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A data-driven scalable MDO problem to compare MDO formulations

de lozzo, Matthias and gallard, francois and Gazaix, Anne and Abu-Zurayk, Mohammad and Ilic, Caslav and Rogé, Gilbert and Fougeron, Gabriel (2021) A data-driven scalable MDO problem to compare MDO formulations. AIAA Aviation 2021, 02.-06. Aug. 2021, Washington-USA / Online.

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Item URL in elib:https://elib.dlr.de/144479/
Document Type:Conference or Workshop Item (Speech)
Title:A data-driven scalable MDO problem to compare MDO formulations
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
de lozzo, Matthiasmatthias.delozzo (at) irt-saintexupery.comUNSPECIFIED
gallard, francoisFrancois.gallardirt-saintexupery.comUNSPECIFIED
Gazaix, Anneanne.gazaix (at) irt-saintexupery.comUNSPECIFIED
Abu-Zurayk, MohammadMohammed.Abu-Zurayk (at) dlr.deUNSPECIFIED
Ilic, CaslavCaslav.Ilic (at) dlr.deUNSPECIFIED
Rogé, GilbertDassault-AviationUNSPECIFIED
Fougeron, GabrielESI GroupUNSPECIFIED
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:MDO, Data-Driven, Formulations
Event Title:AIAA Aviation 2021
Event Location:Washington-USA / Online
Event Type:international Conference
Event Dates:02.-06. Aug. 2021
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Virtual Aircraft and  Validation
Location: Braunschweig
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > CASE, BS
Institute for Aerodynamics and Flow Technology > Transport Aircraft
Deposited By: Abu-Zurayk, Mohammad
Deposited On:19 Oct 2021 10:10
Last Modified:19 Oct 2021 10:10

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