Model Order Reduction Volume 2, Snapshot-Based Methods and Algorithms Volume 2, Snapshot-Based Methods and Algorithms /

An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This second volume focuses on app...

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Detalles Bibliográficos
Otros Autores: Benner, Peter (Editor ), Alfio, Quarteroni, contributor (contributor), Andrea, Manzoni, contributor (editor), Andreas, Buhr, contributor, Anthony T., Patera, contributor, Benner, Peter, editor, Carmen, Gräßle, contributor, Charbel, Farhat, contributor, Francesco, Ballarin, contributor, Francisco, Chinesta, contributor, Gianluigi, Rozza, contributor, Giovanni, Stabile, contributor, Grivet-Talocia, Stefano, editor, J. Nathan, Kutz, contributor, Kathrin, Smetana, contributor, Laura, Iapichino, contributor, Marco, Tezzele, contributor, Martin, Hess, contributor, Hinze, Michael, contributor, Pierre, Ladevèze, contributor, Quarteroni, Alfio, editor, Rozza, Gianluigi, editor, Schilders, W. H. A. (Wil), editor, Sebastian, Grimberg, contributor, Silveira, Luís Miguel, editor, Stefan, Volkwein, contributor, Steven L., Brunton, contributor, Yvon, Maday, contributor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berlin/Boston De Gruyter 2020
Berlin ; Boston : [2020]
Colección:Model Order Reduction ; Volume 2
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009429259006719
Descripción
Sumario:An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This second volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.
Descripción Física:1 online resource (VIII, 348 p.)
ISBN:9783110671490