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
     
 

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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

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

Preface; 1. Introduction; 2. Some necessary background; 3. Simple sampling Monte Carlo methods; 4. Importance sampling Monte Carlo methods; 5. More on importance sampling Monte Carlo methods of lattice systems; 6. Off-lattice models; 7. Reweighting methods; 8. Quantum Monte Carlo methods; 9. Monte Carlo renormalization group methods; 10. Non-equilibrium and irreversible processes; 11. Lattice gauge models: a brief introduction; 12. A brief review of other methods of computer simulation; 13. Monte Carlo simulations at the periphery of physics and beyond; 14. Monte Carlo studies of biological molecules; 15. Outlook; Appendix; Index.

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