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readme
Python-to-libsvm interface
Introduction
============
Python (http://www.python.org/) is a programming language suitable for
rapid development. This python-to-libsvm interface is developed so
users
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m contents.m
% Higher-Order Spectral Analysis Toolbox - Demo suite
% Version 2.0.3 (R12 compliant) 27 Dec 2000
%
% hosademo : main demo file
% all other .m files in this directory are invoked by hosademo
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readme
Problem: Given a specification file, Test.sc, code generate some stuff
according to some template.
The run script chooses to use the template oo.template that happens
to be in the template direct
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m swarm.m
function [sol, fval, evals] = swarm(varargin)
%SWARM Particle Swarm Optimization
%
% Usage:
% sol = SWARM(PROBLEM)
% sol = SWARM(func, swarmsize, lb, ub)
%
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m genetic.m
function [sol, fval, evals] = genetic(varargin)
%GENETIC Optimization using genetic algorithm
%
% GENETIC(func, popsize, lb, ub) tries to find the global optimum of
%
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m diffevolve.m
function [sol, fval, evals] = diffevolve(varargin)
%DIFFEVOLVE Differential Evolution Optimization
%
% Usage:
% sol = DIFFEVOLVE(PROBLEM)
% sol = DIFFEVOLVE(func, p
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m simanneal.m
function [sol, fval, evals] = simanneal(varargin)
%SIMANNEAL Simulated Annealing Optimization
%
% Usage:
% sol = SIMANNEAL(PROBLEM)
% sol = SIMANNEAL(func, popsize, lb