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 194 tok/s
Gemini 2.5 Pro 47 tok/s Pro
GPT-5 Medium 36 tok/s Pro
GPT-5 High 36 tok/s Pro
GPT-4o 106 tok/s Pro
Kimi K2 183 tok/s Pro
GPT OSS 120B 458 tok/s Pro
Claude Sonnet 4.5 37 tok/s Pro
2000 character limit reached

Optimal searching of gapped repeats in a word (1509.01221v3)

Published 3 Sep 2015 in cs.FL

Abstract: Following (Kolpakov et al., 2013; Gawrychowski and Manea, 2015), we continue the study of {\em $\alpha$-gapped repeats} in strings, defined as factors $uvu$ with $|uv|\leq \alpha |u|$. Our main result is the $O(\alpha n)$ bound on the number of {\em maximal} $\alpha$-gapped repeats in a string of length $n$, previously proved to be $O(\alpha2 n)$ in (Kolpakov et al., 2013). For a closely related notion of maximal $\delta$-subrepetition (maximal factors of exponent between $1+\delta$ and $2$), our result implies the $O(n/\delta)$ bound on their number, which improves the bound of (Kolpakov et al., 2010) by a $\log n$ factor. We also prove an algorithmic time bound $O(\alpha n+S)$ ($S$ size of the output) for computing all maximal $\alpha$-gapped repeats. Our solution, inspired by (Gawrychowski and Manea, 2015), is different from the recently published proof by (Tanimura et al., 2015) of the same bound. Together with our bound on $S$, this implies an $O(\alpha n)$-time algorithm for computing all maximal $\alpha$-gapped repeats.

Citations (6)

Summary

We haven't generated a summary for 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.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube