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/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