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dc.contributor.authorBorradaile, Glencora
dc.contributor.authorDemaine, Erik D.
dc.contributor.authorTazari, Siamak
dc.date.accessioned2014-05-16T14:36:54Z
dc.date.available2014-05-16T14:36:54Z
dc.date.issued2012-06
dc.date.submitted2009-02
dc.identifier.isbn978-3-939897-09-5
dc.identifier.issn0178-4617
dc.identifier.issn1432-0541
dc.identifier.urihttp://hdl.handle.net/1721.1/87025
dc.description.abstractWe present the first polynomial-time approximation schemes (PTASes) for the following subset-connectivity problems in edge-weighted graphs of bounded-genus: Steiner tree, low-connectivity survivable-network design, and subset TSP. The schemes run in O(nlogn) time for graphs embedded on both orientable and nonorientable surfaces. This work generalizes the PTAS framework from planar graphs to bounded-genus graphs: any problem that is shown to be approximable by the planar PTAS framework of Borradaile et al. (ACM Trans. Algorithms 5(3), 2009) will also be approximable in bounded-genus graphs by our extension.en_US
dc.description.sponsorshipDeutsche Forschungsgemeinschaft (grant MU1482/3-1)en_US
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada (Postdoctoral fellowship)en_US
dc.language.isoen_US
dc.publisherSpringer-Verlag Berlin Heidelbergen_US
dc.relation.isversionofhttp://stacs2009.informatik.uni-freiburg.de/proceedings_stacs09.pdfen_US
dc.rightsCreative Commons Attribution-NonCommercial-No Derivative Worksen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/en_US
dc.sourceMIT web domainen_US
dc.titlePolynomial-Time Approximation Schemes for Subset-Connectivity Problems in Bounded-Genus Graphsen_US
dc.typeArticleen_US
dc.identifier.citationBorradaile, Glencora, Erik D. Demaine, and Siamak Tazari. “Polynomial-Time Approximation Schemes for Subset-Connectivity Problems in Bounded-Genus Graphs.” Algorithmica 68, no. 2 (February 2014): 287–311. doi:10.1007/s00453-012-9662-2.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorDemaine, Erik D.en_US
dc.relation.journalAlgorithmicaen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsBorradaile, Glencora; Demaine, Erik D.; Tazari, Siamaken_US
dc.identifier.orcidhttps://orcid.org/0000-0003-3803-5703
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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