Minimal mergesort.

dc.contributor.authorTakaoka, Tadao
dc.date.accessioned2014-10-06T01:50:42Z
dc.date.available2014-10-06T01:50:42Z
dc.date.issued1997en
dc.description.abstractWe present a new adaptive sorting algorithm, called minimal merge sort, which merges the ascending runs in the input list from shorter to longer, that is, merging the shortest two lists each time. We show that this algorithm is optimal with respect to the new measure of presortedness, called entropy.en
dc.identifier.otherTR-COSC 01/97en
dc.identifier.urihttp://hdl.handle.net/10092/9676
dc.language.isoen
dc.publisherUniversity of Canterbury. Computer Science and Software Engineeringen
dc.relation.isreferencedbyNZCUen
dc.rightsCopyright Tadao Takaokaen
dc.rights.urihttps://canterbury.libguides.com/rights/thesesen
dc.subjectadaptivesorten
dc.subjectminimal mergesorten
dc.subjectascending runsen
dc.subjectentropyen
dc.subject.anzsrcField of Research::08 - Information and Computing Sciences::0802 - Computation Theory and Mathematics::080201 - Analysis of Algorithms and Complexityen
dc.titleMinimal mergesort.en
dc.typeReports
uc.collegeFaculty of Engineeringen
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