Computational Physics : : With Worked Out Examples in FORTRAN® and MATLAB® / / Michael Bestehorn.
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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Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1 |
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Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2023] ©2023 |
Year of Publication: | 2023 |
Edition: | 2nd., revised and extended edition |
Language: | English |
Series: | De Gruyter Textbook
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Online Access: | |
Physical Description: | 1 online resource (XII, 396 p.) |
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024 | 7 | |a 10.1515/9783110782523 |2 doi | |
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035 | |a (OCoLC)1378176132 | ||
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041 | 0 | |a eng | |
044 | |a gw |c DE | ||
050 | 4 | |a QC20 |b .B4713 2023 | |
072 | 7 | |a SCI040000 |2 bisacsh | |
082 | 0 | 4 | |a 530.15 |2 23/eng/20230524 |
100 | 1 | |a Bestehorn, Michael, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
245 | 1 | 0 | |a Computational Physics : |b With Worked Out Examples in FORTRAN® and MATLAB® / |c Michael Bestehorn. |
250 | |a 2nd., revised and extended edition | ||
264 | 1 | |a Berlin ; |a Boston : |b De Gruyter, |c [2023] | |
264 | 4 | |c ©2023 | |
300 | |a 1 online resource (XII, 396 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a text file |b PDF |2 rda | ||
490 | 0 | |a De Gruyter Textbook | |
505 | 0 | 0 | |t Frontmatter -- |t Contents -- |t 1 Introduction -- |t 2 Nonlinear maps -- |t 3 Dynamical systems -- |t 4 Ordinary differential equations I, initial value problems -- |t 5 Ordinary differential equations II, boundary value problems -- |t 6 Ordinary differential equations III, memory, delay and noise -- |t 7 Partial differential equations I, basics -- |t 8 Partial differential equations II, applications -- |t 9 Monte Carlo methods -- |t A Matrices and systems of linear equations -- |t B Program library -- |t C Solutions of the problems -- |t D README and a short guide to FE-tools -- |t Index |
506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
520 | |a 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. | ||
530 | |a Issued also in print. | ||
538 | |a Mode of access: Internet via World Wide Web. | ||
546 | |a In English. | ||
588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 06. Mrz 2024) | |
650 | 0 | |a Mathematical physics. | |
650 | 0 | |a Physics |x Data processing. | |
650 | 4 | |a Monte-Carlo-Methoden. | |
650 | 4 | |a Musterbildung in Flüssigkeiten. | |
650 | 4 | |a Nichtlineare Modelle. | |
650 | 4 | |a Numerische Methoden für Differentialgleichungen. | |
650 | 4 | |a Verzögerungsgleichungen. | |
650 | 7 | |a SCIENCE / Physics / Mathematical & Computational. |2 bisacsh | |
653 | |a Delay equations. | ||
653 | |a Monte Carlo methods. | ||
653 | |a Nonlinear models. | ||
653 | |a Numerical methods for differential equations. | ||
653 | |a Pattern formation in fluids. | ||
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t DG Plus DeG Package 2023 Part 1 |z 9783111175782 |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE COMPLETE 2023 English |z 9783111319292 |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE COMPLETE 2023 |z 9783111318912 |o ZDB-23-DGG |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE Physics, Chemistry, Mat.Sc, Geosc 2023 English |z 9783111319230 |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE Physics, Chemistry, Mat.Sc, Geosc 2023 |z 9783111318660 |o ZDB-23-DPC |
776 | 0 | |c EPUB |z 9783110782660 | |
776 | 0 | |c print |z 9783110782363 | |
856 | 4 | 0 | |u https://doi.org/10.1515/9783110782523 |
856 | 4 | 0 | |u https://www.degruyter.com/isbn/9783110782523 |
856 | 4 | 2 | |3 Cover |u https://www.degruyter.com/document/cover/isbn/9783110782523/original |
912 | |a 978-3-11-117578-2 DG Plus DeG Package 2023 Part 1 |b 2023 | ||
912 | |a 978-3-11-131923-0 EBOOK PACKAGE Physics, Chemistry, Mat.Sc, Geosc 2023 English |b 2023 | ||
912 | |a 978-3-11-131929-2 EBOOK PACKAGE COMPLETE 2023 English |b 2023 | ||
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