The Gradient Discretisation Method
| By: | Jérôme Droniou; Robert Eymard; Thierry Gallouët; Cindy Guichard; Raphaèle Herbin |
| Publisher: | Springer Nature |
| Print ISBN: | 9783319790411 |
| eText ISBN: | 9783319790428 |
| Edition: | 0 |
| Copyright: | 2018 |
| Format: | Reflowable |
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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.