Binary tree summation Monte Carlo method for Potts models
统计力学
2011-12-30 v1
摘要
We give a new sampling algorithm for the Potts model based on the Fortuin-Kasteleyn transformation. The method produces independent samples and sums up a large number of configurations for each sweep. The partition function and thermodynamic averages for all values of the temperature can be computed from a single run. We compare the results with exact 2D Ising model.
引用
@article{arxiv.cond-mat/0203264,
title = {Binary tree summation Monte Carlo method for Potts models},
author = {Jian-Sheng Wang and Oner Kozan and Robert H. Swendsen},
journal= {arXiv preprint arXiv:cond-mat/0203264},
year = {2011}
}
备注
5 LaTeX pages