dc.contributor.author
Bonnet, Edouard
dc.contributor.author
Cabello, Sergio
dc.contributor.author
Mulzer, Wolfgang
dc.date.accessioned
2020-06-22T11:44:03Z
dc.date.available
2020-06-22T11:44:03Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/27690
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-27444
dc.description.abstract
Let G be an intersection graph of n geometric objects in the plane. We show that a maximum matching in G can be found in O(ρ^{3ω/2}n^{ω/2}) time with high probability, where ρ is the density of the geometric objects and ω>2 is a constant such that n × n matrices can be multiplied in O(n^ω) time. The same result holds for any subgraph of G, as long as a geometric representation is at hand. For this, we combine algebraic methods, namely computing the rank of a matrix via Gaussian elimination, with the fact that geometric intersection graphs have small separators. We also show that in many interesting cases, the maximum matching problem in a general geometric intersection graph can be reduced to the case of bounded density. In particular, a maximum matching in the intersection graph of any family of translates of a convex object in the plane can be found in O(n^{ω/2}) time with high probability, and a maximum matching in the intersection graph of a family of planar disks with radii in [1, Ψ] can be found in O(Ψ⁶log^11 n + Ψ^{12 ω} n^{ω/2}) time with high probability.
en
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
computational geometry
en
dc.subject
geometric intersection graph
en
dc.subject
maximum matching
en
dc.subject
unit-disk graph
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::510 Mathematik::510 Mathematik
dc.title
Maximum Matchings in Geometric Intersection Graphs
dcterms.bibliographicCitation.articlenumber
31
dcterms.bibliographicCitation.booktitle
37th International Symposium on Theoretical Aspects of Computer Science (STACS)
dcterms.bibliographicCitation.doi
10.4230/LIPIcs.STACS.2020.31
dcterms.bibliographicCitation.url
https://drops.dagstuhl.de/opus/volltexte/2020/11892/
refubium.affiliation
Mathematik und Informatik
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eisbn
978-3-95977-140-5