System- and Data-Driven Methods and Algorithms
Editeur(s) :
De Gruyter
Collection(s) :
Model Order Reduction
Rayon(s) :
Sciences
Public(s) :
Public motivé
Ean :
9783110500431
Date de parution :
08/11/2021
Résumé :
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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