Polylogarithmic Approximation for Edit Distance and the Asymmetric Query Complexity

被引:0
|
作者
Andoni, Alexandr [1 ]
Krauthgamer, Robert [2 ]
Onak, Krzysztof [3 ]
机构
[1] Princeton Univ, CCI, Princeton, NJ 08544 USA
[2] Weizmann Inst Sci, Rehovot, Israel
[3] MIT, Cambridge, MA 02139 USA
基金
以色列科学基金会; 美国国家科学基金会;
关键词
edit distance; sampling; query complexity;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We present a near-linear time algorithm that approximates the edit distance between two strings within a polylogarithmic factor. More precisely, for strings of length n and every fixed epsilon > 0, it can compute a (log n)(O(1/epsilon))-approximation in n(1+epsilon) time. This result arises naturally in the study of a new asymmetric query model. In this model, the input consists of two strings x and y, and an algorithm can access y in an unrestricted manner, while being charged for querying every symbol of x. Our query lower bound for this model provides the first rigorous separation between edit distance and Ulam distance, which is edit distance on non-repetitive strings, i.e., permutations.
引用
收藏
页码:244 / +
页数:3
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