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dc.contributor.author
Lin, Min Chih  
dc.contributor.author
Mizrahi, Michel Jonathan  
dc.contributor.author
Szwarcfiter, Jayme L.  
dc.date.available
2018-09-17T20:56:37Z  
dc.date.issued
2017-03  
dc.identifier.citation
Lin, Min Chih; Mizrahi, Michel Jonathan; Szwarcfiter, Jayme L.; Exact Algorithms for Minimum Weighted Dominating Induced Matching; Springer; Algorithmica; 77; 3; 3-2017; 642-660  
dc.identifier.issn
0178-4617  
dc.identifier.uri
http://hdl.handle.net/11336/60000  
dc.description.abstract
Say that an edge of a graph G dominates itself and every other edge sharing a vertex of it. An edge dominating set of a graph G= (V, E) is a subset of edges E′⊆ E which dominates all edges of G. In particular, if every edge of G is dominated by exactly one edge of E′ then E′ is a dominating induced matching. It is known that not every graph admits a dominating induced matching, while the problem to decide if it does admit it is NP-complete. In this paper we consider the problems of counting the number of dominating induced matchings and finding a minimum weighted dominating induced matching, if any, of a graph with weighted edges. We describe three exact algorithms for general graphs. The first runs in linear time for a given vertex dominating set of fixed size of the graph. The second runs in polynomial time if the graph admits a polynomial number of maximal independent sets. The third one is an O∗(1. 1939 n) time and polynomial (linear) space, which improves over the existing algorithms for exactly solving this problem in general graphs.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Dominating Induced Matchings  
dc.subject
Exact Algorithms  
dc.subject
Graph Theory  
dc.subject.classification
Matemática Pura  
dc.subject.classification
Matemáticas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Exact Algorithms for Minimum Weighted Dominating Induced Matching  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-09-17T19:26:42Z  
dc.identifier.eissn
1432-0541  
dc.journal.volume
77  
dc.journal.number
3  
dc.journal.pagination
642-660  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Nueva York  
dc.description.fil
Fil: Lin, Min Chih. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Mizrahi, Michel Jonathan. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Szwarcfiter, Jayme L.. Universidade Federal do Rio de Janeiro; Brasil  
dc.journal.title
Algorithmica  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s00453-015-0095-6  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs00453-015-0095-6