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Jérôme Droniou

Researcher at Monash University

Publications -  172
Citations -  4034

Jérôme Droniou is an academic researcher from Monash University. The author has contributed to research in topics: Finite volume method & Discretization. The author has an hindex of 32, co-authored 162 publications receiving 3472 citations. Previous affiliations of Jérôme Droniou include University of Montpellier & University of Provence.

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A unified approach to mimetic finite difference, hybrid finite volume and mixed finite volume methods

TL;DR: It is shown that for isotropic operators, on particular meshes such as triangular meshes with acute angles, the unified method boils down to the well-known efficient two-point flux Finite Volume scheme.
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Finite volume schemes for diffusion equations: introduction to and review of modern methods

TL;DR: In this paper, the authors present finite volume methods for diffusion equations on generic meshes, that received important coverage in the last decade or so, focusing on two important properties of schemes (discrete versions of well-known properties of the continuous equation): coercivity and minimum-maximum principles.
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Fractal first-order partial differential equations

TL;DR: In this article, the authors consider semi-linear partial differential equations involving a particular pseudo-differential operator and show the convergence of the solution towards the entropy solution of the pure conservation law and the non-local Hamilton-Jacobi equation.
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A mixed finite volume scheme for anisotropic diffusion problems on any grid

TL;DR: In this paper, a finite volume scheme for anisotropic heterogeneous diffusion problems on unstructured irregular grids is presented, which simultaneously gives an approximation of the solution and its gradient.
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Gradient schemes: a generic framework for the discretisation of linear, nonlinear and nonlocal elliptic and parabolic equations

TL;DR: Four properties, namely coercivity, consistency, limit-conformity and compactness, are shown to be sufficient to prove the convergence of gradient schemes for linear and nonlinear elliptic and parabolic problems, including the case of nonlocal operators arising for example in image processing.