Cluster hybrid Monte Carlo simulation algorithms.

Plascak, J A; Ferrenberg, Alan M; Landau, D P

Plascak, J A; Ferrenberg, Alan M; Landau, D P.

Afiliação

Plascak JA; Departamento de Fisica-ICEx, Universidade Federal de Minas Gerais, Caixa Postal 702, 30123-970 Belo Horizonte MG, Brazil.

Phys Rev E Stat Nonlin Soft Matter Phys ; 65(6 Pt 2): 066702, 2002 Jun.

Article em En | MEDLINE | ID: mdl-12188863

RESUMO

We show that addition of Metropolis single spin flips to the Wolff cluster-flipping Monte Carlo procedure leads to a dramatic increase in performance for the spin-1/2 Ising model. We also show that adding Wolff cluster flipping to the Metropolis or heat bath algorithms in systems where just cluster flipping is not immediately obvious (such as the spin-3/2 Ising model) can substantially reduce the statistical errors of the simulations. A further advantage of these methods is that systematic errors introduced by the use of imperfect random-number generation may be largely healed by hybridizing single spin flips with cluster flipping.

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Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Phys Rev E Stat Nonlin Soft Matter Phys Assunto da revista: BIOFISICA / FISIOLOGIA Ano de publicação: 2002 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos

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