Solving Capacitated Dominating Set by Using Covering by Subsets and Maximum Matching

  • Mathieu Liedloff
  • Ioan Todinca
  • Yngve Villanger
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6410)


The Capacitated Dominating Set problem is the problem of finding a dominating set of minimum cardinality where each vertex has been assigned a bound on the number of vertices it has capacity to dominate. Cygan et al. showed in 2009 that this problem can be solved in \(O(n^3 m {{n} \choose {n/3}})\) or in O *(1.89 n ) time using maximum matching algorithm. An alternative way to solve this problem is to use dynamic programming over subsets. By exploiting structural properties of instances that can not be solved fast by the maximum matching approach, and “hiding” additional cost related to considering subsets of large cardinality in the dynamic programming, an improved algorithm is obtained. We show that the Capacitated Dominating Set problem can be solved in O *(1.8463 n ) time.


Dynamic Programming Maximum Match Polynomial Term Capacity Function Polynomial Factor 
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© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Mathieu Liedloff
    • 1
  • Ioan Todinca
    • 1
  • Yngve Villanger
    • 2
  1. 1.LIFOUniversité d’OrléansOrléans Cedex 2France
  2. 2.Department of InformaticsUniversity of BergenBergenNorway

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