Combinatorics, Probability and Computing

dc.bibliographicCitation.firstPage1165
dc.bibliographicCitation.issue2
dc.bibliographicCitation.journalTitleOberwolfach reports : OWR
dc.bibliographicCitation.lastPage1237
dc.bibliographicCitation.volume19
dc.contributor.otherKrivelevich, Michael
dc.contributor.otherMorris, Robert
dc.contributor.otherRiordan, Oliver
dc.contributor.otherSteger, Angelika
dc.date.accessioned2024-10-17T12:12:47Z
dc.date.available2024-10-17T12:12:47Z
dc.date.issued2022
dc.description.abstractThe main theme of this workshop was the use of probabilistic methods in combinatorics and theoretical computer science. This area is evolving extremely quickly, with the introduction of powerful new methods and the development of increasingly sophisticated techniques, and there have been a number of very significant breakthroughs in the area in recent years. The workshop emphasized several of these recent breakthroughs, which include applications of probabilistic techniques to extremal questions, and of combinatorial techniques to areas of discrete probability theory, such as random matrices and planar percolation.eng
dc.description.versionpublishedVersion
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/17020
dc.identifier.urihttps://doi.org/10.34657/16042
dc.language.isoeng
dc.publisherZürich : EMS Publ. House
dc.relation.doihttps://doi.org/10.4171/OWR/2022/22
dc.relation.essn1660-8941
dc.relation.issn1660-8933
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.eng
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.ger
dc.subject.ddc510
dc.subject.gndKonferenzschriftger
dc.titleCombinatorics, Probability and Computingeng
dc.typeArticle
tib.accessRightsopenAccess
wgl.contributorMFO
wgl.subjectMathematik
wgl.typeZeitschriftenartikel

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