Numerical methods in physics with Python:
Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems o...
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge, United Kingdom
Cambridge University Press
2023
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| Edition: | Second edition |
| Subjects: | |
| Online Access: | DE-12 DE-634 DE-M347 DE-92 Volltext |
| Summary: | Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject |
| Item Description: | Title from publisher's bibliographic system (viewed on 30 Aug 2023) |
| Physical Description: | 1 Online-Ressource (xvi, 688 Seiten) |
| ISBN: | 9781009303897 |
| DOI: | 10.1017/9781009303897 |
Staff View
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| institution | BVB |
| isbn | 9781009303897 |
| language | English |
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| physical | 1 Online-Ressource (xvi, 688 Seiten) |
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| spelling | Gezerlis, Alex ca. 20./21. Jh. (DE-588)1218249439 aut Numerical methods in physics with Python Alex Gezerlis, University of Guelph Second edition Cambridge, United Kingdom Cambridge University Press 2023 1 Online-Ressource (xvi, 688 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 30 Aug 2023) Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject Mathematical physics / Data processing Numerical analysis / Data processing Python (Computer program language) Datenanalyse (DE-588)4123037-1 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Numerisches Verfahren (DE-588)4128130-5 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 s Datenanalyse (DE-588)4123037-1 s Numerisches Verfahren (DE-588)4128130-5 s DE-604 Erscheint auch als Druck-Ausgabe 978-1-009-30385-9 Erscheint auch als Druck-Ausgabe 978-1-009-30386-6 https://doi.org/10.1017/9781009303897 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Gezerlis, Alex ca. 20./21. Jh Numerical methods in physics with Python Mathematical physics / Data processing Numerical analysis / Data processing Python (Computer program language) Datenanalyse (DE-588)4123037-1 gnd Python Programmiersprache (DE-588)4434275-5 gnd Numerisches Verfahren (DE-588)4128130-5 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4434275-5 (DE-588)4128130-5 |
| title | Numerical methods in physics with Python |
| title_auth | Numerical methods in physics with Python |
| title_exact_search | Numerical methods in physics with Python |
| title_exact_search_txtP | Numerical methods in physics with Python |
| title_full | Numerical methods in physics with Python Alex Gezerlis, University of Guelph |
| title_fullStr | Numerical methods in physics with Python Alex Gezerlis, University of Guelph |
| title_full_unstemmed | Numerical methods in physics with Python Alex Gezerlis, University of Guelph |
| title_short | Numerical methods in physics with Python |
| title_sort | numerical methods in physics with python |
| topic | Mathematical physics / Data processing Numerical analysis / Data processing Python (Computer program language) Datenanalyse (DE-588)4123037-1 gnd Python Programmiersprache (DE-588)4434275-5 gnd Numerisches Verfahren (DE-588)4128130-5 gnd |
| topic_facet | Mathematical physics / Data processing Numerical analysis / Data processing Python (Computer program language) Datenanalyse Python Programmiersprache Numerisches Verfahren |
| url | https://doi.org/10.1017/9781009303897 |
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