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 two-volume handbook covers methods as well as applications. This second volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.
Model Order Reduction. Volume 2: Snapshot-Based Methods and Algorithms / Peter, Benner; Grivet Talocia, Stefano; Alfio, Quarteroni; Gianluigi, Rozza; Wil, Schilders; Luís Miguel Silveira,. - ELETTRONICO. - 2:(2021), pp. 1-356. [10.1515/9783110671490]
Model Order Reduction. Volume 2: Snapshot-Based Methods and Algorithms
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 two-volume handbook covers methods as well as applications. This second volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.
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MOR_Vol2_Front_Preface_Index.pdf
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http://hdl.handle.net/11583/2859096