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Domain Decomposition Methods in Science and Engineering XXVII [[electronic resource] /] / edited by Zdeněk Dostál, Tomáš Kozubek, Axel Klawonn, Ulrich Langer, Luca F. Pavarino, Jakub Šístek, Olof B. Widlund



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Autore: Dostál Zdeněk Visualizza persona
Titolo: Domain Decomposition Methods in Science and Engineering XXVII [[electronic resource] /] / edited by Zdeněk Dostál, Tomáš Kozubek, Axel Klawonn, Ulrich Langer, Luca F. Pavarino, Jakub Šístek, Olof B. Widlund Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (546 pages)
Disciplina: 003.3
Soggetto topico: Mathematics - Data processing
Numerical analysis
Mathematical models
Computational Science and Engineering
Computational Mathematics and Numerical Analysis
Numerical Analysis
Mathematical Modeling and Industrial Mathematics
Altri autori: KozubekTomás  
KlawonnAxel  
LangerUlrich  
PavarinoLuca F  
SístekJakub  
WidlundOlof B  
Nota di contenuto: Part I Plenary Talks (PT) -- Part II Talks in Minisymposia (MT) -- Part III Contributed Talks and Posters (CT).
Sommario/riassunto: 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.
Titolo autorizzato: Domain Decomposition Methods in Science and Engineering XXVII  Visualizza cluster
ISBN: 3-031-50769-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910805569203321
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Serie: Lecture Notes in Computational Science and Engineering, . 2197-7100 ; ; 149