
Monte Carlo Simulation in Statistical Physics
An Introduction
Springer (Publisher)
4th Edition
Published on 9. July 2002
Book
Hardback
XII, 183 pages
978-3-540-43221-0 (ISBN)
Article exhausted; check for reprint
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.
More details
Series
Edition
4th, enlarged ed.
Language
English
Place of publication
Heidelberg
Germany
Publishing group
Springer Berlin
Target group
College/higher education
Professional and scholarly
Research
Edition type
Enlarged edition
Product notice
Laminated cover
Illustrations
1 s/w Tabelle
1
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Thickness: 12 mm
Weight
1000 gr
ISBN-13
978-3-540-43221-0 (9783540432210)
DOI
10.1007/978-3-662-04685-2
Schweitzer Classification
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Springer
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10/1997
3rd Edition
Springer
€85.59
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Content
1. Introduction: Purpose and Scope of this Volume, and Some General Comments.- 2. Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics.- 3. Guide to Practical Work with the Monte Carlo Method.- 4. Some Important Recent Developments of the Monte Carlo Methodology.- 5. Quantum Monte Carlo Simulations: An Introduction.- A.1 Algorithm for the Random Walk Problem.- A.2 Algorithm for Cluster Identification.- References.