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Approaching 3/2 for the s-t-path TSP

Published: 07 March 2019 Publication History

Abstract

We show that there is a polynomial-time algorithm with approximation guarantee 3/2+ε for the s-t-path TSP, for any fixed ε > 0.
It is well-known that Wolsey’s analysis of Christofide algorithm also works for the s-t-path TSP with its natural LP relaxation, except for the narrow cuts (in which the LP solution has a value less than two). A fixed optimum tour has either a single edge in a narrow cut (then call the edge and the cut lonely) or at least three (then call the cut busy). Our algorithm “guesses” (by dynamic programming) lonely cuts and edges. Then, we partition the instance into smaller instances and strengthen the LP, requiring a value of at least three for busy cuts. By setting up a k-stage recursive dynamic program, we can compute a spanning tree (V,S) and an LP solution y such that (½+O(2k))y is in the T-join polyhedron, where T is the set of vertices whose degree in S has the wrong parity.

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Published In

cover image Journal of the ACM
Journal of the ACM  Volume 66, Issue 2
April 2019
260 pages
ISSN:0004-5411
EISSN:1557-735X
DOI:10.1145/3318168
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 March 2019
Accepted: 01 January 2019
Revised: 01 December 2018
Received: 01 January 2018
Published in JACM Volume 66, Issue 2

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Author Tags

  1. Traveling salesman problem
  2. approximation algorithm
  3. dynamic programming

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Cited By

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  • (2024)The simultaneous semi-random model for TSPMathematical Programming: Series A and B10.1007/s10107-023-02011-w206:1-2(305-332)Online publication date: 1-Jul-2024
  • (2023)A New Dynamic Programming Approach for Spanning Trees with Chain Constraints and BeyondMathematics of Operations Research10.1287/moor.2023.0012Online publication date: 13-Oct-2023
  • (2023)An LP-based approximation algorithm for the generalized traveling salesman path problemTheoretical Computer Science10.1016/j.tcs.2022.11.013941(180-190)Online publication date: Jan-2023
  • (2023)Approximations for many-visits multiple traveling salesman problemsOmega10.1016/j.omega.2022.102816116(102816)Online publication date: Apr-2023
  • (2023)An approximation algorithm for the clustered path travelling salesman problemJournal of Combinatorial Optimization10.1007/s10878-023-01029-245:4Online publication date: 30-Apr-2023
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  • (2022)An Improved Approximation Algorithm for The Asymmetric Traveling Salesman ProblemSIAM Journal on Computing10.1137/20M133931351:1(139-173)Online publication date: 22-Feb-2022
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