Computational Methods for Astrophysical Fluid Flow: Saas-Fee Advanced Course 27. Lecture Notes 1997 Swiss Society for Astrophysics and Astronomy. Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer, 1998
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In English.
Codice articolo ria9783540644484_new
- Titolo
- Computational Methods for Astrophysical Fluid Flow: Saas-Fee Advanced Course 27. Lecture Notes 1997 Swiss Society for Astrophysics and Astronomy
- Autore
- LeVeque, Randall J.; Mihalas, Dimitri; Dorfi, E.A.; Müller, Ewald
- Editore
- Springer
- Anno di pubblicazione
- 1998
- Condizione
- New
- Rilegatura
- Rilegato
- Lingua
- inglese
- ISBN 10
- 3540644482
- ISBN 13
- 9783540644484
- Peso dell'articolo
- 1029 grammi
- Serie
- Libro 6 di 26: Saas-Fee Advanced Course
This book leads directly to the most modern numerical techniques for compressible fluid flow, with special consideration given to astrophysical applications. Emphasis is put on high-resolution shock-capturing finite-volume schemes based on Riemann solvers. The applications of such schemes, in particular the PPM method, are given and include large-scale simulations of supernova explosions by core collapse and thermonuclear burning and astrophysical jets. Parts two and three treat radiation hydrodynamics. The power of adaptive (moving) grids is demonstrated with a number of stellar-physical simulations showing very crispy shock-front structures.
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Dalla quarta di copertina
Four lectures lead the reader from basic numerical methods for solving hyperbolic partial differential equations to the application of complex simulation codes to selected astrophysical problems. The text highlights the powerful capabilities, the use, and the pitfalls of computational astrophysics. Difficult topics pertaining to astrophysical problem solving, such as gravitation, magnetic fields, reactive flow, and relativity, are addressed. Two lectures are devoted to radiation hydrodynamics. They treat the derivation of the basic equations and numerical methods. This book will be useful to students and researchers in astrophysics and applied mathematics.
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