Dissemin is shutting down on January 1st, 2025

Published in

Elsevier, Physica A: Statistical Mechanics and its Applications, 1-2(321), p. 351-358, 2003

DOI: 10.1016/s0378-4371(02)01794-6

Links

Tools

Export citation

Search in Google Scholar

Binary tree summation Monte Carlo simulation for Potts models

Journal article published in 2002 by Jian-Sheng Wang ORCID
This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

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. ; Comment: 9 pages, 2 figures, for StatPhys-Taiwan 2002 conference