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 145 tok/s
Gemini 2.5 Pro 40 tok/s Pro
GPT-5 Medium 22 tok/s Pro
GPT-5 High 23 tok/s Pro
GPT-4o 107 tok/s Pro
Kimi K2 195 tok/s Pro
GPT OSS 120B 446 tok/s Pro
Claude Sonnet 4.5 36 tok/s Pro
2000 character limit reached

Additive Spanners and Distance Oracles in Quadratic Time (1704.04473v1)

Published 14 Apr 2017 in cs.DS

Abstract: Let $G$ be an unweighted, undirected graph. An additive $k$-spanner of $G$ is a subgraph $H$ that approximates all distances between pairs of nodes up to an additive error of $+k$, that is, it satisfies $d_H(u,v) \le d_G(u,v)+k$ for all nodes $u,v$, where $d$ is the shortest path distance. We give a deterministic algorithm that constructs an additive $O!\left(1\right)$-spanner with $O!\left(n{4/3}\right)$ edges in $O!\left(n2\right)$ time. This should be compared with the randomized Monte Carlo algorithm by Woodruff [ICALP 2010] giving an additive $6$-spanner with $O!\left(n{4/3}\log3 n\right)$ edges in expected time $O!\left(n2\log2 n\right)$. An $(\alpha,\beta)$-approximate distance oracle for $G$ is a data structure that supports the following distance queries between pairs of nodes in $G$. Given two nodes $u$, $v$ it can in constant time compute a distance estimate $\tilde{d}$ that satisfies $d \le \tilde{d} \le \alpha d + \beta$ where $d$ is the distance between $u$ and $v$ in $G$. Sommer [ICALP 2016] gave a randomized Monte Carlo $(2,1)$-distance oracle of size $O!\left(n{5/3}\text{poly} \log n\right)$ in expected time $O!\left(n2\text{poly} \log n\right)$. As an application of the additive $O(1)$-spanner we improve the construction by Sommer [ICALP 2016] and give a Las Vegas $(2,1)$-distance oracle of size $O!\left(n{5/3}\right)$ in time $O!\left(n2\right)$. This also implies an algorithm that in $O!\left(n2\right)$ gives approximate distance for all pairs of nodes in $G$ improving on the $O!\left(n2 \log n\right)$ algorithm by Baswana and Kavitha [SICOMP 2010].

Citations (16)

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.