代码搜索：deviation
找到约 1,443 项符合「deviation」的源代码
代码结果 1,443
www.eeworm.com/read/184763/9079960
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/184746/9081629
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/381211/9104220
m erfx.m
function y=erfx(mu,sigma,x)
% y=erfx(mu,sigma,x)
%
% erfx is the probability that a normally distributed random
% variate with mean mu and standard deviation sigma lies in
% the range {mu,mu+x}.
www.eeworm.com/read/184067/9123496
m std.m
function y = std(x,flag,dim)
%列状数据标准差
%例如
% A=[11 4 0.2;22 3 0.5;0 3 0.4];
% std(A)
%
%STD Standard deviation.
% For vectors, STD(X) returns the standard deviation. For matrices,
%
www.eeworm.com/read/182790/9190905
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with mean
%
www.eeworm.com/read/181963/9223826
m ikeda.m
%function [x,y]=ikeda(n,mu,x0,y0)
%Syntax: [x,y]=ikeda(n,mu,x0,y0)
%_____________________________________
%
% Simulation of the Ikeda map.
% x'=1+mu*(xcos(t)-ysin(t)
% y'=mu*(xsin(t)+ycos(
www.eeworm.com/read/375337/9363685
m aanormalpdf.m
function[x]=aanormalpdf(m,s,N)
%function[x]=aanormalpdf(m,s,N);
%s=standard deviation;m=mean value;
for i=1:N
r1=rand;
r2=rand;
z(i)=sqrt(-2*log(r1))*cos(2*pi*r2);
end;
x=s*z+m;
www.eeworm.com/read/375337/9363688
m aaexponentialpdf.m
function[x,m,sd]=aaexponentialpdf(b,N)
%function[x,m,sd]=aaexponentialpdf(b,N)
for i=1:N
x(i)=-b*log(rand);%log is MATLAB function that gives
end; %the natural algorithm;
m
www.eeworm.com/read/177292/9460461
cpp randnorm.cpp
//--------------------------------------------------------------------
// randnorm.cpp
// ------------
// Generation of normally distributed random numbers
// Adopted from Tom Schneider
/
www.eeworm.com/read/177012/9475078
html statisticalcategorydataset.html
001 /* ===========================================================
002 * JFreeChar