Mixed-integer Nonlinear Optimization: A Hatchery for Modern Mathematics

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dc.bibliographicCitation.journalTitleOberwolfach reports : OWR
dc.bibliographicCitation.volume35
dc.contributor.otherLiberti, Leo
dc.contributor.otherSager, Sebastian
dc.contributor.otherWiegele, Angelika
dc.date.accessioned2024-10-18T08:29:07Z
dc.date.available2024-10-18T08:29:07Z
dc.date.issued2023
dc.description.abstractMixed-integer nonlinear programming (MINLP) is concerned with finding optimal solutions to mathematical formulations of optimization problems combining discrete and nonlinear phenomena. The scientific program was organized around three areas: convex envelopes and relaxation hierarchies, mixed-integer optimal control, and current trends. These topics were addressed with a variety of tutorials, talks, and short research announcements.
dc.description.versionpublishedVersion
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/17084
dc.identifier.urihttps://doi.org/10.34657/16106
dc.language.isoeng
dc.publisherOberwolfach : Mathematisches Forschungsinstitut Oberwolfach
dc.relation.doihttps://doi.org/10.14760/OWR-2023-35
dc.relation.essn1660-8941
dc.relation.issn1660-8933
dc.rights.licenseDieses Dokument darf im Rahmen von § 53 UrhG zum eigenen Gebrauch kostenfrei heruntergeladen, gelesen, gespeichert und ausgedruckt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
dc.rights.licenseThis document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties.
dc.subject.ddc510
dc.subject.gndKonferenzschrift
dc.titleMixed-integer Nonlinear Optimization: A Hatchery for Modern Mathematics
dc.typeArticle
dc.typeText
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