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Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics

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Monte Carlo Simulation in Statistical Physics

Part of the book series: Springer Series in Solid-State Sciences ((SSSOL,volume 80))

Abstract

In this chapter we first introduce the basic concepts of Monte Carlo sampling, give some details on how Monte Carlo programs need to be organized, and then proceed to the interpretation and analysis of Monte Carlo results.

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Authors and Affiliations

  1. Institut für Physik, Johannes Gutenberg Universität, Staudinger Weg 7, 55099, Mainz, Germany

    Professor Dr. Kurt Binder

  2. Institut für Theoretische Physik, Universität Heidelberg, Philosophenweg 19, 69120, Heidelberg, Germany

    Professor Dr. Dieter W. Heermann

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  1. Professor Dr. Kurt Binder
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Binder, K., Heermann, D.W. (2002). Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics. In: Monte Carlo Simulation in Statistical Physics. Springer Series in Solid-State Sciences, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04685-2_2

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