Monte Carlo Simulation in Statistical Physics
An Introduction
Springer (Publisher)
4th Edition
Published on 1. December 2010
Book
Paperback/Softback
XII, 180 pages
978-3-642-07746-3 (ISBN)
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
4., th, ed. Softcover version of original hardcover edition 2002
Language
English
Place of publication
Berlin
Germany
Target group
Professional and scholarly
Research
Edition type
Revised edition
Illustrations
1
48 s/w Abbildungen, 1 s/w Tabelle
48 black & white illustrations, 1 black & white tables
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
302 gr
ISBN-13
978-3-642-07746-3 (9783642077463)
Schweitzer Classification
Other editions
Additional editions

E-Book
03/2013
4th Edition
Springer
€85.59
Available for download

Book
07/2002
4th Edition
Springer
€85.59
Article exhausted; check for reprint
Previous edition

Book
10/1997
3rd Edition
Springer
€85.59
Article exhausted; check for reprint
Content
1 Introduction: Purpose and Scope of This Volume, and Some General Comments.- 2 Theoretical Foundation of the Monte Carlo Method and Its Application 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.- Appendix.- References, Bibliography, Subject Index.