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Robust Preconditioners for DG-Discretizations with Arbitrary Polynomial Degrees

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Domain Decomposition Methods in Science and Engineering XXI

Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 98))

Abstract

Discontinuous Galerkin (DG) methods offer an enormous flexibility regarding local grid refinement and variation of polynomial degrees for a variety of different problem classes. With a focus on diffusion problems, we consider DG discretizations for elliptic boundary value problems, in particular the efficient solution of the linear systems of equations that arise from the Symmetric Interior Penalty DG method. We announce a multi-stage preconditioner which produces uniformly bounded condition numbers and aims at supporting the full flexibility of DG methods under mild grading conditions. The constructions and proofs are detailed in an upcoming series of papers by the authors. Our preconditioner is based on the concept of the auxiliary space method and techniques from spectral element methods such as Legendre-Gauß-Lobatto grids. The presentation for the case of geometrically conforming meshes is complemented by numerical studies that shed some light on constants arising in four basic estimates used in the second stage.

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Acknowledgements

We thank for the support by the Seed Funds project funded by the Excellence Initiative of the German federal and state governments and by the DFG project ‘Optimal preconditioners of spectral Discontinuous Galerkin methods for elliptic boundary value problems’ (DA 117/23-1).

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Correspondence to Kolja Brix .

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Brix, K., Canuto, C., Dahmen, W. (2014). Robust Preconditioners for DG-Discretizations with Arbitrary Polynomial Degrees. In: Erhel, J., Gander, M., Halpern, L., Pichot, G., Sassi, T., Widlund, O. (eds) Domain Decomposition Methods in Science and Engineering XXI. Lecture Notes in Computational Science and Engineering, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-319-05789-7_51

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