Journal
SIAM JOURNAL ON SCIENTIFIC COMPUTING
Volume 25, Issue 1, Pages 1-26Publisher
SIAM PUBLICATIONS
DOI: 10.1137/S106482750139892X
Keywords
algebraic multigrid; spectral methods; iterative methods; finite elements
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We introduce spectral element-based algebraic multigrid (rhoAMGe), a new algebraic multigrid method for solving systems of algebraic equations that arise in Ritz-type finite element discretizations of partial differential equations. The method requires access to the element stiffness matrices, which enables accurate approximation of algebraically smooth vectors (i.e., error components that relaxation cannot effectively eliminate). Most other algebraic multigrid methods are based in some manner on predefined concepts of smoothness. Coarse-grid selection and prolongation, for example, are often defined assuming that smooth errors vary slowly in the direction of strong connections (relatively large coefficients in the operator matrix). One aim of rhoAMGe is to broaden the range of problems to which the method can be successfully applied by avoiding any implicit premise about the nature of the smooth error. rhoAMGe uses the spectral decomposition of small collections of element stiffness matrices to determine local representations of algebraically smooth error components. This provides a foundation for generating the coarse level and for de. ning effective interpolation. This paper presents a theoretical foundation for rhoAMGe along with numerical experiments demonstrating its robustness.
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