1 85:0.14285714285714285 98:0.3333333333333333 124:0.25 172:1.0 176:0.5 261:0.3333333333333333 306:0.16666666666666666 363:0.5 564:1.0 578:1.0 671:1.0 739:0.5 1079:1.0 1089:1.0 1557:1.0 2137:1.0 2884:1.0 4884:1.0 5151:1.0 5806:1.0 6586:1.0 7662:1.0
8 47:0.3333333333333333 67:1.0 75:0.1 87:1.0 152:0.3333333333333333 192:0.14285714285714285 398:0.25 573:0.5 1171:1.0 4831:1.0 4869:0.3333333333333333 5067:1.0 5223:1.0 5435:1.0 5756:1.0 6167:1.0
8 12:0.011494252873563218 13:0.2 24:1.0 27:0.09090909090909091 38:0.5 41:0.125 47:0.3333333333333333 53:0.2 67:1.0 75:0.1 82:0.1 84:0.25 85:0.14285714285714285 98:0.3333333333333333 113:1.0 122:0.3333333333333333 124:0.25 140:0.5 209:0.25 368:1.0 398:0.125 966:1.0 1238:1.0 1620:1.0 1628:0.5 3859:1.0 5151:1.0 7214:1.0 7332:1.0
8 18:0.125 20:0.06666666666666667 41:0.25 67:0.5 75:0.1 87:2.0 98:0.3333333333333333 124:0.25 130:1.0 192:0.14285714285714285 196:0.3333333333333333 492:0.5 494:1.0 502:1.0 639:0.07692307692307693 1089:1.0 4261:1.0 4341:0.5 4701:1.0 4833:0.5 4993:1.0 6073:1.0 6578:1.0
8 18:0.125 35:0.1 53:0.2 67:0.5 75:0.2 87:2.0 409:0.3333333333333333 639:0.07692307692307693 732:1.0 774:1.0 1028:1.0 2131:1.0 2556:1.0 3264:1.0 4805:1.0 5647:0.5 7799:1.0
8 12:0.034482758620689655 27:0.09090909090909091 41:0.125 53:0.2 54:1.0 57:0.5 63:0.5 67:0.5 75:0.1 85:0.14285714285714285 98:0.3333333333333333 191:1.0 331:0.3333333333333333 362:1.0 368:1.0 409:0.3333333333333333 451:0.5 544:1.0 622:1.0 772:1.0 957:0.3333333333333333 1445:1.0 1556:1.0 4549:1.0 4850:1.0 6839:1.0 7503:1.0
8 12:0.011494252873563218 15:0.3333333333333333 41:0.125 67:0.5 75:0.1 87:1.0 104:0.3333333333333333 108:0.2 118:1.0 122:0.3333333333333333 191:1.0 192:0.14285714285714285 494:1.0 639:0.07692307692307693 977:1.0 1149:1.0 1155:1.0 1541:1.0 5005:1.0 5258:1.0 6368:1.0 7219:1.0 7938:1.0
8 12:0.011494252873563218 13:0.4 18:0.125 35:0.2 36:0.08333333333333333 63:0.5 67:0.5 75:0.3 84:0.25 87:1.0 104:0.3333333333333333 192:0.14285714285714285 243:0.5 255:1.0 389:1.0 496:1.0 522:0.2 712:0.14285714285714285 732:1.0 801:0.5 1468:1.0 1663:1.0 1856:1.0 2262:1.0 2477:1.0 2884:1.0 3264:1.0 5139:0.25 6396:1.0 7995:1.0
8 3:0.3333333333333333 24:0.5 39:0.2 41:0.25 52:0.3333333333333333 53:0.2 98:0.6666666666666666 124:0.25 398:0.125 472:0.5 1242:1.0 1481:1.0 1902:1.0 2862:1.0 2952:1.0 3322:2.0 4360:1.0 4869:0.3333333333333333 4921:1.0 5600:1.0 6690:1.0 6834:1.0
8 1:0.07142857142857142 24:0.5 531:1.0 910:1.0 1480:1.0 3085:1.0 4833:0.5 5495:1.0 6180:0.5 7859:1.0 8028:1.0
8 35:0.1 85:0.14285714285714285 93:0.5 98:0.3333333333333333 172:1.0 196:0.3333333333333333 277:0.3333333333333333 289:1.0 513:1.0 625:1.0 1238:1.0 1402:0.5 1689:1.0 3220:1.0 5168:0.5 6189:1.0 6617:1.0 7638:1.0 8178:1.0
8 1:0.14285714285714285 12:0.022988505747126436 41:0.125 47:0.3333333333333333 74:0.2 98:0.3333333333333333 147:1.0 257:0.5 387:1.0 398:0.125 441:1.0 496:1.0 531:1.0 739:0.5 976:0.3333333333333333 1915:1.0 4012:1.0 6300:1.0 6617:1.0 6983:1.0
8 12:0.011494252873563218 41:0.125 67:0.5 75:0.1 85:0.14285714285714285 291:0.5 639:0.07692307692307693 1740:1.0 4337:1.0 4810:1.0 4850:1.0 5502:0.3333333333333333 7016:1.0
8 12:0.011494252873563218 24:0.5 27:0.09090909090909091 64:0.3333333333333333 79:0.25 122:0.6666666666666666 254:1.0 305:0.3333333333333333 337:1.0 398:0.125 660:1.0 911:1.0 1305:1.0 2485:1.0 4703:1.0 4850:1.0 5329:1.0 5679:1.0 5881:1.0 6582:1.0
8 41:0.125 58:0.16666666666666666 82:0.1 122:0.3333333333333333 128:1.0 191:1.0 192:0.14285714285714285 349:1.0 535:1.0 840:1.0 1373:1.0 1525:1.0 2240:1.0 4341:0.5 4437:1.0 5201:1.0 5753:1.0 6966:1.0
8 12:0.011494252873563218 18:0.25 24:0.5 36:0.08333333333333333 47:0.3333333333333333 67:2.0 75:0.3 87:1.0 134:1.0 192:0.14285714285714285 236:1.0 261:0.3333333333333333 305:0.3333333333333333 566:0.2 712:0.14285714285714285 1525:1.0 3678:1.0 4833:0.5 5924:1.0 6832:1.0
8 18:0.125 47:0.3333333333333333 67:0.5 75:0.1 124:0.25 192:0.14285714285714285 363:0.5 398:0.125 748:0.3333333333333333 1280:1.0 3797:1.0 4213:1.0 4373:1.0 4392:1.0 4751:1.0 4829:1.0 4836:1.0 5201:1.0
8 1:0.07142857142857142 41:0.125 44:1.0 47:0.3333333333333333 67:0.5 74:0.2 75:0.1 110:1.0 306:0.16666666666666666 329:1.0 398:0.125 625:1.0 639:0.07692307692307693 748:0.3333333333333333 873:1.0 1212:1.0 1280:1.0 2463:1.0 2862:2.0 3993:0.5 4805:1.0 5056:1.0 7511:2.0
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8 12:0.011494252873563218 27:0.09090909090909091 58:0.16666666666666666 67:0.5 77:0.3333333333333333 85:0.14285714285714285 104:0.3333333333333333 116:1.0 172:1.0 192:0.14285714285714285 373:1.0 441:1.0 878:1.0 2193:1.0 2365:1.0 3969:1.0 4865:0.16666666666666666 5127:1.0 5238:1.0 5352:1.0 5587:1.0 7131:1.0 7302:1.0 7329:1.0
8 18:0.125 20:0.06666666666666667 67:0.5 75:0.1 98:0.3333333333333333 197:0.2 229:1.0 770:1.0 779:1.0 782:1.0 877:1.0 894:0.3333333333333333 1943:0.3333333333333333 2204:1.0 3859:1.0 4753:1.0 5292:1.0 6615:1.0
