Approximating the held-karp bound for metric TSP in nearly-linear time

Chandra Chekuri, Kent Quanrud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We give a nearly linear-time randomized approximation scheme for the Held-Karp bound [22] for Metric-TSP. Formally, given an undirected edge-weighted graph G = (V,E) on m edges and ϵ 0, the algorithm outputs in O(m log^4 n/ϵ^2) time, with high probability, a (1 + ϵ)-approximation to the Held-Karp bound on the Metric-TSP instance induced by the shortest path metric on G. The algorithm can also be used to output a corresponding solution to the Subtour Elimination LP. We substantially improve upon the O(m^2 log^2(m)/ϵ^2) running time achieved previously by Garg and Khandekar.

Original languageEnglish (US)
Title of host publicationProceedings - 58th Annual IEEE Symposium on Foundations of Computer Science, FOCS 2017
PublisherIEEE Computer Society
Pages789-800
Number of pages12
ISBN (Electronic)9781538634646
DOIs
StatePublished - Nov 10 2017
Event58th Annual IEEE Symposium on Foundations of Computer Science, FOCS 2017 - Berkeley, United States
Duration: Oct 15 2017Oct 17 2017

Publication series

NameAnnual Symposium on Foundations of Computer Science - Proceedings
Volume2017-October
ISSN (Print)0272-5428

Other

Other58th Annual IEEE Symposium on Foundations of Computer Science, FOCS 2017
Country/TerritoryUnited States
CityBerkeley
Period10/15/1710/17/17

ASJC Scopus subject areas

  • General Computer Science

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