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dc.contributor.authorBergougnoux, Benjamin
dc.contributor.authorEiben, Eduard
dc.contributor.authorGanian, Robert
dc.contributor.authorOrdyniak, Sebastian
dc.contributor.authorRamanujan, M. S.
dc.date.accessioned2021-08-09T08:29:52Z
dc.date.available2021-08-09T08:29:52Z
dc.date.created2021-03-22T17:19:58Z
dc.date.issued2020
dc.identifier.issn0178-4617
dc.identifier.urihttps://hdl.handle.net/11250/2766898
dc.description.abstractIn the DIRECTED FEEDBACK VERTEX SET (DFVS) problem, the input is a directed graph D and an integer k. The objective is to determine whether there exists a set of at most k vertices intersecting every directed cycle of D. DFVS was shown to be fixed-parameter tractable when parameterized by solution size by Chen et al. (J ACM 55(5):177–186, 2008); since then, the existence of a polynomial kernel for this problem has become one of the largest open problems in the area of parameterized algorithmics. Since this problem has remained open in spite of the best efforts of a number of prominent researchers and pioneers in the field, a natural step forward is to study the kernelization complexity of DFVS parameterized by a natural larger parameter. In this paper, we study DFVS parameterized by the feedback vertex set number of the underlying undirected graph. We provide two main contributions: a polynomial kernel for this problem on general instances, and a linear kernel for the case where the input digraph is embeddable on a surface of bounded genus.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleTowards a Polynomial Kernel for Directed Feedback Vertex Seten_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright The Author(s) 2020en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.doi10.1007/s00453-020-00777-5
dc.identifier.cristin1900007
dc.source.journalAlgorithmicaen_US
dc.source.pagenumber1201–1221en_US
dc.identifier.citationAlgorithmica. 2021, 83, 1201-1221.en_US
dc.source.volume83en_US


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