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Improving Christofides' Algorithm for the s-t Path TSP

Uploader: Microsoft Research

Duration: 58 Menit 53.00 detik

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Title: Improving Christofides' Algorithm for the s-t Path TSP
Contributing Artist: Microsoft Research
Album: Improving Christofides' Algorithm for the s-t Path TSP - Single
Date: 11 August 2016
Duration: 58 Menit 53.00 detik
Type of file: Audio MP3 (.mp3)
Audio Summary: mp3, 44100 Hz, stereo, s16p, 128 kb/s

We present a deterministic (1+sqrt(5))/2-approximation algorithm for the s-t path TSP for an arbitrary metric. Given a symmetric metric cost on n vertices including two prespecified endpoints, the problem is to find a shortest Hamiltonian path between the two endpoints; Hoogeveen showed that the natural variant of Christofides' algorithm is a 5/3-approximation algorithm for this problem, and this asymptotically tight bound in fact has been the best approximation ratio known until now. We modify this algorithm so that it chooses the initial spanning tree based on an optimal solution to the Held-Karp relaxation rather than a minimum spanning tree; we prove this simple but crucial modification leads to an improved approximation ratio, surpassing the 20-year-old barrier set by the natural Christofides' algorithm variant. Our algorithm also proves an upper bound of (1+sqrt(5))/2 on the integrality gap of the path-variant Held-Karp relaxation. The techniques devised in this paper can be applied to other optimization problems as well: these applications include improved approximation algorithms and improved LP integrality gap upper bounds for the prize-collecting s-t path problem and the unit-weight graphical metric s-t path TSP. This is joint work with Robert Kleinberg and David Shmoys.
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