Fast Algorithms for the Density Finding Problem View Full Text


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Article Info

DATE

2007-09-14

AUTHORS

D. T. Lee, Tien-Ching Lin, Hsueh-I Lu

ABSTRACT

We study the problem of finding a specific density subsequence of a sequence arising from the analysis of biomolecular sequences. Given a sequence A=(a1,w1),(a2,w2),…,(an,wn) of n ordered pairs (ai,wi) of numbers ai and width wi>0 for each 1≤i≤n, two nonnegative numbers ℓ, u with ℓ≤u and a number δ, the Density Finding Problem is to find the consecutive subsequence A(i*,j*) over all O(n2) consecutive subsequences A(i,j) with width constraint satisfying ℓ≤w(i,j)=∑r=ijwr≤u such that its density \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$d(i^{*},j^{*})=\sum_{r=i^{*}}^{j*}a_{r}/w(i^{*},j^{*})$\end{document} is closest to δ. The extensively studied Maximum-Density Segment Problem is a special case of the Density Finding Problem with δ=∞. We show that the Density Finding Problem has a lower bound Ω(nlog n) in the algebraic decision tree model of computation. We give an algorithm for the Density Finding Problem that runs in optimal O(nlog n) time and O(nlog n) space for the case when there is no upper bound on the width of the sequence, i.e., u=w(1,n). For the general case, we give an algorithm that runs in O(nlog 2m) time and O(n+mlog m) space, where \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$m=\min\{\lfloor\frac{u-\ell}{w_{\mathrm{min}}}\rfloor,n\}$\end{document} and wmin=min r=1nwr. As a byproduct, we give another O(n) time and space algorithm for the Maximum-Density Segment Problem. More... »

PAGES

298-313

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00453-007-9023-8

DOI

http://dx.doi.org/10.1007/s00453-007-9023-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1026897642


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