Model Order Reduction / Applications
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 three-volume handbook covers methods as well as applications. This third volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.
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Persons
Benner , MPI, GE; Grivet-T. , POLITO, Quarteroni , Politec., Rozza , SISSA, IT; Schilders , TU Eind., NE; Silveira , INESC-ID, PT
