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As Close as It Gets

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9627))

Abstract

We study the minimum Hamming distance between distinct satisfying assignments of a conjunctive input formula over a given set of Boolean relations (\(\mathsf {MinSolutionDistance}\), \(\mathsf {MSD}\)). We present a complete classification of the complexity of this optimization problem with respect to the relations admitted in the formula. We give polynomial time algorithms for several classes of constraint languages. For all other cases we prove hardness or completeness with respect to \(\text {poly-APX}\), or \(\mathrm {NPO}\), or equivalence to a well-known hard optimization problem.

M. Behrisch and G. Salzer— Supported by Austrian Science Fund (FWF) grant I836-N23.

M. Hermann— Supported by ANR-11-ISO2-003-01 Blanc International grant ALCOCLAN.

S. Mengel— Supported by QUALCOMM grant. Now at CRIL (UMR CNRS 8188), Lens, France.

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Correspondence to Gernot Salzer .

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Behrisch, M., Hermann, M., Mengel, S., Salzer, G. (2016). As Close as It Gets. In: Kaykobad, M., Petreschi, R. (eds) WALCOM: Algorithms and Computation. WALCOM 2016. Lecture Notes in Computer Science(), vol 9627. Springer, Cham. https://doi.org/10.1007/978-3-319-30139-6_18

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  • DOI: https://doi.org/10.1007/978-3-319-30139-6_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30138-9

  • Online ISBN: 978-3-319-30139-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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