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dc.contributor.authorDemaine, Erik D
dc.contributor.authorHesterberg, Adam Classen
dc.contributor.authorKu, Jason S
dc.date.accessioned2021-02-22T15:16:54Z
dc.date.available2021-02-22T15:16:54Z
dc.date.issued2020-06
dc.identifier.issn1868-8969
dc.identifier.issn9783959771436
dc.identifier.urihttps://hdl.handle.net/1721.1/129938
dc.description.abstractA closed quasigeodesic is a closed loop on the surface of a polyhedron with at most 180◦ of surface on both sides at all points; such loops can be locally unfolded straight. In 1949, Pogorelov proved that every convex polyhedron has at least three (non-self-intersecting) closed quasigeodesics, but the proof relies on a nonconstructive topological argument. We present the first finite algorithm to find a closed quasigeodesic on a given convex polyhedron, which is the first positive progress on a 1990 open problem by O'Rourke and Wyman. The algorithm's running time is pseudopolynomial, namely O ( nε22 L` b ) time, where ε is the minimum curvature of a vertex, L is the length of the longest edge, ` is the smallest distance within a face between a vertex and a nonincident edge (minimum feature size of any face), and b is the maximum number of bits of an integer in a constant-size radical expression of a real number representing the polyhedron. We take special care in the model of computation and needed precision, showing that we can achieve the stated running time on a pointer machine supporting constant-time w-bit arithmetic operations where w = Ω(lg b).en_US
dc.language.isoen
dc.publisherSchloss Dagstuhl, Leibniz Center for Informaticsen_US
dc.relation.isversionof10.4230/LIPIcs.SoCG.2020.33en_US
dc.rightsCreative Commons Attribution 3.0 unported licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/en_US
dc.sourceDROPSen_US
dc.titleFinding closed quasigeodesics on convex polyhedraen_US
dc.typeArticleen_US
dc.identifier.citationDemaine, Erik D. et al. “Finding closed quasigeodesics on convex polyhedra.” 36th International Symposium on Computational Geometry, June 2020, virtual, Schloss Dagstuhl and Leibniz Center for Informatics, June 2020. © 2020 The Author(s)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.relation.journalLeibniz International Proceedings in Informatics, LIPIcsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2020-12-09T18:18:17Z
dspace.orderedauthorsDemaine, ED; Hesterberg, AC; Ku, JSen_US
dspace.date.submission2020-12-09T18:18:19Z
mit.journal.volume164en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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