代码搜索：Algorithm
找到约 10,000 项符合「Algorithm」的源代码
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www.eeworm.com/read/109011/6177956
java randomnum.java
/*
* Copyright 1999,2004 The Apache Software Foundation.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
www.eeworm.com/read/105644/6197586
java maximumfitnessevaluations.java
/*
* MaximumFitnessEvaluations.java
*
* Created on January 26, 2003, 2:18 PM
*
*
* Copyright (C) 2003 - Edwin S. Peer
*
* This program is free software; you can redistribute it and/or modify
www.eeworm.com/read/105644/6197588
java maximumrestarts.java
/*
* MaximumRestarts.java
*
* Created on February 4, 2003, 10:49 AM
*
*
* Copyright (C) 2003 - Edwin S. Peer
*
* This program is free software; you can redistribute it and/or modify
* it un
www.eeworm.com/read/102395/6233331
help_stg_labels main_panel.help_stg_labels
Start the Animation
Adjustments
About
About the Algorithm
Compare Algorithms
Exit
www.eeworm.com/read/101082/6240596
c lfind.c
/* */
/* 3.0 SID # 1.2 */
/*LINTLIBRARY*/
/*
* Linear search algorithm, generalized from Knuth (6.1) Algorithm Q.
*
* This version no longer has anything to do with Knuth's Algori
www.eeworm.com/read/407979/6319383
java controlpanel.java
/* ControlPanel class */
import java.awt.*;
import java.applet.*;
import java.io.*;
import java.net.*;
import java.util.*;
/**
* This class extends the java.awt.Panel class to form
*
www.eeworm.com/read/331502/6327340
m contents.m
% Higher-Order Spectral Analysis Toolbox.
% Version 2.0.2 21-Nov-1997
%
% New Features.
% Readme - Important release information about the HOSA Toolbox
% (double click on
www.eeworm.com/read/494148/6379170
txt @psc_readme_72047_1.txt
Title: a Simply Genetic Algorithm And Neural Network PROJECTS (V2)
Description: CONTAINS: Genetic Algorithm Class - Simple and easy to use. + Modified ParasChopra Neural Net by www.paraschopra.com. -
www.eeworm.com/read/493843/6391505
m music.m
function Px = music(x,p,M)
%MUSIC Frequency estimation using the MUSIC algorithm.
%-----
%USAGE Px=music(x,p,M)
%
% The input sequence x is assumed to consist of p complex
% exponentials in whit
www.eeworm.com/read/493206/6398526
m contents.m
% HMM's
% HMM_Backward - HMM backward algorithm
% HMM_Boltzmann - Find the transition matrices of an HMM using Boltzmann networks
% HMM_Decoding - Find probable states fro