System- and Data-Driven Methods and Algorithms
Author | : Peter Benner |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 346 |
Release | : 2021-11-08 |
Genre | : Mathematics |
ISBN | : 3110497719 |
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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-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques.