Monte Carlo Simulation in Statistical Physics / Springer Series in Solid-State Sciences Bd.80 (PDF)
An Introduction
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- Autoren: Kurt Binder , Dieter W. Heermann
- 2013, 4th ed. 2002, 183 Seiten, Englisch
- Verlag: Springer Berlin Heidelberg
- ISBN-10: 3662046857
- ISBN-13: 9783662046852
- Erscheinungsdatum: 14.03.2013
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Englisch
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