Vertex deletion on split graphs: Beyond 4-hitting set

Pratibha Choudhary, Pallavi Jain, R. Krithika, Vibha Sahlot

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Vertex deletion problems on graphs involve finding a set of minimum number of vertices whose deletion results in a graph with some specific property. In a recent study on vertex deletion problems on split graphs, it was shown that transforming a split graph to a block graph or a threshold graph using minimum number of vertex deletions is NP-hard. We call the decision version of these problems as SPLIT TO BLOCK VERTEX DELETION (SBVD) and SPLIT TO THRESHOLD VERTEX DELETION (STVD), respectively. In this paper, we study the parameterized complexity of these problems with the number of vertex deletions, k, as a parameter. These problems are implicit 4-HITTING SET and thus admit an algorithm with running time O(3.0755k), a kernel with O(k3) vertices, and a 4-approximation algorithm. In this paper, we exploit the structural properties of the concerned graph classes and obtain a kernel for SBVD with O(k2) vertices and FPT algorithms for SBVD and STVD with running times O(2.3028k) and O(2.7913k), respectively. We further give improved approximation algorithms for SBVD and STVD.

Original languageEnglish
Pages (from-to)21-37
Number of pages17
JournalTheoretical Computer Science
Volume845
DOIs
StatePublished - 12 Dec 2020
Externally publishedYes

Keywords

  • Approximation algorithms
  • Kernelization
  • Parameterized algorithms
  • Split graphs
  • Vertex deletion problems

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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