8 12:0.011494252873563218 24:0.5 44:1.0 47:0.3333333333333333 54:1.0 56:0.037037037037037035 63:0.5 67:0.5 85:0.42857142857142855 191:1.0 192:0.14285714285714285 268:1.0 342:1.0 451:0.5 496:1.0 772:1.0 1680:1.0 1968:0.5 2254:1.0 2884:1.0 3161:1.0 6992:1.0 7532:1.0
8 12:0.011494252873563218 13:0.2 41:0.125 67:0.5 75:0.1 87:1.0 98:0.3333333333333333 108:0.2 113:1.0 191:1.0 322:1.0 337:1.0 374:1.0 398:0.125 418:0.5 494:1.0 821:1.0 939:0.5 1353:1.0 2695:1.0 2952:1.0 4764:1.0 4833:0.5 4972:1.0 4973:1.0 5079:0.3333333333333333 6328:1.0 8192:1.0
8 1:0.07142857142857142 12:0.011494252873563218 35:0.1 47:0.3333333333333333 67:0.5 75:0.4 134:1.0 152:0.3333333333333333 191:1.0 209:0.5 226:0.25 639:0.07692307692307693 1155:1.0 2262:1.0 2306:0.5 2919:1.0 2933:0.5 3054:1.0 5359:1.0 6189:1.0
8 12:0.034482758620689655 13:0.2 41:0.125 47:0.3333333333333333 53:0.2 63:0.5 65:1.0 74:0.4 75:0.1 77:0.3333333333333333 98:0.6666666666666666 122:0.3333333333333333 136:2.0 236:1.0 305:0.3333333333333333 326:1.0 639:0.07692307692307693 1435:1.0 3487:1.0 3880:1.0 5537:0.5 8118:1.0
8 3:0.3333333333333333 12:0.011494252873563218 15:0.3333333333333333 18:0.125 47:0.6666666666666666 67:1.0 85:0.14285714285714285 87:1.0 93:0.5 172:1.0 191:1.0 235:0.3333333333333333 398:0.125 619:0.5 639:0.07692307692307693 739:0.5 911:1.0 1015:1.0 2366:1.0 2495:1.0 4884:1.0 4940:1.0 4950:1.0 5034:1.0 5441:1.0
8 54:1.0 1854:0.5 4869:0.3333333333333333 5837:1.0
8 20:0.06666666666666667 24:1.0 61:0.5 75:0.1 82:0.1 172:1.0 398:0.125 441:1.0 451:0.5 912:1.0 1015:1.0 4139:1.0 4852:1.0 4882:1.0 4924:1.0 5261:1.0 6670:1.0 7028:1.0
8 24:1.0 47:0.3333333333333333 75:0.3 85:0.14285714285714285 98:0.6666666666666666 104:0.3333333333333333 124:0.25 226:0.25 331:0.3333333333333333 451:0.5 772:1.0 895:1.0 1001:1.0 2906:1.0 2962:1.0 3647:1.0 4373:1.0 4978:1.0 6303:1.0 6802:1.0 7710:1.0 7938:1.0
8 47:0.3333333333333333 67:1.5 75:0.5 79:0.25 87:1.0 93:0.5 122:0.3333333333333333 220:1.0 236:1.0 261:0.3333333333333333 277:0.3333333333333333 368:1.0 441:1.0 477:1.0 516:2.0 537:1.0 599:1.0 619:1.0 639:0.07692307692307693 815:1.0 958:1.0 1086:1.0 1555:1.0 2600:1.0 2909:1.0 4334:1.0 4957:0.3333333333333333 6154:1.0 7103:1.0 7809:1.0
8 12:0.011494252873563218 20:0.13333333333333333 35:0.1 47:0.6666666666666666 79:0.25 104:0.3333333333333333 122:0.3333333333333333 166:0.25 261:0.3333333333333333 564:1.0 911:1.0 1027:1.0 1087:1.0 1113:0.5 1676:1.0 1980:1.0 2582:0.5 2888:2.0 2996:1.0 3511:1.0 3993:0.5 4878:1.0 4924:1.0 5112:1.0 5127:1.0 5638:1.0 5664:1.0 5859:1.0 7085:1.0 7955:2.0
8 15:0.3333333333333333 18:0.125 24:0.5 41:0.25 47:1.0 53:0.2 67:0.5 75:0.1 85:0.2857142857142857 87:1.0 108:0.2 252:0.3333333333333333 306:0.16666666666666666 398:0.125 435:1.0 626:1.0 722:1.0 758:0.25 772:1.0 871:1.0 912:1.0 1086:1.0 1380:1.0 1435:1.0 1702:1.0 2884:1.0 4327:1.0 4869:0.3333333333333333 4918:1.0 4957:0.3333333333333333 5129:1.0 6068:1.0 7028:1.0 7222:1.0
8 1:0.14285714285714285 18:0.125 67:1.0 75:0.2 87:2.0 98:0.3333333333333333 115:0.5 196:0.3333333333333333 226:0.25 306:0.16666666666666666 473:0.5 568:0.25 653:1.0 712:0.14285714285714285 858:1.0 1142:1.0 1572:0.3333333333333333 1581:0.3333333333333333 1922:1.0 2582:0.5 2600:1.0 2884:1.0 3070:1.0 3156:1.0 3686:1.0 4476:1.0 4805:1.0 6068:1.0 6258:1.0 7088:1.0 7089:1.0 7619:1.0
8 15:0.3333333333333333 58:0.16666666666666666 75:0.4 87:1.0 113:2.0 122:0.3333333333333333 172:1.0 398:0.25 578:1.0 619:0.5 732:1.0 1097:1.0 1657:1.0 4752:1.0 4883:1.0 5203:0.2 5964:1.0 7185:1.0
|
2620eb49610effb61f01c11795e9961657a25dcb | 449d555969bfd7befe906877abab098c6e63a0e8 | /647/CH12/EX12.20/Example12_20.sce | ae651ae351407f99bd81d414ecccbd18e17d483b | [] | 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 | 1,271 | sce | Example12_20.sce | clear;
clc;
// Example: 12.20
// Page: 505
printf("Example: 12.20 - Page: 505\n\n");
// Solution
//Reactions:
// CO + (1/2)O2 ------------> CO2 ......................................(1)
// C + O2 ------------------> CO2 ......................................(2)
// H2 + (1/2)O2 ------------> H2O ......................................(3)
// C + 2H2 -----------------> CH4 ......................................(4)
// Elimination of C:
// Combining Eqn. (2) with (1):
// CO + (1/2)O2 ------------> CO2 ......................................(5)
// Combining Eqn. (2) with (4):
// CH4 + O2 ----------------> 2H2 + CO2 ................................(6)
// Elimination of O2:
// Combining Eqn. (3) with (4):
// CO2 + H2 ----------------> CO + H2O .................................(7)
// Combining Eqn. (3) with (6):
// CH4 + 2H2O -------------> CO2 + 4H2 .................................(8)
// Equations 7 & 8 are independent sets. Hence
r = 2;// [No. of independent rkn.]
