Model Order Reduction. / Volume 1, : System- and Data-Driven Methods and Algorithms / / ed. by Peter Benner.
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 first volume focuses on real...
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MitwirkendeR: |
Benner, Peter,
Feng, Lihong, Gosea, Ion Victor, Grivet-Talocia, Stefano, Haasdonk, Bernard, Karachalios, Dimitrios S., Kleijnen, Jack P. C., Magdeburg, Luìs Miguel Silveira, Mahdiabadi, Morteza Karamooz, Quarteroni, Alfio, Rozza, Gianluigi, Santin, Gabriele, Schilders, W. H. A. Silveira, Luis Miguel, Silveira, Luís Miguel, Tiso, Paolo, Triverio, Piero, Zimmermann, Ralf, |
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HerausgeberIn: | |
Place / Publishing House: | Berlin ;, Boston : : De Gruyter,, [2021] ©2021 |
Year of Publication: | 2021 |
Language: | English |
Series: | Model Order Reduction ;
Volume 1 |
Physical Description: | 1 online resource (X, 378 p.) |
Notes: | Description based upon print version of record. |
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DOAB Directory of Open Access Books | Available |
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