Graph-TSP from Steiner Cycles
Abstract
We present an approach for the traveling salesman problem with graph metric based on Steiner cycles. A Steiner cycle is a cycle that is required to contain some specified subset of vertices. For a graph , if we can find a spanning tree and a simple cycle that contains the vertices with odd-degree in , then we show how to combine the classic "double spanning tree" algorithm with Christofides' algorithm to obtain a TSP tour of length at most . We use this approach to show that a graph containing a Hamiltonian path has a TSP tour of length at most . Since a Hamiltonian path is a spanning tree with two leaves, this motivates the question of whether or not a graph containing a spanning tree with few leaves has a short TSP tour. The recent techniques of M\"omke and Svensson imply that a graph containing a depth-first-search tree with leaves has a TSP tour of length . Using our approach, we can show that a -vertex connected graph that contains a spanning tree with at most leaves has a TSP tour of length . We also explore other conditions under which our approach results in a short tour.
Cite
@article{arxiv.1407.2844,
title = {Graph-TSP from Steiner Cycles},
author = {Satoru Iwata and Alantha Newman and R. Ravi},
journal= {arXiv preprint arXiv:1407.2844},
year = {2014}
}
Comments
Proceedings of WG 2014