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dc.contributor.authorScheihing, R.
dc.contributor.authorNavarro, G.
dc.contributor.authorGavaldà Mestre, Ricard
dc.contributor.authorBaeza-Yates, R.
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2016-03-16T17:30:22Z
dc.date.available2016-03-16T17:30:22Z
dc.date.issued1998-09-01
dc.identifier.urihttp://hdl.handle.net/2117/84548
dc.description.abstractWe present improvements to two techniques to find lower and upper bounds for the expected length of longest common subsequences and forests of two random sequences of the same length, over a fixed size, uniformly distributed alphabet. We emphasize the power of the methods used, which are Markov chains and Kolmogorov complexity. As a corollary, we obtain some new lower and upper bounds for the problems addressed as well as some new exact results for short sequences.
dc.format.extent19 p.
dc.language.isoeng
dc.relation.ispartofseriesLSI-98-50-R
dc.subjectÀrees temàtiques de la UPC::Informàtica::Informàtica teòrica
dc.subject.otherBounds
dc.subject.otherExpected length
dc.subject.otherLongest common subsequence
dc.subject.otherLCS
dc.titleBounding the expected length of longest common subsequences and forests
dc.typeExternal research report
dc.rights.accessOpen Access
local.identifier.drac1893828
dc.description.versionPostprint (published version)
local.personalitzacitaciotrue


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