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. This edition now contains material describing powerful new algorithms that have app...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2009
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| Ausgabe: | Third edition |
| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| 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. This edition now contains material describing powerful new algorithms that have appeared since the previous edition was published, and highlights recent technical advances and key applications that these algorithms now make possible. Updates also include several new sections and a chapter on the use of Monte Carlo simulations of biological molecules. Throughout the book there are many applications, examples, recipes, case studies, and exercises to help the reader understand the material. It 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xv, 471 pages) |
| ISBN: | 9780511994944 |
| DOI: | 10.1017/CBO9780511994944 |
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| 520 | |a 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. This edition now contains material describing powerful new algorithms that have appeared since the previous edition was published, and highlights recent technical advances and key applications that these algorithms now make possible. Updates also include several new sections and a chapter on the use of Monte Carlo simulations of biological molecules. Throughout the book there are many applications, examples, recipes, case studies, and exercises to help the reader understand the material. It 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 | ||
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| dewey-full | 530.1322 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 530 - Physics |
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| dewey-sort | 3530.1322 |
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| discipline | Physik Mathematik |
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| edition | Third edition |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:19Z |
| institution | BVB |
| isbn | 9780511994944 |
| language | English |
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| spelling | Landau, David P. 1941- Verfasser (DE-588)131584960 aut A guide to Monte Carlo simulations in statistical physics David P. Landau, Kurt Binder Third edition Cambridge Cambridge University Press 2009 1 online resource (xv, 471 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 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. This edition now contains material describing powerful new algorithms that have appeared since the previous edition was published, and highlights recent technical advances and key applications that these algorithms now make possible. Updates also include several new sections and a chapter on the use of Monte Carlo simulations of biological molecules. Throughout the book there are many applications, examples, recipes, case studies, and exercises to help the reader understand the material. It 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 Monte Carlo method Statistical physics Statistische Physik (DE-588)4057000-9 gnd rswk-swf Monte-Carlo-Simulation (DE-588)4240945-7 gnd rswk-swf Monte-Carlo-Simulation (DE-588)4240945-7 s Statistische Physik (DE-588)4057000-9 s 1\p DE-604 Binder, Kurt 1944-2022 Sonstige (DE-588)115452907 oth Erscheint auch als Druckausgabe 978-0-521-76848-1 Erscheint auch als Druckausgabe 978-1-107-64980-4 https://doi.org/10.1017/CBO9780511994944 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Landau, David P. 1941- A guide to Monte Carlo simulations in statistical physics Monte Carlo method Statistical physics Statistische Physik (DE-588)4057000-9 gnd Monte-Carlo-Simulation (DE-588)4240945-7 gnd |
| subject_GND | (DE-588)4057000-9 (DE-588)4240945-7 |
| 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 | a guide to monte carlo simulations in statistical physics |
| topic | Monte Carlo method Statistical physics Statistische Physik (DE-588)4057000-9 gnd Monte-Carlo-Simulation (DE-588)4240945-7 gnd |
| topic_facet | Monte Carlo method Statistical physics Statistische Physik Monte-Carlo-Simulation |
| url | https://doi.org/10.1017/CBO9780511994944 |
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