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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Bibliographic Details
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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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