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Mixed-integer Nonlinear Optimization: A Hatchery for Modern Mathematics

dc.date.accessioned2023-09-18T07:34:11Z
dc.date.available2023-09-18T07:34:11Z
dc.date.issued2023
dc.identifier.urihttp://publications.mfo.de/handle/mfo/4068
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.titleMixed-integer Nonlinear Optimization: A Hatchery for Modern Mathematics
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.de
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.en
dc.identifier.doi10.14760/OWR-2023-35
local.series.idOWR-2023-35
local.subject.msc90
local.subject.msc06
local.date-range13 Aug - 18 Aug 2023
local.workshopcode2333
local.workshoptitleMixed-integer Nonlinear Optimization: A Hatchery for Modern Mathematics
local.organizersLeo Liberti, Palaiseau; Sebastian Sager, Magdeburg; Angelika Wiegele, Klagenfurt
local.report-nameWorkshop Report 2023,35
local.opc-photo-id2333
local.publishers-doi10.4171/OWR/2023/35


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