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Implementing Spectral Methods for Partial Differential Equations - Algorithms for Scientists and Engineers (Hardcover, 2009 ed.)
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Implementing Spectral Methods for Partial Differential Equations - Algorithms for Scientists and Engineers (Hardcover, 2009 ed.)
Series: Scientific Computation
Expected to ship within 12 - 17 working days
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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
view-or 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 quadrature-the subjects of
basic numerical methods courses-form 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.
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