Model Order Reduction Volume 2: Snapshot-Based 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 second volume focuses on app...
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| Autres auteurs: | , , , , , |
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| Format: | Électronique Chapitre de livre |
| Langue: | anglais |
| Publié: |
Berlin/Boston
De Gruyter
2020
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| Collection: | Model Order Reduction
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| Sujets: | |
| Accès en ligne: | DOAB: download the publication DOAB: description of the publication |
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| Résumé: | 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. |
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| Description matérielle: | 1 electronic resource (348 p.) |
| ISBN: | 9783110671490 |
| Accès: | Open Access |