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dc.contributor.authorBlaser, Nello
dc.contributor.authorBrun, Morten
dc.date.accessioned2021-04-26T08:24:00Z
dc.date.available2021-04-26T08:24:00Z
dc.date.created2021-01-13T10:36:52Z
dc.date.issued2020
dc.identifier.issn1868-8969
dc.identifier.urihttps://hdl.handle.net/11250/2739475
dc.description.abstractThe alpha complex efficiently computes persistent homology of a point cloud X in Euclidean space when the dimension d is low. Given a subset A of X, relative persistent homology can be computed as the persistent homology of the relative Čech complex Č(X, A). But this is not computationally feasible for larger point clouds X. The aim of this note is to present a method for efficient computation of relative persistent homology in low dimensional Euclidean space. We introduce the relative Delaunay-Čech complex DelČ(X, A) whose homology is the relative persistent homology. It is constructed from the Delaunay complex of an embedding of X in (d+1)-dimensional Euclidean space.en_US
dc.language.isoengen_US
dc.publisherSchloss Dagstuhl, Leibniz-Zentrum für Informatiken_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleRelative Persistent Homologyen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright Nello Blaser and Morten Brunen_US
dc.source.articlenumber18en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.4230/LIPIcs.SoCG.2020.18
dc.identifier.cristin1870417
dc.source.journalLeibniz International Proceedings in Informaticsen_US
dc.source.pagenumber1-10en_US
dc.identifier.citationLeibniz International Proceedings in Informatics. 2020, 164, 18, 1-10.en_US
dc.source.volume164en_US


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