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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/298

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dc.contributor.authorAgarwal, Pankaj K.-
dc.contributor.authorSen, Sandeep-
dc.date.accessioned2005-06-08T13:46:30Z-
dc.date.available2005-06-08T13:46:30Z-
dc.date.issued1996-
dc.identifier.citationJournal of Algorithms, 20(3), 581-601en
dc.identifier.urihttp://eprint.iitd.ac.in/dspace/handle/2074/298-
dc.description.abstractAn m x n matrix A=(ai j),1,i,m and 1,j<n is called a totally motone matrix if for i1.i2.j1.j2satisfying1=i1.i2.m1=j1.j2.n ai1.ji1<ai1.j2=ai2j1<ai2.j2.We present an O ((m+n)nlogn time algorithm to select the kth smallest item from an m=n totally monotone matrix for any kFmn. This is the first subquadraticm algorithm for selecting an item from a totally monotone matrix. Our method also yields an algorithm of the same time complexity for a generalized 4 row-selection problem in monotone matrices. Given a set S= (p1 . . . .pn) of n points in convex position and a vector k= (k1 . . . . . kn) we also present an O(n4/3 logn) algorithm to compute the k th nearest neighbor of pi for every i <n: here c is an appropriate constant. This algorithm is considerably faster than the one based on a row-selection algorithm for monotone matrices. If the points of S are arbitrary, then the k th nearest neighbor of pi for all iFn, can be i<n can be computed in time O(n7/5 log n) which also improves upon the previously bestknown result.en
dc.format.extent451853 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.subjectmonotoneen
dc.subjectsubquadraticen
dc.subjectalgorithmen
dc.subjectrow-selectionen
dc.titleSelection in monotone matrices and computing kth nearest neighborsen
dc.typeArticleen
Appears in Collections:Computer Science and Engineering

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