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Swendsen–Wang algorithm

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This is an old revision of this page, as edited by MarSch (talk | contribs) at 13:31, 9 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 assigne). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
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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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