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 on real...

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Bibliographic Details
Main Author: Benner, Peter
Other Authors: Grivet-Talocia, Stefano, Quarteroni, Alfio, Rozza, Gianluigi
Format: eBook
Language:English
Published: Berlin/Boston De Gruyter 2021
Series:Model Order Reduction
Subjects:
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
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520 |a 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.