代码搜索:Generates

找到约 10,000 项符合「Generates」的源代码

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m histndim.m

function [v,t]=histndim(x,b,mode) %HISTNDIM - generates and/or plots an n-dimensional histogram % % Inputs: X(m,d) is the input data: each row is one d-dimensiona data point % B(3,d)
www.eeworm.com/read/369219/9659124

m sacubic.m

function [ab,vE,E] = sacubic(N); % % Ph.D. Thesis % Leandro Nunes de Castro % October, 1999. % Function generates n-bit binary strings antibody most uniformly % distributed over the search spac
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m donuts.m

function S = donuts; % % Ph.D. Thesis % Leandro Nunes de Castro % February, 2000 % Function generates the dataset for the 2-DONUTS problem % % DONUT 1 step = 0.2; t = 0:step:4*pi; l = le
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m saml.m

function [ab,vE,E] = saml(N); % % Ph.D. Thesis % Leandro Nunes de Castro % October, 1999. % Function generates n-bit binary strings antibody most uniformly % distributed over the search space
www.eeworm.com/read/173140/9670715

m bdt_f529.m

% MATLAB script that generates the probability of error versus the signal to noise ratio initial_snr=0; final_snr=15; snr_step=1; tolerance=1e-7; % Tolerance used for the integration minus_in
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m bdt_f527.m

% MATLAB script that generates the probability of error versus the signal to noise ratio initial_snr=0; final_snr=15; snr_step=1; tolerance=1e-7; % Tolerance used for the integration minus_in
www.eeworm.com/read/367275/9763083

c gen.c

/* Generates system parameters. * Reads config file from gen.cnf by default * Ben Lynn */ /* Copyright (C) 2001 Benjamin Lynn (blynn@cs.stanford.edu) See LICENSE for license */ #include "ibe.h"
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m covm.m

function [CC,NN] = covm(X,Y,Mode); % COVM generates covariance matrix % X and Y can contain missing values encoded with NaN. % NaN's are skipped, NaN do not result in a NaN output. % The output gives
www.eeworm.com/read/270032/11050567

c urot.c

/* urot.c */ /* Generates a uniform random rotation */ /* Ken Shoemake, September 1991 */ #include #include #include "GraphicsGems.h" /* Define an INT32 value to be a 32 bit sign
www.eeworm.com/read/415531/11066425

m mlsd2dlinesprecompute.m

function mlsd = MLSD2DlinesPrecompute(varargin) % MLSD2DLINESPRECOMPUTE Generates a 2D MLSD structure. % % function mlsd = MLSD2DlinesPrecompute(p,v,type) % % This function precomputes a set of valu