The gradient discretisation method (GDM) is a generic framework for the spatial discretisation of partial differential equations. The goal of this contribution is to establish an error estimate for a class of degenerate parabolic problems, obtained under very mild regularity assumptions on the exact solution. Our study covers wellknown models like the porous medium equation and the fast diffusion equations, as well as the strongly degenerate Stefan problem. Several schemes are then compared in a last section devoted to numerical results.

Error estimates for the gradient discretisation method on degenerate parabolic equations of porous medium type

G Manzini;
2021

Abstract

The gradient discretisation method (GDM) is a generic framework for the spatial discretisation of partial differential equations. The goal of this contribution is to establish an error estimate for a class of degenerate parabolic problems, obtained under very mild regularity assumptions on the exact solution. Our study covers wellknown models like the porous medium equation and the fast diffusion equations, as well as the strongly degenerate Stefan problem. Several schemes are then compared in a last section devoted to numerical results.
2021
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -
978-3-030-69362-6
Gradient discretisation method
Porous medium equation
Slow diffusion
Fast diffusion
Error estimates
Numerical tests
Hybrid mimetic mixed method
Virtual element method
Vertex approximate gradient method
Discontinuous Galerkin method
Polytopal methods
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Descrizione: Error Estimates for the Gradient Discretisation Method on Degenerate Parabolic Equations of Porous Medium Type
Tipologia: Versione Editoriale (PDF)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/457570
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