An Infinite Swapping Approach to the Rare-Event Sampling Problem

Details An Infinite Swapping Approach to the Rare-Event Sampling Problem An Infinite Swapping Approach to the Rare-Event Sampling Problem

2011-06-30

arxiv.org/abs/1106.6305v1

Physics

Condensed Matter

Statistical Mechanics

24 pages, 16 figures

Scientific paper

We describe a new approach to the rare-event Monte Carlo sampling problem. This technique utilizes a symmetrization strategy to create probability distributions that are more highly connected and thus more easily sampled than their original, potentially sparse counterparts. After discussing the formal outline of the approach and devising techniques for its practical implementation, we illustrate the utility of the technique with a series of numerical applications to Lennard-Jones clusters of varying complexity and rare-event character.

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