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Pathlength of Outerplanar graphs

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  • Additional Information
    • Contributors:
      Combinatorics, Optimization and Algorithms for Telecommunications (COATI); Inria Sophia Antipolis - Méditerranée (CRISAM); Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-COMmunications, Réseaux, systèmes Embarqués et Distribués (Laboratoire I3S - COMRED); Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S); Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S); Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA); Springer; ANR-15-IDEX-0001,UCA JEDI,Idex UCA JEDI(2015); ANR-17-EURE-0004,UCA DS4H,UCA Systèmes Numériques pour l'Homme(2017); ANR-19-CE48-0013,DIGRAPHS,Digraphes(2019)
    • Publication Information:
      HAL CCSD
    • Publication Date:
      2022
    • Collection:
      HAL Université Côte d'Azur
    • Subject Terms:
    • Subject Terms:
      Guanajuato, Mexico
    • Abstract:
      International audience ; A path-decomposition of a graph G = (V, E) is a sequence of subsets of V , called bags, that satisfy some connectivity properties. The length of a path-decomposition of a graph G is the greatest distance between two vertices that belong to a same bag and the pathlength, denoted by p (G), of G is the smallest length of its path-decompositions. This parameter has been studied for its algorithmic applications for several classical metric problems like the minimum eccentricity shortest path problem, the line-distortion problem, etc. However, deciding if the pathlength of a graph G is at most 2 is NP-complete, and the best known approximation algorithm has a ratio 2 (there is no c-approximation with c < 3 2 unless P = N P). In this work, we focus on the study of the pathlength of simple sub-classes of planar graphs. We start by designing a linear-time algorithm that computes the pathlength of trees. Then, we show that the pathlength of cycles with n vertices is equal to n 2. Finally, our main result is a (+1)-approximation algorithm for the pathlength of outerplanar graphs. This algorithm is based on a characterization of almost optimal (of length at most p (G)+1) path-decompositions of outerplanar graphs. * This work is partially funded by the project UCA JEDI (ANR-15-IDEX-01) and EUR DS4H Investments in the Future (ANR-17-EURE-004).
    • ISBN:
      978-3-031-20624-5
      3-031-20624-X
    • Relation:
      hal-03895318; https://hal.science/hal-03895318; https://hal.science/hal-03895318/document; https://hal.science/hal-03895318/file/Pathlength_Outerplanar-1.pdf
    • Accession Number:
      10.1007/978-3-031-20624-5_11
    • Online Access:
      https://doi.org/10.1007/978-3-031-20624-5_11
      https://hal.science/hal-03895318
      https://hal.science/hal-03895318/document
      https://hal.science/hal-03895318/file/Pathlength_Outerplanar-1.pdf
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • Accession Number:
      edsbas.3C0051ED