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Performance Guarantees for the TSP with a Parameterized Triangle Inequality

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Abstract

We consider the approximability of the TSP problem in graphs that satisfy a relaxed form of triangle inequality. More precisely, we assume that for some parameter τ ≥ 1, the distances satisfy the inequality dist(x,y) ≤τ. (dist(x,z)+ dist(z,y)) for every triple of vertices x, y, and z. We obtain a 4τ approximation and also show that for some > 0 it is NP-hard to obtain a (1 + ∈τ) approximation. Our upper bound improves upon the earlier known ratio of (3τ 2/2/+τ/2)[1] for all values of τ > 7/3.

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© 1999 Springer-Verlag Berlin Heidelberg

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Bender, M.A., Chekuri, C. (1999). Performance Guarantees for the TSP with a Parameterized Triangle Inequality. In: Dehne, F., Sack, JR., Gupta, A., Tamassia, R. (eds) Algorithms and Data Structures. WADS 1999. Lecture Notes in Computer Science, vol 1663. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48447-7_10

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  • DOI: https://doi.org/10.1007/3-540-48447-7_10

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  • Print ISBN: 978-3-540-66279-2

  • Online ISBN: 978-3-540-48447-9

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