Constant factor approximations to edit distance on far input pairs in nearly linear time
Michal Koucký, Michael E. Saks
2020年份
5被引次数
19顶会引用
摘要
For any T ≥ 1, there are constants R = R(T ) ≥ 1 and ζ = ζ(T ) > 0 and a randomized algorithm that takes as input an integer n and two strings x, y of length at most n, and runs in time O(n 1+ 1 T ) and outputs an upper bound U on the edit distance of d edit (x, y) that with high probability, satisfies U ≤ R(d edit (x, y) + n 1-ζ ). In particular, on any input with d edit (x, y) ≥ n 1-ζ the algorithm outputs a constant factor approximation with high probability. A similar result has been proven independently by Brakensiek and Rubinstein [14].
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引用它的顶会 Paper19
- Edit Distance in Near-Linear Time: it's a Constant FactorAlexandr Andoni, Negev Shekel NosatzkiFOCS 2020 · 被引用 28 次
- Reducing approximate Longest Common Subsequence to approximate Edit DistanceAviad Rubinstein, Zhao SongSODA 2020 · 被引用 24 次
- Does preprocessing help in fast sequence comparisons?Elazar Goldenberg, Aviad Rubinstein, Barna SahaSTOC 2020 · 被引用 15 次
- Sublinear-Time Algorithms for Computing & Embedding Gap Edit DistanceTomasz Kociumaka, Barna SahaFOCS 2020 · 被引用 9 次
- Improved Algorithms for Edit Distance and LCS: Beyond Worst CaseMahdi Boroujeni, Masoud Seddighin, Saeed SeddighinSODA 2020 · 被引用 8 次
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