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相关论文: Ultra-Sparse Near-Additive Emulators

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Given parameters $\alpha\geq 1,\beta\geq 0$, a subgraph $G'=(V,H)$ of an $n$-vertex unweighted undirected graph $G=(V,E)$ is called an $(\alpha,\beta)$-spanner if for every pair $u,v\in V$ of vertices, $d_{G'}(u,v)\leq \alpha…

分布式、并行与集群计算 · 计算机科学 2019-03-05 Michael Elkin , Shaked Matar

Miller et al. \cite{MPVX15} devised a distributed\footnote{They actually showed a PRAM algorithm. The distributed algorithm with these properties is implicit in \cite{MPVX15}.} algorithm in the CONGEST model, that given a parameter $k =…

数据结构与算法 · 计算机科学 2017-02-07 Michael Elkin , Ofer Neiman

Maintaining and updating shortest paths information in a graph is a fundamental problem with many applications. As computations on dense graphs can be prohibitively expensive, and it is preferable to perform the computations on a sparse…

We obtain improved lower bounds for additive spanners, additive emulators, and diameter-reducing shortcut sets. Spanners and emulators are sparse graphs that approximately preserve the distances of a given graph. A shortcut set is a set of…

数据结构与算法 · 计算机科学 2023-09-27 Kevin Lu , Virginia Vassilevska Williams , Nicole Wein , Zixuan Xu

An $(\alpha,\beta)$-spanner of a weighted graph $G=(V,E)$, is a subgraph $H$ such that for every $u,v\in V$, $d_G(u,v) \le d_H(u,v)\le\alpha\cdot d_G(u,v)+\beta$. The main parameters of interest for spanners are their size (number of edges)…

数据结构与算法 · 计算机科学 2024-11-01 Yuval Gitlitz , Ofer Neiman , Richard Spence

Given an {\em unweighted} undirected graph $G = (V,E)$, and a pair of parameters $\epsilon > 0$, $\beta = 1,2,\ldots$, a subgraph $G' =(V,H)$, $H \subseteq E$, of $G$ is a {\em $(1+\epsilon,\beta)$-spanner} (aka, a {\em near-additive…

数据结构与算法 · 计算机科学 2020-01-22 Michael Elkin , Ofer Neiman

Graph spanners and emulators are sparse structures that approximately preserve distances of the original graph. While there has been an extensive amount of work on additive spanners, so far little attention was given to weighted graphs.…

数据结构与算法 · 计算机科学 2021-03-02 Michael Elkin , Yuval Gitlitz , Ofer Neiman

We construct $n$-node graphs on which any $O(n)$-size spanner has additive error at least $+\Omega(n^{3/17})$, improving on the previous best lower bound of $\Omega(n^{1/7})$ [Bodwin-Hoppenworth FOCS '22]. Our construction completes the…

数据结构与算法 · 计算机科学 2024-04-30 Greg Bodwin , Gary Hoppenworth , Virginia Vassilevska Williams , Nicole Wein , Zixuan Xu

Spanners, emulators, and approximate distance oracles can be viewed as lossy compression schemes that represent an unweighted graph metric in small space, say $\tilde{O}(n^{1+\delta})$ bits. There is an inherent tradeoff between the…

数据结构与算法 · 计算机科学 2017-01-11 Amir Abboud , Greg Bodwin , Seth Pettie

A $(\beta,\epsilon)$-$\textit{hopset}$ is, informally, a weighted edge set that, when added to a graph, allows one to get from point $a$ to point $b$ using a path with at most $\beta$ edges ("hops") and length…

数据结构与算法 · 计算机科学 2017-05-02 Shang-En Huang , Seth Pettie

We study two popular ways to sketch the shortest path distances of an input graph. The first is distance preservers, which are sparse subgraphs that agree with the distances of the original graph on a given set of demand pairs. Prior work…

数据结构与算法 · 计算机科学 2021-06-08 Greg Bodwin , Virginia Vassilevska Williams

Additive spanners are fundamental graph structures with wide applications in network design, graph sparsification, and distance approximation. In particular, a $4$-additive spanner is a subgraph that preserves all pairwise distances up to…

数据结构与算法 · 计算机科学 2025-10-21 Chuhan Qi

Let $G$ be an unweighted $n$-node undirected graph. A \emph{$\beta$-additive spanner} of $G$ is a spanning subgraph $H$ of $G$ such that distances in $H$ are stretched at most by an additive term $\beta$ w.r.t. the corresponding distances…

数据结构与算法 · 计算机科学 2015-07-03 Davide Bilò , Fabrizio Grandoni , Luciano Gualà , Stefano Leucci , Guido Proietti

Given a graph $G = (V,E)$, a subgraph $H$ is an \emph{additive $+\beta$ spanner} if $\dist_H(u,v) \le \dist_G(u,v) + \beta$ for all $u, v \in V$. A \emph{pairwise spanner} is a spanner for which the above inequality only must hold for…

离散数学 · 计算机科学 2021-03-31 Reyan Ahmed , Greg Bodwin , Faryad Darabi Sahneh , Keaton Hamm , Stephen Kobourov , Richard Spence

A $k$-spanner of a graph $G$ is a sparse subgraph that preserves its shortest path distances up to a multiplicative stretch factor of $k$, and a $k$-emulator is similar but not required to be a subgraph of $G$. A classic theorem by Thorup…

数据结构与算法 · 计算机科学 2021-11-22 Greg Bodwin , Michael Dinitz , Yasamin Nazari

Let $P$ be a set of $n$ points in $\mathbb{R}^d$, and let $\varepsilon,\psi \in (0,1)$ be parameters. Here, we consider the task of constructing a $(1+\varepsilon)$-spanner for $P$, where every edge might fail (independently) with…

计算几何 · 计算机科学 2025-02-19 Sariel Har-Peled , Maria C. Lusardi

We prove better lower bounds on additive spanners and emulators, which are lossy compression schemes for undirected graphs, as well as lower bounds on shortcut sets, which reduce the diameter of directed graphs. We show that any $O(n)$-size…

数据结构与算法 · 计算机科学 2019-07-23 Shang-En Huang , Seth Pettie

Given an input graph $G = (V, E)$, an additive emulator $H = (V, E', w)$ is a sparse weighted graph that preserves all distances in $G$ with small additive error. A recent line of inquiry has sought to determine the best additive error…

数据结构与算法 · 计算机科学 2024-01-09 Gary Hoppenworth

Computing approximate shortest paths in the dynamic streaming setting is a fundamental challenge that has been intensively studied during the last decade. Currently existing solutions for this problem either build a sparse multiplicative…

数据结构与算法 · 计算机科学 2022-07-12 Michael Elkin , Chhaya Trehan

For an input graph $G$, an additive spanner is a sparse subgraph $H$ whose shortest paths match those of $G$ up to small additive error. We prove two new lower bounds in the area of additive spanners: 1) We construct $n$-node graphs $G$ for…

数据结构与算法 · 计算机科学 2022-10-07 Greg Bodwin , Gary Hoppenworth
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