A Guide to Monte Carlo Simulations in Statistical Physics [Hardcover]

David P. Landau (Author), Kurt Binder (Author)

Book Description

ISBN-10: 0521768489 | ISBN-13: 978-0521768481 | Publication Date: October 12, 2009 | Edition: 3

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.

Editorial Reviews

Review

"A Guide to Monte Carlo Simulations in Statistical Physics is the most complete book on Monte Carlo simulations that I have ever read, written by two of the field's most well known and respected authorities. The book contains a detailed description of the different methods and techniques illustrated with clear and concrete examples, making it an invaluable reference for anyone-from novices to experts-interested in Monte Carlo simulations."
Alex Travesset, Computing in Science and Engineering

"This book provides a succint survey of what has been achieved in many areas of current research, and a rather good reference list."
Jesus Salas, Mathematical Reviews

Book Description

Expanding the discussion of Monte Carlo simulation in physics and related areas, this edition now contains material describing powerful new algorithms, recent technical advances and key applications. Many examples, recipes, case studies, and exercises are included, making this an ideal textbook for graduates and researchers.

See all Editorial Reviews

Product Details

• Hardcover: 488 pages
• Publisher: Cambridge University Press; 3 edition (October 12, 2009)
• Language: English
• ISBN-10: 0521768489
• ISBN-13: 978-0521768481
• Product Dimensions: 9.8 x 6.9 x 1 inches
• Shipping Weight: 2.4 pounds (View shipping rates and policies)
• Average Customer Review: 1.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #1,599,992 in Books (See Top 100 in Books)

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Most Helpful Customer Reviews

11 of 11 people found the following review helpful:

1.0 out of 5 stars Merely a collection of paper abstracts, hardly a "guide", October 6, 2008

By 

Rohar - See all my reviews

This review is from: A Guide to Monte Carlo Simulations in Statistical Physics (Hardcover)

I agree that it covers a lot of topics, many of them are important. They actually include much more topics in the second edition than the first one. However, the authors seldomly discuss one topic more than a page. It's like reading abstracts of papers. So if you already know the stuff, you don't need this book. Just go for some papers (papers are at least up to date). If you don't know anything about Monte Carlo sampling, this book is not going to help you too much. So don't waste your money on this book. Newman's book or Frenkel's book is much better.