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dc.contributor.authorOllar, Jen_US
dc.contributor.authorToropov, Ven_US
dc.contributor.authorJones, Ren_US
dc.date.accessioned2017-01-27T09:59:17Z
dc.date.available2016-05-23en_US
dc.date.issued2017-01en_US
dc.date.submitted2017-01-20T21:14:13.847Z
dc.identifier.issn1615-147Xen_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/19000
dc.description.sponsorshipThe research leading to these results have been funded by the European Union Seventh Framework Programme FP7-PEOPLE-2012-ITN under grant agreement 316394, Aerospace Multidisciplinarity Enabling DEsign Optimization (AMEDEO) Marie Curie Initial Training Network.en_US
dc.format.extent279 - 288en_US
dc.relation.ispartofSTRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATIONen_US
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
dc.subjectMultidisciplinary design optimisationen_US
dc.subjectMulti-model optimisationen_US
dc.subjectSub-space approximationsen_US
dc.subjectMid-range approximationsen_US
dc.titleSub-space approximations for MDO problems with disparate disciplinary variable dependenceen_US
dc.typeArticle
dc.rights.holder© The Author(s) 2016
dc.identifier.doi10.1007/s00158-016-1496-0en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000393599400018&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue1en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume55en_US


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