Binary tree summation Monte Carlo simulation for Potts models
Statistical Mechanics
2009-11-07 v1
Abstract
In this talk, we briefly comment on Sweeny and Gliozzi methods, cluster Monte Carlo method, and recent transition matrix Monte Carlo for Potts models. We mostly concentrate on a new algorithm known as "binary tree summation". Some of the most interesting features of this method will be highlighted - such as simulating fractional number of Potts states, as well as offering the partition function and thermodynamic quantities as functions of temperature in a single run.
Cite
@article{arxiv.cond-mat/0206017,
title = {Binary tree summation Monte Carlo simulation for Potts models},
author = {Jian-Sheng Wang},
journal= {arXiv preprint arXiv:cond-mat/0206017},
year = {2009}
}
Comments
9 pages, 2 figures, for StatPhys-Taiwan 2002 conference