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/494076/6387634

m tdma.m

function X = TDMA(A,D,C,B) % Tridiagonal Matrix Algorithm(三对角阵算法) % % Function: to solve the Tridiagonal system CX=B, where C is a Tridiagonal matrix % % Input - A is the subdiagonal of the
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m nbayesc.m

%NBAYESC Bayes Classifier for given normal densities % % W = NBAYESC(U,G) % % INPUT % U Dataset of means of classes % G Covariance matrices (optional; default: identity matrices) % % OUTP
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m kcentres.m

%KCENTRES Finds K center objects from a distance matrix % % [LAB,J,DM] = KCENTRES(D,K,N,FID) % % INPUT % D Distance matrix between, e.g. M objects (may be a dataset) % K Number of center
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int

NAME int - return the integer part of a number or of numbers in a value SYNOPSIS int(x) TYPES If x is an object of type xx, int(x) requires xx_int to have been defined; other conditi
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frac

NAME frac - return the fractional part of a number or of numbers in a value SYNOPSIS frac(x) TYPES If x is an object of type xx, frac(x) requires xx_frac to have been defined; other
www.eeworm.com/read/491219/6441875

cpp matrixalg.cpp

// MatrixAlg.cpp #include #include #include "Matrix.h" namespace az { namespace alg { //!\brief cholesky factorization of A1: L*L' // this algorithm comes from the
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m myhilb.m

function[A,B]=myhilb(n,m) % MYHILB 生成一个Hilbert矩阵 % [A,B]=myhilb(n,m) % where % n,m are size of the Hilbert matrix,if only one % argument given,then a square matrix is generated % A is the Hil
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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/489609/6466701

rd kernelpls.fit.rd

%% $Id: kernelpls.fit.Rd 132 2007-08-24 09:21:05Z bhm $ \encoding{latin1} \name{kernelpls.fit} \alias{kernelpls.fit} \title{Kernel PLS (Dayal and MacGregor)} \description{Fits a PLSR model with the ke
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cpp hamsazeh.cpp

#include #include /* This program makes a new 3x3 matrix by removing one Row and one Column from the original 4x4 matrix BY: Morteza Zafari 2001. */ void main(){ int