Overview
- 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.
Part of the book series: Springer Series in Solid-State Sciences (SSSOL, volume 80)
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Table of contents (4 chapters)
Keywords
About this book
Authors and Affiliations
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/10.1007/978-3-662-03336-4
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1997
eBook ISBN: 978-3-662-03336-4Published: 17 April 2013
Series ISSN: 0171-1873
Series E-ISSN: 2197-4179
Edition Number: 3
Number of Pages: X, 153
Number of Illustrations: 17 b/w illustrations
Topics: Mathematical Methods in Physics, Numerical and Computational Physics, Simulation, Thermodynamics, Complex Systems, Condensed Matter Physics, Physical Chemistry