A Guide to Monte Carlo Simulations in Statistical Physics (Hardcover, 5th Revised edition)

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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. 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.

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Product 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.

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Product Details

General

Imprint

Cambridge UniversityPress

Country of origin

United Kingdom

Release date

July 2021

Availability

Expected to ship within 10 - 15 working days

Authors

,

Dimensions

251 x 175 x 32mm (L x W x T)

Format

Hardcover

Pages

578

Edition

5th Revised edition

ISBN-13

978-1-108-49014-6

Barcode

9781108490146

Categories

LSN

1-108-49014-X



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