C = 5;// [No. of component]
P = 1;// [No. of phases]
s = 0;// [No special constraint]
// Applying Eqn. 12.81
F = C - P + 2 - r - s;// [Degree of freedom]
printf("No. of independent reaction that occur is %d\n",r);
printf("No. of Degree of freedom is %d",F); |
a4b00b05d4de66ed437e173eeed678be896b5bb3 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1271/CH12/EX12.37/example12_37.sce | c27ede948c7c9208a769bcccc3c99f9db49d6a9b | [] | 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 | 350 | sce | example12_37.sce | clc
// Given that
B = 5e-9 // magnetic field in tesla
v = 3e5 // velocity of proton stream in m/sec
e = 1.6e-19 // charge on an electron in C
// Sample Problem 37 on page no. 12.46
printf("\n # PROBLEM 37 # \n")
printf(" Standard formula used \n")
printf(" E = 1/2*m*v^2 \n")
r = (1.67e-27 * v) / (e * B)
printf("\n Larmour radius is %e meter.",r)
|
120d6afb134d18ed22907bfc4fc3a6263fc64539 | 449d555969bfd7befe906877abab098c6e63a0e8 | /929/CH6/EX6.2.c/Example6_2_c.sce | 0752e7e544c158192a0b9b47566c930e269f9cdb | [] | 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 | 287 | sce | Example6_2_c.sce | //Example 6.2(c)
clear;
clc;
A0dB=60;
A0=10^(A0dB/20);
ft=10^6;
fb=ft/A0;
A10=A0^(1/2);
A20=A10;
fb1=ft/A10;
fb2=fb1;
f1=1+(%s/fb1);
A1=A10*(1/f1);
fB=(((((A10^2)*(2^(0.5)))/A0)-1)^(1/2))*fb1;
printf("Actual Bandwidth (fB)=%.2f kHz",fB*10^(-3)); |
f74588e02d9659a8d3160151ee7c3e36da56a860 | 6fcc975cf51b3119356ccc4d7d2693b977e81c4a | /comparaison_pas_constant_et_pas_optimal.sce | 9e837ad229c1dde4ce54ff313278247c9e6a0541 | [] | no_license | daniel-artchounin/RO04_TP2 | a6982e38e2471d0f3592b7012d8f20fc696fc9f9 | b9a5e4cd54d0e392c0684f43fff80228ba4c3a3d | refs/heads/master | 2021-01-11T11:10:00.767159 | 2015-06-18T17:37:46 | 2015-06-18T17:37:46 | 37,153,466 | 0 | 1 | null | null | null | null | UTF-8 | Scilab | false | false | 3,660 | sce | comparaison_pas_constant_et_pas_optimal.sce | N=10;
A=toeplitz([2,-1,zeros(1,N-2)]);
b = rand(N,1);
function y=J(x,A,b)
// calcul d'une forme quadratique
y = (1/2)* x'*A*x - b'*x;
endfunction
function dy=gradJ(x,A,b)
// calcul d'un gradient
dy = A*x-b;
endfunction
function rho_opt=pas_var_opt(dk, A)
// pas variable optimal pour la matrice Aendfunction
rho_opt = (dk'*dk)/(dk'*A*dk);
endfunction
function [c,xn,Jxn,errors,nbIterations]=gradient_pasoptimal(x0,J,dJ,stop,nmax,x_opt)
// a la fin de l’algorithme c est un vecteur colonne contenant toutes les valeurs J(xk)
// a la fin de l’algorithme errors est un vecteur colonne contenant toutes les erreurs
// ||xk-x_opt|| pour la norme euclidienne
// xn et Jxn sont les valeurs finales obtenues
// stop : valeur num\’erique du crit\‘ere d’arret
// nmax : nombre d’it\’erations maximales
// rho : le pas est calcul\’e \‘a chaque it\’eration \‘a l’aide de la fonction pas_var_opt
i = 1;
xk = x0;
c=[J(x0,A,b)];
dk = -dJ(xk,A,b)
xkplus1 = xk + pas_var_opt(dk, A)*dk;
errors=[norm((xkplus1-x_opt),2)];
c = [c,J(xkplus1,A,b)];
while i<nmax & norm((xkplus1-xk),2)> stop
xk = xkplus1;
dk = -dJ(xk,A,b)
xkplus1 = xk + pas_var_opt(dk, A)*dk;
errors=[errors, norm((xkplus1-x_opt),2)];
c = [c, J(xkplus1,A,b)];
i = i + 1;
end
Jxn = J(xkplus1,A,b);
xn = xkplus1;
nbIterations = i;
endfunction
function rho_opt=pas_cst_opt(A)
// pas optimal pour la matrice A
vp_max = max(spec(A));
vp_min = min(spec(A));
rho_opt= 2/(vp_max+vp_min);
endfunction
function [c,xn,Jxn,errors,nbIterations]=gradient_pasconstant_new(x0,J,dJ,rho,stop,nmax,x_opt)
// a la fin de l’algorithme c est un vecteur colonne contenant toutes les valeurs J(xk)
// a la fin de l’algorithme errors est un vecteur colonne contenant toutes les erreurs
// ||xk-x_opt|| pour la norme euclidienne
// xn et Jxn sont les valeurs finales obtenues
// stop : valeur num\’erique du crit\‘ere d’arret
// nmax : nombre d’it\’erations maximales
// rho : choisir une valeur strictement positive mais inf\’erieur \‘a rho_max
i = 1;
xk = x0;
c=[J(x0,A,b)];
xkplus1 = xk - rho*dJ(xk,A,b);
errors=[norm((xkplus1-x_opt),2)];
c = [c,J(xkplus1,A,b)];
