Astrophysics Through Computation
With Mathematica® Support
(Sprache: Englisch)
This new astrophysics text integrates analytical and computational methods to explore a broad range of topics in astrophysics.
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Produktinformationen zu „Astrophysics Through Computation “
This new astrophysics text integrates analytical and computational methods to explore a broad range of topics in astrophysics.
Klappentext zu „Astrophysics Through Computation “
This new text surveys a series of fundamental problems in astrophysics, both analytically and computationally, for advanced students in physics and astrophysics. The contents are supported by more than 110 class-tested Mathematica® notebooks, allowing rigorous solutions to be explored in a visually engaging way. Topics covered include many classical and historically interesting problems, enabling students to appreciate the mathematical and scientific challenges that have been overcome in the subject's development. The text also shows the advantages and disadvantages of using analytical and computational methods. It will serve students, professionals and capable amateurs to master the quantitative details of modern astrophysics and the computational aspects of their research projects. Downloadable Mathematica® resources available at www.cambridge.org/koberlein.
Inhaltsverzeichnis zu „Astrophysics Through Computation “
Preface; 1. Introduction; 2. Stellar atmospheres; 3. Stellar interiors; 4. Extreme classical stars; 5. General relativity and applications; 6. Binaries and clusters; 7. Astrophysical plasmas; 8. Galaxies; 9. Cosmic structures; References; Index.
Autoren-Porträt von Brian Koberlein, David Meisel
Koberlein, BrianBrian Koberlein is Senior Lecturer in Physics and Astronomy at the Rochester Institute of Technology.
Meisel, David
David Meisel is Distinguished Professor of Physics and Astronomy at the State University of New York, Geneseo.
Bibliographische Angaben
- Autoren: Brian Koberlein , David Meisel
- 384 Seiten, Gebunden, Englisch
- Verlag: Cambridge University Press
- ISBN-10: 1107010748
- ISBN-13: 9781107010741
Sprache:
Englisch
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