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Parametric shape optimization using the support function

dc.contributor.authorAntunes, Pedro R. S.
dc.contributor.authorBogosel, Beniamin
dc.date.accessioned2022-03-08T17:06:36Z
dc.date.available2022-03-08T17:06:36Z
dc.date.issued2022
dc.description.abstractThe optimization of shape functionals under convexity, diameter or constant width constraints shows numerical challenges. The support function can be used in order to approximate solutions to such problems by finite dimensional optimization problems under various constraints. We propose a numerical framework in dimensions two and three and we present applications from the field of convex geometry. We consider the optimization of functionals depending on the volume, perimeter and Dirichlet Laplace eigenvalues under the aforementioned constraints. In particular we confirm numerically Meissner's conjecture, regarding three dimensional bodies of constant width with minimal volume.pt_PT
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.2/11815
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.subjectShape optimizationpt_PT
dc.subjectSupport functionpt_PT
dc.subjectNumerical simulationspt_PT
dc.subjectConvexitypt_PT
dc.titleParametric shape optimization using the support functionpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleComputational Optimization and Applicationspt_PT
person.familyNameAntunes
person.familyNameBogosel
person.givenNamePedro
person.givenNameBeniamin
person.identifier.ciencia-id6710-138C-A69D
person.identifier.orcid0000-0003-1969-1860
person.identifier.orcid0000-0001-7535-5197
person.identifier.ridM-2406-2015
person.identifier.scopus-author-id55346859100
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationbef314d2-4a78-4fba-aecd-9f4e8e19e70c
relation.isAuthorOfPublication1c987e21-cfda-471b-8917-81f791b5b9a4
relation.isAuthorOfPublication.latestForDiscoverybef314d2-4a78-4fba-aecd-9f4e8e19e70c

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