代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
代码结果 10,000
www.eeworm.com/read/241807/13115281
m myhilb1.m
function[A,B]=myhilb(n,m)
%问题：生成一个Hilbert矩阵，该矩阵是一个n×m矩阵，它的第i行
%第j列的元素为1/(i+j-1)。如果想在编写的函数中实现下面几点：
%1）如果只给出一个输入参数，则会自动生成一个方阵，即有m=n
%2）如果想返回两个参数A和B，则返回的B矩阵为A矩阵的平方，
% 即B=A'A
%3)在函数中给出合适的帮助信息，包括基本 ...
www.eeworm.com/read/326727/13120212
h jama_eig.h
#ifndef JAMA_EIG_H
#define JAMA_EIG_H
#include "tnt_array1d.h"
#include "tnt_array2d.h"
#include "tnt_math_utils.h"
#include
// for min(), max() below
#include
// for abs() bel
www.eeworm.com/read/139774/13135074
cpp lp.cpp
#include
#include
#include
/////////////////////////////////////////////////////////
/* 求换入基 */
int Rj(double **matrix, int s,int n)
{
int i;
for(i=0;i
www.eeworm.com/read/241396/13147431
m makeay.m
function [Ay, by] = makeAy(baseMVA, ng, gencost, pgbas, qgbas, ybas)
% makeAy: Make the A matrix and RHS for the CCV formulation.
%
% [Ay, by] = makeAy(baseMVA, ng, gencost, pgbas, qgbas, ybas) con
www.eeworm.com/read/326313/13148545
m issymbolic.m
function yesno = issymbolic(S)
% ISSYMBOLIC -- checks whether a matrix contains symbolic variables
%
% yesno = issymbolic(S)
%
% This is NOT the converse of ISNUMERIC. The purpose of thi
www.eeworm.com/read/326313/13148575
m iszero.m
function yesno = iszero(P)
% ISZERO -- check whether matrix polynomial is zero
%
% yesno = iszero(P)
%
% If the matrix polynomial P contains only entries which are zero
% (within toleran
www.eeworm.com/read/326313/13148659
m issymbolic.m
function yesno = issymbolic(P)
% ISSYMBOLIC -- check whether matrix polynomial contains symbolic variables
%
% yesno = issymbolic(P)
%
% This is NOT the converse of ISNUMERIC. The purpose
www.eeworm.com/read/326313/13148667
m mpower.m
function Pn = mpower(P,n)
% MPOWER -- power of matrix polynomial
%
% Pn = P^n
% Pn = mpower(P,n)
%
% This function is not meant to be called by the user. It is called by
% Matla
www.eeworm.com/read/241323/13156422
m contents.m
% SCHRODINGER TOOLBOX
% Version of April 1999
%==========================================================================
% is a toolbox of MATLAB files which which gives the neophyte
%
www.eeworm.com/read/139320/13161329
m latentlssvm.m
function [zt,model] = latentlssvm(varargin)
% Calculate the latent variables of the LS-SVM classifier at the given test data
%
% >> Zt = latentlssvm({X,Y,'classifier',gam,sig2,kernel}, {alpha,b}, Xt)