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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| Інші автори: | , , , , , |
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| Формат: | Електронний ресурс Частина з книги |
| Мова: | Англійська |
| Опубліковано: |
Berlin/Boston
De Gruyter
2020
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| Серія: | Model Order Reduction
Volume 2 |
| Предмети: | |
| Онлайн доступ: | OAPEN Library: download the publication OAPEN Library: description of the publication |
| Теги: |
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| Резюме: | 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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| Фізичний опис: | 1 electronic resource (348 p.) |
| ISBN: | 9783110671490 |
| Доступ: | Open Access |