Local Spectra of Adaptive Domain Decomposition Methods

Conference Paper (2020)
Author(s)

A. Heinlein (Center for Data and Simulation Science, University of Cologne)

A. Klawonn (University of Cologne)

Martin J. Kühn (CERFACS)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1007/978-3-030-56750-7_18
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Publication Year
2020
Language
English
Affiliation
External organisation
Pages (from-to)
167-175
ISBN (print)
9783030567491

Abstract

For second order elliptic partial differential equations, such as diffusion or elasticity, with arbitrary and high coefficient jumps, the convergence rate of domain decomposition methods with classical coarse spaces typically deteriorates. One remedy is the use of adaptive coarse spaces, which use eigenfunctions computed from local generalized eigenvalue problems to enrich the standard coarse space; see, e.g., [19, 6, 5, 4, 22, 23, 3, 16, 17, 14, 7, 8, 24, 1, 20, 2, 13, 21, 10, 9, 11]. This typically results in a condition number estimate of the form

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