A Guide to Monte Carlo Simulations in Statistical Physics
2nd Edition
Published on 6. October 2005
978-0-511-12838-7 (ISBN)
Description
This new and updated edition deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics, statistical mechanics, and related fields. After briefly recalling essential background in statistical mechanics and probability theory, it gives a succinct overview of simple sampling methods. The concepts behind the simulation algorithms are explained comprehensively, as are the techniques for efficient evaluation of system configurations generated by simulation. It contains many applications, examples, and exercises to help the reader and provides many new references to more specialized literature. This edition includes a brief overview of other methods of computer simulation and an outlook for the use of Monte Carlo simulations in disciplines beyond physics. This is an excellent guide for graduate students and researchers who use computer simulations in their research. It can be used as a textbook for graduate courses on computer simulations in physics and related disciplines.
Reviews / Votes
From 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.' Journal of Statistical Physics '... an excellent guide book...' Zentralblatt MATHMore details
Edition
2nd Revised edition
Language
English
Place of publication
Cambridge
United Kingdom
Publishing group
Cambridge University Press
Target group
Professional and scholarly
Edition type
Revised edition
Illustrations
6 Tables, unspecified; 7 Halftones, unspecified; 136 Line drawings, unspecified
File size
5,74 MB
ISBN-13
978-0-511-12838-7 (9780511128387)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
David P. Landau | Kurt Binder
A Guide to Monte Carlo Simulations in Statistical Physics
Book
09/2005
2nd Edition
Cambridge University Press
€61.90
Article exhausted; check for reprint
Persons
David P. Landau is the Distinguished Professor of Physics and Director of the Center for Simulational Physics at the University of Georgia. Kurt Binder is Professor of Theoretical Physics at the Johannes-Gutenberg-University of Mainz, Germany.
Content
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 method for 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 methods outside of physics; 14. Outlook.
