Abstract
We consider the Minimum Coverage Kernel problem: given a set \(\mathcal {B}\) of d-dimensional boxes, find a subset of \(\mathcal {B}\) of minimum size covering the same region as \(\mathcal {B}\). This problem is \(\mathsf {NP}\)-hard, but as for many \(\mathsf {NP}\)-hard problems on graphs, the problem becomes solvable in polynomial time under restrictions on the graph induced by \(\mathcal {B}\). We consider various classes of graphs, show that Minimum Coverage Kernel remains \(\mathsf {NP}\)-hard even for severely restricted instances, and provide two polynomial time approximation algorithms for this problem.
This work was supported by projects CONICYT Fondecyt/Regular nos 1170366 and 1160543, and CONICYT-PCHA/Doctorado Nacional/2013-63130209 (Chile).
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Notes
- 1.
The incidence graph of a 3-SAT formula is a bipartite graph with a vertex for each variable and each clause, and an edge between a variable vertex and a clause vertex for each occurrence of a variable in a clause.
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We thank an anonymous reviewer for carefully reading our manuscript, and providing many insightful comments and suggestions.
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Barbay, J., Pérez-Lantero, P., Rojas-Ledesma, J. (2018). Computing Coverage Kernels Under Restricted Settings. In: Wang, L., Zhu, D. (eds) Computing and Combinatorics. COCOON 2018. Lecture Notes in Computer Science(), vol 10976. Springer, Cham. https://doi.org/10.1007/978-3-319-94776-1_16
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