Monte Carlo methods for the self-avoiding walk

Alan D. Sokal

    Research output: Contribution to journalArticlepeer-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 languageEnglish (US)
    Pages (from-to)172-179
    Number of pages8
    JournalNuclear Physics B - Proceedings Supplements
    Volume47
    Issue number1-3
    DOIs
    StatePublished - Mar 1996

    ASJC Scopus subject areas

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

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