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 Mömke 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.
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