English

A single-exponential fixed-parameter algorithm for Distance-Hereditary Vertex Deletion

Data Structures and Algorithms 2017-08-07 v3

Abstract

Vertex deletion problems ask whether it is possible to delete at most kk vertices from a graph so that the resulting graph belongs to a specified graph class. Over the past years, the parameterized complexity of vertex deletion to a plethora of graph classes has been systematically researched. Here we present the first single-exponential fixed-parameter tractable algorithm for vertex deletion to distance-hereditary graphs, a well-studied graph class which is particularly important in the context of vertex deletion due to its connection to the graph parameter rank-width. We complement our result with matching asymptotic lower bounds based on the exponential time hypothesis. As an application of our algorithm, we show that a vertex deletion set to distance-hereditary graphs can be used as a parameter which allows single-exponential fixed-parameter tractable algorithms for classical NP-hard problems.

Keywords

Cite

@article{arxiv.1604.06056,
  title  = {A single-exponential fixed-parameter algorithm for Distance-Hereditary Vertex Deletion},
  author = {Eduard Eiben and Robert Ganian and O-joung Kwon},
  journal= {arXiv preprint arXiv:1604.06056},
  year   = {2017}
}

Comments

43 pages, 9 figures (revised journal version; an extended abstract appeared in the proceedings of MFCS 2016)

R2 v1 2026-06-22T13:37:05.046Z