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Geometrical and optimizations aspects for approximating the response surface in industry

datacite.subject.fosCiências Naturais::Matemáticas
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
dc.contributor.authorKitsos, Christos P.
dc.contributor.authorOliveira, Teresa A.
dc.contributor.authorOliveira, Amilcar
dc.contributor.editorPardalos, Panos and Rassias, Themistocles
dc.date.accessioned2025-12-03T14:58:52Z
dc.date.available2025-12-03T14:58:52Z
dc.date.issued2025-10
dc.description.abstractThe target of this paper is to discuss an approximation when the experimentalist tries to explore the response surface of his industrial experimentation. Different methods under different designs, have been proposed for Response Surface Methods (RSM). We discuss such designs under a geometrical point of view when the optimal response surface is tried to be estimated. A number of applications in RSM are included.eng
dc.identifier.citationGeometrical and Optimizations Aspects for Approximating the Response Surface in Industry. Christos P. Kitsos, Teresa A. Oliveira, and Amílcar Oliveira: Global Optimization, Computation, Approximation and Applications. October 2025, 655-680
dc.identifier.doi10.1142/14078
dc.identifier.isbn978-981-98-0206-7
dc.identifier.urihttp://hdl.handle.net/10400.2/20495
dc.language.isoeng
dc.peerreviewedyes
dc.publisherWorld Scientific Publishing
dc.relationCentre of Statistics and its Applications
dc.relation.ispartofseriesSeries on Computers and Operations Research
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleGeometrical and optimizations aspects for approximating the response surface in industryeng
dc.typebook part
dspace.entity.typePublication
oaire.awardTitleCentre of Statistics and its Applications
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00006%2F2020/PT
oaire.citation.endPage680
oaire.citation.startPage655
oaire.citation.titleGlobal Optimization, Computation, Approximation and Applications
oaire.citation.volume13
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa
person.familyNameKitsos
person.familyNameOliveira
person.familyNameOliveira
person.givenNameChristos P.
person.givenNameTeresa A.
person.givenNameAmilcar
person.identifier1155497
person.identifier.ciencia-id8814-A54B-12DE
person.identifier.ciencia-id7110-61B4-B87F
person.identifier.orcid0000-0003-3084-0150
person.identifier.orcid0000-0003-3283-9946
person.identifier.orcid0000-0001-5500-7742
person.identifier.ridJ-3077-2019
person.identifier.scopus-author-id54403540300
person.identifier.scopus-author-id55675222550
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
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relation.isAuthorOfPublication1c873476-22fd-4331-8286-ff5576ac3b0c
relation.isAuthorOfPublication.latestForDiscoveryc35aefb9-c71f-47a0-9826-0a9f82f89581
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