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Nonlinear Data: Theory and Algorithms

dc.date.accessioned2019-10-24T15:43:08Z
dc.date.available2019-10-24T15:43:08Z
dc.date.issued2018
dc.identifier.urihttp://publications.mfo.de/handle/mfo/3642
dc.description.abstractTechniques and concepts from differential geometry are used in many parts of applied mathematics today. However, there is no joint community for users of such techniques. The workshop on Nonlinear Data assembled researchers from fields like numerical linear algebra, partial differential equations, and data analysis to explore differential geometry techniques, share knowledge, and learn about new ideas and applications.
dc.titleNonlinear Data: Theory and Algorithms
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-2018-20
local.series.idOWR-2018-20
local.subject.msc65
local.subject.msc53
local.sortindex1082
local.date-range22 Apr - 28 Apr 2018
local.workshopcode1817
local.workshoptitleNonlinear Data: Theory and Algorithms
local.organizersPhilipp Grohs, Wien; Oliver Sander, Dresden; Jean-Luc Starck, Gif-sur-Yvette; Johannes Wallner, Graz
local.report-nameWorkshop Report 2018,20
local.opc-photo-id1817
local.publishers-doi10.4171/OWR/2018/20
local.ems-referenceGrohs Philipp, Sander Oliver, Starck Jean-Luc, Wallner Johannes: Nonlinear Data: Theory and Algorithms. Oberwolfach Rep. 15 (2018), 1161-1234. doi: 10.4171/OWR/2018/20


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