From Werner KRAUTH

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	[http://scitation.aip.org/content/aip/journal/jcp/140/5/10.1063/1.4863991 Published version (Journal of Chemical Physics - Subscription needed)]		[http://scitation.aip.org/content/aip/journal/jcp/140/5/10.1063/1.4863991 Published version (Journal of Chemical Physics - Subscription needed)]
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Current revision

M. Michel, S. C. Kapfer, W. Krauth Generalized event-chain Monte Carlo: Constructing rejection-free global-balance algorithms from infinitesimal steps Journal of Chemical Physics 140 54116 (2014)

Paper

Abstract In this article, we introduce a factorized Metropolis filter and the concept of infinitesimal Monte Carlo moves to design a rejection-free Markov-chain Monte Carlo algorithm for interacting particle systems that breaks detailed balance yet satisfies global balance. This event-driven algorithm generalizes the recent hard-sphere event-chain Monte Carlo method without introducing any discretizations in time or in space. We demonstrate considerable speed-ups of this method with respect to the classic local Metropolis algorithm. The new algorithm generates a continuum of samples of the stationary probability density. This allows us to derive an exact formula for the pressure that is obtained as a byproduct of the simulation without any additional computations.

Electronic version (from arXiv, original version)

Published version (Journal of Chemical Physics - Subscription needed)