Monte Carlo Simulation in Statistical Physics

An Introduction

  • Kurt Binder
  • Dieter W. Heermann

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


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 ( Prof. Binder was awarded the Berni J. Alder CECAM Award for Computational Physics 2001 as well as the Boltzmann Medal in 2007. 


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

  • Kurt Binder
    • 1
  • Dieter W. Heermann
    • 2
  1. 1.Inst. PhysikUniversität MainzMainzGermany
  2. 2.Fak. Physik und Astronomie, Inst. Theoretische PhysikRuprecht-Karls-Universität HeidelbergHeidelbergGermany

Bibliographic information

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