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Preconditioning of Iterative Eigenvalue Problem Solvers in Adaptive FETI-DP

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

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Abstract

Adaptive FETI-DP and BDDC methods are robust methods that can be used for highly heterogeneous problems when standard approaches fail. In these approaches, local generalized eigenvalue problems are solved approximately, and the eigenvectors are used to enhance the coarse problem. Here, a few iterations of an approximate eigensolver are usually sufficient. Different preconditioning options for the iterative LOBPCG eigenvalue problem solver are considered. Numerical results are presented for linear elasticity problems with heterogeneous coefficients.

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Correspondence to Axel Klawonn , Martin Kühn or Oliver Rheinbach .

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Klawonn, A., Kühn, M., Rheinbach, O. (2018). Preconditioning of Iterative Eigenvalue Problem Solvers in Adaptive FETI-DP. 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_39

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