High Order Nonlinear Numerical Schemes for Evolutionary PDEs

Proceedings of the European Workshop HONOM 2013, Bordeaux, France, March 18-22, 2013

Nonfiction, Science & Nature, Mathematics, Differential Equations, Applied
Cover of the book High Order Nonlinear Numerical Schemes for Evolutionary PDEs by , Springer International Publishing
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Author: ISBN: 9783319054551
Publisher: Springer International Publishing Publication: May 19, 2014
Imprint: Springer Language: English
Author:
ISBN: 9783319054551
Publisher: Springer International Publishing
Publication: May 19, 2014
Imprint: Springer
Language: English

This book collects papers presented during the European Workshop on High Order Nonlinear Numerical Methods for Evolutionary PDEs (HONOM 2013) that was held at INRIA Bordeaux Sud-Ouest, Talence, France in March, 2013. The central topic is high order methods for compressible fluid dynamics. In the workshop, and in this proceedings, greater emphasis is placed on the numerical than the theoretical aspects of this scientific field.

The range of topics is broad, extending through algorithm design, accuracy, large scale computing, complex geometries, discontinuous Galerkin, finite element methods, Lagrangian hydrodynamics, finite difference methods and applications and uncertainty quantification. These techniques find practical applications in such fields as fluid mechanics, magnetohydrodynamics, nonlinear solid mechanics, and others for which genuinely nonlinear methods are needed.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book collects papers presented during the European Workshop on High Order Nonlinear Numerical Methods for Evolutionary PDEs (HONOM 2013) that was held at INRIA Bordeaux Sud-Ouest, Talence, France in March, 2013. The central topic is high order methods for compressible fluid dynamics. In the workshop, and in this proceedings, greater emphasis is placed on the numerical than the theoretical aspects of this scientific field.

The range of topics is broad, extending through algorithm design, accuracy, large scale computing, complex geometries, discontinuous Galerkin, finite element methods, Lagrangian hydrodynamics, finite difference methods and applications and uncertainty quantification. These techniques find practical applications in such fields as fluid mechanics, magnetohydrodynamics, nonlinear solid mechanics, and others for which genuinely nonlinear methods are needed.

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