A Guide to Monte Carlo Simulations in Statistical Physics (Hardback)
  • A Guide to Monte Carlo Simulations in Statistical Physics (Hardback)
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A Guide to Monte Carlo Simulations in Statistical Physics (Hardback)

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£64.99
Hardback 488 Pages / Published: 10/09/2009
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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.

Publisher: Cambridge University Press
ISBN: 9780521768481
Number of pages: 488
Weight: 1100 g
Dimensions: 254 x 180 x 28 mm
Edition: 3rd Revised edition


MEDIA 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, Journal of Statistical Physics
"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

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