代码搜索：Generates
找到约 10,000 项符合「Generates」的源代码
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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 mean
%
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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 mean
%
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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 mean
%
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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 mean
%
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m randmcg.m
function r = randmcg(p,q)
%RANDMCG Multiplicative congruential uniform random number generator.
% Based on the parameters used by MATLAB version 4.
% The statement
% r = randmcg
% genera
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m isfixed.m
%ISFIXED Test on fixed mapping
%
% I = ISFIXED(W)
% ISFIXED(W)
%
% True if the mapping type of W is 'fixed' (see HELP MAPPINGS). If called
% without an output argument ISFIXED generates an erro
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m iscombiner.m
%ISCOMBINER Test whether the argument is a combiner mapping
%
% OK = ISCOMBINER(W)
% ISCOMBINER(W)
%
% INPUT
% W Mapping
%
% OUTPUT
% OK 1/0 indicating if the mapping type of W is COMBINER
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m istrained.m
%ISTRAINED Test on trained mapping
%
% I = ISTRAINED(W)
% ISTRAINED(W)
%
% True if the mapping type of W is 'trained' (see HELP MAPPINGS). If
% called without an output argument ISTRAINED gener