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Riemann Solvers and Numerical Methods for Fluid Dynamics

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Cover of 'Riemann Solvers and Numerical Methods for Fluid Dynamics'

Table of Contents

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    Book Overview
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    Chapter 1 The Equations of Fluid Dynamics
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    Chapter 2 Notions on Hyperbolic Partial Differential Equations
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    Chapter 3 Some Properties of the Euler Equations
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    Chapter 4 The Riemann Problem for the Euler Equations
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    Chapter 5 Notions on Numerical Methods
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    Chapter 6 The Method of Godunov for Non—linear Systems
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    Chapter 7 Random Choice and Related Methods
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    Chapter 8 Flux Vector Splitting Methods
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    Chapter 9 Approximate—State Riemann Solvers
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    Chapter 10 The HLL and HLLC Riemann Solvers
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    Chapter 11 The Riemann Solver of Roe
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    Chapter 12 The Riemann Solver of Osher
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    Chapter 13 High–Order and TVD Methods for Scalar Equations
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    Chapter 14 High–Order and TVD Schemes for Non–Linear Systems
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    Chapter 15 Splitting Schemes for PDEs with Source Terms
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    Chapter 16 Methods for Multi–Dimensional PDEs
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    Chapter 17 Multidimensional Test Problems
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    Chapter 18 FORCE Fluxes in Multiple Space Dimensions
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    Chapter 19 The Generalized Riemann Problem
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    Chapter 20 The ADER Approach
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    Chapter 21 Concluding Remarks
Attention for Chapter 4: The Riemann Problem for the Euler Equations
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Citations

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Chapter title
The Riemann Problem for the Euler Equations
Chapter number 4
Book title
Riemann Solvers and Numerical Methods for Fluid Dynamics
Published by
Springer, Berlin, Heidelberg, January 2009
DOI 10.1007/b79761_4
Book ISBNs
978-3-54-025202-3, 978-3-54-049834-6
Authors

Eleuterio F. Toro

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 2 4%
Slovakia 1 2%
Unknown 50 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 30%
Researcher 14 26%
Professor > Associate Professor 7 13%
Student > Master 5 9%
Professor 2 4%
Other 6 11%
Unknown 3 6%
Readers by discipline Count As %
Engineering 35 66%
Physics and Astronomy 6 11%
Mathematics 4 8%
Computer Science 2 4%
Earth and Planetary Sciences 1 2%
Other 0 0%
Unknown 5 9%

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