Near-optimal sublinear time algorithms for Ulam distance

Near-optimal sublinear time algorithms for Ulam distance
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Ulam 距离的近最优亚线性时间算法

DOI:
10.1137/1.9781611973075.8
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发表时间:
2010
期刊:
Applied Psychology Review
影响因子:
--
通讯作者:
Huy L. Nguyen
Huy L. Nguyen
中科院分区:
--
文献类型:
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作者:
Alexandr Andoni;Huy L. Nguyen

文献摘要

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我们给出了接近距离的边界,用于估计两个不变的词(ULAM距离)之间的编辑距离,并在两个长度d和编辑距离r的情况下以恒定的近似为单位,我们的算法在时间上运行( d/r +√d)并向R输出常数近似。我们还证明了匹配的下限(最多到对数项)。 [Andoni-Indyk-Krauthgamer,Soda'09]和[Batu-ergun-Kilian-Magen-Raskhodnikhodnikova-rubinfeld-sami,stoc'03]。
We give near-tight bounds for estimating the edit distance between two non-repetitive strings (Ulam distance) with constant approximation, in sub-linear time. For two strings of length d and at edit distance R, our algorithm runs in time Õ(d/R + √d) and outputs a constant approximation to R. We also prove a matching lower bound (up to logarithmic terms). Both upper and lower bounds are improvements over previous results from, respectively, [Andoni-Indyk-Krauthgamer, SODA'09] and [Batu-Ergun-Kilian-Magen-Raskhodnikova-Rubinfeld-Sami, STOC'03].