A Guide to Monte Carlo Simulations in Statistical Physics / Edition 3

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Overview

This book describes all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, as well as in related fields, such as polymer science and lattice gauge theory. The authors give a succinct overview of simple sampling methods and develop the importance sampling method. In addition they introduce quantum Monte Carlo methods, aspects of simulations of growth phenomena and other systems far from equilibrium, and the Monte Carlo Renormalization Group approach to critical phenomena. The book includes many applications, examples, and current references, and exercises to help the reader.
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Editorial Reviews

From the Publisher
Review of the first edition: 'This book will serve as a useful introduction to those entering the field, while for those already versed in the subject it provides a timely survey of what has been achieved.' D. C. Rapaport, Journal of Statistical Physics
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Product Details

  • ISBN-13: 9780521768481
  • Publisher: Cambridge University Press
  • Publication date: 10/31/2009
  • Edition description: New Edition
  • Edition number: 3
  • Pages: 488
  • Product dimensions: 6.70 (w) x 9.80 (h) x 1.00 (d)

Meet the Author

David P. Landau is the Distinguished Research Professor of Physics and founding Director of the Center for Simulational Physics at the University of Georgia, USA.

Kurt Binder is Professor Emeritus of Theoretical Physics and Gutenberg Fellow at the Institut für Physik, Johannes Gutenberg Universität, Mainz, Germany.

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Table of Contents

1 Introduction 1
2 Some necessary background 7
3 Simple sampling Monte Carlo methods 48
4 Importance sampling Monte Carlo methods 68
5 More on importance sampling Monte Carlo methods for lattice systems 137
6 Off-lattice models 194
7 Reweighting methods 251
8 Quantum Monte Carlo methods 277
9 Monte Carlo renormalization group methods 315
10 Non-equilibrium and irreversible processes 328
11 Lattice gauge models : a brief introduction 350
12 A brief review of other methods of computer simulation 363
13 Monte Carlo methods outside of physics 383
14 Outlook 393
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