Model Order Reduction Volume 3, Applications Volume 3, Applications /
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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Format: | eBook |
Language: | Inglés |
Published: |
Berlin/Boston
De Gruyter
2020
Berlin ; Boston : [2020] |
Series: | Model Order Reduction ;
Volume 3 |
Subjects: | |
See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009429258706719 |
Table of Contents:
- 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