Review
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



Book 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.



Book Info
Deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics as well as in related fields. After briefly recalling essential background in statistical mechanics and probability theory, the authors give a succinct overview of simple sampling methods. Softcover. DLC: Monte Carlo method. --This text refers to an out of print or unavailable edition of this title.



About the Author
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.