Invaded Cluster Algorithm for Equilibrium Critical Points

J. Machta, Y. S. Choi, A. Lucke, T. Schweizer, and L. V. Chayes
Phys. Rev. Lett. 75, 2792 – Published 9 October 1995
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Abstract

A new cluster algorithm based on invasion percolation is described. The algorithm samples the critical point of a spin system without a priori knowledge of the critical temperature and provides an efficient way to determine the critical temperature and other observables in the critical region. The method is illustrated for the two- and three-dimensional Ising models. The algorithm equilibrates spin configurations much faster than the closely related Swendsen-Wang algorithm.

  • Received 20 June 1995

DOI:https://doi.org/10.1103/PhysRevLett.75.2792

©1995 American Physical Society

Authors & Affiliations

J. Machta, Y. S. Choi, A. Lucke, and T. Schweizer

  • Department of Physics and Astronomy, University of Massachusetts, Amherst, Massachusetts 01003-3720

L. V. Chayes

  • Department of Mathematics, University of California, Los Angeles, California 90095-1555

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Vol. 75, Iss. 15 — 9 October 1995

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