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A Guide to Monte Carlo Simulations in Statistical Physics

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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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Detail Information

Series Title

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Call Number

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Publisher

: Cambridge University Press., 2001

Collation

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Language

English

ISBN/ISSN

9781108780346

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Mathematical Methods
Physics and Astronomy,
Statistical physics

Specific Detail Info

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Statement of Responsibility

David Landau, Kurt Binder

Other Information

Cataloger

Arin

Source

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Validator

maya

Digital Object Identifier (DOI)

https://www.cambridge.org/core/books/guide-to-monte-carlo-simulations-in-statistical-physics/8AE32744A1EBA8EEBC4E5BC50732B15A#fndtn-information

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