Abstract
Given a positive integer k, the \(\{k\}\)-packing function problem (\(\{k\}\)PF) is to find in a given graph G, a function f of maximum weight that assigns a non-negative integer to the vertices of G in such a way that the sum of f(v) over each closed neighborhood is at most k. This notion was recently introduced as a variation of the k-limited packing problem (kLP) introduced in 2010, where the function was supposed to assign a value in \(\{0,1\}\). For all the graph classes explored up to now, \(\{k\}\)PF and kLP have the same computational complexity. It is an open problem to determine a graph class where one of them is NP-complete and the other, polynomially solvable. In this work, we first prove that \(\{k\}\)PF is NP-complete for bipartite graphs, as kLP is known to be. We also obtain new graph classes where the complexity of these problems would coincide.
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Acknowledgements
This work was partially supported by grants PIP CONICET 11220120100277 (2014–2017), 1ING 391 (2012–2016) and MINCyT-MHEST SLO 14/09 (2015–2017).
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Leoni, V., Dobson, M.P. (2016). Towards a Polynomial Equivalence Between \(\{k\}\)-Packing Functions and k-Limited Packings in Graphs. In: Cerulli, R., Fujishige, S., Mahjoub, A. (eds) Combinatorial Optimization. ISCO 2016. Lecture Notes in Computer Science(), vol 9849. Springer, Cham. https://doi.org/10.1007/978-3-319-45587-7_14
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DOI: https://doi.org/10.1007/978-3-319-45587-7_14
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