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 fourth edition contains extensive new material describing numerous powerful al...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2015
|
| Ausgabe: | Fourth edition |
| Schlagworte: | |
| 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 fourth edition contains extensive new material describing numerous powerful algorithms not covered in previous editions, in some cases representing new developments that have only recently appeared. Older methodologies whose impact was previously unclear or unappreciated are also introduced, in addition to many small revisions that bring the text and cited literature up to date. This edition also introduces the use of petascale computing facilities in the Monte Carlo arena. 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: | xvii, 519 pages |
| ISBN: | 9781107074026 |
Internformat
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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 fourth edition contains extensive new material describing numerous powerful algorithms not covered in previous editions, in some cases representing new developments that have only recently appeared. Older methodologies whose impact was previously unclear or unappreciated are also introduced, in addition to many small revisions that bring the text and cited literature up to date. This edition also introduces the use of petascale computing facilities in the Monte Carlo arena. 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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Datensatz im Suchindex
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| author | Landau, David P. 1941- |
| author_GND | (DE-588)131584960 (DE-588)115452907 |
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| building | Verbundindex |
| bvnumber | BV045872697 |
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| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 530 - Physics |
| dewey-raw | 530.13 |
| dewey-search | 530.13 |
| dewey-sort | 3530.13 |
| dewey-tens | 530 - Physics |
| discipline | Physik |
| edition | Fourth edition |
| format | Book |
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| id | DE-604.BV045872697 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:29:02Z |
| institution | BVB |
| isbn | 9781107074026 |
| language | English |
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| physical | xvii, 519 pages |
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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, Center for Simulational Physics, University of Georgia, USA, Kurt Binder, Institut für Physik, Johannes-Gutenberg-Universität, Germany Fourth edition Cambridge Cambridge University Press 2015 xvii, 519 pages txt rdacontent n rdamedia nc rdacarrier 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 fourth edition contains extensive new material describing numerous powerful algorithms not covered in previous editions, in some cases representing new developments that have only recently appeared. Older methodologies whose impact was previously unclear or unappreciated are also introduced, in addition to many small revisions that bring the text and cited literature up to date. This edition also introduces the use of petascale computing facilities in the Monte Carlo arena. 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 Online-Ausgabe 978-1-139-69646-3 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, Center for Simulational Physics, University of Georgia, USA, Kurt Binder, Institut für Physik, Johannes-Gutenberg-Universität, 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 für Physik, Johannes-Gutenberg-Universität, 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 für Physik, Johannes-Gutenberg-Universität, 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 |
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