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

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

by David P. Landau, Kurt Binder
     
 

ISBN-10: 0521768489

ISBN-13: 9780521768481

Pub. Date: 10/31/2009

Publisher: Cambridge University Press

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…  See more details below

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.

Product Details

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

Table of Contents

1Introduction1
2Some necessary background7
3Simple sampling Monte Carlo methods48
4Importance sampling Monte Carlo methods68
5More on importance sampling Monte Carlo methods for lattice systems137
6Off-lattice models194
7Reweighting methods251
8Quantum Monte Carlo methods277
9Monte Carlo renormalization group methods315
10Non-equilibrium and irreversible processes328
11Lattice gauge models : a brief introduction350
12A brief review of other methods of computer simulation363
13Monte Carlo methods outside of physics383
14Outlook393

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