An Exact Exponential Time Algorithm for POWER DOMINATING SET
Identifieur interne : 000867 ( Main/Exploration ); précédent : 000866; suivant : 000868An Exact Exponential Time Algorithm for POWER DOMINATING SET
Auteurs : Daniel Binkele-Raible [Allemagne] ; Henning Fernau [Allemagne]Source :
- Algorithmica [ 0178-4617 ] ; 2012.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
The POWER DOMINATING SET problem is an extension of the well-known domination problem on graphs in a way that we enrich it by a second propagation rule: given a graph G(V, E), a set P ⊆ V is a power dominating set if every vertex is observed after the exhaustive application of the following two rules. First, a vertex is observed if v ∈ P or it has a neighbor in P. Secondly, if an observed vertex has exactly one unobserved neighbor u, then also u will be observed, as well. We show that POWER DOMINATING SET remains NP-hard on cubic graphs. We design an algorithm solving this problem in time O*(1.7548n) on general graphs, using polynomial space only. To achieve this, we introduce so-called reference search trees that can be seen as a compact representation of usual search trees, providing non-local pointers in order to indicate pruned subtrees.
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Le document en format XML
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<front><div type="abstract" xml:lang="en">The POWER DOMINATING SET problem is an extension of the well-known domination problem on graphs in a way that we enrich it by a second propagation rule: given a graph G(V, E), a set P ⊆ V is a power dominating set if every vertex is observed after the exhaustive application of the following two rules. First, a vertex is observed if v ∈ P or it has a neighbor in P. Secondly, if an observed vertex has exactly one unobserved neighbor u, then also u will be observed, as well. We show that POWER DOMINATING SET remains NP-hard on cubic graphs. We design an algorithm solving this problem in time O<sup>*</sup>
(1.7548<sup>n</sup>
) on general graphs, using polynomial space only. To achieve this, we introduce so-called reference search trees that can be seen as a compact representation of usual search trees, providing non-local pointers in order to indicate pruned subtrees.</div>
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