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Monte Carlo Simulation in Statistical Physics

An Introduction

  • Textbook
  • © 1997

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

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    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.

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

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Table of contents (4 chapters)

  1. Front Matter

    Pages I-X
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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 5-67

  4. Guide to Practical Work with the Monte Carlo Method

    • Kurt Binder, Dieter W. Heermann
    Pages 68-112

  5. Some Important Recent Developments of the Monte Carlo Methodology

    • Kurt Binder, Dieter W. Heermann
    Pages 113-132

  6. Back Matter

    Pages 133-153
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Keywords

About this book

The last ten years have seen an explosive growth in the computer power available to scientists. Simulations that needed access to big mainframe com­ puters in the past are now feasible on the workstation or powerful personal computer available on everybody's desk. This ease with which physicists (and scientists in neighboring areas such as chemistry, biology, economic science) can carry out simulations of their own, has caused a true scientific revolution, and thus simulational approaches are extremely widespread. However, teaching simulation methods in physics is still a somewhat neglected field at many universities. Although there is plenty of literat ure describing advanced applications (the old dream of predicting materials prop­ erties from known interactions between atoms or molecules is now a reality in many cases!), there is still a lack of textbooks from which the interested student can leam the technique of Monte Carlo simulations and their proper analysis step by step. Thus, the present book still fulfills a need and continues to be useful for students who wish to bridge gaps in their university education on a "do­ it-yourself" basis and for university staff who can use it for courses. Also researchers in academia and industry who have recognized the need to catch up with these important developments will find this book invaluable.

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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