Generalized Riemann Problems in Computational Fluid Dynamics: 11 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 11) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

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Bibliographic Details

Title: Generalized Riemann Problems in Computational Fluid Dynamics: 11 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 11)
Publisher: Cambridge University Press
Publication Date: 2003
Language: English
ISBN 10: 0521772966
ISBN 13: 9780521772969
Binding: Hardcover
Condition: Very Good

About this title

Synopsis

The primary goal of numerical simulation of compressible, inviscid time-dependent flow is to represent the time evolution of complex flow patterns. Developed by Matania Ben-Artzi and Joseph Falcovitz, the Generalized Riemann Problem (GRP) algorithm comprises some of the most commonly used numerical schemes of this process. This monograph presents the GRP methodology ranging from underlying mathematical principles through basic scheme analysis and scheme extensions. The book is intended for researchers and graduate students of applied mathematics, science and engineering.

Book Description

The primary goal of numerical simulation of compressible, inviscid time-dependent flow is to represent the time evolution of complex flow patterns. The Generalized Riemann Problem (GRP) algorithm, developed by the authors, comprises some of the most commonly used numerical schemes of this process. This monograph presents the GRP methodology starting with the underlying mathematical principles through basic scheme analysis and scheme extensions. Examples illustrate the range of the algorithm's applications. Background material makes the book accessible to both researchers and graduate students of applied mathematics, science and engineering.

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