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Matroid-based TSP rounding for half-integral solutions

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

摘要

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, combined with a novel use of max-entropy sampling, can give better guarantees.