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A Guide to Monte Carlo Simulations i...
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Ebooks Corporation.
A Guide to Monte Carlo Simulations in Statistical Physics.
紀錄類型:
書目-電子資源 : 單行本
正題名/作者:
A Guide to Monte Carlo Simulations in Statistical Physics./
作者:
Landau, David P.
其他作者:
Binder, Kurt.
出版者:
Cambridge :Cambridge University Press, : 2005.,
面頁冊數:
450 p.
標題:
Monte Carlo method. -
電子資源:
Click here to view book
ISBN:
9780511614460 (electronic bk.)
A Guide to Monte Carlo Simulations in Statistical Physics.
Landau, David P.
A Guide to Monte Carlo Simulations in Statistical Physics.
[electronic resource]. - 2nd ed. - Cambridge :Cambridge University Press,2005. - 450 p.
Cover; Half-title; Title; Copyright; Contents; Preface; 1 Introduction; 2 Some necessary background; 3 Simple sampling Monte Carlo methods; 4 Importance sampling Monte Carlo methods; 5 More on importance sampling Monte Carlo methods for lattice systems; 6 Off-lattice models; 7 Reweighting methods; 8 Quantum Monte Carlo methods; 9 Monte Carlo renormalization group methods; 10 Non-equilibrium and irreversible processes; 11 Lattice gauge models: a brief introduction; 12 A brief review of other methods of computer simulation; 13 Monte Carlo methods outside of physics; 14 Outlook; Appendix; Index
This updated edition deals with the Monte Carlo simulation of complex physical systems encountered in condensed-matter physics, statistical mechanics, and related fields. It contains many applications, examples, and exercises to help the reader. It is an excellent guide for graduate students and researchers who use computer simulations in their research.
Electronic reproduction.
Available via World Wide Web.
Mode of access: World Wide Web.
ISBN: 9780511614460 (electronic bk.)Subjects--Topical Terms:
122540
Monte Carlo method.
Index Terms--Genre/Form:
96803
Electronic books.
LC Class. No.: QC174.85.M64L36 2005eb
Dewey Class. No.: 530.13
A Guide to Monte Carlo Simulations in Statistical Physics.
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Cambridge University Press,
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450 p.
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This updated edition deals with the Monte Carlo simulation of complex physical systems encountered in condensed-matter physics, statistical mechanics, and related fields. It contains many applications, examples, and exercises to help the reader. It is an excellent guide for graduate students and researchers who use computer simulations in their research.
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Monte Carlo method.
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