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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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Xehetasun bibliografikoak
Beste egile batzuk: Benner, Peter (Argitaratzailea), Schilders, Wil (Argitaratzailea), Grivet-Talocia, Stefano (Argitaratzailea), Quarteroni, Alfio (Argitaratzailea), Rozza, Gianluigi (Argitaratzailea), Miguel Silveira, Luís (Argitaratzailea)
Formatua: Baliabide elektronikoa Liburu kapitulua
Hizkuntza:ingelesa
Argitaratua: Berlin/Boston De Gruyter 2020
Saila:Model Order Reduction Volume 2
Gaiak:
Numerical analysis
Applied mathematics
Mathematical physics
Production engineering
PROM
Sarrera elektronikoa:OAPEN Library: download the publication
OAPEN Library: description of the publication
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Deskribapena
Gaia: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.
Deskribapen fisikoa:1 electronic resource (348 p.)
ISBN:9783110671490
Sartu:Open Access

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