Model Order Reduction in Fluid Dynamics: Challenges and Perspectives

Lassila, T orcid.org/0000-0001-8947-1447, Manzoni, A, Quarteroni, A et al. (1 more author) (2014) Model Order Reduction in Fluid Dynamics: Challenges and Perspectives. In: Quarteroni, A and Rozza, G, (eds.) Reduced Order Methods for Modeling and Computational Reduction. MS&A - Modeling, Simulation and Applications, 9 . Springer , Cham, Germany , pp. 235-273. ISBN 978-3-319-02089-1

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Copyright, Publisher and Additional Information: © 2014, Springer International Publishing Switzerland. This is a post-peer-review, pre-copyedit version of an paper published in Reduced Order Methods for Modeling and Computational Reduction. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-02090-7_9. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Proper Orthogonal Decomposition; Proper Orthogonal Decomposition Mode; Posteriori Error Estimation; Reduce Basis; Galerkin Projection
Dates:
  • Published: 2014
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 08 Nov 2018 09:26
Last Modified: 08 Nov 2018 09:26
Status: Published
Publisher: Springer
Series Name: MS&A - Modeling, Simulation and Applications
Identification Number: https://doi.org/10.1007/978-3-319-02090-7_9

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