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|a 9783031507694
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|a Dostál, Zdeněk
|e [editor]
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|a Domain Decomposition Methods in Science and Engineering XXVII
|h Elektronische Ressource
|c edited by Zdeněk Dostál, Tomáš Kozubek, Axel Klawonn, Ulrich Langer, Luca F. Pavarino, Jakub Šístek, Olof B. Widlund
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|a 1st ed. 2024
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|a Cham
|b Springer Nature Switzerland
|c 2024, 2024
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|a XXV, 528 p. 192 illus., 160 illus. in color
|b online resource
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|a Part I Plenary Talks (PT) -- Part II Talks in Minisymposia (MT) -- Part III Contributed Talks and Posters (CT)
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|a Numerical Analysis
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|a Computational Mathematics and Numerical Analysis
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|a Mathematics / Data processing
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|a Computational Science and Engineering
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|a Mathematical Modeling and Industrial Mathematics
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|a Numerical analysis
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|a Mathematical models
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|a Kozubek, Tomáš
|e [editor]
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|a Klawonn, Axel
|e [editor]
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|a Langer, Ulrich
|e [editor]
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Lecture Notes in Computational Science and Engineering
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|a 10.1007/978-3-031-50769-4
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|u https://doi.org/10.1007/978-3-031-50769-4?nosfx=y
|x Verlag
|3 Volltext
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|a 003.3
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|a These are the proceedings of the 27th International Conference on Domain Decomposition Methods in Science and Engineering, which was held in Prague, Czech Republic, in July 2022. Domain decomposition methods are iterative methods for solving the often very large systems of equations that arise when engineering problems are discretized, frequently using finite elements or other modern techniques. These methods are specifically designed to make effective use of massively parallel, high-performance computing systems. The book presents both theoretical and computational advances in this domain, reflecting the state of art in 2022
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