Event-chain Monte Carlo algorithms for hard-sphere systems
Statistical Mechanics
2010-02-08 v2
Abstract
In this paper we present the event-chain algorithms, which are fast Markov-chain Monte Carlo methods for hard spheres and related systems. In a single move of these rejection-free methods, an arbitrarily long chain of particles is displaced, and long-range coherent motion can be induced. Numerical simulations show that event-chain algorithms clearly outperform the conventional Metropolis method. Irreversible versions of the algorithms, which violate detailed balance, improve the speed of the method even further. We also compare our method with a recent implementations of the molecular-dynamics algorithm.
Cite
@article{arxiv.0903.2954,
title = {Event-chain Monte Carlo algorithms for hard-sphere systems},
author = {Etienne P. Bernard and Werner Krauth and David B. Wilson},
journal= {arXiv preprint arXiv:0903.2954},
year = {2010}
}
Comments
5 pages, 6 figures