A 2007 graduate text on spectral methods with applications in fluid dynamics and engineering. Series Editor(s): Ablowitz, Mark J.; Davis, S. H.; Hinch, E. J.; Iserles, A.; Ockendon, J.; Olver, P. J. Series: Cambridge Monographs on Applied and Computational Mathematics. Num Pages: 284 pages, 50 b/w illus. BIC Classification: PBKS. Category: (P) Professional & Vocational. Dimension: 161 x 236 x 29. Weight in Grams: 578. . 2007. Hardback. . . . .

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Bibliographic Details

Title: Spectral Methods for Time-Dependent Problems
Publisher: Cambridge University Press
Publication Date: 2007
Language: English
ISBN 10: 0521792118
ISBN 13: 9780521792110
Binding: Hardcover
Condition: New

About this title

Synopsis

Spectral methods are well-suited to solve problems modeled by time-dependent partial differential equations: they are fast, efficient and accurate and widely used by mathematicians and practitioners. This class-tested 2007 introduction, the first on the subject, is ideal for graduate courses, or self-study. The authors describe the basic theory of spectral methods, allowing the reader to understand the techniques through numerous examples as well as more rigorous developments. They provide a detailed treatment of methods based on Fourier expansions and orthogonal polynomials (including discussions of stability, boundary conditions, filtering, and the extension from the linear to the nonlinear situation). Computational solution techniques for integration in time are dealt with by Runge-Kutta type methods. Several chapters are devoted to material not previously covered in book form, including stability theory for polynomial methods, techniques for problems with discontinuous solutions, round-off errors and the formulation of spectral methods on general grids. These will be especially helpful for practitioners.

About the Authors

Jan Hesthaven is a Professor of Applied Mathematics at Brown University.

Sigal Gottlieb is an Associate Professor at the Department of Mathematics, University of Massachusetts, Dartmouth.

David Gottlieb is a Professor in the Division of Applied Mathematics, Brown University.

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