Swendsen–Wang algorithm: Difference between revisions

Revision as of 05:11, 10 March 2009

Revision as of 08:38, 11 March 2009

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The '''Swendsen-Wang algorithm''' is an [[algorithm]] for [[Monte Carlo simulation]] of the [[Ising model]] in which the entire sample is divided into equal-spin clusters. Each cluster is then assigned a new random spin value. Compare the [[Wolff algorithm]].

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==References==

*Swendsen, R. H., and Wang, J. ''Nonuniversal critical dynamics in Monte Carlo simulations'', Phys. Rev. Lett., 58(2):86-88, 1987.

==External Linkslinks==

*[http://www.hpjava.org/theses/shko/thesis_paper/node69.html]

*[http://www-fcs.acs.i.kyoto-u.ac.jp/~harada/monte-en.html]

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[[Category:Monte Carlo methods]]

[[Category:Statistical mechanics]]

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