代码搜索:Variance
找到约 2,271 项符合「Variance」的源代码
代码结果 2,271
www.eeworm.com/read/102394/15783969
c p_variance.c
#include
#include
#define BASE_LONG_DOUBLE
#include "templates_on.h"
#include "p_variance_source.c"
#include "templates_off.h"
#undef BASE_LONG_DOUBLE
#define BASE
www.eeworm.com/read/179705/9343585
c p_variance_source.c
/* statistics/p_variance_source.c
*
* Copyright (C) 1996, 1997, 1998, 1999, 2000 Jim Davies, Brian Gough
*
* This program is free software; you can redistribute it and/or modify
* it under the
www.eeworm.com/read/424281/10472360
c p_variance_source.c
/* statistics/p_variance_source.c
*
* Copyright (C) 1996, 1997, 1998, 1999, 2000, 2007 Jim Davies, Brian Gough
*
* This program is free software; you can redistribute it and/or modify
* it unde
www.eeworm.com/read/462044/7211666
asv courbe_moyenne_variance.asv
signal = polynome(5000);
moyenne = zeros(491,1);
taille = zeros(491,1);
for k = 1:491
taille(k) = 100 + 10*(k-1);
moyenne(k) = mean(signal(1:taille(k)));
end
plot (taille,moyenne
www.eeworm.com/read/462044/7211668
m moyenne_variance_doublement.m
N=5000;
x=doublement(0.147852369,N);
S=0;
for k=1:N;
S=S+x(k);
%x(k+1)=x(k)+x(k+1);
end
xmoyenne=S/N;
P=0;
for k=1:N;
P=P+(x(k))^2;
end
xvariance=P/N-xmoyenne^2;
www.eeworm.com/read/462044/7211674
asv moyenne_variance_doublement.asv
N=000;
x=doublement(0.147852369,N);
S=0;
for k=1:N;
S=S+x(k);
%x(k+1)=x(k)+x(k+1);
end
xmoyenne=S/N;
P=0;
for k=1:N;
P=P+(x(k))^2;
end
xvariance=P/N-xmoyenne^2;
www.eeworm.com/read/462044/7211676
asv moyenne_variance_congruence.asv
N=1000;
x=congruence(5,N);
S=0;
for k=1:N;
S=S+x(k);
%x(k+1)=x(k)+x(k+1);
end
xmoyenne=S/N;
P=0;
for k=1:N;
P=P+(x(k))^2;
end
xvariance=P/N-xmoyenne^2;
www.eeworm.com/read/462044/7211678
m moyenne_variance_polynome.m
N=5000;
x=polynome(N);
S=0;
for k=1:N;
S=S+x(k);
%x(k+1)=x(k)+x(k+1);
end
xmoyenne=S/N;
P=0;
for k=1:N;
P=P+(x(k))^2;
end
xvariance=P/N-xmoyenne^2;
www.eeworm.com/read/462044/7211687
m moyenne_variance_congruence.m
N=5000;
x=congruence(5,N);
S=0;
for k=1:N;
S=S+x(k);
%x(k+1)=x(k)+x(k+1);
end
xmoyenne=S/N;
P=0;
for k=1:N;
P=P+(x(k))^2;
end
xvariance=P/N-xmoyenne^2;