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The radius and diameter are fundamental graph parameters. They are defined as the minimum and maximum of the eccentricities in a graph, respectively, where the eccentricity of a vertex is the largest distance from the vertex to another…

数据结构与算法 · 计算机科学 2015-06-08 Amir Abboud , Virginia Vassilevska Williams , Joshua Wang

While algebrisation constitutes a powerful technique in the design and analysis of centralised algorithms, to date there have been hardly any applications of algebraic techniques in the context of distributed graph algorithms. This work is…

分布式、并行与集群计算 · 计算机科学 2015-03-19 Petteri Kaski , Janne H. Korhonen , Christoph Lenzen , Jukka Suomela

Given a simple weighted directed graph $G = (V, E, \omega)$ on $n$ vertices as well as two designated terminals $s, t\in V$, our goal is to compute the shortest path from $s$ to $t$ avoiding any pair of presumably failed edges $f_1, f_2\in…

数据结构与算法 · 计算机科学 2024-04-23 Shiri Chechik , Tianyi Zhang

Given a graph and a pair of terminals $s$, $t$, the next-to-shortest path problem asks for an $s\!\to \!t$ (simple) path that is shortest among all not shortest $s\!\to \!t$ paths (if one exists). This problem was introduced in 1996, and…

数据结构与算法 · 计算机科学 2025-11-07 Kuowen Chen , Nicole Wein , Yiran Zhang

We study the broadcast version of the CONGEST CLIQUE model of distributed computing. In this model, in each round, any node in a network of size $n$ can send the same message (i.e. broadcast a message) of limited size to every other node in…

分布式、并行与集群计算 · 计算机科学 2014-12-15 Stephan Holzer , Nathan Pinsker

In the decremental single-source shortest paths (SSSP) problem, the input is an undirected graph $G=(V,E)$ with $n$ vertices and $m$ edges undergoing edge deletions, together with a fixed source vertex $s\in V$. The goal is to maintain a…

数据结构与算法 · 计算机科学 2020-09-21 Julia Chuzhoy , Thatchaphol Saranurak

We consider the all pairs all shortest paths (APASP) problem, which maintains the shortest path dag rooted at every vertex in a directed graph G=(V,E) with positive edge weights. For this problem we present a decremental algorithm (that…

数据结构与算法 · 计算机科学 2014-11-18 Meghana Nasre , Matteo Pontecorvi , Vijaya Ramachandran

Various applications of graphs, in particular applications related to finding shortest paths, naturally get inputs with real weights on the edges. However, for algorithmic or visualization reasons, inputs with integer weights would often be…

计算复杂性 · 计算机科学 2019-05-22 Herman Haverkort , David Kübel , Elmar Langetepe

We develop new $(1+\epsilon)$-approximation algorithms for finding the global minimum edge-cut in a directed edge-weighted graph, and for finding the global minimum vertex-cut in a directed vertex-weighted graph. Our algorithms are…

数据结构与算法 · 计算机科学 2025-12-17 Ron Mosenzon

This paper considers a natural fault-tolerant shortest paths problem: for some constant integer $f$, given a directed weighted graph with no negative cycles and two fixed vertices $s$ and $t$, compute (either explicitly or implicitly) for…

数据结构与算法 · 计算机科学 2022-09-16 Virginia Vassilevska Williams , Eyob Woldeghebriel , Yinzhan Xu

We present a $+2\sum_{i=1}^{k+1}{W_i}$-APASP algorithm for dense weighted graphs with runtime $\tilde O\left(n^{2+\frac{1}{3k+2}}\right)$, where $W_{i}$ is the weight of an $i^{th}$ heaviest edge on a shortest path. Dor, Halperin and Zwick…

数据结构与算法 · 计算机科学 2026-02-17 Liam Roditty , Ariel Sapir

We study dynamic $(1+\epsilon)$-approximation algorithms for the all-pairs shortest paths problem in unweighted undirected $n$-node $m$-edge graphs under edge deletions. The fastest algorithm for this problem is a randomized algorithm with…

数据结构与算法 · 计算机科学 2018-03-02 Monika Henzinger , Sebastian Krinninger , Danupon Nanongkai

We study approximate distributed solutions to the weighted {\it all-pairs-shortest-paths} (APSP) problem in the CONGEST model. We obtain the following results. $1.$ A deterministic $(1+o(1))$-approximation to APSP in $\tilde{O}(n)$ rounds.…

分布式、并行与集群计算 · 计算机科学 2014-12-30 Christoph Lenzen , Boaz Patt-Shamir

In this paper, we show new data structures maintaining approximate shortest paths in sparse directed graphs with polynomially bounded non-negative edge weights under edge insertions. We give more efficient incremental…

数据结构与算法 · 计算机科学 2025-02-17 Adam Górkiewicz , Adam Karczmarz

Consider an undirected weighted graph $G = (V,E,w)$. We study the problem of computing $(1+\epsilon)$-approximate shortest paths for $S \times V$, for a subset $S \subseteq V$ of $|S| = n^r$ sources, for some $0 < r \le 1$. We devise a…

数据结构与算法 · 计算机科学 2021-02-15 Michael Elkin , Ofer Neiman

We revisit the problem of privately releasing the all-pairs shortest path distances of a weighted undirected graph up to low additive error, which was first studied by Sealfon [Sea16]. In this paper, we improve significantly on Sealfon's…

数据结构与算法 · 计算机科学 2022-04-06 Justin Y. Chen , Shyam Narayanan , Yinzhan Xu

The shortest path problem in graphs is fundamental to AI. Nearly all variants of the problem and relevant algorithms that solve them ignore edge-weight computation time and its common relation to weight uncertainty. This implies that taking…

数据结构与算法 · 计算机科学 2024-03-29 Eyal Weiss , Ariel Felner , Gal A. Kaminka

The single-source shortest path problem is a classical problem in the research field of graph algorithm. In this paper, a new single-source shortest path algorithm for nonnegative weight graph is proposed. The algorithm can compress…

数据结构与算法 · 计算机科学 2015-10-16 Yunpeng Li

In the decremental single-source shortest paths (SSSP) problem we want to maintain the distances between a given source node $s$ and every other node in an $n$-node $m$-edge graph $G$ undergoing edge deletions. While its static counterpart…

数据结构与算法 · 计算机科学 2018-08-20 Monika Henzinger , Sebastian Krinninger , Danupon Nanongkai

The Shoshan-Zwick algorithm solves the all pairs shortest paths problem in undirected graphs with integer edge costs in the range $\{1, 2, \dots, M\}$. It runs in $\tilde{O}(M\cdot n^{\omega})$ time, where $n$ is the number of vertices, $M$…

数据结构与算法 · 计算机科学 2016-03-30 Pavlos Eirinakis , Matthew Williamson , K. Subramani