1994/05/17 by Alan D. Sokal, Sokal, Alan D.
Decision Sciences · Physics and Astronomy · #Condensed Matter (cond-mat) #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #Simulation Techniques and Applications #cond-mat #hep-lat
paper · pdf · doi:10.48550/arxiv.hep-lat/9405016
81 pages including lots of figures, 700138 bytes Postscript (NYU-TH-94/05/02) [To appear in Monte Carlo and Molecular Dynamics Simulations in Polymer Science, edited by Kurt Binder, Oxford University Press, expected late 1994]
arxiv created 1994/05/17 · openalex publication_date 1994/05/17 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.