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Domain Decomposition Methods in Science and Engineering XXV / edited by Ronald Haynes, Scott MacLachlan, Xiao-Chuan Cai, Laurence Halpern, Hyea Hyun Kim, Axel Klawonn, Olof Widlund

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Computational Science and Engineering ; 138Publisher: Cham : Springer International Publishing, 2020Publisher: Cham : Imprint: Springer, 2020Edition: 1st ed. 2020Description: 1 Online-Ressource(XXVI, 508 p.)ISBN:
  • 9783030567507
Subject(s): Genre/Form: Additional physical formats: 9783030567491 | 9783030567514 | 9783030567521 | Erscheint auch als: 9783030567491 Druck-Ausgabe | Erscheint auch als: 9783030567514 Druck-Ausgabe | Erscheint auch als: 9783030567521 Druck-Ausgabe | Erscheint auch als: Domain decomposition methods in science and engineering XXV. Druck-Ausgabe Cham, Switzerland : Springer Nature, 2020. xxvi, 498 SeitenDDC classification:
  • 518 23
DOI: DOI: 10.1007/978-3-030-56750-7Online resources: Summary: Part I Plenary Talks (PT) -- Part II Talks in Minisymposia (MT) -- Part III Contributed Talks and Posters (CT).Summary: These are the proceedings of the 25th International Conference on Domain Decomposition Methods in Science and Engineering, which was held in St. John's, Newfoundland, Canada in July 2018. 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 2018.PPN: PPN: 173752080XPackage identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SMA | ZDB-2-SXMS
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