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We describe a new forward-backward variant of Dijkstra's and Spira's Single-Source Shortest Paths (SSSP) algorithms. While essentially all SSSP algorithm only scan edges forward, the new algorithm scans some edges backward. The new…

数据结构与算法 · 计算机科学 2014-05-30 David B. Wilson , Uri Zwick

We consider the fundamental algorithmic problem of finding a cycle of minimum weight in a weighted graph. In particular, we show that the minimum weight cycle problem in an undirected n-node graph with edge weights in {1,...,M} or in a…

数据结构与算法 · 计算机科学 2011-04-15 Liam Roditty , Virginia Vassilevska Williams

We describe an algorithm that takes as input n points in the plane and a parameter {\epsilon}, and produces as output an embedded planar graph having the given points as a subset of its vertices in which the graph distances are a (1 +…

计算几何 · 计算机科学 2016-03-22 Glencora Borradaile , David Eppstein

Graph sketching is a powerful paradigm for analyzing graph structure via linear measurements introduced by Ahn, Guha, and McGregor (SODA'12) that has since found numerous applications in streaming, distributed computing, and massively…

数据结构与算法 · 计算机科学 2022-09-30 Sepehr Assadi , Michael Kapralov , Huacheng Yu

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

Orthogonal drawings, i.e., embeddings of graphs into grids, are a classic topic in Graph Drawing. Often the goal is to find a drawing that minimizes the number of bends on the edges. A key ingredient for bend minimization algorithms is the…

计算几何 · 计算机科学 2019-03-13 Benjamin Niedermann , Ignaz Rutter , Matthias Wolf

In this paper, we present enumeration algorithms to list all preferred extensions of an argumentation framework. This task is equivalent to enumerating all maximal semikernels of a directed graph. For directed graphs on $n$ vertices, all…

数据结构与算法 · 计算机科学 2019-07-03 Serge Gaspers , Ray Li

We consider the problem of approximating the girth, $g$, of an unweighted and undirected graph $G=(V,E)$ with $n$ nodes and $m$ edges. A seminal result of Itai and Rodeh [SICOMP'78] gave an additive $1$-approximation in $O(n^2)$ time, and…

数据结构与算法 · 计算机科学 2017-04-10 Søren Dahlgaard , Mathias Bæk Tejs Knudsen , Morten Stöckel

Given a distributed network represented by a weighted undirected graph $G=(V,E)$ on $n$ vertices, and a parameter $k$, we devise a distributed algorithm that computes a routing scheme in $(n^{1/2+1/k}+D)\cdot n^{o(1)}$ rounds, where $D$ is…

分布式、并行与集群计算 · 计算机科学 2016-11-22 Michael Elkin , Ofer Neiman

A spanner is a sparse subgraph of a given graph $G$ which preserves distances, measured w.r.t.\ some distance metric, up to a multiplicative stretch factor. This paper addresses the problem of constructing graph spanners w.r.t.\ the group…

数据结构与算法 · 计算机科学 2024-07-02 Davide Bilò , Luciano Gualà , Stefano Leucci , Alessandro Straziota

We study the 2-Disjoint Shortest Paths (2-DSP) problem: given a directed weighted graph and two terminal pairs $(s_1,t_1)$ and $(s_2,t_2)$, decide whether there exist vertex-disjoint shortest paths between each pair. Building on recent…

数据结构与算法 · 计算机科学 2025-10-09 Keerti Choudhary , Amit Kumar , Lakshay Saggi

The input to the Multiway Cut problem is a weighted undirected graph, with nonnegative edge weights, and $k$ designated terminals. The goal is to partition the vertices of the graph into $k$ parts, each containing exactly one of the…

数据结构与算法 · 计算机科学 2026-03-31 Joshua Brakensiek , Neng Huang , Aaron Potechin , Uri Zwick

We present a simple greedy procedure to compute an $(\alpha,\beta)$-spanner for a graph $G$. We then show that this procedure is useful for building fault-tolerant spanners, as well as spanners for weighted graphs. Our first main result is…

数据结构与算法 · 计算机科学 2026-03-19 Elizaveta Popova , Elad Tzalik

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

We present faster algorithms for approximate maximum flow in undirected graphs with good separator structures, such as bounded genus, minor free, and geometric graphs. Given such a graph with $n$ vertices, $m$ edges along with a recursive…

数据结构与算法 · 计算机科学 2012-10-19 Gary Miller , Richard Peng

We study the problem of efficiently approximating the \textit{effective resistance} (ER) on undirected graphs, where ER is a widely used node proximity measure with applications in graph spectral sparsification, multi-class graph…

社会与信息网络 · 计算机科学 2025-03-06 Guanyu Cui , Hanzhi Wang , Zhewei Wei

Sampling-based motion-planning algorithms typically rely on nearest-neighbor (NN) queries when constructing a roadmap. Recent results suggest that in various settings NN queries may be the computational bottleneck of such algorithms.…

机器人学 · 计算机科学 2014-09-30 Michal Kleinbort , Oren Salzman , Dan Halperin

Let $G = (V,E,\ell)$ be a $n$-node $m$-edge weighted undirected graph, where $\ell: E \rightarrow (0,\infty)$ is a real \emph{length} function defined on its edges, and let $g$ denote the girth of $G$, i.e., the length of its shortest…

数据结构与算法 · 计算机科学 2025-07-21 Avi Kadria , Liam Roditty , Aaron Sidford , Virginia Vassilevska Williams , Uri Zwick

A $k$-additive spanner of a graph is a subgraph that preserves the distance between any two nodes up to a total additive error of $+k$. Efficient algorithms have been devised for constructing 2 [Aingworth et al. SIAM '99], 6 [Baswana et al.…

数据结构与算法 · 计算机科学 2021-09-21 Bandar Al-Dhalaan

We study fundamental graph parameters such as the Diameter and Radius in directed graphs, when distances are measured using a somewhat unorthodox but natural measure: the distance between $u$ and $v$ is the minimum of the shortest path…

数据结构与算法 · 计算机科学 2019-06-18 Mina Dalirrooyfard , Virginia Vassilevska Williams , Nikhil Vyas , Nicole Wein , Yinzhan Xu , Yuancheng Yu