Regularization by Noise: Theoretical Foundations, Numerical Methods and Applications

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dc.bibliographicCitation.journalTitleOberwolfach reports : OWR
dc.bibliographicCitation.volume9
dc.contributor.otherButkovsky, Oleg
dc.contributor.otherDjurdjevac, Ana
dc.contributor.otherGerencsér, Máté
dc.date.accessioned2024-10-17T12:12:50Z
dc.date.available2024-10-17T12:12:50Z
dc.date.issued2022
dc.description.abstractThe regularizing effects of noisy perturbations of differential equations is a central subject of stochastic analysis. Recent breakthroughs initiated a new wave of interest, particularly concerning non-Markovian, infinite dimensional, and rough-stochastic/Young-stochastic hybrid systems. The mini-workshop aimed to build on these developments by bringing together young researchers in the field. Particular emphasis was given to the connection to numerical stochastic analysis, aiming to put the regularizing effects of the noise into quantitative numeric use.
dc.description.versionpublishedVersion
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/17032
dc.identifier.urihttps://doi.org/10.34657/16054
dc.language.isoeng
dc.publisherOberwolfach : Mathematisches Forschungsinstitut Oberwolfach
dc.relation.doihttps://doi.org/10.14760/OWR-2022-9
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.titleRegularization by Noise: Theoretical Foundations, Numerical Methods and Applications
dc.typeArticle
dc.typeText
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