Abstract
Domain Decomposition Methods are the most widely used methods for solving large linear systems that arise from the discretization of partial differential equations.
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Chaouqui, F., Gander, M.J., Santugini-Repiquet, K. (2018). A Coarse Space to Remove the Logarithmic Dependency in Neumann–Neumann Methods. 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_13
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