The Gradient Discretisation Method

The Gradient Discretisation Method

Jérôme Droniou, Robert Eymard, Thierry Gallouët, Cindy Guichard, Raphaèle Herbin
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This monograph presents the Gradient Discretisation Method (GDM), which is a unified convergence analysis framework for numerical methods for elliptic and parabolic partial differential equations. The results obtained by the GDM cover both stationary and transient models; error estimates are provided for linear (and some non-linear) equations, and convergence is established for a wide range of fully non-linear models (e.g. Leray–Lions equations and degenerate parabolic equations such as the Stefan or Richards models). The GDM applies to a diverse range of methods, both classical (conforming, non-conforming, mixed finite elements, discontinuous Galerkin) and modern (mimetic finite differences, hybrid and mixed finite volume, MPFA-O finite volume), some of which can be built on very general meshes.


カテゴリー:
年:
2018
版:
1st ed.
出版社:
Springer International Publishing
言語:
english
ISBN 10:
3319790420
ISBN 13:
9783319790428
シリーズ:
Mathématiques et Applications 82
ファイル:
PDF, 8.26 MB
IPFS:
CID , CID Blake2b
english, 2018
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