System- and Data-Driven Methods and Algorithms
Peter Benner, et al

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.

Издательство:
De Gruyter
Год издания:
2021
ISBN:
978-3-1105-0043-1
ISBN:
978-3-1104-9771-7
ISBN:
978-3-1104-9896-7

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