dc.contributor.author | Blaser, Nello | |
dc.contributor.author | Brun, Morten | |
dc.date.accessioned | 2021-04-26T08:24:00Z | |
dc.date.available | 2021-04-26T08:24:00Z | |
dc.date.created | 2021-01-13T10:36:52Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 1868-8969 | |
dc.identifier.uri | https://hdl.handle.net/11250/2739475 | |
dc.description.abstract | The 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.iso | eng | en_US |
dc.publisher | Schloss Dagstuhl, Leibniz-Zentrum für Informatik | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Relative Persistent Homology | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | Copyright Nello Blaser and Morten Brun | en_US |
dc.source.articlenumber | 18 | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |
dc.identifier.doi | 10.4230/LIPIcs.SoCG.2020.18 | |
dc.identifier.cristin | 1870417 | |
dc.source.journal | Leibniz International Proceedings in Informatics | en_US |
dc.source.pagenumber | 1-10 | en_US |
dc.identifier.citation | Leibniz International Proceedings in Informatics. 2020, 164, 18, 1-10. | en_US |
dc.source.volume | 164 | en_US |