System- and Data-Driven Methods and Algorithms
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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| Kolejni autorzy: | , , , , , |
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| Format: | Elektroniczne Rozdział |
| Język: | angielski |
| Wydane: |
Berlin/Boston
De Gruyter
2021
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| Seria: | Model Order Reduction
1 |
| Hasła przedmiotowe: | |
| Dostęp online: | OAPEN Library: download the publication OAPEN Library: description of the publication |
| Etykiety: |
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| Streszczenie: | 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-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques. |
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| Opis fizyczny: | 1 electronic resource (378 p.) |
| ISBN: | 9783110498967 9783110500431 9783110497717 |
| Ograniczenie dostępu: | Open Access |