Model Order Reduction
Volume 3 Applications
Contributor(s)
Benner, Peter (editor)
Schilders, Wil (editor)
Grivet-Talocia, Stefano (editor)
Quarteroni, Alfio (editor)
Rozza, Gianluigi (editor)
Miguel Silveira, Luís (editor)
Language
EnglishAbstract
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.
Keywords
Complexity reduction; applications in engineering; biomedical engineering; computational physics; computer scienceDOI
10.1515/9783110499001Publisher
De GruyterPublisher website
https://www.degruyter.com/Publication date and place
Berlin/Boston, 2020Series
Model Order Reduction, Volume 3Classification
Numerical analysis
Applied mathematics
Mathematical physics
Production and industrial engineering