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A-posteriori error analysis to the exterior Stokes problem

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Autor dc.contributor.author Barrientos M.A.
Autor dc.contributor.author Maischak M.
Fecha Ingreso dc.date.accessioned 2014-04-05T00:12:52Z
Fecha Disponible dc.date.available 2014-04-05T00:12:52Z
Fecha en Repositorio dc.date.issued 2014-04-04
dc.identifier 10.1016/j.apnum.2012.09.003
dc.description.abstract We analyze the coupling of the dual-mixed finite element method with the boundary integral equation method. The result is a new mixed scheme for the exterior Stokes problem. The approach is based on the introduction of both the flux and the strain tensor of the velocity as further unknowns, which yields a two-fold saddle point problem as the resulting variational formulation. We show existence and uniqueness of the solution for the continuous and discrete formulations and provide the associated error analysis. In particular, the corresponding Galerkin scheme is defined by using piecewise constant functions and Raviart-Thomas spaces of lowest order. Most of our analysis makes use of an extension of the classical Babuška-Brezzi theory to a class of saddle-point problems. Also, we develop a-posteriori error estimates (of Bank-Weiser type) and propose a reliable adaptive algorithm to compute the finite elements solutions. Finally, several numerical results are given. © 2012 IMACS. en_US
dc.source Applied Numerical Mathematics
Link Descarga dc.source.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-84868694900&partnerID=40&md5=1e3bcaaedf577d264d9456dbce0300d3
Title dc.title A-posteriori error analysis to the exterior Stokes problem en_US
Tipo dc.type Article
dc.description.keywords A-posteriori error estimates; Boundary integral equation method; Existence and uniqueness; Finite Element; Galerkin scheme; Mixed schemes; Numerical results; Piece-wise-constant functions; Raviart-Thomas; Saddle point problems; Stokes problem; Strain tensor; Variational formulation; Adaptive algorithms; Boundary integral equations; Finite element method; Galerkin methods; Error analysis en_US


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