Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 162 tok/s
Gemini 2.5 Pro 51 tok/s Pro
GPT-5 Medium 31 tok/s Pro
GPT-5 High 28 tok/s Pro
GPT-4o 95 tok/s Pro
Kimi K2 202 tok/s Pro
GPT OSS 120B 425 tok/s Pro
Claude Sonnet 4.5 36 tok/s Pro
2000 character limit reached

Approximating Edit Distance Within Constant Factor in Truly Sub-Quadratic Time (1810.03664v2)

Published 8 Oct 2018 in cs.DS

Abstract: Edit distance is a measure of similarity of two strings based on the minimum number of character insertions, deletions, and substitutions required to transform one string into the other. The edit distance can be computed exactly using a dynamic programming algorithm that runs in quadratic time. Andoni, Krauthgamer, and Onak (2010) gave a nearly linear time algorithm that approximates edit distance within an approximation factor $\text{poly}(\log n)$. In this paper, we provide an algorithm with running time $\tilde{O}(n{2-2/7})$ that approximates the edit distance within a constant factor.

Citations (86)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.