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Additive Spanners and Distance Oracles in Quadratic Time

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arxiv 1704.04473 v1 pith:H6FWVHDA submitted 2017-04-14 cs.DS

classification cs.DS
keywords leftrightdistanceadditivetimenodesalgorithmspanner
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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 $O\!\left(n^2\right)$ time. This should be compared with the randomized Monte Carlo algorithm by Woodruff [ICALP 2010] giving an additive $6$-spanner with $O\!\left(n^{4/3}\log^3 n\right)$ edges in expected time $O\!\left(n^2\log^2 n\right)$. 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 $O\!\left(n^2\text{poly} \log n\right)$. 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 $O\!\left(n^2\right)$. This also implies an algorithm that in $O\!\left(n^2\right)$ gives approximate distance for all pairs of nodes in $G$ improving on the $O\!\left(n^2 \log n\right)$ algorithm by Baswana and Kavitha [SICOMP 2010].

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Approximate Single Source Dual Fault Tolerant Distance Oracle

    cs.DS 2026-07 reject novelty 7.5 of 10

    A new data structure answers approximate shortest-path queries from a fixed source after any two edges fail, using subquadratic space and near-constant query time; the correctness proof for the hardest case is incomplete.

  2. $\tilde{O}$ptimal Algorithm for 2-Approximate All Pair Shortest Paths -- almost

    cs.DS 2026-07 conditional novelty 6.0 of 10

    A randomized ~O(n^2)-time algorithm computes 2-approximate distances for all pairs at distance at least a constant (<=906), improving the previous O(log log n) guarantee.

  3. Improved 2-Approximate Shortest Paths for close vertex pairs

    cs.DS 2025-07 reject novelty 6.0 of 10

    The paper claims a new tradeoff for 2-approximate all-pairs shortest paths, but the proof has a critical gap in the sampling-based base case.

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