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Parallel Algorithms for Statistical Physics Problems

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The Monte Carlo Method in Condensed Matter Physics

Part of the book series: Topics in Applied Physics ((TAP,volume 71))

Abstract

The rapid development of computer simulation methods [3.1–5] over the last couple of years has been matched only by the equally rapid advances that have taken place in the field of computer technology. The many-fold increases in the speed, memory size and the flexibility of computers has opened up a vast number of new possibilities for studying science and engineering problems, and enabled both new insights and new lines of enquiry. However, the complexity of the problems studied and the accuracy of the results required are such that the computing resources available are hardly able to keep up with the demand.

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Authors
  1. Dieter W. Heermann
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  2. Anthony N. Burkitt
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Editor information

Editors and Affiliations

  1. Institut für Physik, Johannes-Gutenberg-Universität Mainz, Staudingerweg 7, D-6500, Mainz, Fed. Rep. of Germany

    Kurt Binder

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© 1992 Springer-Verlag Berlin Heidelberg

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Heermann, D.W., Burkitt, A.N. (1992). Parallel Algorithms for Statistical Physics Problems. In: Binder, K. (eds) The Monte Carlo Method in Condensed Matter Physics. Topics in Applied Physics, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-02855-1_3

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  • DOI: https://doi.org/10.1007/978-3-662-02855-1_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-02857-5

  • Online ISBN: 978-3-662-02855-1

  • eBook Packages: Springer Book Archive

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