The Gradient Discretisation Method
Par : , , , ,Formats :
- Nombre de pages497
- FormatGrand Format
- PrésentationBroché
- Poids0.81 kg
- Dimensions15,5 cm × 23,5 cm × 2,7 cm
- ISBN978-3-319-79041-1
- EAN9783319790411
- Date de parution01/01/2018
- CollectionMathématiques & Applications
- ÉditeurSpringer Nature
Résumé
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 nonlinear 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.
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.
