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Generalized Probability-Changing Algorithm

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Computer Simulation Studies in Condensed-Matter Physics XVI

Part of the book series: Springer Proceedings in Physics ((SPPHY,volume 95))

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Abstract

Based on the finite-size scaling property of the correlation ratio, we make a generalization of the probability-changing cluster (PCC) algorithm. With this generalized scheme, the direction for the application of the PCC algorithm is extensively increased. Using the generalized scheme, the two-dimensional quantum XY model of spin-1/2 and the two-dimensional fully frustrated XY model are investigated.

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References

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Author information

Authors and Affiliations

  1. Institute for Solid State Physics, University of Tokyo, Kashiwa, 277-8581, Japan

    Y. Tomita

  2. Department of Physics, Tokyo Metropolitan University Hachioji, Tokyo, 192-0397, Japan

    Y. Okabe

Authors
  1. Y. Tomita
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  2. Y. Okabe
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Editor information

Editors and Affiliations

  1. Center for Simulational Physics, The University of Georgia, Athens, GA, 30602-2451, USA

    David P. Landau Ph.D. , Steven P. Lewis Ph.D.  & Heinz-Bernd Schüttler Ph.D. ,  & 

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© 2004 Springer-Verlag Berlin Heidelberg

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Tomita, Y., Okabe, Y. (2004). Generalized Probability-Changing Algorithm. In: Landau, D.P., Lewis, S.P., Schüttler, HB. (eds) Computer Simulation Studies in Condensed-Matter Physics XVI. Springer Proceedings in Physics, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59293-5_27

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  • DOI: https://doi.org/10.1007/978-3-642-59293-5_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-63923-4

  • Online ISBN: 978-3-642-59293-5

  • eBook Packages: Springer Book Archive

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