arXiv · hep-lat/9411077
Multibondic Cluster Algorithm
Abstract
Inspired by the multicanonical approach to simulations of first-order phase transitions we propose for $q$-state Potts models a combination of cluster updates with reweighting of the bond configurations in the Fortuin-Kastelein-Swendsen-Wang representation of this model. Numerical tests for the two-dimensional models with $q=7, 10$ and $20$ show that the autocorrelation times of this algorithm grow with the system size $V$ as $τ\propto V^α$, where the exponent takes the optimal random walk value of $α\approx 1$.
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Wolfhard Janke, Stefan Kappler. 1994-11-29. Multibondic Cluster Algorithm. https://doi.org/10.1016/0920-5632(95)00408-2
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