Open Access star Unrestricted online access

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.

Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0/ cc https://creativecommons.org/licenses/by-nc-nd/4.0/

English