Monte Carlo Methods for the Self-Avoiding Walk
High Energy Physics - Lattice
2007-05-23 v1 Condensed Matter
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.
Keywords
Cite
@article{arxiv.hep-lat/9405016,
title = {Monte Carlo Methods for the Self-Avoiding Walk},
author = {Alan D. Sokal},
journal= {arXiv preprint arXiv:hep-lat/9405016},
year = {2007}
}
Comments
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]