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General Cluster Updating Method for Monte Carlo Simulations

Physical Review LettersPublished 31 October 1988
Ferenc Niedermayer
Citations110
SJR quartileQ1
SJR score2.86
SNIP2.41

TL;DR

La methode contient des fonctions de probabilites arbitraires qui peuvent etre utilisees par minimiser le temps de relaxation par minimising le tempe de relaxation.

Abstract

A general cluster updating algorithm for Monte Carlo simulations is presented. The method contains arbitrary probability functions which can be used to minimize the relaxation time. It is applicable to systems where the interaction energy has a global (discrete or continuous) symmetry. Special cases cover standard site-by-site updating as well as the cluster updating method proposed by Swendsen and Wang for Ising and Potts models.

Keywords

MathematicsPhysics and Astronomy