Monte Carlo methods for the self-avoiding walk

Alan D. Sokal

doi:10.1016/0920-5632(96)00042-4

Monte Carlo methods for the self-avoiding walk

Alan D. Sokal

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

Abstract

This article is a pedagogical review of Monte Carlo methods for the self-avoiding walk, with emphasis on the extraordinarily efficient algorithms developed over the past decade. Many more details can be found in [1].

Original language	English (US)
Pages (from-to)	172-179
Number of pages	8
Journal	Nuclear Physics B - Proceedings Supplements
Volume	47
Issue number	1-3
DOIs	https://doi.org/10.1016/0920-5632(96)00042-4
State	Published - Mar 1996

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Nuclear and High Energy Physics

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10.1016/0920-5632(96)00042-4

Cite this

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title = "Monte Carlo methods for the self-avoiding walk",

abstract = "This article is a pedagogical review of Monte Carlo methods for the self-avoiding walk, with emphasis on the extraordinarily efficient algorithms developed over the past decade. Many more details can be found in [1].",

author = "Sokal, {Alan D.}",

note = "Funding Information: The big open question is: Can any of these algorithms from polymer physics inspire successful collective-mode algorithms for spin or gauge theories? Or vice versa? Oh, yes, I almost forgot: the three SAWs in Figure I were produced using the pivot algorithm. This research was supported by the Petroleum Research Fund and by NSF grant DMS-9200719.",

year = "1996",

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N2 - This article is a pedagogical review of Monte Carlo methods for the self-avoiding walk, with emphasis on the extraordinarily efficient algorithms developed over the past decade. Many more details can be found in [1].

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Monte Carlo methods for the self-avoiding walk

Abstract

ASJC Scopus subject areas

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