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A Guide to Monte Carlo Simulations in Statistical Physics书籍详细信息
- ISBN：9780521842389
- 作者：暂无作者
- 出版社：暂无出版社
- 出版时间：2011-12
- 页数：432
- 价格：353.70
- 纸张：胶版纸
- 装帧：精装
- 开本：32开
- 语言：未知
- 丛书：暂无丛书
- TAG：暂无
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内容简介：
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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作者介绍：
David P. Landau is the Distinguished Professor of Physics and
Director of the Center for Simulational Physics at the University
of Georgia.
Kurt Binder is Professor of Theoretical Physics at the
Johannes-Gutenberg-University of Mainz, Germany.
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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.
书籍介绍
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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