Model Order Reduction: Volume 1: Methods

by Peter Benner (Editor), Wilhelmus Schilders (Editor), Stefano Grivet-Talocia (Editor)

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.

416 pages, Unknown Binding

Published February 17, 2020