CLUSTER MONTE CARLO ALGORITHMS IN STATISTICAL MECHANICS

作     者：JIAN-SHENG WANG 

作者机构：Institut für Physik Universität Mainz D-6500 Mainz F.R. Germany Address after August 1991: Department of Physics Hong Kong Baptist College Kowloon Hong Kong. 

出 版 物：《International Journal of Modern Physics C》 

年 卷 期：1992年第3卷第1期

页      面：209-212页

学科分类：07[理学] 0702[理学-物理学] 

主　　题：Monte Carlo simulation Cluster algorithm Critical slowing down 

摘      要：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.