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A structural characterization for certifying robinsonian matrices

Author

Listed:
  • Laurent, Monique

    (Tilburg University, School of Economics and Management)

  • Seminaroti, M.

    (Tilburg University, School of Economics and Management)

  • Tanigawa, Shin-ichi

Abstract

No abstract is available for this item.

Suggested Citation

  • Laurent, Monique & Seminaroti, M. & Tanigawa, Shin-ichi, 2017. "A structural characterization for certifying robinsonian matrices," Other publications TiSEM 5ecebfb8-804e-4267-8c12-b, Tilburg University, School of Economics and Management.
    • Handle: RePEc:tiu:tiutis:5ecebfb8-804e-4267-8c12-b8eccee5b983
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    File URL: https://pure.uvt.nl/ws/portalfiles/portal/23365171/A_Structural_Characterization_forCertifying_Robinsonian_Matrices.pdf
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    References listed on IDEAS

    as
    1. Pascal Préa & Dominique Fortin, 2014. "An Optimal Algorithm To Recognize Robinsonian Dissimilarities," Journal of Classification, Springer;The Classification Society, vol. 31(3), pages 351-385, October.
    2. Victor Chepoi & Bernard Fichet, 1997. "Recognition of Robinsonian dissimilarities," Journal of Classification, Springer;The Classification Society, vol. 14(2), pages 311-325, September.
    3. Laurent, Monique & Seminaroti, Matteo, 2016. "Similarity-First Search : A New Algorithm With Application to Robinsonian Matrix Recognition," Other publications TiSEM 8468be57-ed46-400c-9c0e-7, Tilburg University, School of Economics and Management.
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    Cited by:

    1. Julio Aracena & Christopher Thraves Caro, 2023. "The weighted sitting closer to friends than enemies problem in the line," Journal of Combinatorial Optimization, Springer, vol. 45(1), pages 1-21, January.

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