Binder / Heermann Monte Carlo Simulation in Statistical Physics

An Introduction
Fourth Auflage 2002
ISBN: 978-3-662-04685-2
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 80, 183 Seiten, eBook

Reihe: Springer Series in Solid-State Sciences

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.

Zielgruppe

Research

Autoren/Hrsg.

Binder, Kurt

Heermann, Dieter W.

Inhaltsverzeichnis

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.