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Optimal Randomized Algorithm for the Density Selection Problem.

Authors :
Lin, Tien-Ching
Lee, D. T.
Source :
Algorithms & Computation (9783642106309); 2009, p1004-1013, 10p
Publication Year :
2009

Abstract

In the paper we consider a generalized version of three well-known problems: Selection Problem in computer science, Slope Selection Problem in computational geometry and Maximum-Density Segment Problem in bioinformatics. Given a sequence A = (a<subscript>1</subscript>, w<subscript>1</subscript>),(a<subscript>2</subscript>, w<subscript>2</subscript>) ,..., (a<subscript>n</subscript>, w<subscript>n</subscript>) of n ordered pairs (a<subscript>i</subscript>,w<subscript>i</subscript>) of real numbers a<subscript>i</subscript> and w<subscript>i</subscript> > 0 for each 1 ≤ i ≤ n, two nonnegative real numbers ℓ, u with ℓ ≤ u and a positive integer k, the Density Selection Problem is to find the consecutive subsequence A(i<superscript>*</superscript>,j<superscript>*</superscript>) over all O(n<superscript>2</superscript>) consecutive subsequences A(i,j) satisfying width constraint ]> such that the rank of its density ]> is k. We will give a randomized algorithm for density selection problem that runs in optimal expected O(n logn) time. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783642106309
Database :
Complementary Index
Journal :
Algorithms & Computation (9783642106309)
Publication Type :
Book
Accession number :
76742444
Full Text :
https://doi.org/10.1007/978-3-642-10631-6_101