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Monte Carlo Simulation in Statistical Physics

An Introduction

  • Kurt Binder
  • Dieter W. Heermann

Part of the Springer Series in Solid-State Sciences book series (SSSOL, volume 80)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Kurt Binder, Dieter W. Heermann
    Pages 69-113
  3. Kurt Binder, Dieter W. Heermann
    Pages 115-135
  4. Kurt Binder, Dieter W. Heermann
    Pages 137-158
  5. Back Matter
    Pages 159-183

About this book

Introduction

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.

Keywords

Computational algorithms Computer simulation and modeling of many-body systems Monte Carlo method Probability distribution Sampling methods Textbook on Monte Carlo Method algorithms linear optimization simulation statistical physics

Authors and affiliations

  • Kurt Binder
    • 1
  • Dieter W. Heermann
    • 2
  1. 1.Institut für PhysikJohannes Gutenberg UniversitätMainzGermany
  2. 2.Institut für Theoretische PhysikUniversität HeidelbergHeidelbergGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-04685-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2002
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-07746-3
  • Online ISBN 978-3-662-04685-2
  • Series Print ISSN 0171-1873
  • Buy this book on publisher's site