Swendsen–Wang algorithm: Difference between revisions

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Revision as of 06:07, 12 March 2009

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{{Notability|date=March 2009}}

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]].

==References==

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

==External links==