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Model Order Reduction Volume 2: Snapshot-Based Methods and Algorithms

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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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Detaylı Bibliyografya
Diğer Yazarlar: Benner, Peter (Editör), Schilders, Wil (Editör), Grivet-Talocia, Stefano (Editör), Quarteroni, Alfio (Editör), Rozza, Gianluigi (Editör), Miguel Silveira, Luís (Editör)
Materyal Türü: Elektronik Kitap Bölümü
Dil:İngilizce
Baskı/Yayın Bilgisi: Berlin/Boston De Gruyter 2020
Seri Bilgileri:Model Order Reduction
Konular:
Numerical analysis
Applied mathematics
Mathematical physics
Production engineering
PROM
Online Erişim:DOAB: download the publication
DOAB: description of the publication
Etiketler: Etiketle
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Diğer Bilgiler
Özet: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.
Fiziksel Özellikler:1 electronic resource (348 p.)
ISBN:9783110671490
Erişim:Open Access

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