
Elements of Numerical Methods for Compressible Flows
Doyle D. Knight(Author)
Cambridge University Press
Published on 30. August 2012
Book
Paperback/Softback
266 pages
978-1-107-40702-2 (ISBN)
Description
The purpose of this book is to present the basic elements of numerical methods for compressible flows. It is appropriate for advanced undergraduate and graduate students and specialists working in high speed flows. The focus is on the unsteady one-dimensional Euler equations which form the basis for numerical algorithms in compressible fluid mechanics. The book is restricted to the basic concepts of finite volume methods, and even in this regard is not intended to be exhaustive in its treatment. Although the practical applications of the one-dimensional Euler equations are limited, virtually all numerical algorithms for inviscid compressible flow in two and three dimensions owe their origin to techniques developed in the context of the one-dimensional Euler equations. The author believes it is therefore essential to understand the development and implementation of these algorithms in their original one-dimensional context. The text is supplemented by numerous end-of-chapter exercises.
Reviews / Votes
Review of the hardback: '... this is a clear and concise book on key elements of an important set of numerical methods for simulating flows with shocks. I am very glad to have it on my bookshelf.' Theoretical and Computational Fluid DynamicsMore details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Product notice
Paperback (trade)
Dimensions
Height: 254 mm
Width: 178 mm
Thickness: 14 mm
Weight
507 gr
ISBN-13
978-1-107-40702-2 (9781107407022)
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Schweitzer Classification
Other editions
Additional editions

Doyle D. Knight
Elements of Numerical Methods for Compressible Flows
Book
08/2006
Cambridge University Press
€120.00
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Person
Content
1. Governing equations; 2. Mathematical nature of 1-D Euler equations; 3. 1-D Euler equations; 4. Reconstruction; 5. Godunov methods; 6. Flux vector splitting methods; 7. Temporal quadrature; 8. TVD methods; Index; Notes; Bibliography.