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  3. A Guide to Monte Carlo Simulations in Statistical Physics
  • Cited by 356
Publisher:
Cambridge University Press
Online publication date:
February 2011
Print publication year:
2009
Online ISBN:
9780511994944
DOI:
https://doi.org/10.1017/CBO9780511994944
Subjects:
Physics and Astronomy, Condensed Matter Physics, Nanoscience and Mesoscopic Physics, Statistical Physics
Information

Book description

Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. This edition now contains material describing powerful new algorithms that have appeared since the previous edition was published, and highlights recent technical advances and key applications that these algorithms now make possible. Updates also include several new sections and a chapter on the use of Monte Carlo simulations of biological molecules. Throughout the book there are many applications, examples, recipes, case studies, and exercises to help the reader understand the material. It is ideal for graduate students and researchers, both in academia and industry, who want to learn techniques that have become a third tool of physical science, complementing experiment and analytical theory.

Reviews

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 Source: Journal of Statistical Physics

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