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Domain Decomposition Methods in Science and Engineering XXVII de Zden¿k Dostál

Domain Decomposition Methods in Science and Engineering XXVII: Lecture Notes in Computational Science and Engineering, cartea 149

Editat de Zden¿k Dostál, Tomá¿ Kozubek, Axel Klawonn, Ulrich Langer, Luca F. Pavarino, Jakub ¿Ístek, Olof B. Widlund
en Limba Engleză Hardback – 23 ian 2024
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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Specificații

ISBN-13: 9783031507687
ISBN-10: 3031507681
Pagini: 556
Ilustrații: XXV, 528 p. 192 illus., 160 illus. in color.
Dimensiuni: 160 x 241 x 34 mm
Greutate: 1.04 kg
Ediția:1st ed. 2024
Editura: Springer
Colecția Lecture Notes in Computational Science and Engineering
Seria Lecture Notes in Computational Science and Engineering

Locul publicării:Cham, Switzerland

Cuprins

Part I Plenary Talks (PT).- Part II Talks in Minisymposia (MT).- Part III Contributed Talks and Posters (CT).

Textul de pe ultima copertă

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.