Domain Decomposition Methods in Science and Engineering XXV: 138 (Lecture Notes in Computational Science and Engineering) - Softcover

Softcover

ISBN 10: 3030567524 ISBN 13: 9783030567521

Verlag: Springer, 2021

Inhaltsangabe

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.

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<p></p><p></p><p>These are the proceedings of the 25th International Conference on Domain&nbsp;Decomposition Methods in Science and Engineering, which was held in&nbsp;St. John's, Newfoundland, Canada in July 2018.&nbsp;</p><p>Domain decomposition&nbsp;methods are iterative methods for solving the often very large systems of&nbsp;equations that arise when engineering problems are discretized, frequently using finite elements or other modern techniques. These methods are&nbsp;specifically designed to make effective use of massively parallel, high-performance computing systems.</p><p>The book presents both theoretical and computational advances in this domain, reflecting the state of art in 2018.</p><br><p></p>

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2021
• Sprache: Englisch
• ISBN 10: 3030567524
• ISBN 13: 9783030567521
• Einband: Tapa blanda
• Auflage: 1
• Anzahl der Seiten: 536
• Herausgeber: Haynes Ronald, MacLachlan Scott, Cai Xiao-Chuan
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Deutschland