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www.eeworm.com/read/252063/12304829

c axb.c

/* Copyright (c) Colorado School of Mines, 2003.*/ /* All rights reserved. */ #include "cwp.h" /*********************** self documentation **********************/ /**********
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www.eeworm.com/read/252063/12304896

c sqr.c

/* Copyright (c) Colorado School of Mines, 2003.*/ /* All rights reserved. */ /*********************** self documentation **********************/ /******************************
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www.eeworm.com/read/338293/12314424

m prrgmres.m

function [X,rho,eta] = prrgmres(A,L,N,b,k) %PRRGMRES Preconditioned RRGMRES algorithm for square inconsistent systems % % [X,rho,eta] = rrgmres(A,L,N,b,k) % % PRRGMRES applies smoothing-norm prec
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www.eeworm.com/read/338082/12325308

m huff_tbl.m

function table=huff_tbl(fre) % Usage: table=huff_tbl(fre) % generating huffman table to be used by huffman.m % Using tree search method % % fre: p x 1 vector, consists of frequency counts of each %
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www.eeworm.com/read/149739/12353491

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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www.eeworm.com/read/149739/12353914

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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www.eeworm.com/read/337307/12377476

m findp.m

function P = findp(A); %FINDP Nonsingular basis permutation matrix. % P = FINDP(A) locates a permutation matrix such that % the leading square matrix is nonsingular.If A has % more column
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www.eeworm.com/read/250746/12386985

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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www.eeworm.com/read/148895/12415863

readme

SparseLib++ v. 1.6: Numerical Sparse Matrix Classes in C++ SparseLib++ is a C++ class library for efficient sparse matrix computations across various computational platforms. The software
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www.eeworm.com/read/336521/12439481

m disteusq.m

function d=disteusq(x,y,mode,w) %DISTEUSQ calculate euclidean, squared euclidean or mahanalobis distance D=(X,Y,MODE,W) % % Inputs: X,Y Vector sets to be compared. Each row contains a data
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