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dc.contributor.authorBaeza-Yates, R.
dc.contributor.authorGabarró Vallès, Joaquim
dc.contributor.authorMesseguer Peypoch, Xavier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2016-12-14T13:19:12Z
dc.date.available2016-12-14T13:19:12Z
dc.date.issued1998-06-02
dc.identifier.urihttp://hdl.handle.net/2117/98213
dc.description.abstractWe are interested in the fringe analysis of synchronized parallel insertion algorithms on 2--3 trees, namely the algorithm of W. Paul, U. Vishkin and H. Wagener~(PVW). This algorithm inserts k keys into a tree of size n with parallel time O(log n+log k). Fringe analysis studies the distribution of the bottom subtrees and it is still an open problem for parallel algorithms on search trees. To tackle this problem we introduce a new kind of algorithms whose two extreme cases upper and lower bounds the performance of the PVW algorithm. We extend the fringe analysis to parallel algorithms and we get a rich mathematical structure giving new interpretations even in the sequential case. The process of insertions is modeled by a Markov chain and the coefficients of the transition matrix are related with the expected local behavior of our algorithm. Finally, we show that this matrix has a power expansion over (n+1)^{-1} where the coefficients are the binomial transform of the expected local behavior. This expansion shows that the parallel case can be approximated by iterating the sequential case.
dc.format.extent14 p.
dc.language.isoeng
dc.relation.ispartofseriesLSI-98-37-R
dc.subjectÀrees temàtiques de la UPC::Informàtica::Informàtica teòrica
dc.titleFringe analysis of synchronized parallel algorithms on 2--3 trees
dc.typeExternal research report
dc.contributor.groupUniversitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals
dc.contributor.groupUniversitat Politècnica de Catalunya. CEBIM - Centre de Biotecnologia Molecular
dc.rights.accessOpen Access
local.personalitzacitaciotrue


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