dc.contributor.author | Blaser, Nello | |
dc.contributor.author | Brun, Morten | |
dc.date.accessioned | 2022-12-15T14:21:43Z | |
dc.date.available | 2022-12-15T14:21:43Z | |
dc.date.created | 2022-11-14T10:13:43Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 0179-5376 | |
dc.identifier.uri | https://hdl.handle.net/11250/3038083 | |
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 Čech persistent homology can be computed as the persistent homology of the relative Čech complex Cˇ(X,A). However, 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 Čech persistent homology in low dimensional Euclidean space. We introduce the relative Delaunay–Čech complex DelCˇ(X,A) whose homology is the relative Čech 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 | Springer | 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 2022 The Author(s) | en_US |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |
dc.identifier.doi | 10.1007/s00454-022-00421-9 | |
dc.identifier.cristin | 2073270 | |
dc.source.journal | Discrete & Computational Geometry | en_US |
dc.source.pagenumber | 949-963 | en_US |
dc.identifier.citation | Discrete & Computational Geometry. 2022, 68, 949-963. | en_US |
dc.source.volume | 68 | en_US |