Dynamic critical behavior of Wolff's collective-mode Monte Carlo algorithm for the two-dimensional O(n) nonlinear model

Robert G. Edwards; Alan D. Sokal

doi:10.1103/PhysRevD.40.1374

Dynamic critical behavior of Wolff's collective-mode Monte Carlo algorithm for the two-dimensional O(n) nonlinear model

Robert G. Edwards, Alan D. Sokal

Research output: Contribution to journal › Article › peer-review

Abstract

We study the dynamic critical behavior of Wolff's embedding algorithm combined with the standard Swendsen-Wang algorithm, for the two-dimensional XY and O(4) spin models on lattices up to 256×256. We find that critical slowing down is completely or almost completely eliminated.

Original language	English (US)
Pages (from-to)	1374-1377
Number of pages	4
Journal	Physical Review D
Volume	40
Issue number	4
DOIs	https://doi.org/10.1103/PhysRevD.40.1374
State	Published - 1989

ASJC Scopus subject areas

Physics and Astronomy (miscellaneous)

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title = "Dynamic critical behavior of Wolff's collective-mode Monte Carlo algorithm for the two-dimensional O(n) nonlinear model",

abstract = "We study the dynamic critical behavior of Wolff's embedding algorithm combined with the standard Swendsen-Wang algorithm, for the two-dimensional XY and O(4) spin models on lattices up to 256×256. We find that critical slowing down is completely or almost completely eliminated.",

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year = "1989",

doi = "10.1103/PhysRevD.40.1374",

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AB - We study the dynamic critical behavior of Wolff's embedding algorithm combined with the standard Swendsen-Wang algorithm, for the two-dimensional XY and O(4) spin models on lattices up to 256×256. We find that critical slowing down is completely or almost completely eliminated.

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Dynamic critical behavior of Wolff's collective-mode Monte Carlo algorithm for the two-dimensional O(n) nonlinear model

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