代码搜索:Vector

找到约 10,000 项符合「Vector」的源代码

代码结果 10,000
www.eeworm.com/read/360770/10079290

m bsext0.m

function [x,e,p] = bsext0 (x,t0,t1,tol,q,f,dm) %------------------------------------------------------------------ % Usage: [x,e,p] = bsext0 (x,t0,t1,tol,q,f,dm); % % Description: Use the Bu
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m stiff0.m

function [x,e,s] = stiff0 (x,t0,t1,tol,q,f,fx,ft,dm) %------------------------------------------------------------------ % Usage: [x,e,s] = stiff0 (x,t0,t1,tol,q,f,fx,ft,dm); % % Descriptio
www.eeworm.com/read/360266/10105224

m scm_mex_core.m

%SCM_MEX_CORE SCM_CORE written in ANSI-C % This function calculates the channel coefficients for % a geometric MIMO channel model. To compile the C-function % in MATLAB, type % % m
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cpp vecprint.cpp

/* * This file contains code from "C++ Primer, Fourth Edition", by Stanley B. * Lippman, Jose Lajoie, and Barbara E. Moo, and is covered under the * copyright and warranty notices given in that
www.eeworm.com/read/360190/10107105

cpp vecprintmain.cpp

/* * This file contains code from "C++ Primer, Fourth Edition", by Stanley B. * Lippman, Jose Lajoie, and Barbara E. Moo, and is covered under the * copyright and warranty notices given in that
www.eeworm.com/read/360190/10107157

cpp vec_init.cpp

/* * This file contains code from "C++ Primer, Fourth Edition", by Stanley B. * Lippman, Jose Lajoie, and Barbara E. Moo, and is covered under the * copyright and warranty notices given in that
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cpp screentest.cpp

/* * This file contains code from "C++ Primer, Fourth Edition", by Stanley B. * Lippman, Jose Lajoie, and Barbara E. Moo, and is covered under the * copyright and warranty notices given in that
www.eeworm.com/read/360190/10107435

cpp vec_assign.cpp

/* * This file contains code from "C++ Primer, Fourth Edition", by Stanley B. * Lippman, Jose Lajoie, and Barbara E. Moo, and is covered under the * copyright and warranty notices given in that
www.eeworm.com/read/164407/10110560

cpp e.cpp

/* ----------------------- MODULE feigen.cpp ------------------------ * * Reference: "Numerical Algorithms with C by G. Engeln-Mueller and * * F. Uhlig, Springer-Verlag, 1996"
www.eeworm.com/read/359900/10116752

m bayesgauss.m

function d = bayesgauss(X, CA, MA, P) %BAYESGAUSS Bayes classifier for Gaussian patterns. % D = BAYESGAUSS(X, CA, MA, P) computes the Bayes decision % functions of the n-dimensional patterns in