Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0378-4371(02)01794-6
Title: Binary tree summation Monte Carlo simulation for Potts models
Authors: Wang, J.-S. 
Keywords: Binary tree summation
Cluster algorithm
Gliozzi algorithm
Ising model
Sweeny algorithm
Issue Date: 1-Apr-2003
Source: Wang, J.-S. (2003-04-01). Binary tree summation Monte Carlo simulation for Potts models. Physica A: Statistical Mechanics and its Applications 321 (1-2) : 351-358. ScholarBank@NUS Repository. https://doi.org/10.1016/S0378-4371(02)01794-6
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. © 2003 Elsevier Science B.V. All rights reserved.
Source Title: Physica A: Statistical Mechanics and its Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/104902
ISSN: 03784371
DOI: 10.1016/S0378-4371(02)01794-6
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