B-slack Trees: Space Efficient B-Trees

dc.contributor.authorBrown, Trevor
dc.date.accessioned2026-10-20T20:12:55Z
dc.date.issued2014
dc.descriptionAccepted author manuscript of the SWAT 2014 paper, 12 pages. This peer-reviewed manuscript is not the Version of Record and excludes publisher production changes. The published edition is copyright 2014 Springer International Publishing Switzerland. Final authenticated version: https://doi.org/10.1007/978-3-319-08404-6_11. Use is subject to Springer Nature’s accepted-manuscript terms: https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms. Also includes the expanded 19-page manuscript, arXiv:1712.05020v2 (2017-12-15), which is not separately peer reviewed. PDFs unchanged; no new Creative Commons licence assigned.
dc.description.abstractB-slack trees, a subclass of B-trees that have substantially better worst-case space complexity, are introduced. They store n keys in height O(log_b n), where b is the maximum node degree. Updates can be performed in O(log_{b/2} n) amortized time. A relaxed balance version, which is well suited for concurrent implementation, is also presented.
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada (acknowledged in the expanded manuscript)
dc.identifier.urihttps://doi.org/10.1007/978-3-319-08404-6_11
dc.identifier.urihttps://hdl.handle.net/10012/24562
dc.language.isoen
dc.publisherSpringer International Publishing
dc.relation.ispartofseriesAlgorithm Theory – SWAT 2014, Lecture Notes in Computer Science; 8503
dc.subjectsearch trees
dc.titleB-slack Trees: Space Efficient B-Trees
dc.title.alternativeB-slack trees: Highly Space Efficient B-trees
dc.typeConference Paper
dcterms.bibliographicCitationTrevor Brown. 2014. B-slack Trees: Space Efficient B-Trees. In Algorithm Theory – SWAT 2014, Lecture Notes in Computer Science 8503, pp. 122–133. Springer International Publishing. https://doi.org/10.1007/978-3-319-08404-6_11
uws.contributor.affiliation1Faculty of Mathematics
uws.contributor.affiliation2David R. Cheriton School of Computer Science
uws.peerReviewStatusReviewed
uws.scholarLevelFaculty
uws.typeOfResourceTexten

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