Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/21220
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dc.contributor.authorKUIJPERS, Bart-
dc.contributor.authorRevesz, Peter Z.-
dc.date.accessioned2016-05-23T09:44:41Z-
dc.date.available2016-05-23T09:44:41Z-
dc.date.issued2015-
dc.identifier.urihttp://hdl.handle.net/1942/21220-
dc.description.abstractA basic question in computational geometry is to find the relationship between a set of points and a line in the real plane. In this paper, we present multidimensional data structures for N points that allow answering in O(log N + k) time the following queries: (1) Given an input line, estimate the number of points below the line, (2) Given an input line, return the k ≤ N points that are below the line, and (3) Given an input line, return the point that is closest to the line.-
dc.language.isoen-
dc.subject.otherpoint location queries; nearest point queries; selectivity estimation-
dc.titleA Data Structure to Efficiently Answer Point Location Queries with Respect to a Line-
dc.typeResearch Report-
local.format.pages12-
local.bibliographicCitation.jcatR2-
dc.description.notesPreprint submitted to Elsevier Science-
local.type.refereedRefereed-
local.type.specifiedResearch Report-
item.fullcitationKUIJPERS, Bart & Revesz, Peter Z. (2015) A Data Structure to Efficiently Answer Point Location Queries with Respect to a Line.-
item.contributorKUIJPERS, Bart-
item.contributorRevesz, Peter Z.-
item.fulltextWith Fulltext-
item.accessRightsClosed Access-
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