Constant-factor approximation of near-linear edit distance in near-linear time
Joshua Brakensiek, Aviad Rubinstein
Abstract
We show that the edit distance between two strings of length n can be computed within a factor of f ( ) in n 1+ time as long as the edit distance is at least n 1-δ for some δ( ) > 0. * We thank Clément Canonne, Ray Li, Seri Khoury, Barna Saha, and anonymous reviewers for valuable suggestions for the manuscript. † Stanford University, supported by the NSF GRFP ‡ Stanford University 1 More precisely, LCS is equivalent to edit distance computation without substitutions since EDno-subs(A, B) = 2n -LCS(A, B). For our purposes the question of whether we allow substitutions in the definition of edit distance is irrelevant since the two definitions are equivalent up to a multiplicative factor of 2.
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Install the CLIlune papers fulltext 0fda03a9-a8a9-4b91-9249-aa5367dad0a8Cited by top-tier papers18
- Edit Distance in Near-Linear Time: it's a Constant FactorAlexandr Andoni, Negev Shekel NosatzkiFOCS 2020 · 28 citations
- Reducing approximate Longest Common Subsequence to approximate Edit DistanceAviad Rubinstein, Zhao SongSODA 2020 · 24 citations
- Does preprocessing help in fast sequence comparisons?Elazar Goldenberg, Aviad Rubinstein, Barna SahaSTOC 2020 · 15 citations
- Sublinear-Time Algorithms for Computing & Embedding Gap Edit DistanceTomasz Kociumaka, Barna SahaFOCS 2020 · 9 citations
- Improved Algorithms for Edit Distance and LCS: Beyond Worst CaseMahdi Boroujeni, Masoud Seddighin, Saeed SeddighinSODA 2020 · 8 citations
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