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H(curl) Spectral Elements: Solvers and Domain Decomposition Methods
Details
For problems with piecewise smooth solutions, spectral element methods (SEM) hold great promise, combining the fast exponential convergence of spectral methods with the flexibility of finite elements. Once the problems are discretized with SEM, fast direct solvers are needed for the resulting systems. When the systems become too large, iterative solvers and good preconditioners are needed. Up to now, SEM have been mostly applied to elliptic problems (e.g., Poisson equations) and to fluid dynamics. This book applies SEM to problems derived from Maxwell equations, which present new issues and challenges. We derive and describe the problems, discretize them, develop several fast solvers for them, construct domain decomposition preconditioners for them, test the solvers and preconditioners on examples, and prove that the preconditioners are optimal, introducing many ideas, methods, and results along the way. The book presents an accessible introduction to SEM, domain decomposition methods, and fast solvers, applied to computational electromagnetics. It should be useful and interesting for both beginners and specialists.
Autorentext
Ph.D. (Mathematics) from the Courant Institute of Mathematical Sciences at New York University, M.S. (Mathematics, Minor: Computer Science) from University of Cologne (Germany). 10 years research and application experience in spectral element methods for various applications. Presented work at talks and conferences.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783639173659
- Sprache Englisch
- Größe H220mm x B150mm x T11mm
- Jahr 2009
- EAN 9783639173659
- Format Kartonierter Einband (Kt)
- ISBN 978-3-639-17365-9
- Titel H(curl) Spectral Elements: Solvers and Domain Decomposition Methods
- Autor Bernhard Hientzsch
- Untertitel Spectral Elements for Problems in H1 and H(Curl): Discretizations, Fast Solvers, and Domain Decomposition Preconditioners
- Gewicht 284g
- Herausgeber VDM Verlag
- Anzahl Seiten 180
- Genre Mathematik