License: Creative Commons Attribution 3.0 Unported license (CC-BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ICALP.2019.46
URN: urn:nbn:de:0030-drops-106223
Go to the corresponding LIPIcs Volume Portal

Dalirrooyfard, Mina ; Williams, Virginia Vassilevska ; Vyas, Nikhil ; Wein, Nicole ; Xu, Yinzhan ; Yu, Yuancheng

Approximation Algorithms for Min-Distance Problems

LIPIcs-ICALP-2019-46.pdf (0.5 MB)


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 distances from u to v and from v to u. The center node in a graph under this measure can for instance represent the optimal location for a hospital to ensure the fastest medical care for everyone, as one can either go to the hospital, or a doctor can be sent to help. By computing All-Pairs Shortest Paths, all pairwise distances and thus the parameters we study can be computed exactly in O~(mn) time for directed graphs on n vertices, m edges and nonnegative edge weights. Furthermore, this time bound is tight under the Strong Exponential Time Hypothesis [Roditty-Vassilevska W. STOC 2013] so it is natural to study how well these parameters can be approximated in O(mn^{1-epsilon}) time for constant epsilon>0. Abboud, Vassilevska Williams, and Wang [SODA 2016] gave a polynomial factor approximation for Diameter and Radius, as well as a constant factor approximation for both problems in the special case where the graph is a DAG. We greatly improve upon these bounds by providing the first constant factor approximations for Diameter, Radius and the related Eccentricities problem in general graphs. Additionally, we provide a hierarchy of algorithms for Diameter that gives a time/accuracy trade-off.

BibTeX - Entry

  author =	{Mina Dalirrooyfard and Virginia Vassilevska Williams and Nikhil Vyas and Nicole Wein and Yinzhan Xu and Yuancheng Yu},
  title =	{{Approximation Algorithms for Min-Distance Problems}},
  booktitle =	{46th International Colloquium on Automata, Languages, and Programming (ICALP 2019)},
  pages =	{46:1--46:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-109-2},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{132},
  editor =	{Christel Baier and Ioannis Chatzigiannakis and Paola Flocchini and Stefano Leonardi},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-106223},
  doi =		{10.4230/LIPIcs.ICALP.2019.46},
  annote =	{Keywords: fine-grained complexity, graph algorithms, diameter, radius, eccentricities}

Keywords: fine-grained complexity, graph algorithms, diameter, radius, eccentricities
Collection: 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019)
Issue Date: 2019
Date of publication: 04.07.2019

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI