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A new cluster algorithm for the Baxter–Wu model

I.N. Velonakis and S.S. Martinos

Physica A: Statistical Mechanics and its Applications, 2011, vol. 390, issue 1, 24-30

Abstract: We propose a new cluster algorithm for the Baxter–Wu model that significantly reduces critical slowing down. We examine the behavior of the created clusters as we vary the temperature and then specify dynamic exponents. Comparison is made with the Metropolis algorithm and with the other existing cluster algorithm.

Keywords: Monte Carlo methods; Cluster algorithm; Critical phenomena; Baxter–Wu model (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:390:y:2011:i:1:p:24-30

DOI: 10.1016/j.physa.2010.05.006

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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