代码搜索：Matrices
找到约 3,616 项符合「Matrices」的源代码
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www.eeworm.com/read/429279/8813474
readme
LAPACK++ v. 2.x
http://www.sourceforge.net/projects/lapackpp
Download page: http://sourceforge.net/project/showfiles.php?group_id=99696
LAPACK++ is a library for high performance linear alg
www.eeworm.com/read/284881/8885341
m eofssa.m
function [Angles,Angles2]=EOFssa(A,B);
% This function operates on two orthogonal matrices (each forming a
% subspace of Rn). First the angle between the first colomn of each matrix
% is determine
www.eeworm.com/read/428167/8885978
m dist2.m
function n2 = dist2(x, c)
%DIST2 Calculates squared distance between two sets of points.
%
% Description
% D = DIST2(X, C) takes two matrices of vectors and calculates the
% squared Euclidean dis
www.eeworm.com/read/284556/8919241
c matmult.c
/* matmult.c
* Test program to do matrix multiplication on large arrays.
*
* Intended to stress virtual memory system.
*
* Ideally, we could read the matrices off of the file system,
*
www.eeworm.com/read/181830/9235795
m uminus.m
function Q = uminus(P)
% UMINUS -- unary minus for matrix polynomials
%
% Q = - P
% Q = uminus(P)
%
% This routine is not meant to be called by the user. It is called by
% Matla
www.eeworm.com/read/178061/9420805
m kr.m
function AB = kr(A,B);
%KR Khatri-Rao product
%
% The Khatri - Rao product
% For two matrices with similar column dimension the khatri-Rao product
% is kr(A,B) = [kron(B(:,1),A(:,1) .... kron(B(:
www.eeworm.com/read/177674/9442460
m dist2.m
function n2 = dist2(x, c)
%DIST2 Calculates squared distance between two sets of points.
%
% Description
% D = DIST2(X, C) takes two matrices of vectors and calculates the
% squared Euclidean distance
www.eeworm.com/read/176823/9483159
m dist2.m
function n2 = dist2(x, c)
%DIST2 Calculates squared distance between two sets of points.
%
% Description
% D = DIST2(X, C) takes two matrices of vectors and calculates the
% squared Euclidean distance
www.eeworm.com/read/166515/10017172
m matlabshibbsr.m
function B = shibbs(X,m)
%
% Developpment version
%================================================================
% Blind separation of real signals with SHIBBS. Version 1.5 Dec. 1997.
%
% Usage
www.eeworm.com/read/166509/10017300
m jdiag.m
function [ V , D ] = joint_diag(A,jthresh)
% function [ V , D ] = joint_diag(A,jthresh)
%
% Joint approximate of n (complex) matrices of size m*m stored in the
% m*mn matrix A by minimization of