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System- and Data-Driven Methods and Algorithms

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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...

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Bibliographic Details
Other Authors: Benner, Peter (Editor), Grivet-Talocia, Stefano (Editor), Quarteroni, Alfio (Editor), Rozza, Gianluigi (Editor), Schilders, Wil (Editor), Silveira, Luís Miguel (Editor)
Format: Electronic Book Chapter
Language:English
Published: Berlin/Boston De Gruyter 2021
Series:Model Order Reduction
Subjects:
Numerical analysis
Applied mathematics
Mathematical physics
Production engineering
Computational physics
Computer simulation
Online Access:DOAB: download the publication
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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.
Physical Description:1 electronic resource (378 p.)
ISBN:9783110498967
9783110500431
9783110497717
Access:Open Access

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