Swendsen–Wang algorithm

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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.

References

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

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