Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36686
Title: Error Estimates for the Gradient Discretisation Method on Degenerate Parabolic Equations of Porous Medium Type
Authors: Cancès, Clément
Droniou, Jérôme
Guichard, Cindy
Manzini, Gianmarco
BASTIDAS OLIVARES, Manuela 
POP, Sorin 
Issue Date: 2021
Publisher: Springer
Source: Di Pietro, Daniele; Formaggia , Luca; Masson, Roland (Ed.). Polyhedral Methods in Geosciences, Springer, p. 37 -72
Series/Report: SEMA SIMAI Springer Series
Series/Report no.: 27
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 well-known 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.
Keywords: 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
Document URI: http://hdl.handle.net/1942/36686
ISBN: 9783030693626
9783030693633
DOI: 10.1007/978-3-030-69363-3_2
Category: B2
Type: Book Section
Appears in Collections:Research publications

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