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On Polynomial-Time Combinatorial Algorithms for Maximum L-Bounded Flow

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10420162" target="_blank" >RIV/00216208:11320/20:10420162 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=_Js47XY46d" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=_Js47XY46d</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.7155/jgaa.00534" target="_blank" >10.7155/jgaa.00534</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On Polynomial-Time Combinatorial Algorithms for Maximum L-Bounded Flow

  • Original language description

    Given a graph G = (V, E) with two distinguished vertices s, (formula presented) and an integer L, an L-bounded flow is a flow between s and t that can be decomposed into paths of length at most L. In the maximum L-bounded flow problem the task is to find a maximum L-bounded flow between a given pair of vertices in the input graph. For networks with unit edge lengths (or, more generally, with polynomially bounded edge lengths, with respect to the number of vertices), the problem can be solved in polynomial time using linear programming. However, as far as we know, no polynomial-time combinatorial algorithm1 for the L-bounded flow is known. For general edge lengths, the problem is NP-hard. The only attempt, that we are aware of, to describe a combinatorial algorithm for the maximum L-bounded flow problem was done by Koubek and Říha in 1981. Unfortunately, their paper contains substantial flaws and the algorithm does not work; in the first part of this paper, we describe these problems. In the second part of this paper we describe a combinatorial algorithm based on the exponential length method that finds a (1+ε)-approximation of the maximum L-bounded flow in time O(ε-2 m2 L log L) where m is the number of edges in the graph. Moreover, we show that this approach works even for the NP-hard generalization of the maximum L-bounded flow problem in which each edge has a length.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Graph Algorithms and Applications

  • ISSN

    1526-1719

  • e-ISSN

  • Volume of the periodical

    24

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    20

  • Pages from-to

    303-322

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85088278363