Monte Carlo Simulation in Statistical Physics

An Introduction

Kurt Binder, Dieter W. Heermann

180 pages, parution le 12/07/2002 (4^eme édition)

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Résumé

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.

Contents

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
Algorithm for the Random Walk Problem
Algorithm for Cluster Identifcation

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Kurt Binder, Dieter W. Heermann
Parution	12/07/2002
Édition	4^eme édition
Nb. de pages	180
Format	16 x 24
Couverture	Relié
Poids	415g
Intérieur	Noir et Blanc
EAN13	9783540432210