A guide to Monte Carlo simulations in statistical physics:
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 succi...
Gespeichert in:
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| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2005
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| Ausgabe: | Second edition. |
| Links: | https://doi.org/10.1017/CBO9780511614460 |
| Zusammenfassung: | 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. |
| Umfang: | 1 Online-Ressource (xv, 432 Seiten) |
| ISBN: | 9780511614460 |
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| spelling | Landau, David P. A guide to Monte Carlo simulations in statistical physics David P. Landau, Kurt Binder Second edition. Cambridge Cambridge University Press 2005 1 Online-Ressource (xv, 432 Seiten) txt c cr 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. Binder, K. 1944- Erscheint auch als Druck-Ausgabe 9780521842389 |
| spellingShingle | Landau, David P. A guide to Monte Carlo simulations in statistical physics |
| title | A guide to Monte Carlo simulations in statistical physics |
| title_auth | A guide to Monte Carlo simulations in statistical physics |
| title_exact_search | A guide to Monte Carlo simulations in statistical physics |
| title_full | A guide to Monte Carlo simulations in statistical physics David P. Landau, Kurt Binder |
| title_fullStr | A guide to Monte Carlo simulations in statistical physics David P. Landau, Kurt Binder |
| title_full_unstemmed | A guide to Monte Carlo simulations in statistical physics David P. Landau, Kurt Binder |
| title_short | A guide to Monte Carlo simulations in statistical physics |
| title_sort | guide to monte carlo simulations in statistical physics |
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