An AMG saddle point preconditioner with application to mixed Poisson problems on adaptive quad/cube meshes

Fuente: arXiv
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Auteurs principaux: Burstedde, Carsten, Fonseca, Jose A., Metsch, Bram
Format: Preprint
Publié: 2019
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author Burstedde, Carsten
Fonseca, Jose A.
Metsch, Bram
author_facet Burstedde, Carsten
Fonseca, Jose A.
Metsch, Bram
contents We investigate various block preconditioners for a low-order Raviart-Thomas discretization of the mixed Poisson problem on adaptive quadrilateral meshes. In addition to standard diagonal and Schur complement preconditioners, we present a dedicated AMG solver for saddle point problems (SPAMG). A key element is a stabilized prolongation operator that couples the flux and scalar components. Our numerical experiments in 2D and 3D show that the SPAMG preconditioner displays nearly mesh-independent iteration counts for adaptive meshes and heterogeneous coefficients.
format Preprint
id arxiv_https___arxiv_org_abs_1901_05830
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle An AMG saddle point preconditioner with application to mixed Poisson problems on adaptive quad/cube meshes
Burstedde, Carsten
Fonseca, Jose A.
Metsch, Bram
Numerical Analysis
65N30, 65F08, 65N55
We investigate various block preconditioners for a low-order Raviart-Thomas discretization of the mixed Poisson problem on adaptive quadrilateral meshes. In addition to standard diagonal and Schur complement preconditioners, we present a dedicated AMG solver for saddle point problems (SPAMG). A key element is a stabilized prolongation operator that couples the flux and scalar components. Our numerical experiments in 2D and 3D show that the SPAMG preconditioner displays nearly mesh-independent iteration counts for adaptive meshes and heterogeneous coefficients.
title An AMG saddle point preconditioner with application to mixed Poisson problems on adaptive quad/cube meshes
topic Numerical Analysis
65N30, 65F08, 65N55
url https://arxiv.org/abs/1901.05830