A guide to Monte Carlo simulations in statistical physics:
Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. The 5th edition contains extensive new material describing numerous powerful algori...
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| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2021
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| Ausgabe: | Fifth edition. |
| Links: | https://doi.org/10.1017/9781108780346 |
| Zusammenfassung: | Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. The 5th edition contains extensive new material describing numerous powerful algorithms and methods that represent recent developments in the field. New topics such as active matter and machine learning are also introduced. Throughout, there are many applications, examples, recipes, case studies, and exercises to help the reader fully comprehend the material. This book is ideal for graduate students and researchers, both in academia and industry, who want to learn techniques that have become a third tool of physical science, complementing experiment and analytical theory. |
| Umfang: | 1 Online-Ressource (xviii, 564 Seiten) |
| ISBN: | 9781108780346 |
Internformat
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| 245 | 1 | 2 | |a A guide to Monte Carlo simulations in statistical physics |c David P. Landau, Center for Simulational Physics, University of Georgia, USA, Kurt Binder, Institut f�ur Physik, Johannes-Gutenberg-Universit�at, Germany |
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| spelling | Landau, David P. A guide to Monte Carlo simulations in statistical physics David P. Landau, Center for Simulational Physics, University of Georgia, USA, Kurt Binder, Institut f�ur Physik, Johannes-Gutenberg-Universit�at, Germany Fifth edition. Cambridge Cambridge University Press 2021 1 Online-Ressource (xviii, 564 Seiten) txt c cr Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. The 5th edition contains extensive new material describing numerous powerful algorithms and methods that represent recent developments in the field. New topics such as active matter and machine learning are also introduced. Throughout, there are many applications, examples, recipes, case studies, and exercises to help the reader fully comprehend the material. This book is ideal for graduate students and researchers, both in academia and industry, who want to learn techniques that have become a third tool of physical science, complementing experiment and analytical theory. Binder, K. 1944- Erscheint auch als Druck-Ausgabe 9781108490146 |
| 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, Center for Simulational Physics, University of Georgia, USA, Kurt Binder, Institut f�ur Physik, Johannes-Gutenberg-Universit�at, Germany |
| title_fullStr | A guide to Monte Carlo simulations in statistical physics David P. Landau, Center for Simulational Physics, University of Georgia, USA, Kurt Binder, Institut f�ur Physik, Johannes-Gutenberg-Universit�at, Germany |
| title_full_unstemmed | A guide to Monte Carlo simulations in statistical physics David P. Landau, Center for Simulational Physics, University of Georgia, USA, Kurt Binder, Institut f�ur Physik, Johannes-Gutenberg-Universit�at, Germany |
| 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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