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Elements of Numerical Methods for Compressible Flows

Elements of Numerical Methods for Compressible Flows

Elements of Numerical Methods for Compressible Flows

Doyle D. Knight, Rutgers University, New Jersey
August 2012
Paperback
9781107407022

    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.

    • The focus is on the unsteady one-dimensional Euler equations which form the basis for numerical algorithms in compressible fluid mechanics
    • Contains numerous end-of-chapter exercises
    • Balanced presentation of mathematical and physical techniques

    Reviews & endorsements

    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 Dynamics

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    Product details

    August 2012
    Paperback
    9781107407022
    266 pages
    254 × 178 × 14 mm
    0.47kg
    Available

    Table of Contents

    • 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.