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Spectral Methods - Evolution to Complex Geometries and Applications to Fluid Dynamics (Paperback, 2007 ed.) Loot Price: R2,744
Discovery Miles 27 440
Spectral Methods - Evolution to Complex Geometries and Applications to Fluid Dynamics (Paperback, 2007 ed.): Claudio Canuto,...

Spectral Methods - Evolution to Complex Geometries and Applications to Fluid Dynamics (Paperback, 2007 ed.)

Claudio Canuto, M.Yousuff Hussaini, Alfio Quarteroni, Thomas A Zang

Series: Scientific Computation

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Loot Price R2,744 Discovery Miles 27 440 | Repayment Terms: R257 pm x 12*

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Following up the seminal Spectral Methods in Fluid Dynamics, Spectral Methods: Evolution to Complex Geometries and Applications to Fluid Dynamics contains an extensive survey of the essential algorithmic and theoretical aspects of spectral methods for complex geometries. These types of spectral methods were only just emerging at the time the earlier book was published. The discussion of spectral algorithms for linear and nonlinear fluid dynamics stability analyses is greatly expanded. The chapter on spectral algorithms for incompressible flow focuses on algorithms that have proven most useful in practice, has much greater coverage of algorithms for two or more non-periodic directions, and shows how to treat outflow boundaries. Material on spectral methods for compressible flow emphasizes boundary conditions for hyperbolic systems, algorithms for simulation of homogeneous turbulence, and improved methods for shock fitting. This book is a companion to Spectral Methods: Fundamentals in Single Domains.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Scientific Computation
Release date: November 2014
First published: 2007
Authors: Claudio Canuto • M.Yousuff Hussaini • Alfio Quarteroni • Thomas A Zang
Dimensions: 235 x 155 x 32mm (L x W x T)
Format: Paperback
Pages: 596
Edition: 2007 ed.
ISBN-13: 978-3-642-43395-5
Categories: Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Functional analysis
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LSN: 3-642-43395-2
Barcode: 9783642433955

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