Fr. 69.00

Efficient Solvers for Incompressible Flow Problems - An Algorithmic and Computational Approach

English · Paperback / Softback

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Description

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The scope ofthis book is to discuss recent numerical and algorithmic tools for the solution of certain flow problems arising in Computational Fluid Dynam ics (CFD). Here, we mainly restrict ourselves to the case ofthe incompressible Navier-Stokes equations, Ut - v~u + U . V'u+ V'p = f , V'·u = o. (1) These basic equations already play an important role in CFD, both for math ematicians as well as for more practical scientists: Physically important facts with "real life" character can be described by them, including also economical aspects in industrial applications. On the other hand, the equations in (1) provide the complete spectrum of numerical problems nowadays concerning the mathematical treatment of partial differential equations. Although this field of research may appear to be a small part only inside of CFD, it was and still is of great interest for mathematicians as well as engineers, physicists, computer scientists and many more: a fact which can be easily checked by counting the numerous publications. Nevertheless, our contribution has some unique characteristics since it contains a few ofthe lat est results for the numerical solution of (complex) flow problems on modern computer platforms. In this book, our particular emphasis lies on the solu tion process ofthe resulting high dimensional discrete systems ofequations which is often neglected in other works. Together with the included CDROM, which contains the 'FEATFLOW 1.

List of contents

1 Motivation for current research.- 2 Derivation of Navier-Stokes solvers.- 3 Other mathematical components.- 4 Numerical comparisons of Navier-Stokes solvers.- 5 Conclusions and outlook.- 6 The enclosed CDROM.

Product details

Authors Stefan Turek
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 22.09.2013
 
EAN 9783642635731
ISBN 978-3-642-63573-1
No. of pages 358
Dimensions 160 mm x 18 mm x 235 mm
Weight 574 g
Illustrations XV, 358 p.
Series Lecture Notes in Computational Science and Engineering
Lecture Notes in Computational Science and Engineering
Subject Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics

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