6533b838fe1ef96bd12a45d7
RESEARCH PRODUCT
CLUSTER MONTE CARLO ALGORITHMS IN STATISTICAL MECHANICS
Jian-sheng Wangsubject
Computer scienceMonte Carlo methodGeneral Physics and AstronomyStatistical and Nonlinear PhysicsComputer Science ApplicationsHybrid Monte CarloComputational Theory and MathematicsDynamic Monte Carlo methodMonte Carlo integrationMonte Carlo method in statistical physicsStatistical physicsQuasi-Monte Carlo methodParallel temperingAlgorithmMathematical PhysicsMonte Carlo molecular modelingdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 1992-02-01 | International Journal of Modern Physics C |