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  Model Order Reduction by Proper Orthogonal Decomposition

Gräßle, C., Hinze, M., & Volkwein, S. (2021). Model Order Reduction by Proper Orthogonal Decomposition. In P. Benner, S. Grivet-Talocia, A. Quarteroni, G. Rozza, W. Schilders, & L. M. Silveira (Eds.), Model Order Reduction: Volume 2: Snapshot-Based Methods and Algorithms (pp. 47-96). De Gruyter.

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1906.05188.pdf (Preprint), 5MB
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Open Access. © 2021 Carmen Gräßle et al., published by De Gruyter. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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 Creators:
Gräßle, Carmen1, Author              
Hinze, Michael2, Author
Volkwein, Stefan3, Author
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
2University of Koblenz-Landau, ou_persistent22              
3University of Konstanz, ou_persistent22              

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 Dates: 2019-06-122020-08-012021
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1515/9783110671490-002
arXiv: 1906.05188
 Degree: -

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Title: Model Order Reduction : Volume 2: Snapshot-Based Methods and Algorithms
Source Genre: Book
 Creator(s):
Benner, Peter, Editor
Grivet-Talocia, Stefano, Editor
Quarteroni, Alfio, Editor
Rozza, Gianluigi, Editor
Schilders, Wil, Editor
Silveira, Luis Miguel, Editor
Affiliations:
-
Publ. Info: De Gruyter
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 47 - 96 Identifier: ISBN: 978-3-11-067140-7
ISBN: 978-3-11-067150-6
DOI: 10.1515/9783110671490