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A Guide to Monte Carlo Simulations in Statistical Physics

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This new and updated edition deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics, statistical mechanics, and related fields. After briefly recalling essential background in statistical mechanics and probability theory, it gives a succinct overview of simple sampling methods. The concepts behind the simulation algorithms are explained comprehensively, as are the techniques for efficient evaluation of system configurations generated by simulation. It contains many applications, examples, and exercises to help the reader and provides many new references to more specialized literature. This edition includes a brief overview of other methods of computer simulation and an outlook for the use of Monte Carlo simulations in disciplines beyond physics. This is an excellent guide for graduate students and researchers who use computer simulations in their research. It can be used as a textbook for graduate courses on computer simulations in physics and related disciplines.

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Publisher

: Cambridge University Press., 2005

Collation

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Language

English

ISBN/ISSN

9780511614460

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

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

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Cataloger

Arin

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Digital Object Identifier (DOI)

https://www.cambridge.org/core/books/guide-to-monte-carlo-simulations-in-statistical-physics/E12BBDF4AE1AFF33BF81045D900917C2#fndtn-information

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