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Dynamical optimization using reduced order models: A method to guarantee performance

✍ Scribed by Jan Hasenauer; Martin Löhning; Mustafa Khammash; Frank Allgöwer

Book ID
118479021
Publisher
Elsevier Science
Year
2012
Tongue
English
Weight
904 KB
Volume
22
Category
Article
ISSN
0959-1524

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A method to generate computationally efficient reduced order models
✍ D. Alonso; A. Velazquez; J.M. Vega 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 425 KB

A new method is presented to generate reduced order models (ROMs) in Fluid Dynamics problems. The method is based on the expansion of the flow variables on a Proper Orthogonal Decomposition (POD) basis, calculated from a limited number of snapshots, which are obtained via Computational Fluid Dynamic