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Monte Carlo Simulation in Statistical Physics

An Introduction

  • Book
  • © 2002

Overview

Authors:
  1. Kurt Binder

    1. Institut für Physik, Johannes Gutenberg Universität, Mainz, Germany

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  2. Dieter W. Heermann

    1. Institut für Theoretische Physik, Universität Heidelberg, Heidelberg, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • The Monte Carlo method is used to model complex systems with many degrees of freedom
  • The authors provide an excellent introduction to the theory and practice of this method utilized in physics and chemistry, with many exercises and examples
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (5 chapters)

  1. Front Matter

    Pages I-XII
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  2. Introduction: Purpose and Scope of this Volume, and Some General Comments

    • Kurt Binder, Dieter W. Heermann
    Pages 1-4

  3. Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics

    • Kurt Binder, Dieter W. Heermann
    Pages 5-68

  4. Guide to Practical Work with the Monte Carlo Method

    • Kurt Binder, Dieter W. Heermann
    Pages 69-113

  5. Some Important Recent Developments of the Monte Carlo Methodology

    • Kurt Binder, Dieter W. Heermann
    Pages 115-135

  6. Quantum Monte Carlo Simulations: An Introduction

    • Kurt Binder, Dieter W. Heermann
    Pages 137-158

  7. Back Matter

    Pages 159-183
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Keywords

About this book

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.

Authors and Affiliations

  • Institut für Physik, Johannes Gutenberg Universität, Mainz, Germany

    Kurt Binder

  • Institut für Theoretische Physik, Universität Heidelberg, Heidelberg, Germany

    Dieter W. Heermann

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