while i<nmax & norm((xkplus1-xk),2)> stop
xk = xkplus1;
xkplus1 = xk -rho*dJ(xk,A,b);
errors=[errors, norm((xkplus1-x_opt),2)];
c = [c, J(xkplus1,A,b)];
i = i + 1;
end
Jxn = J(xkplus1,A,b);
xn = xkplus1;
nbIterations = i;
endfunction
x0=zeros(N,1);
nmax = 500;
stop = 1e-3;
disp('A=');
disp(A);
disp('x_opt_1');
x_opt_1 = inv(A)*b;
disp(x_opt_1);
[c,xn,Jxn,errors,iterations]=gradient_pasoptimal(x0,J,gradJ,stop,nmax,x_opt_1);
// disp('c');
// disp(c);
Nit = length(errors)-1;
disp(size([0:Nit]));
disp(size(errors));
figure(0);
plot([0:Nit],errors,'k.');
[c_bis,xn_bis,Jxn_bis,errors_bis,iterations_bis]=gradient_pasconstant_new(x0,J,gradJ,pas_cst_opt(A),stop,nmax,x_opt_1);
Nit = length(errors_bis)-1;
disp(size([0:Nit]));
disp(size(errors_bis));
plot([0:Nit],errors_bis,'b.');
disp('nb iterations pas optimal');
disp(iterations);
disp('nb iterations pas constant');
disp(iterations_bis);
legend('Pas optimal','Pas constant'); // legend
xlabel('$i$'); // titre de l'abscisse
ylabel('$\epsilon(x_i)$'); // titre de l'ordonnée
title('Comparaison entre les erreurs de la méthode du gradient à pas constant et les erreurs du gradient à pas optimal'); // titre du graphique
|
87fb7cbc70624d214657a33741f4782c1a8ff1f1 | 449d555969bfd7befe906877abab098c6e63a0e8 | /2708/CH2/EX2.13/ex_2_14.sce | 22d6f0f5bbb88981637121f99c909289605abe9a | [] | 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 | 306 | sce | ex_2_14.sce | //Example 2.14 //Resolving power
clc;
clear;
//given data
c=12.5D-5;// grating element in cm
w=5D-5;// wavelength used in cm
N=40000;//no. of lines on grating
n=c/w;// order for maximum resolving power
n=floor(n);//n should be integer
P=n*N;// maximum resolving power
disp(P,"Resolving power ")
|
39c451dde5a004e5dc50c13c2a01131b37a8194a | 449d555969bfd7befe906877abab098c6e63a0e8 | /3472/CH43/EX43.4/Example43_4.sce | 99e20524e9e3f8fcfd00711c1bdba44cf61a9a59 | [] | 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 | 1,343 | sce | Example43_4.sce | // A Texbook on POWER SYSTEM ENGINEERING
// A.Chakrabarti, M.L.Soni, P.V.Gupta, U.S.Bhatnagar
// DHANPAT RAI & Co.
// SECOND EDITION
// PART IV : UTILIZATION AND TRACTION
// CHAPTER 5: ELECTRIC TRACTION-SPEED TIME CURVES AND MECHANICS OF TRAIN MOVEMENT
// EXAMPLE : 5.4 :
// Page number 779
clear ; clc ; close ; // Clear the work space and console
// Given data
D = 2.0 // Distance between 2 stations(km)
V_a = 40.0 // Average speed(kmph)
V_1 = 60.0 // Maximum speed limitation(kph)
alpha = 2.0 // Acceleration(km phps)
beta_c = 0.15 // Coasting retardation(km phps)
beta = 3.0 // Braking retardation(km phps)
// Calculations
t_1 = V_1/alpha // Time for acceleration(sec)
T = 3600*D/V_a // Actual time of run(sec)
V_2 = (T-t_1-(V_1/beta_c))*beta*beta_c/(beta_c-beta) // Speed at the end of coasting period(kmph)
t_2 = (V_1-V_2)/beta_c // Coasting period(sec)
t_3 = V_2/beta // Braking period(sec)
// Results
disp("PART IV - EXAMPLE : 5.4 : SOLUTION :-")
printf("\nDuration of acceleration, t_1 = %.f sec", t_1)
printf("\nDuration of coasting, t_2 = %.f sec", t_2)
printf("\nDuration of braking, t_3 = %.f sec", t_3)
|
f591a270a496431e1da1fafa57fc7809d3fbb5ed | 23573b967e8324d44226379d70559b8f0ea34905 | /code/fminbnd/Chichinadze.sce | efd79f204fa0daa45809a68dca7901f37e6e89f2 | [] | no_license | FOSSEE/FOT_Examples | 91c8b8e9dc58545604b2c2af41a7e22f702b78f3 | 75947a7aa5a3955fe5a72e09f55bbdc05e3b8751 | refs/heads/master | 2020-03-22T09:00:48.306061 | 2018-07-24T04:49:25 | 2018-07-24T04:49:25 | 139,807,736 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 2,147 | sce | Chichinadze.sce | //Reference: Ernesto P. Adorio and U.P. Diliman,"MVF - Multivariate Test Functions
//Library in C for Unconstrained Global Optimization",2005,
//http://www.geocities.ws/eadorio/mvf.pdf, Last accessed, 11th June 2018
//Example: The 2-dimensional function mvfChichinadze computes
//f = x1^2 - 12*x1 + 11 + 10*cos(%pi/2*x1)) + 8*sin(5*%pi*x1)) - 1/sqrt(5)*exp(-(x2)-0.5)^2/2)
//with domain −30 ≤ x0 ≤ 30, −10 ≤ x1 ≤ 10. The global minimum is 43.3159 at (5.90133, 0.5).
