## 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^{⋆}(3.0755^{k}), a kernel with O(k^{3}) 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(k^{2}) vertices and FPT algorithms for SBVD and STVD with running times O^{⋆}(2.3028^{k}) and O^{⋆}(2.7913^{k}), respectively. We further give improved approximation algorithms for SBVD and STVD.

Original language | English |
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Pages (from-to) | 21-37 |

Number of pages | 17 |

Journal | Theoretical Computer Science |

Volume | 845 |

DOIs | |

State | Published - 12 Dec 2020 |

Externally published | Yes |

## Keywords

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

## ASJC Scopus subject areas

- Theoretical Computer Science
- General Computer Science