Authors:
- The Monte Carlo method is used to model complex systems with many degrees of freedom
- The authors provide an excellent introduction to the theory and practice of this method utilized in physics and chemistry, with many exercises and examples
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series in Solid-State Sciences (SSSOL, volume 80)
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Table of contents (5 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Institut für Physik, Johannes Gutenberg Universität, Mainz, Germany
Kurt Binder
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Institut für Theoretische Physik, Universität Heidelberg, Heidelberg, Germany
Dieter W. Heermann
Bibliographic Information
Book Title: Monte Carlo Simulation in Statistical Physics
Book Subtitle: An Introduction
Authors: Kurt Binder, Dieter W. Heermann
Series Title: Springer Series in Solid-State Sciences
DOI: https://doi.org/10.1007/978-3-662-04685-2
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2002
eBook ISBN: 978-3-662-04685-2Published: 14 March 2013
Series ISSN: 0171-1873
Series E-ISSN: 2197-4179
Edition Number: 4
Number of Pages: XII, 183
Topics: Mathematical Methods in Physics, Numerical and Computational Physics, Simulation, Thermodynamics, Complex Systems, Condensed Matter Physics, Physical Chemistry