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/222060/14708735
h m3.h
#ifndef _M3_H
#define _M3_H
/**
* @file m3.h
* TAD 3x3 Matrix
* @author Marcelo Gattass
* @date Jul10,2006
*/
#ifdef __cplusplus
extern "C" {
#endif
/**
* computes the d
www.eeworm.com/read/221410/14741764
m aalms1.m
function[w,y,e,J,w1]=aalms1(x,dn,mu,M)
%function[w,y,e,J,w1]=aalms1(x,dn,mu,M);
%this function provides also the changes of filter coefficients
%versus iterations;
%all quantities are real-value
www.eeworm.com/read/221225/14752787
m stepfcm.m
function [U_new, center, obj_fcn] = stepfcm(data, U, cluster_n, expo)
%STEPFCM One step in fuzzy c-mean clustering.
% [U_NEW, CENTER, ERR] = STEPFCM(DATA, U, CLUSTER_N, EXPO)
% performs one ite
www.eeworm.com/read/221225/14752799
asv stepfcm.asv
function [U_new, center, obj_fcn] = stepfcm(data, U, cluster_n, expo)
%STEPFCM One step in fuzzy c-mean clustering.
% [U_NEW, CENTER, ERR] = STEPFCM(DATA, U, CLUSTER_N, EXPO)
% performs one ite
www.eeworm.com/read/221024/14773923
html http:^^www.cs.cornell.edu^info^people^csun^psspd^index.html
MIME-Version: 1.0
Server: CERN/3.0
Date: Sunday, 24-Nov-96 23:03:04 GMT
Content-Type: text/html
Content-Length: 1089
Last-Modified: Thursday, 17-Oct-96 19:54:58 GMT
PSSPD: Parallel Sol
www.eeworm.com/read/220696/14791556
m grdecord.m
function [Dec,Ord]=grDecOrd(E)
% Function [Dec,Ord]=grDecOrd(E) solve
% the problem about decomposition of the digraph
% to the sections with mutually accessed vertexes
% (strongly connected comp
www.eeworm.com/read/120309/14806651
htm chap31.htm
Intro to Algorithms: CHAPTER 31: MATRIX OPERATIONS
www.eeworm.com/read/120275/14808063
h arisimageroutines1.h
// ArisImageRoutines1.h: interface for the ArisImageRoutines class.
//
// Author: Aris Adrianto S
// email: arisitb@yahoo.com
// home: http://arisitb.cjb.net
//
// "free is free, modify it as u
www.eeworm.com/read/119681/14824431
m validate.m
function [cost,nmodel,output] = validate(model, Xtrain, Ytrain, Xtest, Ytest,estfct, trainfct, simfct)
% Validate a trained model on a fixed validation set
%
% >> cost = validate({X,Y,type,gam,sig2}