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Название: Single-Cluster Monte Carlo Dynamics for the Ising Model
Авторы: Tamayo P., Brower R.C., Klein W.
We present an extensive study of a new Monte Carlo acceleration algorithm introduced by Wolff for the Ising model. It differs from the Swendsen-Wang algorithm by growing and flipping single clusters at a random seed. In general, it is more efficient than Swendsen-Wang dynamics for d> 2, giving zero critical slowing down in the upper critical dimension.