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Approximately Coloring Graphs Without Long Induced Paths

dc.contributor.authorChudnovsky, Maria
dc.contributor.authorSchaudt, Oliver
dc.contributor.authorSpirkl, Sophie
dc.contributor.authorstein, maya
dc.contributor.authorZhong, Mingxian
dc.date.accessioned2022-08-12T00:38:09Z
dc.date.available2022-08-12T00:38:09Z
dc.date.issued2019
dc.descriptionThis is a post-peer-review, pre-copyedit version of an article published in Algorithmica. The final authenticated version is available online at: https://doi.org/10.1007/s00453-019-00577-6en
dc.description.abstractIt is an open problem whether the 3-coloring problem can be solved in polynomial time in the class of graphs that do not contain an induced path on t vertices, for fixed t. We propose an algorithm that, given a 3-colorable graph without an induced path on t vertices, computes a coloring with max{5,2⌈t−12⌉−2} many colors. If the input graph is triangle-free, we only need max{4,⌈t−12⌉+1} many colors. The running time of our algorithm is O((3t−2+t2)m+n) if the input graph has n vertices and m edges.en
dc.description.sponsorshipThe first author was supported by National Science Foundation grant DMS-1550991 and US Army Research Office Grant W911NF-16-1-0404. The fourth author was supported by Fondecyt Grants 1140766 and 1180830, by CMM-Basal AFB 170001, and by Millennium Nucleus Information and Coordination in Networks.en
dc.identifier.urihttps://doi.org/10.1007/s00453-019-00577-6
dc.identifier.urihttp://hdl.handle.net/10012/18519
dc.language.isoenen
dc.publisherSpringer Natureen
dc.subjectgraph coloringen
dc.subjectforbidden induced pathsen
dc.subjectapproximation algorithmen
dc.titleApproximately Coloring Graphs Without Long Induced Pathsen
dc.typeArticleen
dcterms.bibliographicCitationChudnovsky, M., Schaudt, O., Spirkl, S. et al. Approximately Coloring Graphs Without Long Induced Paths. Algorithmica 81, 3186–3199 (2019). https://doi.org/10.1007/s00453-019-00577-6en
uws.contributor.affiliation1Faculty of Mathematicsen
uws.contributor.affiliation2Combinatorics and Optimizationen
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen
uws.typeOfResourceTexten

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