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  3. A Guide to Monte Carlo Simulations in Statistical Physics
  • Cited by 73
Publisher:
Cambridge University Press
Online publication date:
November 2021
Print publication year:
2021
Online ISBN:
9781108780346
DOI:
https://doi.org/10.1017/9781108780346
Subjects:
Physics and Astronomy, Mathematical Methods, Statistical Physics
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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. The 5th edition contains extensive new material describing numerous powerful algorithms and methods that represent recent developments in the field. New topics such as active matter and machine learning are also introduced. Throughout, there are many applications, examples, recipes, case studies, and exercises to help the reader fully comprehend the material. This book 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

‘… a comprehensive guide through the multifaceted world of Monte Carlo methods in physics and related branches of science. This work can be recommended to students starting their way in statistical physics simulations as well as to established researchers who needed a fast reference to some particular issues because it comprises a sequential line of explanations with a well-organized compendium of methods and recipes supplied with lists of original papers.’

Eugene Postnikov Source: zbMATH

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