Model Order Reduction / System- and Data-Driven Methods and Algorithms
Description
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.
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Persons
Benner , MPI, GE; Grivet-T. , POLITO, Quarteroni , Politec., Rozza , SISSA, IT; Schilders , TU Eind., NE; Silveira , INESC-ID, PT