//
clc;
//Objective Function
function f = Chichinadze(x)
f = x(1)^2 - 12*x(1) + 11 + 10*cos(%pi/2*x(1)) + 8*sin(5*%pi*x(1)) - 1/sqrt(5)*exp(-(x(2)-0.5)^2/2)
endfunction
//Lower bound on the variables
x1 = [-30 -10];
//Upper bound on the variables
x2 = [30 10];
Maxit = 1500;
CPU = 100;
Tolx = 1e-6;
mprintf('The termination criteria is as follows: Maximum Iterations = %d, Maximum CPU time = %d, Tolerance on solution = %f',Maxit,CPU,Tolx);
//Options structure
options=list("MaxIter",Maxit,"CpuTime", CPU,"TolX",Tolx)
[xopt,fopt,exitflag,output,lambda]=fminbnd(Chichinadze,x1,x2,options)
// Result representation
clc;
select exitflag
case 0
disp("Optimal Solution Found")
disp(xopt',"The optimum solution obtained is")
disp(fopt,"The objective function value is")
case 1
disp("Maximum Number of Iterations Exceeded. Output may not be optimal")
disp(xopt,"The solution obtained")
f = Chichinadze(xopt)
disp(f,"The objective function value is")
case 2
disp("Maximum CPU Time exceeded. Output may not be optimal")
disp(xopt,"The solution obtained")
f = Chichinadze(xopt)
disp(f,"The objective function value is")
case 3
disp("Stop at Tiny Step")
disp(xopt,"The solution obtained")
f = Chichinadze(xopt)
disp(f,"The objective function value is")
case 4
disp("Solved To Acceptable Level")
disp(xopt,"The solution obtained")
f = Chichinadze(xopt)
disp(f,"The objective function value is")
case 5
disp("Converged to a point of local infeasibility")
disp(xopt,"The solution obtained")
f = Chichinadze(xopt)
disp(f,"The objective function value is")
end
disp(output)
|
7046165d7ad169b237755347b828a4e7ac4071cb | 449d555969bfd7befe906877abab098c6e63a0e8 | /3630/CH15/EX15.9/Ex15_9.sce | ef8476928547a58427b29687dff56bc766001eba | [] | 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 | 311 | sce | Ex15_9.sce | clc;
AcL=1;
Acm=0.001;
CMRR=AcL/Acm;
slewrate=500000;
Vpk=3;
fmax=slewrate/(2*3.14*Vpk);
disp(' ',AcL,"AcL=");//The answers vary due to round off error
disp(' ',CMRR,"CMRR=");//The answers vary due to round off error
disp('kHz',fmax/1000,"fmax=");//The answers vary due to round off error
|
f629716c3c753c3e97131ff0a3ef86b69c762aba | affb43e91a6a0cac39356ff1c5f9f5154b70a4a2 | /Application of DSP/DTMF.sce | 7a427217afe228007ac9aba99960f84d92c51c44 | [] | no_license | kathan-shah99/Digital-signal-processing | 87fb0615a98a764c546681ffb18fea32d69caa6d | 3d5ad3553152a2b57f98a3b1a26756ebca37d7bc | refs/heads/main | 2023-04-07T06:53:06.263109 | 2021-04-07T03:57:52 | 2021-04-07T03:57:52 | 355,397,284 | 1 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 3,872 | sce | DTMF.sce | //---Author--:--Kathan shah------------
clc
clear
//DTMF for Phone
function [f1,f2] = DTMF_encoder(x)
ro_f1=[700 770 850 940];
co_f1=[1220 1350 1490];
select x
case 1 then
f1 = ro_f1(1)
f2 = co_f1(1)
case 2 then
f1 = ro_f1(1)
f2 = co_f1(2)
case 3 then
f1 = ro_f1(1)
f2 = co_f1(3)
case 4 then
f1 = ro_f1(2)
f2 = co_f1(1)
case 5 then
f1 = ro_f1(2)
f2 = co_f1(2)
case 6 then
f1 = ro_f1(2)
f2 = co_f1(3)
case 7 then
f1 = ro_f1(3)
f2 = co_f1(1)
case 8 then
f1 = ro_f1(3)
f2 = co_f1(2)
case 9 then
f1 = ro_f1(3)
f2 = co_f1(3)
case 0 then
f1 = ro_f1(4)
f2 = co_f1(2)
else
disp(" Error - ---Enter Valid Number btw (0-9)")
f1 = 0
end
endfunction
function [x] = DTMF_decoder(f1,f2)
tol = 5
if (((f1 > 940-tol)&&(f1 < 940+tol))&&((f2 > 1350-tol)&&(f2<1350+tol)))
x = 0
elseif(((f1 > 700-tol)&&(f1 < 700+tol))&&((f2 > 1220-tol)&&(f2<1220+tol)))
x = 1
elseif(((f1 > 700-tol)&&(f1 < 700+tol))&&((f2 > 1350-tol)&&(f2<1350+tol)))
x = 2
elseif (((f1 > 700-tol)&&(f1 < 700+tol))&&((f2 > 1490-tol)&&(f2<1490+tol)))
x = 3
elseif (((f1 > 770-tol)&&(f1 < 770+tol))&&((f2 > 1220-tol)&&(f2<1220+tol)))
x = 4
elseif(((f1 > 770-tol)&&(f1 < 770+tol))&&((f2 > 1350-tol)&&(f2<1350+tol)))
x = 5
elseif (((f1 > 770-tol)&&(f1 < 770+tol))&&((f2 > 1490-tol)&&(f2<1490+tol)))
x = 6
elseif (((f1 > 850-tol)&&(f1 < 850+tol))&&((f2 > 1220-tol)&&(f2<1220+tol)))
x = 7
elseif(((f1 > 850-tol)&&(f1 < 850+tol))&&((f2 > 1350-tol)&&(f2<1350+tol)))
x = 8
elseif(((f1 > 850-tol)&&(f1 < 850+tol))&&((f2 > 1490-tol)&&(f2<1490+tol)))
x = 9
else
x = 12
end
endfunction
x = input("enter Phone Number---> ")
sr =1
fs = 8000
N = 1:fs/2
temp = []
//f = sr*(0:(length(N)/2))/length(N) //K*fs/N
//disp("Before Decoding")
for i=1:length(x)
[fr,fc] = DTMF_encoder(x(i))
disp(string(x(i))+"--"+string(fr)+"-"+string(fc))
y = 1*(sin(2*3.14*(fr/fs)*N) +sin(2*3.14*(fc/fs)*N))
temp = [temp y]
end
//plot(temp)
//sound(temp,fs)
k = 1
j = 1
//-------for FFT plot-----------
f = 1:2:(fs/2)
n = length(f)
//--------------------------------
FFT = []
while j<=10
sep = temp(k:fs*j/2)
FFT_temp = abs(fft(sep)) //FFT of given Digit
FFT(:,j) = FFT_temp //store in matrix
//--------------plotting Each digit FFT---------
subplot(2,5,j)
