• Media type: Text; Electronic Conference Proceeding; E-Article
  • Title: On Approximate Compressions for Connected Minor-Hitting Sets
  • Contributor: Ramanujan, M. S. [Author]
  • imprint: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2021
  • Language: English
  • DOI: https://doi.org/10.4230/LIPIcs.ESA.2021.78
  • Keywords: Kernelization ; Parameterized Complexity ; Approximation Algorithms
  • Origination:
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  • Description: In the Connected ℱ-Deletion problem, ℱ is a fixed finite family of graphs and the objective is to compute a minimum set of vertices (or a vertex set of size at most k for some given k) such that (a) this set induces a connected subgraph of the given graph and (b) deleting this set results in a graph which excludes every F ∈ ℱ as a minor. In the area of kernelization, this problem is well known to exclude a polynomial kernel subject to standard complexity hypotheses even in very special cases such as ℱ = K₂, i.e., Connected Vertex Cover. In this work, we give a (2+ε)-approximate polynomial compression for the Connected ℱ-Deletion problem when ℱ contains at least one planar graph. This is the first approximate polynomial compression result for this generic problem. As a corollary, we obtain the first approximate polynomial compression result for the special case of Connected η-Treewidth Deletion.
  • Access State: Open Access