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sa-ppt-sample
- 模拟退火算法最早的思想由Metropolis等（1953）提出，1983年Kirkpatrick等将其应用于组合优化。-Simulated annealing algorithm was first thought by Metropolis et al (1953) suggested that, in 1983, Kirkpatrick and so on will be applied to combinatorial optimization.
mnth
- 模拟退火算法来源于固体退火原理，将固体加温至充分高，再让其徐徐冷却，加温时，固体内部粒子随温升变为无序状，内能增大，而徐徐冷却时粒子渐趋有序，在每个温度都达到平衡态，最后在常温时达到基态，内能减为最小。根据Metropolis准则，粒子在温度T时趋于平衡的概率为e-ΔE/(kT)，其中E为温度T时的内能，ΔE为其改变量，k为Boltzmann常数。用固体退火模拟组合优化问题，将内能E模拟为目标函数值f，温度T演化成控制参数t，即得到解组合优化问题的模拟退火算法：由初始解i和控制参数初值t开始，对
monituihuo
- 模拟退火fortran程序,可以根据优化函数设置参数-C Simulated annealing is a global optimization method that distinguishes C between different local optima. Starting from an initial point, the C algorithm takes a step and the function is evaluated. When minimizin
posteriorinference_weibull
- Use Metropolis-Hastings procedure to estimate parameters in Weibull example
example1
- Metropolis within Gibbs sampling
SA
- 模拟退火算法 模拟退火算法来源于固体退火原理，将固体加温至充分高，再让其徐徐冷却，加温时，固体内部粒子随温升变为无序状，内能增大，而徐徐冷却时粒子渐趋有序，在每个温度都达到平衡态，最后在常温时达到基态，内能减为最小。根据Metropolis准则，粒子在温度T时趋于平衡的概率为e-ΔE/(kT)，其中E为温度T时的内能，ΔE为其改变量，k为Boltzmann常数。用固体退火模拟组合优化问题，将内能E模拟为目标函数值f，温度T演化成控制参数t，即得到解组合优化问题的模拟退火算法：由初始解i
GSAA
- 模拟退火算法来源于固体退火原理，将固体加温至充分高，再让其徐徐冷却，加温时，固体内部粒子随温升变为无序状，内能增大，而徐徐冷却时粒子渐趋有序，在每个温度都达到平衡态，最后在常温时达到基态，内能减为最小。根据Metropolis准则，粒子在温度T时趋于平衡的概率为e-ΔE/(kT)，其中E为温度T时的内能，ΔE为其改变量，k为Boltzmann常数。用固体退火模拟组合优化问题，将内能E模拟为目标函数值f，温度T演化成控制参数t，即得到解组合优化问题的模拟退火算法：由初始解i和控制参数初值t开始-S
Metropolis
- 实现蒙特卡罗方法模拟无外场下的lsing模型, 图像是m和t_mcs的关系图, 在data.txt中输出-This program stimulates lsing model with Montel Carlo method. And the result is drawn with m and t_mcs. Main data is in data.txt
2d
- Ising模型MC模拟的GPU加速，MC算法采用的是Metropolis算法，模拟2D正方晶格-GPU accelerated MC simulation for the Ising moedl
SOM_Classification
- An unsuperwised SOM classificatoin on the wheather data of a metropolis over 40 years
Simulated_annealing_MC
- Simulated annealing using the Metropolis criterion for TSP
albertmc1
- Example of Metropolis Hastings Algorithm
TSP_SA
- 基于模拟退火算法求解31个城市的TSP问题。通过模拟自然退火的过程，来实现全局的最优化。根据metropolis准则，接受新解。-Based on simulated annealing algorithm 31 cities TSP. By simulating the natural process of annealing to achieve global optimization. According metropolis criteria, accept the new soluti
ising
- 二维伊辛模型matlab建模Matlab programs for the Ising model-Matlab programs for the Ising model ising.m: the main file which contains a simulator for the 2D Ising model using Wolff sampling and Metropolis sampling, including parameters for temperature and
Metropolisprocedure
- Metropolis算法的程序，利用M-H算法产生合适的样本点以及看出整个的循环过程-The Program of TheMetropolis algorithm
noise_generation
- 基于Metropolis Rejection方法实现了符合任意分布白噪声的生成，用于系统辨识或仿真-Metropolis Rejection based methods to achieve compliance with system identification or simulation of the arbitrary distribution of white noise generator for
MH
- 利用Metropolis-Hastings准则实现对高斯分布的采样，建议分布是高斯分布-The use of standards to achieve Metropolis-Hastings sampling of the Gaussian distribution, the proposed distribution is a Gaussian distribution
randomwalker
- 基于Metropolis-Hastings方法的随机游走模拟-Metropolis-Hastings random walk simulation method based
metropolis_hastings
- metropolis algorithm code is a useful tool to generate estimated values.
DREAM-V3.0
- 差分进化自适应Metropolis算法Matlab工具箱,是一种马尔科夫链蒙特卡洛(MCMC)工具.带演示例子.-DREAM runs multiple different chains simultaneously for global exploration, and automatically tunes the scale and orientation of the proposal distribution using differential evolution.