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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-X
  2. Kurt Binder, Dieter W. Heermann
    Pages 68-112
  3. Kurt Binder, Dieter W. Heermann
    Pages 113-132
  4. Back Matter
    Pages 133-153

About this book

Introduction

Monte Carlo Simulation in Statistical Physics deals with the computer simulation of thermodynamic properties of many-body condensed-matter systems that use random numbers generated by a computer in physics and chemistry. It describes the theoretical background of several variants of these Monte Carlo methods and gives a systematic course by which newcomers can learn to perform such simulations and to analyze their results. This third edition has been updated and a new chapter on some important recent developments of the Monte Carlo methodology was added.

Keywords

Monte Carlo method percolation phase transitions random walks statistical physics statistical thermodynamics

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/10.1007/978-3-662-03336-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 1997
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-63265-8
  • Online ISBN 978-3-662-03336-4
  • Series Print ISSN 0171-1873
  • Buy this book on publisher's site