代码搜索:Simulated

找到约 1,823 项符合「Simulated」的源代码

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www.eeworm.com/read/405201/11470125

m anneal.m

function [minimum,fval] = anneal(loss, parent, options) % ANNEAL Minimizes a function with the method of simulated annealing % (Kirkpatrick et al., 1983) % % ANNEAL takes three input parameter
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m contents.m

% Genetic Optimization Toolbox % % Main interface % ga.m The Genetic Algorithm % initialize.m Initialization function Used by ga.m % % Operators used during simulated
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m anneal.m

function [minimum,fval] = anneal(loss, parent, options) % ANNEAL Minimizes a function with the method of simulated annealing % (Kirkpatrick et al., 1983) % % ANNEAL takes three input parameters,
www.eeworm.com/read/157362/11717508

c sat1.c

/* sat1.c Simple experiments with simulated annealing find the minumum of a function, there are two examples here one uses a simple cost function, the other imposes range constraints by
www.eeworm.com/read/157359/11717602

cxx satest1.cxx

/* satest1.c++ Simple experiments with simulated annealing find the minumum of a function, there are two examples here one uses a simple cost function, the other imposes range constraints
www.eeworm.com/read/154811/11925083

m contents.m

% Genetic Optimization Toolbox % % Main interface % ga.m The Genetic Algorithm % initialize.m Initialization function Used by ga.m % % Operators used during simulated
www.eeworm.com/read/343006/11984341

c sat1.c

/* sat1.c Simple experiments with simulated annealing find the minumum of a function, there are two examples here one uses a simple cost function, the other imposes range constraints by
www.eeworm.com/read/343006/11984438

cxx satest1.cxx

/* satest1.c++ Simple experiments with simulated annealing find the minumum of a function, there are two examples here one uses a simple cost function, the other imposes range constraints
www.eeworm.com/read/342759/12002391

h telephone.h

#ifndef TELEPHONE_H #define TELEPHONE_H using namespace std; #include #include class Connection; /** A telephone that takes simulated keystrokes and voice input
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m contents.m

% Genetic Optimization Toolbox % % Main interface % ga.m The Genetic Algorithm % initialize.m Initialization function Used by ga.m % % Operators used during simulated