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找到约 10,000 项符合「Best 开发教程」的源代码

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www.eeworm.com/read/367440/9748407

m trimmedmse.m

function [cost,retained] = trimmedmse(R,beta,V); % Calculate trimmed mean of the squared value of the residuals. % % cost = trimmedmse(R); % % The factor where one trimms off the normed residuals is
www.eeworm.com/read/266538/11219989

cpp frequent.cpp

// Author: Adrian Kuegel // Date: 20. 10 2006 #include #include #define MAXN (1
www.eeworm.com/read/266537/11220239

c addition.c

/* Contest : Ulm Local Contest 1997 * Problem A : Addition Chains * Method : Backtracking * Author : Mark Dettinger * Date : June 22, 1997 */ #include #include
www.eeworm.com/read/236937/13990419

c inet_ntop.c

/* eXosip - This is the eXtended osip library. Copyright (C) 2002,2003,2004,2005,2006,2007 Aymeric MOIZARD - jack@atosc.org eXosip is free software; you can redistribute it and/or modify
www.eeworm.com/read/203815/15351212

c pso-tsp.c

#include #include #include #include #define Nmax 110 //最大的节点数 #define Vmax 110 //最大的速度交换子个数 #define Max_size 130 // swarm的最大个数 #define MaxEdge 150000 //最大的
www.eeworm.com/read/202785/15372983

c evaluate.c

/* * GENESIS Copyright (c) 1986, 1990 by John J. Grefenstette * This program may be freely copied for educational * and research purposes. All other rights reserved. * * file: evalua
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c elitist.c

/* * GENESIS Copyright (c) 1986, 1990 by John J. Grefenstette * This program may be freely copied for educational * and research purposes. All other rights reserved. * * file: elitis
www.eeworm.com/read/202785/15373028

c select.c

/* * GENESIS Copyright (c) 1986, 1990 by John J. Grefenstette * This program may be freely copied for educational * and research purposes. All other rights reserved. * * file: select
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m select6.m

function [out,coefs,pin,best,bestpin]=select6(chrom,d,x,y,s1,s2,s3,best,bestpin) % % out=select(in); % % selects a new population % % % % Mix up the population % chrom=shuffle(chrom); %
www.eeworm.com/read/201218/15413194

m trimmedmse.m

function [cost,retained] = trimmedmse(R,beta,V); % Calculate trimmed mean of the squared value of the residuals. % % cost = trimmedmse(R); % % The factor where one trimms off the normed residuals is