Model Order Reduction. / Volume 3, : Applications / / Peter Benner, Wil Schilders, Stefano Grivet-Talocia, Alfio Quarteroni, Gianluigi Rozza, Luís Miguel Silveira.

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 ap...

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Bibliographic Details
MitwirkendeR:
HerausgeberIn:
Place / Publishing House:Berlin ;, Boston : : De Gruyter,, [2020]
©2021
Year of Publication:2020
Language:English
Series:Model Order Reduction ; Volume 3
Physical Description:1 online resource (VIII, 466 p.)
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Description
Other title:Frontmatter --
Preface to the third volume of Model Order Reduction --
Contents --
1 Model reduction in chemical process optimization --
2 Model order reduction in mechanical engineering --
3 Case studies of model order reduction for acoustics and vibrations --
4 Model order reduction in microelectronics --
5 Complexity reduction of electromagnetic systems --
6 Model reduction in computational aerodynamics --
7 Model order reduction in neuroscience --
8 Reduced-order modeling for applications to the cardiovascular system --
9 From the POD-Galerkin method to sparse manifold models --
10 Model order reduction in uncertainty quantification --
11 Reduced-order modeling of large-scale network systems --
12 Model order reduction and digital twins --
13 MOR software --
Index
Summary: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:3110497751
3110499002
Hierarchical level:Monograph
Statement of Responsibility: Peter Benner, Wil Schilders, Stefano Grivet-Talocia, Alfio Quarteroni, Gianluigi Rozza, Luís Miguel Silveira.