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Book Cover
E-book
Author Kopriva, David A.

Title Implementing spectral methods for partial differential equations : algorithms for scientists and engineers / David A. Kopriva
Published [Dordrecht] : Springer, ©2009

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Description 1 online resource (xviii, 394 pages) : illustrations
Series Scientific computation
Scientific computation.
Contents Approximating Functions, Derivatives and Integrals -- Spectral Approximation -- Algorithms for Periodic Functions -- Algorithms for Non-Periodic Functions -- Approximating Solutions of PDEs -- Survey of Spectral Approximations -- Spectral Approximation on the Square -- Transformation Methods from Square to¡Non-Square Geometries -- Spectral Methods in Non-Square Geometries -- Spectral Element Methods -- Erratum -- Erratum
Summary This book offers a systematic and self-contained approach to solve partial differential equations numerically using single and multidomain spectral methods. It contains detailed algorithms in pseudocode for the application of spectral approximations to both one and two dimensional PDEs of mathematical physics describing potentials, transport, and wave propagation. David Kopriva, a well-known researcher in the field with extensive practical experience, shows how only a few fundamental algorithms form the building blocks of any spectral code, even for problems with complex geometries. The book addresses computational and applications scientists, as it emphasizes the practical derivation and implementation of spectral methods over abstract mathematics. It is divided into two parts: First comes a primer on spectral approximation and the basic algorithms, including FFT algorithms, Gauss quadrature algorithms, and how to approximate derivatives. The second part shows how to use those algorithms to solve steady and time dependent PDEs in one and two space dimensions. Exercises and questions at the end of each chapter encourage the reader to experiment with the algorithms
Analysis Differential equations, Partial
Spectral theory (Mathematics)
Bibliography Includes bibliographical references (pages 385-386) and indexes
Notes English
Print version record
In Springer eBooks
Subject Differential equations, Partial.
Spectral theory (Mathematics)
Mathematics.
Mathematics
MATHEMATICS -- Functional Analysis.
Spectral theory (Mathematics)
Differential equations, Partial.
Differential equations, Partial
Spectral theory (Mathematics)
Genre/Form dissertations.
Academic theses
Academic theses.
Thèses et écrits académiques.
Form Electronic book
LC no. 2009922126
ISBN 9789048122615
9048122619
9789048122608
9048122600