Model Order Reduction System- and Data-Driven Methods and Algorithms, Volume 1 [#351724]

English | 2021 | ISBN: 978-3110500431 | 388 pages | pdf, epub | 42.17 MB
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.