Matroid-Based TSP Rounding for Half-Integral Solutions

Anupam Gupta, Euiwoong Lee, Jason Li, Marcin Mucha, Heather Newman, Sherry Sarkar

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

Abstract

We show how to round any half-integral solution to the subtour-elimination relaxation for the TSP, while losing a less-than-1.5 factor. Such a rounding algorithm was recently given by Karlin, Klein, and Oveis Gharan based on sampling from max-entropy distributions. We build on an approach of Haddadan and Newman to show how sampling from the matroid intersection polytope, and a new use of max-entropy sampling, can give better guarantees.

Original languageEnglish (US)
Title of host publicationInteger Programming and Combinatorial Optimization - 23rd International Conference, IPCO 2022, Proceedings
EditorsKaren Aardal, Laura Sanità
PublisherSpringer Science and Business Media Deutschland GmbH
Pages305-318
Number of pages14
ISBN (Print)9783031069000
DOIs
StatePublished - 2022
Event23rd International Conference on Integer Programming and Combinatorial Optimization, IPCO 2022 - Eindhoven, Netherlands
Duration: Jun 27 2022Jun 29 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13265 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd International Conference on Integer Programming and Combinatorial Optimization, IPCO 2022
Country/TerritoryNetherlands
CityEindhoven
Period6/27/226/29/22

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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