Model Order Reduction.

Model Order Reduction. 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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Bibliographic Details
Other Authors: Alfio, Quarteroni (Contributor), Andrea, Manzoni (Contributor), 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), Michael, Hinze (Contributor), Pierre, Ladevèze (Contributor), Quarteroni, Alfio (Editor), Rozza, Gianluigi (Editor), Schilders, Wil (Editor), Sebastian, Grimberg (Contributor), Silveira, Luís Miguel (Editor), Stefan, Volkwein (Contributor), Steven L., Brunton (Contributor), Yvon, Maday (Contributor)
Format: Electronic eBook
Language:English
Published: Berlin ; Boston : De Gruyter, [2020]
Subjects:
Mathematical models.
Mathematical models > Evaluation.
Differential equations, Partial.
Engineering mathematics.
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