2018
DOI: 10.1137/16m1105517
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A Gradient Discretization Method to Analyze Numerical Schemes for Nonlinear Variational Inequalities, Application to the Seepage Problem

Abstract: Using the gradient discretisation method (GDM), we provide a complete and unified numerical analysis for non-linear variational inequalities (VIs) based on Leray-Lions operators and subject to non-homogeneous Dirichlet and Signorini boundary conditions. This analysis is proved to be easily extended to the obstacle and Bulkley models, which can be formulated as non-linear VIs. It also enables us to establish convergence results for many conforming and nonconforming numerical schemes included in the GDM, and not… Show more

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Cited by 7 publications
(4 citation statements)
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“…We refer the reader to Refs. [7][8][9][10][11][12][13][14] and the monograph [15] for a complete presentation. The main purpose of this paper is to introduce the GDM to a system of reaction-diffusion equations subject to non-homogeneous Dirichlet boundary conditions.…”
Section: The Chemical Reactions Of Biochemical Systemsmentioning
confidence: 99%
“…We refer the reader to Refs. [7][8][9][10][11][12][13][14] and the monograph [15] for a complete presentation. The main purpose of this paper is to introduce the GDM to a system of reaction-diffusion equations subject to non-homogeneous Dirichlet boundary conditions.…”
Section: The Chemical Reactions Of Biochemical Systemsmentioning
confidence: 99%
“…We begin with defining the discrete space and operators. These discrete elements are slightly different from those defined in [2,3], in particular, χ D , I D , and J D are introduced to deal with the nonconstant barrier χ and the initial solutions A ini and B ini . (1) The discrete set X D,0 is a finite-dimensional vector space over R, taking into account the homogenous Dirichlet boundary condition (1.1e).…”
Section: Discrete Settingmentioning
confidence: 99%
“…The GDM is a generic framework to unify the numerical analysis for diffusion partial differential equations and their corresponding problems. Due to the variety of choice of the discrete elements in the GDM, a series of conforming and nonconforming numerical schemes can be included in the GDM, see [2,3,6,[9][10][11][12][13] for more details.…”
Section: Introductionmentioning
confidence: 99%
“…Numerical analysis for the p-laplacian and more general Leray-Lions problems is well developed (see in particular [18,19,27] for the finite element analysis, [4,[9][10][11]34] and references therein for different finite volume schemes, [12] for mimetic schemes, [3,36] for gradient schemes (encompassing many of the previous ones), [31] for a recent hybrid high-order strategy. The analysis highlights the importance of strongly consistent gradient approximation and exploits in the essential way the L p − L p duality for proving convergence of such gradient approximations via the Minty-Browder argument [24,46,47].…”
Section: Introductionmentioning
confidence: 99%