This paper is concerned with the design, analysis and implementation of preconditioning concepts for spectral discontinuous Galerkin discretizations of elliptic boundary value problems. While presently known techniques realize a growth of the condition numbers that is logarithmic in polynomial degrees when all degrees are equal and quadratic otherwise, our main objective is to realize full robustness with respect to arbitrarily large locally varying polynomial degrees, i.e., under mild grading constraints condition numbers stay uniformly bounded with respect to the mesh size and variable degrees. The conceptual foundation of the envisaged preconditioners is the auxiliary space method. The main conceptual ingredients that will be shown in this framework to yield ‘optimal’ preconditioners in the above sense are Legendre–Gauss–Lobatto grids in connection with certain associated anisotropic nested dyadic grids as well as specially adapted wavelet preconditioners for the resulting low-order auxiliary problems. Moreover, the preconditioners have a modular form that facilitates somewhat simplified partial realizations. One of the components can, for instance, be conveniently combined with domain decomposition, at the expense though of a logarithmic growth of condition numbers. Our analysis is complemented by quantitative experimental studies of the main components.

Multilevel preconditioning of discontinuous Galerkin spectral element methods. Part I: geometrically conforming meshes / Brix, Kolja; Campos Pinto, Martin; Canuto, Claudio; Dahmen, Wolfgang. - In: IMA JOURNAL OF NUMERICAL ANALYSIS. - ISSN 0272-4979. - STAMPA. - 35:4(2015), pp. 1487-1532. [10.1093/imanum/dru053]

Multilevel preconditioning of discontinuous Galerkin spectral element methods. Part I: geometrically conforming meshes

CANUTO, CLAUDIO;
2015

Abstract

This paper is concerned with the design, analysis and implementation of preconditioning concepts for spectral discontinuous Galerkin discretizations of elliptic boundary value problems. While presently known techniques realize a growth of the condition numbers that is logarithmic in polynomial degrees when all degrees are equal and quadratic otherwise, our main objective is to realize full robustness with respect to arbitrarily large locally varying polynomial degrees, i.e., under mild grading constraints condition numbers stay uniformly bounded with respect to the mesh size and variable degrees. The conceptual foundation of the envisaged preconditioners is the auxiliary space method. The main conceptual ingredients that will be shown in this framework to yield ‘optimal’ preconditioners in the above sense are Legendre–Gauss–Lobatto grids in connection with certain associated anisotropic nested dyadic grids as well as specially adapted wavelet preconditioners for the resulting low-order auxiliary problems. Moreover, the preconditioners have a modular form that facilitates somewhat simplified partial realizations. One of the components can, for instance, be conveniently combined with domain decomposition, at the expense though of a logarithmic growth of condition numbers. Our analysis is complemented by quantitative experimental studies of the main components.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2626540
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