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© 2010

Monte Carlo Simulation in Statistical Physics

An Introduction

  • The 5th edition of this successful graduate textbook now covers not only quantum Monte Carlo methods but also classical methods

  • Authored by pioneers in the development of Monte Carlo simulations

  • Summarizes the basics and current state of the art in Monte Carlo simulations

  • Covers problems of statistical physics, quantum physics and chemistry

  • Useful reference to researchers

Textbook

Part of the Graduate Texts in Physics book series (GTP, volume 0)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Kurt Binder, Dieter W. Heermann
    Pages 69-110
  3. Kurt Binder, Dieter W. Heermann
    Pages 111-130
  4. Kurt Binder, Dieter W. Heermann
    Pages 131-152
  5. Kurt Binder, Dieter W. Heermann
    Pages 153-174
  6. Back Matter
    Pages 175-200

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. The fifth edition covers Classical as well as Quantum Monte Carlo methods. Furthermore a new chapter on the sampling of free-energy landscapes 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 awarded the Berni J. Alder CECAM Award for Computational Physics 2001 as well as the Boltzmann Medal in 2007. 

Keywords

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

Authors and affiliations

  1. 1.Inst. PhysikUniversität MainzMainzGermany
  2. 2.Fak. Physik und Astronomie, Inst. Theoretische PhysikRuprecht-Karls-Universität HeidelbergHeidelbergGermany

Bibliographic information

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