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

• MitwirkendeR: Alfio, Quarteroni,; Andrea, Manzoni,; B., Fröhlich,; B., Lohmann,; Behzad, Nouri,; Bernard, Haasdonk,; Bernd R., Noack,; Bülent, Karasözen,; C. D., Yuan,; C. H., Meyer,; C., Lerch,; Rixen, Daniel,; D., Grunert,; Daniel, Ioan,; Dirk, Hartmann,; E. B., Rudnyi,; Elke, Deckers,; Emad, Gad,; Frank, Naets,; Gabriela, Ciuprina,; Harry L., Trentelman,; Herman, Van der Auweraer,; J. B., Rutzmoser,; J., Fehr,; Jacquelien M. A., Scherpen,; Jean-Christophe, Loiseau,; John P., Eason,; Joost, Rommes,; Karl, Meerbergen,; Lorenz T., Biegler,; M., Cruz Varona,; Masayuki, Yano,; Matthias, Herz,; Meinhard, Paffrath,; Michel, Nakhla,; Niccolò, Dal Santo,; P., Eberhard,; P., Holzwarth,; Ram, Achar,; Roland, Pulch,; Stefano, Pagani,; Steven L., Brunton,; T., Bechtold,; Tommaso, Tamarozzi,; Utz, Wever,; Wilhelmus H. A., Schilders,; Wim, Desmet,; Xiaodong, Cheng,
• HerausgeberIn: Benner, Peter,; Grivet-Talocia, Stefano,; Quarteroni, Alfio,; Rozza, Gianluigi,; Schilders, W. H. A.; Silveira, Luís Miguel,
• 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.)

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...

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