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Numerical Approximation of Hyperbolic Systems of Conservation Laws (Hardcover, 2nd ed. 2021) Loot Price: R5,214
Discovery Miles 52 140
Numerical Approximation of Hyperbolic Systems of Conservation Laws (Hardcover, 2nd ed. 2021): Edwige Godlewski, Pierre-Arnaud...

Numerical Approximation of Hyperbolic Systems of Conservation Laws (Hardcover, 2nd ed. 2021)

Edwige Godlewski, Pierre-Arnaud Raviart

Series: Applied Mathematical Sciences, 118

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Loot Price R5,214 Discovery Miles 52 140 | Repayment Terms: R489 pm x 12*

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This monograph is devoted to the theory and approximation by finite volume methods of nonlinear hyperbolic systems of conservation laws in one or two space variables. It follows directly a previous publication on hyperbolic systems of conservation laws by the same authors. Since the earlier work concentrated on the mathematical theory of multidimensional scalar conservation laws, this book will focus on systems and the theoretical aspects which are needed in the applications, such as the solution of the Riemann problem and further insights into more sophisticated problems, with special attention to the system of gas dynamics. This new edition includes more examples such as MHD and shallow water, with an insight on multiphase flows. Additionally, the text includes source terms and well-balanced/asymptotic preserving schemes, introducing relaxation schemes and addressing problems related to resonance and discontinuous fluxes while adding details on the low Mach number situation.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Applied Mathematical Sciences, 118
Release date: September 2021
First published: 2021
Authors: Edwige Godlewski • Pierre-Arnaud Raviart
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 840
Edition: 2nd ed. 2021
ISBN-13: 978-1-07-161342-9
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Physics > General
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations
Books > Science & Mathematics > Mathematics > Applied mathematics > General
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LSN: 1-07-161342-1
Barcode: 9781071613429

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