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

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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Bibliographic Details
Other Authors: Benner, Peter (Editor), Schilders, Wil (Editor), Grivet-Talocia, Stefano (Editor), Quarteroni, Alfio (Editor), Rozza, Gianluigi (Editor), Miguel Silveira, Luís (Editor)
Format: Electronic Book Chapter
Language:English
Published: Berlin/Boston De Gruyter 2020
Series:Model Order Reduction
Subjects:
Numerical analysis
Applied mathematics
Mathematical physics
Production engineering
PROM
Online Access:DOAB: download the publication
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Summary: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.
Physical Description:1 electronic resource (348 p.)
ISBN:9783110671490
Access:Open Access

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