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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| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2021
|
| Edition: | Fifth edition |
| Subjects: | |
| Online Access: | BSB01 FHN01 Volltext |
| Summary: | 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 |
| Item Description: | Title from publisher's bibliographic system (viewed on 25 Nov 2021) |
| Physical Description: | 1 Online-Ressource (xviii, 564 Seiten) |
| ISBN: | 9781108780346 |
| DOI: | 10.1017/9781108780346 |
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| 500 | |a Title from publisher's bibliographic system (viewed on 25 Nov 2021) | ||
| 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. 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 | ||
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| discipline | Physik Mathematik |
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| doi_str_mv | 10.1017/9781108780346 |
| edition | Fifth edition |
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| id | DE-604.BV047655346 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:50:58Z |
| indexdate | 2024-07-10T09:18:26Z |
| institution | BVB |
| isbn | 9781108780346 |
| language | English |
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| spelling | Landau, David P. 1941- (DE-588)131584960 aut 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 rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 25 Nov 2021) 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 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 DE-604 Binder, Kurt 1944-2022 (DE-588)115452907 aut Erscheint auch als Druck-Ausgabe 978-1-108-49014-6 https://doi.org/10.1017/9781108780346 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Landau, David P. 1941- Binder, Kurt 1944-2022 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_exact_search_txtP | 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 | 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/10.1017/9781108780346 |
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