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A Guide to Monte Carlo Simulations in Statistical Physics - David P. Landau, Kurt Binder

A Guide to Monte Carlo Simulations in Statistical Physics

Buch | Hardcover
448 Seiten
2005 | 2nd Revised edition
Cambridge University Press (Verlag)
978-0-521-84238-9 (ISBN)
CHF 87,25 inkl. MwSt
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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.
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.

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.

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 method 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.

Erscheint lt. Verlag 1.9.2005
Zusatzinfo 6 Tables, unspecified; 7 Halftones, unspecified; 136 Line drawings, unspecified
Verlagsort Cambridge
Sprache englisch
Maße 182 x 255 mm
Gewicht 1045 g
Themenwelt Naturwissenschaften Physik / Astronomie Theoretische Physik
ISBN-10 0-521-84238-7 / 0521842387
ISBN-13 978-0-521-84238-9 / 9780521842389
Zustand Neuware
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