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Reduced-order modeling for steady transonic flows via manifold learning

Franz, Thomas (2016) Reduced-order modeling for steady transonic flows via manifold learning. Dissertation. DLR-Forschungsbericht. DLR-FB-2016-14, 114 S.

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Item URL in elib:https://elib.dlr.de/104061/
Document Type:Monograph (DLR-Forschungsbericht, Dissertation)
Title:Reduced-order modeling for steady transonic flows via manifold learning
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Franz, ThomasThomas.Franz (at) dlr.deUNSPECIFIED
Date:March 2016
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:114
ISSN:1434-8454
Status:Published
Keywords:reduced-order modeling, manifold learning, adaptive sampling
Institution:TU Braunschweig
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Simulation and Validation
Location: Braunschweig
Institutes and Institutions:Institute of Aerodynamics and Flow Technology > C²A²S²E - Center for Computer Applications in AeroSpace Science and Engineering
Deposited By: Franz, Thomas
Deposited On:20 Apr 2016 14:01
Last Modified:01 Dec 2018 19:52

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