代码搜索:Matrix
找到约 10,000 项符合「Matrix」的源代码
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www.eeworm.com/read/378186/9242945
f dgetrf.f
SUBROUTINE DGETRF( M, N, A, LDA, IPIV, INFO )
Use numerics
*
* -- LAPACK routine (version 1.0b) --
* Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
* Courant Institut
www.eeworm.com/read/377873/9260160
m createdistmat.m
function distMat = createDistMat (proj, metric)
%
% PROTOTYPE
% function distMat = createDistMat (proj, metric)
%
% USAGE EXAMPLE(S)
% pcaDistMatCos = createDistMat(pcaProj, 'COS');
%
% GENER
www.eeworm.com/read/377779/9262592
m butler.m
%This Program is Designed To Simulate The Operation Of Butler Matrix Using Hamming Window
%General Antenna Array Specifications
m = input ('The Number of Array Elements : ') ;
Msgbox ('Enter The I
www.eeworm.com/read/181178/9268810
htm chap31.htm
Intro to Algorithms: CHAPTER 31: MATRIX OPERATIONS
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cpp text1.cpp
#include
#include
#include
float matrix[100][100],x[100]; /* 记录总方程的数组,解的数组 */
int a[100]; /* 记录基础,非基础的解的情况,0:非基础,1:基础 */
int m,n,s,type; /* 方程变量,约束数,求最大最小值的类型,0:最小 1:
www.eeworm.com/read/376842/9303767
m caleeof.m
% [EOFs,PC,EXPVAR] = calEeof(M,N,METHOD,NLAG,DT) Compute EEOF
%
% => Compute N Extended EOF of a M(TIME*MAP) matrix.
% METHOD is the EOF method computing (see caleof.m)
% NLAG is the number of map you
www.eeworm.com/read/376842/9303792
m map2mat.m
% D = MAP2MAT(F,C) Reshaping matrix
%
% => Conversion of a 'map' matrix C(TIME,LON,LAT) into a D(TIME,PT) matrix
% under the mask F(LON,LAT).
% F is a matrix contenaing 1 where you would like to keep
www.eeworm.com/read/180414/9309197
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/376627/9311539
c 逆矩阵.c
#define N 5 /*[注]:修改6为你所要的矩阵阶数*/
#include "stdio.h"
#include "conio.h"
/*js()函数用于计算行列式,通过递归算法实现*/
int js(s,n)
int s[][N],n;
{int z,j,k,r,total=0;
int b[N][N];/*b[N][N]用于存放,在矩阵s[
www.eeworm.com/read/376531/9315237
rd predict.randomforest.rd
\name{predict.randomForest}
\alias{predict.randomForest}
\title{predict method for random forest objects}
\description{
Prediction of test data using random forest.
}
\usage{
\method{predict}{random