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.
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.
Titolo: | Model Order Reduction. Volume 3: Applications | |
Autori: | ||
Data di pubblicazione: | 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. | |
ISBN: | 9783110499001 9783110500448 | |
Appare nelle tipologie: | 7.1 Curatela |
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