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Spanners are fundamental graph structures that sparsify graphs at the cost of small stretch. In particular, in recent years, many sequential algorithms constructing additive all-pairs spanners were designed, providing very sparse…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-03 Keren Censor-Hillel , Ami Paz , Noam Ravid

Given an undirected $n$-node unweighted graph $G = (V, E)$, a spanner with stretch function $f(\cdot)$ is a subgraph $H\subseteq G$ such that, if two nodes are at distance $d$ in $G$, then they are at distance at most $f(d)$ in $H$.…

Data Structures and Algorithms · Computer Science 2013-01-11 Marek Cygan , Fabrizio Grandoni , Telikepalli Kavitha

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…

Data Structures and Algorithms · Computer Science 2021-11-22 Greg Bodwin , Michael Dinitz , Yasamin Nazari

A natural requirement of many distributed structures is fault-tolerance: after some failures, whatever remains from the structure should still be effective for whatever remains from the network. In this paper we examine spanners of general…

Data Structures and Algorithms · Computer Science 2011-02-01 Michael Dinitz , Robert Krauthgamer

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.…

Data Structures and Algorithms · Computer Science 2021-03-02 Michael Elkin , Yuval Gitlitz , Ofer Neiman

There has recently been significant interest in fault tolerant spanners, which are spanners that still maintain their stretch guarantees after some nodes or edges fail. This work has culminated in an almost complete understanding of the…

Data Structures and Algorithms · Computer Science 2025-04-28 Greg Bodwin , Michael Dinitz , Ama Koranteng , Lily Wang

We introduce and investigate a new notion of resilience in graph spanners. Let $S$ be a spanner of a graph $G$. Roughly speaking, we say that a spanner $S$ is resilient if all its point-to-point distances are resilient to edge failures.…

Data Structures and Algorithms · Computer Science 2014-05-30 G. Ausiello , P. G. Franciosa , G. F. Italiano , A. Ribichini

We initiate the study of spanners in arbitrarily vertex- or edge-colored graphs (with no "legality" restrictions), that are resilient to failures of entire color classes. When a color fails, all vertices/edges of that color crash. An…

Data Structures and Algorithms · Computer Science 2023-11-16 Asaf Petruschka , Shay Sapir , Elad Tzalik

Let $G=(V,E)$ be an $n$-nodes non-negatively real-weighted undirected graph. In this paper we show how to enrich a {\em single-source shortest-path tree} (SPT) of $G$ with a \emph{sparse} set of \emph{auxiliary} edges selected from $E$, in…

Data Structures and Algorithms · Computer Science 2015-07-08 Annalisa D'Andrea , Mattia D'Emidio , Daniele Frigioni , Stefano Leucci , Guido Proietti

Near-additive (aka $(1+\epsilon,\beta)$-) emulators and spanners are a fundamental graph-algorithmic construct, with numerous applications for computing approximate shortest paths and related problems in distributed, streaming and dynamic…

Data Structures and Algorithms · Computer Science 2021-06-03 Michael Elkin , Shaked Matar

A spanner is a sparse subgraph that approximately preserves the pairwise distances of the original graph. It is well known that there is a smooth tradeoff between the sparsity of a spanner and the quality of its approximation, so long as…

Data Structures and Algorithms · Computer Science 2020-05-12 Amir Abboud , Greg Bodwin

An $(\alpha,\beta)$-spanner of an $n$-vertex graph $G=(V,E)$ is a subgraph $H$ of $G$ satisfying that $dist(u, v, H) \leq \alpha \cdot dist(u, v, G)+\beta$ for every pair $(u, v)\in V \times V$, where $dist(u,v,G')$ denotes the distance…

Data Structures and Algorithms · Computer Science 2014-04-29 Merav Parter

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…

Data Structures and Algorithms · Computer Science 2024-04-30 Greg Bodwin , Gary Hoppenworth , Virginia Vassilevska Williams , Nicole Wein , Zixuan Xu

We consider additive spanners of unweighted undirected graphs. Let $G$ be a graph and $H$ a subgraph of $G$. The most na\"ive way to construct an additive $k$-spanner of $G$ is the following: As long as $H$ is not an additive $k$-spanner…

Data Structures and Algorithms · Computer Science 2014-11-25 Mathias Bæk Tejs Knudsen

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…

Data Structures and Algorithms · Computer Science 2025-10-21 Chuhan Qi

A multiplicative $\alpha$-spanner $H$ is a subgraph of $G=(V,E)$ with the same vertices and fewer edges that preserves distances up to the factor $\alpha$, i.e., $d_H(u,v)\leq\alpha\cdot d_G(u,v)$ for all vertices $u$, $v$. While many…

Data Structures and Algorithms · Computer Science 2021-07-06 Markus Chimani , Finn Stutzenstein

For a positive integer $t$ and a graph $G$, an additive $t$-spanner of $G$ is a spanning subgraph in which the distance between every pair of vertices is at most the original distance plus $t$. Minimum Additive $t$-Spanner Problem is to…

Data Structures and Algorithms · Computer Science 2019-03-05 Yusuke Kobayashi

The resiliency of a network is its ability to remain \emph{effectively} functioning also when any of its nodes or links fails. However, to reduce operational and set-up costs, a network should be small in size, and this conflicts with the…

Data Structures and Algorithms · Computer Science 2016-11-07 Davide Bilò , Luciano Gualà , Stefano Leucci , Guido Proietti

The diameter of a graph is one if its most important parameters, being used in many real-word applications. In particular, the diameter dictates how fast information can spread throughout data and communication networks. Thus, it is a…

Data Structures and Algorithms · Computer Science 2019-02-21 Keerti Choudhary , Omer Gold

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…

Data Structures and Algorithms · Computer Science 2017-01-11 Amir Abboud , Greg Bodwin , Seth Pettie