q = int(length(FFT_temp)/2) //for removal of image FFT
plot(f,FFT(1:q,j)') //plot FFT of jth digit upto half of length(FFT)
title(string(x(j)) + " FFT")
xlabel("Frequency- Hz")
ylabel("Amp-")
k = k + fs/2 //start cut
j = j + 1 //end cut fs*j/2
//-------------------------------------
end
disp("after Decoding")
for i=1:10
tem = FFT(:,i)
L = length(tem)/2
tem = tem(1:L)
fr_id = find(tem == max(tem)) //get Row Frequency
row_f = f(fr_id)
//removal of row frequency & its FFT from frequency array & FFT array
//-----fining col frequency--------
col_tem = tem(fr_id+fs/500:L) //get col Frequency
fc = f(fr_id+fs/500:L)
//figure(1)
//subplot(2,5,i)
//plot(fc,col_tem')
fc_id = find(col_tem == max(col_tem)) //get col Frequency
col_f = fc(fc_id)
//disp(string(row_f)+"---"+string(col_f))
fre(:,i) = [row_f,col_f]
//-------------------------------------
end
//----------------frequency to digit converter-----------
disp("decoded-digit")
d = 0
for i=1:10
ff = fre(:,i)
d(i) = (DTMF_decoder(ff(1),ff(2)))
end
disp(d')
//plot(fs,abs(fft(temp)))
//sound(temp,fs)
|
187f2a112d370f52549ddc4fa9cde3b84c032cd7 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1268/CH3/EX3.5/3_5.sce | 96cada3b7c5eda4226131f5f047af293ea0f208e | [] | 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 | 230 | sce | 3_5.sce | clc;
disp("Example 3.4")
// flow rate is directly proprtional to radius ratio to the power 4
radiusratio=2;
volumetricrateratio=radiusratio^4;
disp(" volumetric rate increases by a factor of ");
disp(volumetricrateratio);
|
bd33a2e87c934849a57bfcfcb6ce94385ffcf88e | 99b4e2e61348ee847a78faf6eee6d345fde36028 | /Toolbox Test/fftfilt/fftfilt2.sce | b752e87917d2eb732075719f2bd8f84ef4c09d14 | [] | 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 | 241 | sce | fftfilt2.sce | //i/p arg n i.e the length of the fft is given
x=[1 2 3 4 5 6 7];
b=[0.1 2 3 4 0.12];
n=10;
y=fftfilt(b,x,n);
disp(y);
//output
//!--error 4
//Undefined variable: nfft
//at line 128 of function fftfilt called by :
//y=fftfilt(b,x,n);
|
c84df894bbdeece3f20c6155b8d16d580d273ee7 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1760/CH8/EX8.40/EX8_40.sce | 4e7a421e62383fee6e2cd96da14315172909c00d | [] | 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 | 339 | sce | EX8_40.sce | //EXAMPLE 8-40 PG NO-554-555
R1=459.089;
R2=22500';
Zoc=[R1*(R1+R2)]/{R1+R2+R1};
Zsc=[(R1*R2)/(R1+R2)];
Zo=[Zoc*Zsc]^0.5;
disp('i) impedance (Zoc) is = '+string (Zoc) +' ohm ');
disp('ii) impedance (Zsc) is = '+string (Zsc) +' ohm ');
disp('iii)impedance (Zo) is = '+string (Zo) +' ohm ');
|
e901b4514da9db10f237934600082384f1b35cf4 | e1bc17aae137922b1ee990f17aae4a6cb15b7d87 | /Completed Simulations/Control Systems by Nagrath and Gopal/Scilab/Ex9_10.sci | 8dd16c1cb42c6ac9586b8c94200bf36474112f09 | [] | no_license | muskanmahajan37/Xcos_block_examples | 650dceb0afdbfc100f3e9c5a6508443eca030fa2 | 8ac15bc5efafa2afc053c293152605b0e6ae60ff | refs/heads/master | 2022-02-26T04:20:26.365579 | 2019-09-03T12:57:40 | 2019-09-03T12:57:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 174 | sci | Ex9_10.sci | function y=nqst10(z)
s=%s
H=syslin('c',1/(s*(0.2*s+1)*(0.05*s+1)))
nyquist(H)
show_margins(H,'nyquist')
mtlb_axis([-1 1 -5 1])
gm=g_margin(H)
pm=p_margin(H)
y=0;
endfunction
|
555e4f811fd4ef0f547c1e338de15f3f379d3e83 | 449d555969bfd7befe906877abab098c6e63a0e8 | /695/CH2/EX2.14/Ex2_14.txt | c10d1ed03afb943b119d1916c484ef1be07a257c | [] | 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 | 506 | txt | Ex2_14.txt | //Caption:Find the speed
//Exa:2.14
clc;
clear;
close;
V_t=400;//in volts
V_b=2;//total brush drop in volts
R_a=0.12;//armature winding resistance in ohms
N1=1000;//speed in rpm
I_a1=150;//in amperes
I_a2=100;//in amperes
R_L=V_t/I_a1;//load resistance in ohms
E_g1=V_t+I_a1*R_a+V_b;//in volts
V_to=R_L*I_a2;//in volts
E_g2=ceil (V_to+I_a2*R_a+V_b);//in volts
//Since E_g is directly proportional to N
//therefore,E_g1/E_g2=N1/N2
N2= N1*E_g2/E_g1;//in rpm
disp(ceil(N2),'Speed (in rpm)=') |
0436cffcf6c4e102c5e5bafde656ab52d47734b8 | 717ddeb7e700373742c617a95e25a2376565112c | /278/CH3/EX3.1/ex_3_1.sce | 32e21c6ff03eab0c3865880e8c82bb4b3cc95cc7 | [] | 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 | 421 | sce | ex_3_1.sce | //find hole tolerance,shaft tolerance and allowance
clc
//solution
//given
lh=25//mm//lower limit of hole
uh=25.02//mm//upper limit of hole
ls=24.95//mm//lower limit of shaft
us=24.97//mm//upper limit of shaft
h=uh-lh//mm//hole tolerance
s=us-ls//mm//shaft tolerance
a=lh-us//mm//alownce
printf("the hole tolerance is,%f mm\n",h)
printf("the shaft tolerance is,%f mm \n",s)
printf("the allowance is,%f mm",a) |
