代码搜索：Simulated

找到约 1,823 项符合「Simulated」的源代码

代码结果 1,823
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hpp simann.hpp

// simanneal.hpp A general purpose Simulated Annealing Class // This version allows vector data // (c) Copyright 1994, Everett F. Carter Jr. // Permission is
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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 parameter
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asv fouriertest.asv

% Simple fourier filter coding for simulated time-series signal, % without the interactive sliders. Original signal (blue) % and filtered signal (red) are displayed superimposed in the top % windo
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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 m1c.m

% M file for Project 1 on induction motor drive % with closed loop speed control in Chapter 9 % It sets the machine parameters and also plots the simulated % results when used in conjunction with
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cc console.cc

// console.cc // Routines to simulate a serial port to a console device. // A console has input (a keyboard) and output (a display). // These are each simulated by operations on UNIX files. // The si
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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
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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
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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 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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