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We present improved deterministic algorithms for approximating shortest paths in the Congested Clique model of distributed computing. We obtain $poly(\log\log n)$-round algorithms for the following problems in unweighted undirected…

数据结构与算法 · 计算机科学 2020-03-09 Michal Dory , Merav Parter

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…

数据结构与算法 · 计算机科学 2021-06-03 Michael Elkin , Shaked Matar

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

We introduce stronger notions for approximate single-source shortest-path distances, show how to efficiently compute them from weaker standard notions, and demonstrate the algorithmic power of these new notions and transformations. One…

数据结构与算法 · 计算机科学 2022-11-01 Václav Rozhoň , Bernhard Haeupler , Anders Martinsson , Christoph Grunau , Goran Zuzic

The distributed single-source shortest paths problem is one of the most fundamental and central problems in the message-passing distributed computing. Classical Bellman-Ford algorithm solves it in $O(n)$ time, where $n$ is the number of…

数据结构与算法 · 计算机科学 2017-05-02 Michael Elkin

We consider the problem of computing shortest paths in hybrid networks, in which nodes can make use of different communication modes. For example, mobile phones may use ad-hoc connections via Bluetooth or Wi-Fi in addition to the cellular…

分布式、并行与集群计算 · 计算机科学 2020-11-24 Michael Feldmann , Kristian Hinnenthal , Christian Scheideler

For many popular graph metric sparsifiers, such as spanners, emulators, and preservers, simple and elegant greedy algorithms are known that achieve state-of-the-art or existentially optimal tradeoffs between size and quality. The goal of…

数据结构与算法 · 计算机科学 2026-04-28 Ben Bals , Joakim Blikstad , Greg Bodwin , Daniel Dadush , Sebastian Forster , Yasamin Nazari

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

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

We study distance preservers, hopsets, and shortcut sets in $n$-node, $m$-edge directed graphs, and show improved bounds and new reductions for various settings of these problems. Our first set of results is about exact and approximate…

数据结构与算法 · 计算机科学 2025-04-17 Gary Hoppenworth , Yinzhan Xu , Zixuan Xu

We present a randomized algorithm for the single-source shortest paths (SSSP) problem on directed graphs with arbitrary real-valued edge weights that runs in $n^{2+o(1)}$ time with high probability. This result yields the first almost…

数据结构与算法 · 计算机科学 2026-02-19 Sanjeev Khanna , Junkai Song

We study a $(1+\epsilon)$-approximate single-source shortest paths (henceforth, $(1+\epsilon)$-SSSP) in $n$-vertex undirected, weighted graphs in the parallel (PRAM) model of computation. A randomized algorithm with polylogarithmic time and…

分布式、并行与集群计算 · 计算机科学 2020-10-01 Elkin Michael , Matar Shaked

In the semi-streaming model, an algorithm must process any $n$-vertex graph by making one or few passes over a stream of its edges, use $O(n \cdot \text{polylog }n)$ words of space, and at the end of the last pass, output a solution to the…

数据结构与算法 · 计算机科学 2025-10-23 Sepehr Assadi , Gary Hoppenworth , Janani Sundaresan

The $\mathsf{HYBRID}$ model, introduced in [Augustine et al., SODA '20], provides a theoretical foundation for networks that allow multiple communication modes. The model follows the principles of synchronous message passing, whereas nodes…

分布式、并行与集群计算 · 计算机科学 2020-10-05 Fabian Kuhn , Philipp Schneider

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

We consider the problem of computing all pairs shortest paths (APSP) and shortest paths for k sources in a weighted graph in the distributed CONGEST model. For graphs with non-negative integer edge weights (including zero weights) we build…

数据结构与算法 · 计算机科学 2018-10-22 Udit Agarwal , Vijaya Ramachandran

Let $G=(V,E,w)$ be a weighted directed graph without negative cycles. For two vertices $s,t\in V$, we let $d_{\le h}(s,t)$ be the minimum, according to the weight function $w$, of a path from $s$ to $t$ that uses at most $h$ edges, or hops.…

数据结构与算法 · 计算机科学 2024-11-01 Virginia Vassilevska Williams , Zoe Xi , Yinzhan Xu , Uri Zwick

We present a new deterministic algorithm for distributed weighted all pairs shortest paths (APSP) in both undirected and directed graphs. Our algorithm runs in $\tilde{O}(n^{4/3})$ rounds in the Congest models on graphs with arbitrary edge…

数据结构与算法 · 计算机科学 2020-05-20 Udit Agarwal , Vijaya Ramachandran

The Constraint Shortest Path (CSP) problem is as follows. An $n$-vertex graph is given, each edge/arc assigned two weights. Let us call them "cost" and "length" for definiteness. Finding a min-cost upper-bounded length path between a given…

数据结构与算法 · 计算机科学 2022-04-12 Adil Erzin , Roman Plotnikov , Ilya Ladygin

A long series of recent results and breakthroughs have led to faster and better distributed approximation algorithms for single source shortest paths (SSSP) and related problems in the CONGEST model. The runtime of all these algorithms,…

数据结构与算法 · 计算机科学 2018-08-09 Bernhard Haeupler , Jason Li