Abstract
We describe the idea of the newly proposed efficient algorithpi of tuning the critical point automatically. This probability-changing cluster (PCC) algorithm is an extended version of the Swendsen-Wang algorithm. As an application of the PCC algorithm, we study the two-dimensional site-diluted Ising model, paying attention to the self-averaging property. We also use another newly proposed algorithm, the Wang-Landau algorithm, for the study of the three-dimensional antiferromagnetic q-state Potts models.
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Okabe, Y., Tomita, Y., Yamaguchi, C. (2002). Applications of the Probability-Changing Cluster Algorithm and Related Problems. In: Landau, D.P., Lewis, S.P., Schüttler, HB. (eds) Computer Simulation Studies in Condensed-Matter Physics XIV. Springer Proceedings in Physics, vol 89. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59406-9_19
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DOI: https://doi.org/10.1007/978-3-642-59406-9_19
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