This paper presents some efficient algorithms based on the spectral Laguerre approximations of temporal derivatives for time dependent problems. (~) 1999 Elsevier Science Ltd. All rights reserved.
Spectral methods for time-dependent problems
โ Scribed by Jan S. Hesthaven, Professor Sigal Gottlieb, David Gottlieb
- Book ID
- 127423723
- Publisher
- Cambridge University Press
- Year
- 2007
- Tongue
- English
- Weight
- 1 MB
- Series
- Cambridge monographs on applied and computational mathematics 21
- Category
- Library
- City
- Cambridge; New York
- ISBN
- 0521792118
No coin nor oath required. For personal study only.
โฆ 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 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.
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