代码搜索：Generates
找到约 10,000 项符合「Generates」的源代码
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www.eeworm.com/read/411674/11233536
m contents.m
% Data sets used by the STPRtool.
%
% andersons_task - (dir) Input for demo on Generalized Anderson's task.
% binary_separable - (dir) Input for demo on Linear classification.
% gmm_sample - (
www.eeworm.com/read/148257/12479833
m xmatrix.m
function X=Xmatrix(n)
% The command X=Xmatrix(n) generates
% a matrix of 0's and 1's whose nonzero
% entries are in the form a letter X,
% that is, the main diagonal and the
% anti-diagonal consi
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m zmatrix.m
function Z=Zmatrix(n)
% The command Z=Zmatrix(n) generates
% a matrix of 0's and 1's whose nonzero
% entries are in the form a letter Z,
% that is, the first and last rows
% and the anti-diagonal
www.eeworm.com/read/148257/12479872
m gridmat.m
function G=gridmat(n)
% The command G=gridmat(n) generates a
% matrix in which every row is [1,2,...,n]
G=ones(n,1)*[1:n];
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m checker.m
function C=checker(n)
% The command C=checker(n) generates an nxn matrix C
% whose entries alternate between 1 and 0. Specifically
% C(i,j)=1 if i+j is even, otherwise C(i,j)=0. For example
% the
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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/335805/12497533
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/335746/12501249
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GAGAUSS generates two independent Gaussian random variables with mean
www.eeworm.com/read/335741/12501283
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GAGAUSS generates two independent Gaussian random variables with mean
www.eeworm.com/read/335728/12501911
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GAGAUSS generates two independent Gaussian random variables with mean