From Werner KRAUTH

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	'''Abstract'''		'''Abstract'''
-	We apply the event-chain Monte Carlo algorithm to classical continuum spin models on a lattice and clarify the condition for its validity. In the two-dimensional XY model, it outperforms the local Monte Carlo algorithm by two orders of magnitude, although it remains slower than the Wolff cluster algorithm. In the three-dimensional XY spin glass at low temperature, the event-chain algorithm is far superior to the other algorithms.	+
		+	We apply the event-chain Monte Carlo algorithm to classical continuum spin models on a lattice and clarify the condition for its validity. In the two-dimensional XY model, it outperforms the local Monte Carlo algorithm by two orders of magnitude, although it remains slower than the Wolff cluster algorithm. In the three-dimensional XY spin glass at low temperature, the event-chain algorithm is far superior to the other algorithms.
	[http://arxiv.org/pdf/1508.06541 Electronic version (from arXiv, original version)]		[http://arxiv.org/pdf/1508.06541 Electronic version (from arXiv, original version)]
	[[Category:Publication]]		[[Category:Publication]]

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Revision as of 21:45, 23 September 2015

M. Michel, J. Mayer, W. Krauth Event-chain Monte Carlo for classical continuous spin models arXiv 1508.06541

Paper

Abstract

We apply the event-chain Monte Carlo algorithm to classical continuum spin models on a lattice and clarify the condition for its validity. In the two-dimensional XY model, it outperforms the local Monte Carlo algorithm by two orders of magnitude, although it remains slower than the Wolff cluster algorithm. In the three-dimensional XY spin glass at low temperature, the event-chain algorithm is far superior to the other algorithms.

Electronic version (from arXiv, original version)