scholarly journals Application of Local Information Entropy in Cluster Monte Carlo Algorithms

2019 ◽  
Author(s):  
Artur Chrobak ◽  
Grzegorz Ziółkowski ◽  
Dariusz Chrobak
Keyword(s):  
Monte Carlo ◽  
Information Entropy ◽  
Local Information ◽  
Monte Carlo Algorithms ◽  
Cluster Monte Carlo

CLUSTER MONTE CARLO ALGORITHMS IN STATISTICAL MECHANICS

1992 ◽  
Vol 03 (01) ◽  
pp. 209-212 ◽  
Author(s):  
JIAN-SHENG WANG
Keyword(s):  
Monte Carlo ◽  
Phase Transitions ◽  
Monte Carlo Method ◽  
Statistical Mechanics ◽  
Computer Time ◽  
Second Order ◽  
Monte Carlo Algorithms ◽  
Cluster Monte Carlo

The cluster Monte Carlo method, where variables are updated in groups, is very efficient at second order phase transitions. Much better results can be obtained with less computer time. This article reviews the method of Swendsen and Wang and some of its applications.

Cluster Monte Carlo algorithms

1990 ◽  
Vol 167 (3) ◽  
pp. 565-579 ◽  
Author(s):  
Jian-Sheng Wang ◽  
Robert H. Swendsen
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Algorithms ◽  
Cluster Monte Carlo
Sign in / Sign up

Export Citation Format

Share Document