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/278024/10581339
asm jb8-psu.asm
*****************************************************************************
* Copyright (c) Motorola 2002 *
* File Name: JB8-PSU.ASM *
*
www.eeworm.com/read/423113/10584721
m similaritymatrix.m
% Works to obtain the Similarity Matrix between two HSV color
% histograms. This is to be used in the Histogram Quadratic
% Distance equation.
% -------------------------------------------------
www.eeworm.com/read/352044/10586244
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/423100/10587554
m interleaving.m
function s = interleaving(r,n,m)
%r: input signal
%s: output signal
%n: number of rows in the interleaving matrix
%m: number of colums in the interleaving matrix
% ------- interleaving.m -----------
www.eeworm.com/read/159921/10587749
m normald.m
function [p]=normald(X,mi,sigma)
% [p]=normald(X,mi,sigma)
%
% NORMALD calculates the value of many-dimensional probability density
% of the normal (Gaussian) distribution for given vectors in t
www.eeworm.com/read/159921/10587893
m mmln.m
function [mi,sigma,solution,minp,topp,N,t]=mmln(X,epsilon,tmax,t,N)
% MMLN Minimax learning for Gaussian distribution.
% [mi,sigma,solution,minp,topp,N,t]=mmln(X,epsilon,tmax,t,N)
%
% MMLN implem
www.eeworm.com/read/422941/10599958
m jacobinomax.m
%%%%%%%%%%%%%%%%%%%JACOBI ALGORITHM WITHOUT SORTING%%%%%%%%%%%%%%%%%%%%%%%
%%INPUT
%%randMatrix is the matrix we wish to diagonalize. It's only random for the
% first interation
%%k is our curre
www.eeworm.com/read/422941/10599963
m jacobi.m
%%%%%%%%%%%%%%%%%%%%%JACOBI ALGORITHM WITH SORTING%%%%%%%%%%%%%%%%%%%%%%%%%
%%INPUT
%%randMatrix is the matrix we wish to diagonalize. It's only random for the
% first interation
%%k is our cu
www.eeworm.com/read/422941/10599982
m testjacobisamematrices.m
%testJacobiSameMatrices calls jacobi() for ten random matrices and uses
%the same matrices with jacobiNoMax() for ten random matrices as well.
%We then graph the results. We also display the origi
www.eeworm.com/read/422930/10601466
vb linearequations.vb
' The GeneralMatrix and LUDecomposition classes reside in the
' Extreme.Mathematics.LinearAlgebra namespace.
Imports Extreme.Mathematics.LinearAlgebra
Namespace Extreme.Mathematics.QuickStart.VB