2010
DOI: 10.1137/080731219
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The Discrete Duality Finite Volume Method for Convection-diffusion Problems

Abstract: In this paper we extend the Discrete Duality Finite Volume (DDFV) formulation to the steady convection-diffusion equation. The discrete gradients defined in DDFV are used to define a cellbased gradient for the control volumes of both the primal and dual meshes, in order to achieve a higher-order accurate numerical flux for the convection term. A priori analysis is carried out to show convergence of the approximation and a global first-order convergence rate is derived. The theoretical results are confirmed by … Show more

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Cited by 55 publications
(52 citation statements)
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“…The second step consists in reformulating the two quadrature rules (20) and (21) as a vector-matrix-vector multiplication. To this purpose, we define the m E Â m E matrix M E such that…”
Section: Linear Algebraic Formulationmentioning
confidence: 99%
See 1 more Smart Citation
“…The second step consists in reformulating the two quadrature rules (20) and (21) as a vector-matrix-vector multiplication. To this purpose, we define the m E Â m E matrix M E such that…”
Section: Linear Algebraic Formulationmentioning
confidence: 99%
“…(20) into the sum of the polyhedral contributions and apply the quadrature formula given by combining (37) and (38):…”
Section: Local Construction Of Matrices M E and M Fmentioning
confidence: 99%
“…Therefore, we introduce the different meshes, the discrete operators and we recall the discrete duality formula. As there is a convection term in (6), we also need to define a discrete convection operator, as in [4] or [10].…”
Section: Contents and Outline Of The Papermentioning
confidence: 99%
“…Let us recall that the principle of the DDFV discretization consists in integrating the system both over a given primal mesh and a dual mesh built from the primal one. Presentation, convergence analysis and numerical tests of DDFV for diffusion, convection-diffusion and Stokes problems are available in [1], [2], [4], [8], [10], [11], [13], [14].…”
Section: Motivationmentioning
confidence: 99%