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/365357/9866471
m lambda2.m
function [afixed,sqnorm,Qahat,Z] = lambda2 (afloat,Qahat)
%LAMBDA2: Integer ambiguity estimation using LAMBDA (basic version)
%
% This routine performs an integer ambiguity estimation using the
%
www.eeworm.com/read/365319/9869818
m contents.m
% InSAR utility toolbox.
% Version 1.3 26-Jan-2001
%
% MATLAB Toolbox for InSAR -- Delft University of Technology.
%
%
% InSAR Utilities:
% cpxmultilook - Multilooking (spatial averaging) of co
www.eeworm.com/read/365161/9876530
m randvec.m
function x=randvec(n,m,c)
%RANDVEC Generate gaussian random vectors X=(N,M,C)
% generates a random matrix of size (n,p) where p is the maximum dimension of m or c
% Each row of x is independent wi
www.eeworm.com/read/365161/9876570
m rdct.m
function y=rdct(x,n)
%RDCT Discrete cosine transform of real data Y=(X,N)
% Data is truncated/padded to length N.
%
% This routine is equivalent to multiplying by the matrix
%
% rdct(eye(n
www.eeworm.com/read/364978/9885177
inl linearequation.inl
//LinearEquation.inl 线性方程(组)求解函数(方法)定义
// Ver 1.0.0.0
// 版权所有(C) 何渝, 2002
// 最后修改: 2002.5.31
#ifndef _LINEAREQUATION_INL
#define _LINEAREQUATION_INL
//全选主元高斯消去法
template
int L
www.eeworm.com/read/364264/9916776
m sus.m
function [indid,indindex,popexpected,popnormfitness]=sus(pop,params,state,nsample,toavoid)
%SUS Sampling of GPLAB individuals by the SUS method.
% SUS(POP,PARAMS,STATE,NSAMPLE,TOAVOID) returns
www.eeworm.com/read/364264/9916895
m roulette.m
function [indid,indindex,popexpected,popnormfitness]=roulette(pop,params,state,nsample,toavoid)
%ROULETTE Sampling of GPLAB individuals by the roulette method.
% ROULETTE(POP,PARAMS,STATE,NSAMP
www.eeworm.com/read/364047/9923475
cpp main.cpp
#include "Matrix.h"
int main()
{
Matrix m,n,c;
m.Input();
n.Input();
c.ADD(m,n);
c.Output();
return 0;
}
www.eeworm.com/read/364035/9924001
h decodeutil.h
#include
#include
#include
#include
int *ivector(int ilow,int ihigh);
int **imatrix(int ilow,int ihigh,int jlow,int jhigh);
double *vector(int ilow,i
www.eeworm.com/read/168218/9931622
out allpairs.out
Enter number of edges of 5 vertex weighted digraph
enter edge 1
enter edge 2
enter edge 3
enter edge 4
enter edge 5
enter edge 6
enter edge 7
The weighted digraph is
0 4 2 0 8
0 0 0 4 5
0