An Improved Sketching Bound for Edit Distance

10/25/2020
by   Ce Jin, et al.
0

We provide improved upper bounds for the simultaneous sketching complexity of edit distance. Consider two parties, Alice with input x∈Σ^n and Bob with input y∈Σ^n, that share public randomness and are given a promise that the edit distance 𝖾𝖽(x,y) between their two strings is at most some given value k. Alice must send a message sx and Bob must send sy to a third party Charlie, who does not know the inputs but shares the same public randomness and also knows k. Charlie must output 𝖾𝖽(x,y) precisely as well as a sequence of 𝖾𝖽(x,y) edits required to transform x into y. The goal is to minimize the lengths |sx|, |sy| of the messages sent. The protocol of Belazzougui and Zhang (FOCS 2016), building upon the random walk method of Chakraborty, Goldenberg, and Koucký (STOC 2016), achieves a maximum message length of Õ(k^8) bits, where Õ(·) hides poly(log n) factors. In this work we build upon Belazzougui and Zhang's protocol and provide an improved analysis demonstrating that a slight modification of their construction achieves a bound of Õ(k^3).

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/03/2021

An Improved Algorithm for The k-Dyck Edit Distance Problem

A Dyck sequence is a sequence of opening and closing parentheses (of var...
research
11/25/2019

Faster Privacy-Preserving Computation of Edit Distance with Moves

We consider an efficient two-party protocol for securely computing the s...
research
08/20/2021

Does Preprocessing help in Fast Sequence Comparisons?

We study edit distance computation with preprocessing: the preprocessing...
research
05/11/2023

Optimal Algorithms for Bounded Weighted Edit Distance

The edit distance of two strings is the minimum number of insertions, de...
research
11/24/2021

Gap Edit Distance via Non-Adaptive Queries: Simple and Optimal

We study the problem of approximating edit distance in sublinear time. T...
research
04/26/2018

On Estimating Edit Distance: Alignment, Dimension Reduction, and Embeddings

Edit distance is a fundamental measure of distance between strings and h...
research
11/13/2022

Bounds and Estimates on the Average Edit Distance

The edit distance is a metric of dissimilarity between strings, widely a...

Please sign up or login with your details

Forgot password? Click here to reset