Cluster Monte Carlo algorithms and their applications

Details Cluster Monte Carlo algorithms and their applications Cluster Monte Carlo algorithms and their applications

1995-10-14

arxiv.org/abs/cond-mat/9510082v1

Physics

Condensed Matter

RevTeX, 5 pages

Scientific paper

We review the background of the cluster algorithms in Monte Carlo simulation of statistical physics problems. One of the first such successful algorithm was developed by Swendsen and Wang eight years ago. In contrast to the local algorithms, cluster algorithms update dynamical variables in a global fashion. Therefore, large changes are made in a single step. The method is very efficient, especially near the critical point of a second-order phase transition. Studies of various statistical mechanics models and some generalizations of the algorithm will be briefly reviewed. We mention applications in other fields, especially in imaging processing.

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