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Hybrid algorithms, which combine black-box machine learning methods with experience from traditional numerical methods and domain expertise from diverse application areas, are progressively gaining importance in scientific machine learning and various industrial domains, especially in computational science and engineering.
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Series Title: Lecture Notes in Computational Science and Engineering
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TR series, Center for Data and Simulation Science, University of Cologne, Germany, Vol. 2022-3. https://kups.ub.uni-koeln.de/64122/ . Accepted for publication in the proceedings of the International Conference on Domain Decomposition Methods 27, Springer LNCSE, November 2022
A. Klawonn, M. Lanser, and J. Weber · 2022
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