代码搜索：Generates
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www.eeworm.com/read/147862/12513657
m contents.m
% Higher-Order Spectral Analysis Toolbox.
% Version 2.0.3 (R12 compliant) 27 Dec 2000
%
% New Features.
% Readme - Important release information about the HOSA Toolbox
%
www.eeworm.com/read/248862/12537238
m contents.m
% Higher-Order Spectral Analysis Toolbox.
% Version 2.0.3 (R12 compliant) 27 Dec 2000
%
% New Features.
% Readme - Important release information about the HOSA Toolbox
%
www.eeworm.com/read/202680/15375899
m randssp.m
function r = randssp(p,q)
%RANDSSP Multiplicative congruential uniform random number generator.
% Based on the parameters used by IBM's Scientific Subroutine Package.
% The statement
% r = ran
www.eeworm.com/read/192551/8375558
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/192102/8405112
htm ch10_01.htm
The CGI.pm Module (Perl in a Nutshell, 2nd Edition)
www.eeworm.com/read/391275/8413100
m test2.m
% QMG test 2. This test generates a torus made up of 36
% biquadratic patches and generates a mesh for
% it. The mesh size is restricted to 0.5
t = gmmake_torus(1,2,6);
show = 0;
global interactive
www.eeworm.com/read/389457/8518305
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/188457/8538884
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 w
www.eeworm.com/read/289166/8570480
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/187956/8585717
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