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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. 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.

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Detail Information

Series Title

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Call Number

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Publisher

: Cambridge University Press., 2009

Collation

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Language

English

ISBN/ISSN

9780511994944

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

Ed. 1

Subject(s)

Physics and Astronomy,
Mesoscopic Physics, Statistical Physics
Condensed Matter Physics, Nanoscience

Specific Detail Info

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Statement of Responsibility

David P. Landau,Kurt Binder,

Other Information

Cataloger

Arin

Source

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Validator

maya

Digital Object Identifier (DOI)

https://doi.org/10.1017/CBO9780511994944

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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