Computational Physics
With Worked Out Examples in FORTRAN® and MATLAB®
Seiten
2023
|
2nd., revised and extended edition
De Gruyter (Verlag)
978-3-11-078236-3 (ISBN)
De Gruyter (Verlag)
978-3-11-078236-3 (ISBN)
- Presents computer applications in numerous areas of physics.
- Exercises with solutions encouraging self-study.
- NEW extensive chapter on 'Ordinary Differential Equations with Memory and Delay'.
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.
- Fachbuch-Bestseller: Physik (Nr. 8/2023) — Platz 7
- Fachbuch-Bestseller: Physik (Nr. 6/2023) — Platz 9
Prof. Dr. Michael Bestehorn, Brandenburgische Technical University Cottbus, Department for Theoretical Physics II, Erich-Weinert-Str. 1, 03044 Cottbus, Germany.
For the 1rst edition:
"It is very interesting for its field that it is addressed. It is very useful for both undergraduate and postgraduate students and scientists of various research areas with applications that use especially ordinary differential equations (ODE), and partial differential equations (PDE) (linear and nonlinear)."
Maria Gousidou-Koutita in: Zentrablatt MATH 1394.65002
| Erscheinungsdatum | 21.03.2023 |
|---|---|
| Reihe/Serie | De Gruyter Textbook |
| Zusatzinfo | 193 col. ill., 7 b/w tbl. |
| Verlagsort | Berlin/Boston |
| Sprache | englisch |
| Maße | 170 x 240 mm |
| Gewicht | 704 g |
| Einbandart | kartoniert |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
| Naturwissenschaften ► Physik / Astronomie ► Mechanik | |
| Technik ► Maschinenbau | |
| Schlagworte | Delay Equations • Differential Equations with Memory and Delay • Differentialgleichungen mit Speicher und Verzögerung • Gewöhnliche Differentialgleichungen • Monte Carlo integration • Monte-Carlo-Methoden • Monte Carlo methods • Musterbildung in Flüssigkeiten • Nichtlineare Modelle • Nonlinear models • numerical methods for differential equations • Numerische Methoden für Differentialgleichungen • Ordinary differential equations • Partial differential equations • Partielle Differentialgleichungen • Pattern formation in fluids • Verzögerungsgleichungen |
| ISBN-10 | 3-11-078236-7 / 3110782367 |
| ISBN-13 | 978-3-11-078236-3 / 9783110782363 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Buch | Softcover (2024)
Springer Vieweg (Verlag)
CHF 53,15
Buch | Softcover (2024)
Springer Vieweg (Verlag)
CHF 62,95
