CLUSTER MONTE CARLO ALGORITHMS IN STATISTICAL MECHANICS

Jian-Sheng Wang
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Jian-Sheng Wang: Institut für Physik, Universität Mainz, D-6500 Mainz, F.R. Germany

International Journal of Modern Physics C (IJMPC), 1992, vol. 03, issue 01, 209-212

Abstract: 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.

Keywords: Monte Carlo simulation; Cluster algorithm; Critical slowing down (search for similar items in EconPapers)
Date: 1992
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DOI: 10.1142/S0129183192000178

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