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dc.contributor.authorArge, Lars
dc.contributor.authorVitter, Jeffrey Scott
dc.date.accessioned2015-11-20T17:28:54Z
dc.date.available2015-11-20T17:28:54Z
dc.date.issued2012-02-17
dc.identifier.citationArge, Lars, and Jeffrey Scott Vitter. "Optimal External Memory Interval Management." SIAM J. Comput. SIAM Journal on Computing 32.6 (2003): 1488-508. DOI:10.1137/S009753970240481Xen_US
dc.identifier.urihttp://hdl.handle.net/1808/18954
dc.descriptionThis is the published version. Copyright © 2003 Society for Industrial and Applied Mathematicsen_US
dc.description.abstractIn this paper we present the external interval tree, an optimal external memory data structure for answering stabbing queries on a set of dynamically maintained intervals. The external interval tree can be used in an optimal solution to the dynamic interval management problem, which is a central problem for object-oriented and temporal databases and for constraint logic programming. Part of the structure uses a weight-balancing technique for efficient worst-case manipulation of balanced trees, which is of independent interest. The external interval tree, as well as our new balancing technique, have recently been used to develop several efficient external data structures.en_US
dc.publisherSociety for Industrial and Applied Mathematicsen_US
dc.subjectInterval managementen_US
dc.subjectStabbing queriesen_US
dc.subjectI/O efficienten_US
dc.subjectData structuresen_US
dc.titleOptimal External Memory Interval Managementen_US
dc.typeArticle
kusw.kuauthorVitter, Jeffrey Scott
kusw.kudepartmentElectrical Engr & Comp Scienceen_US
dc.identifier.doi10.1137/S009753970240481X
kusw.oaversionScholarly/refereed, publisher version
kusw.oapolicyThis item meets KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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