
arXiv: 2009.08158
We introduce and study two natural generalizations of the Connected VertexCover (VC) problem: the $p$-Edge-Connected and $p$-Vertex-Connected VC problem (where $p \geq 2$ is a fixed integer). Like Connected VC, both new VC problems are FPT, but do not admit a polynomial kernel unless $NP \subseteq coNP/poly$, which is highly unlikely. We prove however that both problems admit time efficient polynomial sized approximate kernelization schemes. We obtain an $O(2^{O(pk)}n^{O(1)})$-time algorithm for the $p$-Edge-Connected VC and an $O(2^{O(k^2)}n^{O(1)})$-time algorithm for the $p$-Vertex-Connected VC. Finally, we describe a $2(p+1)$-approximation algorithm for the $p$-Edge-Connected VC. The proofs for the new VC problems require more sophisticated arguments than for Connected VC. In particular, for the approximation algorithm we use Gomory-Hu trees and for the approximate kernels a result on small-size spanning $p$-vertex/edge-connected subgraph of a $p$-vertex/edge-connected graph obtained independently by Nishizeki and Poljak (1994) and Nagamochi and Ibaraki (1992).
FOS: Computer and information sciences, parameterized algorithms, approximate kernels, Parameterized complexity, tractability and kernelization, G.2.2, kernels, Parameterized algorithms, Vertex cover, Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), Kernels, Graph algorithms (graph-theoretic aspects), Computer Science - Data Structures and Algorithms, Approximate kernels, Data Structures and Algorithms (cs.DS), approximation algorithms, F.2.2; G.2.2, Connectivity, Approximation algorithms, vertex cover, Graph theory (including graph drawing) in computer science, connectivity, F.2.2
FOS: Computer and information sciences, parameterized algorithms, approximate kernels, Parameterized complexity, tractability and kernelization, G.2.2, kernels, Parameterized algorithms, Vertex cover, Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), Kernels, Graph algorithms (graph-theoretic aspects), Computer Science - Data Structures and Algorithms, Approximate kernels, Data Structures and Algorithms (cs.DS), approximation algorithms, F.2.2; G.2.2, Connectivity, Approximation algorithms, vertex cover, Graph theory (including graph drawing) in computer science, connectivity, F.2.2
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