Archivio Istituzionale della RicercaAn 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.
Model Order Reduction. Volume 3: Applications / Peter, Benner; GRIVET TALOCIA, Stefano; Alfio, Quarteroni; Gianluigi, Rozza; Wil, Schilders; Luís Miguel Silveira,. - ELETTRONICO. - 3:(2021), pp. 1-474. [10.1515/9783110499001]
Model Order Reduction. Volume 3: Applications
Stefano Grivet-Talocia;
2021
Abstract
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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MOR_Vol3_Front_Preface_Index.pdf
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https://hdl.handle.net/11583/2859098