698f09923a4c17aca958d2cc068d00924c3d64a0 | 2c810d6a57b9a120a2507b780cdee48476a555c4 | /Eauation de Pascal.sci | e30c831d6384be3c79929b9ee793df3ff870df50 | [] | no_license | alvin-biyoghe/geosen | c1c7c20436f6b878cde89db51d4ff88e09b80bc9 | 9dc81053bbab936f33ed2c5664b3516c7b2d8869 | refs/heads/master | 2020-06-25T04:11:39.941505 | 2019-07-27T17:59:53 | 2019-07-27T17:59:53 | 199,196,996 | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 343 | sci | Eauation de Pascal.sci | A=[-2 1 0 ; 1 -2 1 ; 0 1 -2]
u=0.1 //viscosité
k= 0.08 //conductivité thermique
U= 3.0 //vitesse maximum du fluide
B=[-U^2*u/(4*k);0;-U^2*u/(4*k)-5]
t=inv(A)*B
T=[0;t;5]
plot2d (T)
xtitle( 'variation de la température d un fluide visqueux lors d un écoulement entre deux plaques', 'hauteur H', 'Température du fluide en degrés celcius')
|
2e0fa5760b0a54ced7eac5402addf1f9d8337e7c | 449d555969bfd7befe906877abab098c6e63a0e8 | /2006/CH9/EX9.6/ex9_6.sce | c98bb679467e5b907ba3d9f119e8b4e5b20b33c3 | [] | no_license | FOSSEE/Scilab-TBC-Uploads | 948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1 | 7bc77cb1ed33745c720952c92b3b2747c5cbf2df | refs/heads/master | 2020-04-09T02:43:26.499817 | 2018-02-03T05:31:52 | 2018-02-03T05:31:52 | 37,975,407 | 3 | 12 | null | null | null | null | UTF-8 | Scilab | false | false | 2,142 | sce | ex9_6.sce | clc;
V1=250; // Velocoty of jet aircraft in m/s
p1=60; // Atmospheric pressure in kPa
T1=260; // Atmospheric temperature in kelvin
rp=8; // Pressure ratio of compressor
T4=1350; // Temperature of gas at turbine inlet in kelvin
k=1.4; // Index of reversible adiabatic process
Cvo=0.7165; // Specific heat at constant volume in kJ/kg K
Cpo=1.0035; // Specific heat at constant pressure in kJ/kg K
R=0.287; // characteristic gas constant of air in kJ/kg K
// (a).The pressure and temperature at each point of the cycle
// process 1-2 isentropic diffusion
T2=T1+(V1^2)/(2*Cpo*10^3); // Temperature at state 2
p2=p1*(T2/T1)^(k/(k-1)); // Pressure at state 2
// process 2-3 isentropic compression
p3=rp*p2; // perssure at state 3
T3=T2*(p3/p2)^((k-1)/k); // Temperature at state 3
wc=Cpo*(T3-T2); // compressor work
// process 3-4 Constant pressur heat addition
qH=Cpo*(T4-T3); // heat addition
p4=p3; // constant pressure
// process 4-5 isentropic expansion in turbine
wT=wc;
T5=T4-(wT/Cpo); // Temperature at state 5
p5=p4*(T5/T4)^(k/(k-1)); // Pressure at state 5
// process 5-6 Isentropic expansion in nozzle
p6=p1;
T6=T5*(p6/p5)^((k-1)/k); // Temperature at state 6
disp ("K",T6,"T6 = ","kPa",p6,"p6 = ","state 6","K",T5,"T5 = ","kPa",p5,"p5 = ","State 5","K",T4,"T4 = ","kPa",p4,"p4 =","State 4","K",T3,"T3 = ","kPa",p3,"p3 =","State 3","K",T2,"T2 =","kPa",p2,"p2 =","State 2","K",T1,"T1 =","kPa",p1,"p1 = ","State 1","(a).The pressure and temperature at each point of the cycle");
// (b).Exit velocity of jet
V6=sqrt (2*Cpo*10^3*(T5-T6)); // Exit velocity of jet
disp ("m/s",V6,"(b).Exit velocity of jet =");
// (c).Specific thrust and work output
F_mair=(V6-V1); // Specific thrust
w=F_mair*V1/1000; // Work output
disp ("kJ/kg",w,"Work output = ","N",F_mair,"Specific thrust =","(c).Specific thrust and work output");
// (d).Propulsion efficiency
eff_p=w/(w+(V6^2-V1^2)/2000);// Propulsion efficiency
disp ("%",eff_p*100,"(d).Propulsion efficiency =");
// (e).Overall thermal efficiency
eff_th=w/qH; // Overall thermal efficiency
disp ("%",eff_th*100,"(e).Overall thermal efficiency =");
|
abd4b23a66f78928edc5a11daa8e67b8f6bc40e2 | a62e0da056102916ac0fe63d8475e3c4114f86b1 | /set9/s_Engineering_Physics_K._V._Kumar_3537.zip/Engineering_Physics_K._V._Kumar_3537/CH7/EX7.19/Ex7_19.sce | 628b5480831c5d1a25ec2fa88b205c39d5db8b1c | [] | 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 | 176 | sce | Ex7_19.sce | errcatch(-1,"stop");mode(2);//Example 7_19
;
;
//To calculate the fractional index
n1=1.5
n2=1.3
delta=(n1-n2)/n1
printf("The fractional index is %.3f",delta)
exit();
|
5b68b49d5910e6c5ce1966044199a9a3f02fb8f2 | 449d555969bfd7befe906877abab098c6e63a0e8 | /1970/CH4/EX4.6/Ch04Exa6.sce | 12f7fdd1415736b6a4332bb8c20ff358f767df54 | [] | 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 | 324 | sce | Ch04Exa6.sce | // Scilab code Exa4.6 : : Page 179 (2011)
clc; clear;
C_r = 0.1e-02; // Counting rate of GM tube
S = 3; // Slope of the curve
V = C_r*100*100/S; // Voltage fluctuation, volt
printf("\nThe voltage fluctuation GM tube = %4.2f volt", V);
// Result
// The voltage fluctuation GM tube = 3.33 volt |
4397fdd79cbbe3c432ccf5b22935ad4c3aca2585 | 449d555969bfd7befe906877abab098c6e63a0e8 | /506/CH16/EX16.4.e/Example16_4e.sce | f74e6ace1f3379bbbf524a7aa76ad8a5e1a8e059 | [] | 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 | 976 | sce | Example16_4e.sce | clear;
clc;
//Average power dissipated by the gate
//Given Data
Vbb = 1.15;//in V
Vee=5.20;//in V
Vbe5=0.7;//in V
R=1.18;//in K
r=300;//in ohm
Vbecutin=0.5;//in V
