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Parallel approximation for partial set cover

Author

Listed:
  • Ran, Yingli
  • Zhang, Ying
  • Zhang, Zhao

Abstract

In a minimum partial set cover problem (MinPSC), given a ground set E with n elements, a collection S of subsets of E with |S|=m, a cost function c:S→R+, and an integer k≤n, the goal of MinPSC is to find a minimum cost sub-collection of S that covers at least k elements of E. In this paper, we design a parallel algorithm for MinPSC which yields a solution with approximation ratio at most f1−2ε in O(1εlogmnε) rounds, where f is the maximum number of sets containing a common element, and 0<ε<1/2 is a constant. We also design a parallel algorithm for a special MinPSC problem, the minimum power partial cover problem (MinPPC), which achieves approximation ratio at most (3+2ε)α1−2ε in O(1εlogmnεlog2m) rounds, where α≥1 is the attenuation factor of power.

Suggested Citation

  • Ran, Yingli & Zhang, Ying & Zhang, Zhao, 2021. "Parallel approximation for partial set cover," Applied Mathematics and Computation, Elsevier, vol. 408(C).
  • Handle: RePEc:eee:apmaco:v:408:y:2021:i:c:s0096300321004471
    DOI: 10.1016/j.amc.2021.126358
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    References listed on IDEAS

    as
    1. Menghong Li & Yingli Ran & Zhao Zhang, 0. "A primal-dual algorithm for the minimum power partial cover problem," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-11.
    2. Wolsey, L.A., 1982. "An analysis of the greedy algorithm for the submodular set covering problem," LIDAM Reprints CORE 519, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    Full references (including those not matched with items on IDEAS)

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