Model Order Reduction: System- and Data-Driven Methods and Algorithms, Volume 1
Peter Benner, Wilhelmus Schilders, Stefano Grivet-Talocia, Gianluigi Rozza, Alfio Quarteroni, Luís Miguel Silveira
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.
Catégories:
Année:
2021
Editeur::
De Gruyter
Langue:
english
Pages:
616
ISBN 10:
3110500434
ISBN 13:
9783110500431
Fichier:
PDF, 8.42 MB
IPFS:
,
english, 2021