Monte Carlo Simulation in Statistical Physics
Subtitle: An Introduction
By: by Kurt Binder, Dieter W. Heermann
Contributors: Heermann, Dieter W.
Edition: Fourth, Enlarged Edition.
Series: Springer Series in Solid-State Sciences -- 80; Springer Series in Solid-State Sciences -- 80
Publisher: Springer Berlin Heidelberg
Published: 2002
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] :
Number of pages: 183
ISBN-13: 9783642077463; 9783662046852
Subjects: Physical organic chemistry; Thermodynamics; Mathematical physics; Physics
Description: 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.
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Table of contents: title: 1 Introduction: Purpose and Scope of This Volume, and Some General Comments; title: 2 Theoretical Foundation of the Monte Carlo Method and Its Application in Statistical Physics; title: 3 Guide to Practical Work with the Monte Carlo Method; title: 4 Some Important Recent Developments of the Monte Carlo Methodology; title: 5 Quantum Monte Carlo Simulations: An Introduction; title: Appendix; title: References, Bibliography, Subject Index.