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Implementing Spectral Methods for Partial Differential Equations: Algorithms for Scientists and Engineers

David A. Kopriva

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ISBN 10: 9048184843 / ISBN 13: 9789048184842
Published by Springer
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397 pages. Dimensions: 9.2in. x 6.1in. x 0.9in.This book is aimed to be both a textbook for graduate students and a starting point for applicationsscientists. It is designedto show how to implementspectral methods to approximate the solutions of partial differential equations. It presents a syst- atic development of the fundamental algorithms needed to write spectral methods codes to solve basic problems of mathematical physics, including steady potentials, transport, and wave propagation. As such, it is meant to supplement, not replace, more general monographs on spectral methods like the recently updated Spectral Methods: Fundamentals in Single Domains and Spectral Methods: Evolution to Complex Geometries and Applications to Fluid Dynamics by Canuto, Hussaini, Quarteroni and Zang, which provide detailed surveys of the variety of methods, their performance and theory. I was motivated by comments that I have heard over the years that spectral me- ods are too hard to implement. I hope to dispel this viewor at least to remove the too. Although it is true that a spectral code is harder to hack together than a s- ple nite difference code (at least a low order nite difference method on a square domain), I show that only a few fundamental algorithms for interpolation, differen- ation, FFT and quadraturethe subjects of basic numerical methods coursesform the building blocks of any spectral code, even for problems in complex geometries. Ipresentthealgorithmsnotonlytosolveproblemsin1D, but2Daswell, toshowthe exibility of spectral methods and to make as straightforward as possible the tr- sition from simple, exploratory programs that illustrate the behavior of the methods to application programs. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9789048184842

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Bibliographic Details

Title: Implementing Spectral Methods for Partial ...

Publisher: Springer

Binding: Paperback

Book Condition:New

Book Type: Paperback

About this title


This book explains how to solve partial differential equations numerically using single and multidomain spectral methods. It shows how only a few fundamental algorithms form the building blocks of any spectral code, even for problems with complex geometries.

From the Back Cover:

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.

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