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#ifndef PARTICLE_H #define PARTICLE_H #include /* Particle data type. */ typedef struct particle_s { double x,y; /* coordinates of the particle */ double energy; /* ve

function [W,Ew,Wbsf,Ebsf,Ea,Estd,Ev,steps] = metropoliswalk( ... verbose, ... Ea, T, ... walkers, W, X, cost, moveclass, ... acceptrule, q, ... hasEquilibr

// // pedsim - A microscopic pedestrian simulation system. // Copyright (c) 2003 - 2004 by Christian Gloor // // You can redistribute and/or modify this program under th

/* sat2.c Simple experiments with simulated annealing find the nonlinear least squares optimum solution usage: sat2 < input.data */ static char rcsid[] = "@(#)sat2.c 1.1 09:47:21 10/30/

function [W,Ew,Wbsf,Ebsf,Ea,Estd,Ev,steps] = metropoliswalk( ... verbose, ... Ea, T, ... walkers, W, X, cost, moveclass, ... acceptrule, q, ... hasEquilibr

% 当前的延拓模式是补零 % 产生原始信号 x = randn(1,200); % 计算x的shannon熵 e1 = wentropy(x,'shannon') % 计算x的对数能量熵 e2 = wentropy(x,'log energy') % 计算x的阈值熵，阈值取为0.2 e3 = wentropy(x,'threshold',0.2) % 计算x的“sure”熵，阈值

% 当前的延拓模式是补零 % 产生原始信号 x = randn(1,200); % 计算x的shannon熵 e1 = wentropy(x,'shannon') % 计算x的对数能量熵 e2 = wentropy(x,'log energy') % 计算x的阈值熵，阈值取为0.2 e3 = wentropy(x,'threshold',0.2) % 计算x的“sure”熵，阈值

function [margt,margf,E]=margtfr(tfr,t,f) %MARGTFR Marginals and energy of a time-frequency representation. % [MARGT,MARGF,E]=MARGTFR(TFR,T,F) calculates the time and % frequency marginals and the en

% 当前的延拓模式是补零 % 产生原始信号 x = randn(1,200); % 计算x的shannon熵 e1 = wentropy(x,'shannon') % 计算x的对数能量熵 e2 = wentropy(x,'log energy') % 计算x的阈值熵，阈值取为0.2 e3 = wentropy(x,'threshold',0.2) % 计算x的“sure”熵，阈值

// GCoptimization.h: interface for the GCoptimization class. // ////////////////////////////////////////////////////////////////////// /* GCoptimization.h */ /* Olga Veksler, 2005, olga@csd.uwo.ca