2 research outputs found

    A Linear Kernel for Planar Total Dominating Set

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    A total dominating set of a graph G=(V,E)G=(V,E) is a subset D⊆VD \subseteq V such that every vertex in VV is adjacent to some vertex in DD. Finding a total dominating set of minimum size is NP-hard on planar graphs and W[2]-complete on general graphs when parameterized by the solution size. By the meta-theorem of Bodlaender et al. [J. ACM, 2016], there exists a linear kernel for Total Dominating Set on graphs of bounded genus. Nevertheless, it is not clear how such a kernel can be effectively constructed, and how to obtain explicit reduction rules with reasonably small constants. Following the approach of Alber et al. [J. ACM, 2004], we provide an explicit kernel for Total Dominating Set on planar graphs with at most 410k410k vertices, where kk is the size of the solution. This result complements several known constructive linear kernels on planar graphs for other domination problems such as Dominating Set, Edge Dominating Set, Efficient Dominating Set, Connected Dominating Set, or Red-Blue Dominating Set.Comment: 33 pages, 13 figure

    Signed double Roman domination on cubic graphs

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    The signed double Roman domination problem is a combinatorial optimization problem on a graph asking to assign a label from {±1,2,3}\{\pm{}1,2,3\} to each vertex feasibly, such that the total sum of assigned labels is minimized. Here feasibility is given whenever (i) vertices labeled ±1\pm{}1 have at least one neighbor with label in {2,3}\{2,3\}; (ii) each vertex labeled −1-1 has one 33-labeled neighbor or at least two 22-labeled neighbors; and (iii) the sum of labels over the closed neighborhood of any vertex is positive. The cumulative weight of an optimal labeling is called signed double Roman domination number (SDRDN). In this work, we first consider the problem on general cubic graphs of order nn for which we present a sharp n/2+Θ(1)n/2+\Theta(1) lower bound for the SDRDN by means of the discharging method. Moreover, we derive a new best upper bound. Observing that we are often able to minimize the SDRDN over the class of cubic graphs of a fixed order, we then study in this context generalized Petersen graphs for independent interest, for which we propose a constraint programming guided proof. We then use these insights to determine the SDRDNs of subcubic 2×m2\times m grid graphs, among other results
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