Computational Physics: With Worked Out Examples in FORTRAN and MATLAB
The work shows, by means of examples coming from different corners of physics, how physical and mathematical questions can be answered using a computer. Starting with maps and neural networks, applications from Newton's mechanics described by ordinary differential equations come into the focus,...
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin ; Boston
De Gruyter
[2023]
|
| Edition: | 2nd., revised and extended edition |
| Series: | De Gruyter Textbook
|
| Subjects: | |
| Online Access: | DE-1043 DE-1046 DE-858 DE-573 DE-859 DE-860 DE-739 Volltext |
| Summary: | The work shows, by means of examples coming from different corners of physics, how physical and mathematical questions can be answered using a computer. Starting with maps and neural networks, applications from Newton's mechanics described by ordinary differential equations come into the focus, like the computation of planetary orbits or classical molecular dynamics. A large part of the textbook is dedicated to deterministic chaos normally encountered in systems with sufficiently many degrees of freedom. Partial differential equations are studied considering (nonlinear) field theories like quantum mechanics, thermodynamics or fluid mechanics. In the second edition, a new chapter gives a detailed survey on delay or memory systems with a direct application to epidemic and road traffic models. Most of the algorithms are realized in FORTRAN, a language most suitable for effectively solving the discussed problems. On the other hand, the codes given and presented on the book's homepage can be easily translated into other languages. Moreover, several MATLAB examples are presented, mainly for didactic reasons. The book is addressed to advanced Bachelor or Master students of physics, applied mathematics and mechanical engineering |
| Item Description: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 02. Mai 2023) |
| Physical Description: | 1 Online-Ressource (XII, 396 Seiten) |
| ISBN: | 9783110782523 |
| DOI: | 10.1515/9783110782523 |
Staff View
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| author | Bestehorn, Michael 1957- |
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| discipline | Physik Informatik Mathematik |
| discipline_str_mv | Physik Informatik Mathematik |
| doi_str_mv | 10.1515/9783110782523 |
| edition | 2nd., revised and extended edition |
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| indexdate | 2025-02-19T17:37:04Z |
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| isbn | 9783110782523 |
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| spelling | Bestehorn, Michael 1957- Verfasser (DE-588)112842763 aut Computational Physics With Worked Out Examples in FORTRAN and MATLAB Michael Bestehorn 2nd., revised and extended edition Berlin ; Boston De Gruyter [2023] © 2023 1 Online-Ressource (XII, 396 Seiten) txt rdacontent c rdamedia cr rdacarrier De Gruyter Textbook Description based on online resource; title from PDF title page (publisher's Web site, viewed 02. Mai 2023) The work shows, by means of examples coming from different corners of physics, how physical and mathematical questions can be answered using a computer. Starting with maps and neural networks, applications from Newton's mechanics described by ordinary differential equations come into the focus, like the computation of planetary orbits or classical molecular dynamics. A large part of the textbook is dedicated to deterministic chaos normally encountered in systems with sufficiently many degrees of freedom. Partial differential equations are studied considering (nonlinear) field theories like quantum mechanics, thermodynamics or fluid mechanics. In the second edition, a new chapter gives a detailed survey on delay or memory systems with a direct application to epidemic and road traffic models. Most of the algorithms are realized in FORTRAN, a language most suitable for effectively solving the discussed problems. On the other hand, the codes given and presented on the book's homepage can be easily translated into other languages. Moreover, several MATLAB examples are presented, mainly for didactic reasons. The book is addressed to advanced Bachelor or Master students of physics, applied mathematics and mechanical engineering In English Monte-Carlo-Methoden Musterbildung in Flüssigkeiten Nichtlineare Modelle Numerische Methoden für Differentialgleichungen Verzögerungsgleichungen SCIENCE / Physics / Mathematical & Computational bisacsh Computerphysik (DE-588)4273564-6 gnd rswk-swf (DE-588)4123623-3 Lehrbuch gnd-content Computerphysik (DE-588)4273564-6 s DE-604 Erscheint auch als Druck-Ausgabe 9783110782363 https://doi.org/10.1515/9783110782523 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Bestehorn, Michael 1957- Computational Physics With Worked Out Examples in FORTRAN and MATLAB Monte-Carlo-Methoden Musterbildung in Flüssigkeiten Nichtlineare Modelle Numerische Methoden für Differentialgleichungen Verzögerungsgleichungen SCIENCE / Physics / Mathematical & Computational bisacsh Computerphysik (DE-588)4273564-6 gnd |
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| title | Computational Physics With Worked Out Examples in FORTRAN and MATLAB |
| title_auth | Computational Physics With Worked Out Examples in FORTRAN and MATLAB |
| title_exact_search | Computational Physics With Worked Out Examples in FORTRAN and MATLAB |
| title_exact_search_txtP | Computational Physics With Worked Out Examples in FORTRAN and MATLAB |
| title_full | Computational Physics With Worked Out Examples in FORTRAN and MATLAB Michael Bestehorn |
| title_fullStr | Computational Physics With Worked Out Examples in FORTRAN and MATLAB Michael Bestehorn |
| title_full_unstemmed | Computational Physics With Worked Out Examples in FORTRAN and MATLAB Michael Bestehorn |
| title_short | Computational Physics |
| title_sort | computational physics with worked out examples in fortran and matlab |
| title_sub | With Worked Out Examples in FORTRAN and MATLAB |
| topic | Monte-Carlo-Methoden Musterbildung in Flüssigkeiten Nichtlineare Modelle Numerische Methoden für Differentialgleichungen Verzögerungsgleichungen SCIENCE / Physics / Mathematical & Computational bisacsh Computerphysik (DE-588)4273564-6 gnd |
| topic_facet | Monte-Carlo-Methoden Musterbildung in Flüssigkeiten Nichtlineare Modelle Numerische Methoden für Differentialgleichungen Verzögerungsgleichungen SCIENCE / Physics / Mathematical & Computational Computerphysik Lehrbuch |
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