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Relating Partial and Complete Solutions and the Complexity of Computing Smallest Solutions

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Theoretical Computer Science (ICTCS 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2202))

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Abstract

We prove that computing a single pair of vertices that are mapped onto each other by an isomorphism ϕ between two isomorphic graphs is as hard as computing ϕ itself.Th is result optimally improves upon a result of Gál et al.W e establish a similar, albeit slightly weaker, result about computing complete Hamiltonian cycles of a graph from partial Hamiltonian cycles.W e also show that computing the lexicographically first four-coloring for planar graphs is δ p2 -hard. This result optimally improves upon a result of Khuller and Vazirani who prove this problem to be NP-hard, and conclude that it is not self-reducible in the sense of Schnorr, assuming P ≠ NP. W e discuss this application to non-self-reducibility and provide a general related result.

This work was supported in part by grant NSF-INT-9815095/DAAD-315-PPP-güab. The second author was supported in part by a Heisenberg Fellowship of the Deutsche Forschungsgemeinschaft.

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Große, A., Rothe, J., Wechsung, G. (2001). Relating Partial and Complete Solutions and the Complexity of Computing Smallest Solutions. In: Theoretical Computer Science. ICTCS 2001. Lecture Notes in Computer Science, vol 2202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45446-2_22

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  • DOI: https://doi.org/10.1007/3-540-45446-2_22

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  • Print ISBN: 978-3-540-42672-1

  • Online ISBN: 978-3-540-45446-5

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