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 o...
| Другие авторы: | |
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| Формат: | Электронная книга |
| Язык: | English |
| Публикация: |
Berlin
De Gruyter,
[2021]
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| Серии: | Model order reduction ;
v. 1. |
| Предметы: | |
| Online-ссылка: | EBSCOhost Перейти в каталог НБ ТГУ |
| Итог: | "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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| Объем: | 1 online resource (viii, 378 pages) illustrations. |
| Библиография: | Includes bibliographical references and index. |
| ISBN: | 9783110497717 3110497719 |