System- and Data-Driven Methods and Algorithms / / edited by Peter Benner [and five others].
"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...
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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 (viii, 378 pages) :; illustrations. |
Notes: | Includes index. |
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Summary: | "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. "-- Provided by publisher. |
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Hierarchical level: | Monograph |
Statement of Responsibility: | edited by Peter Benner [and five others]. |