//If all inputs are low then we assume that Q1,Q2 and Q3 are cutoff and Q4 is conducting
Ve=-Vbb-Vbe5;//Voltage at Common Emitter in V
//Current I in 1.18K Resistor
I = (Ve+Vee)/R;//in mA
I1=I;
//Output Voltage at Y
vy = -(r*I/1000)-Vbe5;//I is in mA so 1000 is multiplied
Vbe = vy-Ve;
if(Vbe<Vbecutin)
v=0.7;//voltage across Q5 in V
rQ5 = 1.5;//in K
i = (Vee-v)/rQ5;
v = 0.75;//from the graph in V
Ve = -v-Vbe5;
Vbe4=-Vbb-Ve;
end
vo = -vy-v;
Vb4 = Vbb;
Vc4 = -(I*r)/1000;//in V
Vcb4 = Vc4+Vb4;
Vb1 = v;
Vc1 = vy+Vbe5;
Vcb1 = Vc1 + Vb1;
Vbe1 = Vbe5;
Ve = -(Vb1+Vbe1);
I = (Ve + Vee)/R;
I2=I;
I =(I1+I2)/2;
disp('mA',I,'I=');
I2 = (Vee-v)/rQ5;
I3 = (Vee+vy)/rQ5;
I = I + I2 + I3;
P = Vee*I;
disp('mW',P,'Power dissipated = ');
//end |
11af2be7f298189c26d0f83cce36e773dbcd31a0 | 2a39d29b2cb27e98632f6810ed3c2a22a56fa8eb | /Materias/LabCalcNum/Rafael/simpson13.sci | f7e4bb920c844f0b58857e05de541b58f19b32de | [] | no_license | rafael747/my-stuff | 74358384bc1a5b381d1951dfaef87efdf4cb53c2 | 8614aefdc3ca9afdc1534557f73719af8494f7fa | refs/heads/master | 2021-01-17T12:47:48.206860 | 2020-06-04T15:10:20 | 2020-06-04T15:10:20 | 57,989,835 | 2 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 393 | sci | simpson13.sci | function [I] = simpson13(func, a, b, ns)
if modulo(ns,2) ~= 0 then
error("O número de segmentos deve ser par")
end
h = (b-a)/ns
x=a
soma=func(a)+func(b)
for i=1:ns-1
x=x+h
if modulo(i,2) == 0 then
soma = soma + 2*func(x)
else
soma=soma+4*func(x)
end
end
I=(h/3)*soma
endfunction
|
7f1e7a2b99491c90532a8a24da06b1a015cb06ed | 6eb42df0d9f452fee0d084e0b0058e4e4ac242ef | /Updated_Exercises_March_2015/Exercise 21/BenthicStorm.sce | 6fe45b38f92c4f5dae37b94fb560671f0920c9b4 | [] | no_license | huangqingze/ocean_modelling_for_beginners | b21c1b398efe91e4a3aa1fa5a1d732e2eb4ec16e | 3e73a511480c73f4e38b41c17b2defebb53133ed | refs/heads/main | 2023-07-03T12:00:01.326399 | 2021-08-14T21:16:12 | 2021-08-14T21:16:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Scilab | false | false | 2,840 | sce | BenthicStorm.sce | //*******************************************
// This is the Scilab script for Exercise 21.
//
// Use the help facility for more information
// on individual functions used.
//
// Author: J. Kaempf, 2015 (update)
//********************************************
// This script produces a gray-scale animation of benthic storms.
clf; scf(0); a=gcf(); a.figure_size= [1000,450];
// read input data
tin=read("t2.dat",-1,101); h0=read("h0.dat",-1,101);
u1=read("u2.dat",-1,101); v1=read("v2.dat",-1,101);
e1=read("eta1.dat",-1,101); e2=read("eta2.dat",-1,101);
x1 = (0:2:200)'; y1 = (0:2:100)'; // location vectors
[ntot nx] =size(u1); ntot = floor(ntot/51);
for n = 1:ntot // animation loop
time = real(6*n)-6;
// grab respective data blocks
jtop = (n-1)*51+1; jbot = jtop+50;
u2 = u1(jtop:jbot,1:101); v2 = v1(jtop:jbot,1:101);
t = tin(jtop:jbot,1:101);
eta1 = e1(jtop:jbot,1:101); eta2 = e2(jtop:jbot,1:101);
// calculate dynamic pressure (divided by g) in bottom layer
rho1 = 1027.25; rho2 = 1028.0;
P = rho1*eta1+(rho2-rho1)*eta2;
// scaling for graphical purposes
P = P - max(P) + 0.5*(max(P)-min(P));
// interpolation of flow field onto coarser grid
u(1:26,1:51) = 0.; v(1:26,1:51) = 0.; // scaling
for j = 1:25; for k = 1:50;
j1 = 2*j-1; j2 = j1+1; k1 = 2*k-1; k2 = k1+1;
uu = 0.; vv = 0.;
for jstar = j1:j2; for kstar = k1:k2;
uu = uu + u2(jstar,kstar); vv = vv + v2(jstar,kstar);
end; end;
u(j,k) = uu/4.; v(j,k) = vv/4.;
end; end;
x = (2:4:202)'; y = (2:4:102)'; // location vectors
drawlater; clf;
// definition of colormap
mapp = 1-graycolormap(64); a.color_map = mapp;
Sgrayplot(x1,y1,P',zminmax=[-5.,3.0]); //
xset("thickness",1); xset("fpf"," "); //suppress label output
col = 1:20; contour2d(x1,y1,P',[-10:2:1],col);// pressure contours
champ(x,y,u',v',1.0);//,rect=[0,0,200,100]); // vector plot
b = gca(); b.font_size = 3; b.data_bounds = [0,0;200,100];
b.auto_ticks = ["off","off","on"]; b.sub_ticks = [3,3];
b.x_ticks = tlist(["ticks", "locations","labels"],..
[0 50 100 150 200], ["0" "50" "100" "150" "200"]);
b.y_ticks = tlist(["ticks", "locations","labels"],..
[0 50 100], ["0" "50" "100"]);
xstring(80,100,"time = "+string(int(100*time/24)/100)+" days"); //add time
b = gce(); b.clip_state = "off"; b.font_size = 3;
xstring(115,-9.5,"x (km)"); // add label for x-axis
b = gce(); b.clip_state = "off"; b.font_size = 3;
xstring(-14,55,"y (km)"); // add label for y-axis
b = gce(); b.clip_state = "off"; b.font_size = 3;
drawnow;
// save frames as GIF files (optional)
//if n < 10 then
// xs2gif(0,'ex100'+string(n)+'.gif')
//else
// if n < 100 then
// xs2gif(0,'ex10'+string(n)+'.gif')
// else
// xs2gif(0,'ex1'+string(n)+'.gif')
// end
//end
end; // end of animation loop
|
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