Swendsen–Wang algorithm: Difference between revisions

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2600 cites for the original reference on Google scholar; notability and the need for a separate article are clear
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{{Merge|Monte Carlo method| discuss=Talk:Monte Carlo method|date=June 2012}}
{{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 same-spin clusters. Each cluster is then assigned a new random spin value. Compare the [[Wolff algorithm]].