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Gradient discretisation method

In numerical mathematics, the gradient discretisation method (GDM) is a framework which contains classical and recent numerical schemes for diffusion problems of various kinds: linear or non-linear, steady-state or time-dependent. The schemes may be conforming or non-conforming, and may rely on very general polygonal or polyhedral meshes (or may even be…

Review of some numerical methods which are GDM, The example of a linear diffusion problem & Overview

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The example of a linear diffusion problem

Review of some numerical methods which are GDM

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Gradient discretisation method

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Gradient discretisation method

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related to External links · 6
Gradient discretisation method → Cindy Guichard, Jérôme Droniou, Raphaèle Herbin, Robert Eymard, The Gradient Discretisation Method, Thierry Gallouët

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gdm displaystyle problems properties method core omega coercivity finite constant reconstruction linear convergence non-linear gradient case framework piecewise defined discrete

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SubjectPredicateObjectConfidenceSrc
nonlinear diffusioninstance ofFor nonlinear problems0.80text
degenerate parabolic problems...instance ofFor nonlinear problems0.80text
we add in the next section two other core properties which may be requiredinstance ofFor nonlinear problems0.80text
Gradient discretisation methodrelated to External linksThe Gradient Discretisation Method0.60section
Gradient discretisation methodrelated to External linksJérôme Droniou0.60section
Gradient discretisation methodrelated to External linksRobert Eymard0.60section
Gradient discretisation methodrelated to External linksThierry Gallouët0.60section
Gradient discretisation methodrelated to External linksCindy Guichard0.60section
Gradient discretisation methodrelated to External linksRaphaèle Herbin0.60section

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