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An Adaptive GDSW Coarse Space for Two-Level Overlapping Schwarz Methods in Two Dimensions

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Domain Decomposition Methods in Science and Engineering XXIV (DD 2017)

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Abstract

We propose robust coarse spaces for two-level overlapping Schwarz preconditioners, which are extensions of the energy minimizing coarse space known as GDSW (Generalized Dryja, Smith, Widlund). The resulting two-level methods with adaptive coarse spaces are robust for second order elliptic problems in two dimensions, even in presence of a highly heterogeneous coefficient function, and reduce to the standard GDSW algorithm if no additional coarse basis functions are used.

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Correspondence to Alexander Heinlein , Axel Klawonn , Jascha Knepper or Oliver Rheinbach .

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Heinlein, A., Klawonn, A., Knepper, J., Rheinbach, O. (2018). An Adaptive GDSW Coarse Space for Two-Level Overlapping Schwarz Methods in Two Dimensions. In: Bjørstad, P., et al. Domain Decomposition Methods in Science and Engineering XXIV . DD 2017. Lecture Notes in Computational Science and Engineering, vol 125. Springer, Cham. https://doi.org/10.1007/978-3-319-93873-8_35

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