UID:
almahu_9948635240402882
Umfang:
1 online resource (VIII, 466 p.)
ISBN:
3-11-049775-1
,
3-11-049900-2
Serie:
Model Order Reduction ; Volume 3
Inhalt:
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.
Anmerkung:
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
,
Issued also in print.
,
In English.
Weitere Ausg.:
ISBN 3-11-050044-2
Sprache:
Englisch
Fachgebiete:
Mathematik
DOI:
10.1515/9783110499001