Model Order Reduction. Volume 1, System- and Data-Driven Methods and Algorithms
(eBook)

English

10.1515/9783110498967

Open Access https://purl.org/coar/access_right/c_abf2 d star

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.

Issued also in print.

Mode of access: Internet via World Wide Web.

This eBook is made available Open Access under a CC BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0

In English.