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  • Nombre de pages497
  • PrésentationBroché
  • FormatGrand Format
  • 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.
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.