Monte Carlo Simulation in Statistical Physics [E-Book] : An Introduction / by Kurt Binder, Dieter W. Heermann.
Monte Carlo Simulation in Statistical Physics deals with the computer simulation of many-body systems in condensed-matter physics and related fields of physics, chemistry and beyond, to traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, probability distrib...
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Full text |
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Personal Name(s): | Binder, Kurt, author |
Heermann, Dieter W., author | |
Edition: |
Fourth, Enlarged Edition. |
Imprint: |
Berlin, Heidelberg :
Springer,
2002
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Physical Description: |
XII, 183 p. online resource. |
Note: |
englisch |
ISBN: |
9783662046852 |
DOI: |
10.1007/978-3-662-04685-2 |
Series Title: |
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Springer Series in Solid-State Sciences ;
80 |
Subject (LOC): |
Monte Carlo Simulation in Statistical Physics deals with the computer simulation of many-body systems in condensed-matter physics and related fields of physics, chemistry and beyond, to traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, probability distributions are calculated, allowing the estimation of the thermodynamic properties of various systems. This book describes the theoretical background to several variants of these Monte Carlo methods and gives a systematic presentation from which newcomers can learn to perform such simulations and to analyze their results. This fourth edition has been updated and a new chapter on Monte Carlo simulation of quantum-mechanical problems has been added. To help students in their work a special web server has been installed to host programs and discussion groups (http://wwwcp.tphys.uni-heidelberg.de). Prof. Binder was the winner of the Berni J. Alder CECAM Award for Computational Physics 2001. |