代码搜索：Algorithm
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www.eeworm.com/read/227183/14438533
m contents.m
% Genetic Optimization Toolbox
%
% Main interface
% ga.m The Genetic Algorithm
% initializega.m Initialization function for float and binary
% repres
www.eeworm.com/read/224759/14568301
m rank85.m
function [expected,normfitness]=rank85(pop,params,state)
%RANK85 Calculates expected number of offspring for the GPLAB algorithm.
% RANK85(POPULATION,STATE) returns the vector with the expected
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tex fftalgorithms.tex
\documentclass[fleqn,12pt]{article}
%
\setlength{\oddsidemargin}{-0.25in}
\setlength{\textwidth}{7.0in}
\setlength{\topmargin}{-0.25in}
\setlength{\textheight}{9.5in}
%
\usepackage{algorithmic}
\newen
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texi multimin.texi
@cindex minimization, multidimensional
This chapter describes routines for finding minima of arbitrary
multidimensional functions. The library provides low level components
for a variety of iterativ
www.eeworm.com/read/223154/14652207
m ranks.m
function r = ranks(X,Mode);
% RANKS gives the rank of each element in a vector.
% This program uses an advanced algorithm with averge effort O(m.n.log(n))
% NaN in the input yields NaN in the outp
www.eeworm.com/read/221024/14771488
html http:^^www.cs.washington.edu^research^projects^weird^www^skyblue-tr-92.html
Date: Tue, 10 Dec 1996 03:26:02 GMT
Server: NCSA/1.4.2
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The SkyBlue Constraint Solver
The SkyBlue Constraint Solver
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html http:^^www.cs.washington.edu^research^projects^weird^www^skyblue-ppcp-93.html
Date: Tue, 10 Dec 1996 03:25:53 GMT
Server: NCSA/1.4.2
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The SkyBlue Constraint Solver and Its Applications
The SkyBlue Constra
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html http:^^www.cs.cornell.edu^info^people^vitrano^cs537projprop.html
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Date: Sunday, 01-Dec-96 19:31:05 GMT
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Data Min
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tc%2f95-203 http:^^www.tc.cornell.edu^dienst^ui^2.0^describe^ncstrl.cornell.tc%2f95-203
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Complete Orthogonal Decomposition for Weighted Least Squares
Complete Orthogonal Decomposition for Weighted Least S
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uwmadison%2fmp-tr-95-09 http:^^www.cs.wisc.edu^dienst^ui^2.0^describe^ncstrl.uwmadison%2fmp-tr-95-09
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QPCOMP: A Quadratic Programming Based Solver for Mixed Complementarity Problems
QPCOMP: A Quadratic Programming Ba