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dc.contributor.authorOllar, Jen_US
dc.contributor.authorMortished, Cen_US
dc.contributor.authorJones, Ren_US
dc.contributor.authorSienz, Jen_US
dc.contributor.authorToropov, Ven_US
dc.date.accessioned2017-01-24T15:05:57Z
dc.date.available2016-11-17en_US
dc.date.issued2017-06en_US
dc.date.submitted2017-01-20T18:18:05.707Z
dc.identifier.issn1615-147Xen_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/18948
dc.description.sponsorshipThe authors are very grateful to the Altair HyperStudy team for their support throughout this work. Jonathan Ollar, Vassili Toropov and Royston Jones greatly appreciate funding from European Union Seventh Framework Programme FP7-PEOPLE-2012-ITN under grant agreement 316394, Aerospace Multidisciplinarity Enabling DEsign Optimization (AMEDEO)Marie Curie Initial Training Network. Charles Mortished and Johann Sienz greatly appreciate funding from EPSRC EDT (EP/I015507/1) Manufacturing Advances Through Training Engineering Researchers (MATTER). Vassili Toropov is grateful for the support provided by the Russian Science Foundation, project No. 16-11-10150.en_US
dc.format.extent2029 - 2044en_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.subjectHyper-parameter optimisationen_US
dc.subjectSQPen_US
dc.subjectAdjoint methoden_US
dc.subjectCondition numberen_US
dc.subjectKrigingen_US
dc.subjectGradient-enhanced krigingen_US
dc.subjectGaussian processesen_US
dc.titleGradient based hyper-parameter optimisation for well conditioned kriging metamodelsen_US
dc.typeArticle
dc.rights.holder© The Author(s) 2016
dc.identifier.doi10.1007/s00158-016-1626-8en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000400601200006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue6en_US
pubs.notesNot knownen_US
pubs.notesOpen access publicationen_US
pubs.organisational-group/Queen Mary University of London
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Engineering and Materials Science - Staff
pubs.publication-statusPublisheden_US
pubs.volume55en_US


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