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Abstract

We study the complexity of bounded variants of graph problems, mainly the problem of k-Dimensional Matching (k-DM), namely, the problem of finding a maximal matching in a k-partite k-uniform balanced hyper-graph. We prove that k-DM cannot be efficiently approximated to within a factor of \( O(\frac{k}{ \ln k}) \) unless P = NP. This improves the previous factor of \(\frac{k}{2^{O(\sqrt{\ln k}})} \) by Trevisan [Tre01]. For low k values we prove NP-hardness factors of \(\frac{54}{53} -- \varepsilon,\frac{30}{29} -- \varepsilon\) and \(\frac{23}{22} -- \varepsilon\) for 4-DM, 5-DM and 6-DM respectively. These results extend to the problem of k-Set-Packing and the problem of Maximum Independent-Set in (k+1)-claw-free graphs.

Research supported in part by the Fund for Basic Research Administered by the Israel Academy of Sciences, and a Bikura grant.

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Hazan, E., Safra, S., Schwartz, O. (2003). On the Complexity of Approximating k-Dimensional Matching. In: Arora, S., Jansen, K., Rolim, J.D.P., Sahai, A. (eds) Approximation, Randomization, and Combinatorial Optimization.. Algorithms and Techniques. RANDOM APPROX 2003 2003. Lecture Notes in Computer Science, vol 2764. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45198-3_8

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  • DOI: https://doi.org/10.1007/978-3-540-45198-3_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40770-6

  • Online ISBN: 978-3-540-45198-3

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