Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
126 tokens/sec
GPT-4o
47 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Parameterizing edge modification problems above lower bounds (1512.04047v3)

Published 13 Dec 2015 in cs.DM and cs.DS

Abstract: We study the parameterized complexity of a variant of the $F$-free Editing problem: Given a graph $G$ and a natural number $k$, is it possible to modify at most $k$ edges in $G$ so that the resulting graph contains no induced subgraph isomorphic to $F$? In our variant, the input additionally contains a vertex-disjoint packing $\mathcal{H}$ of induced subgraphs of $G$, which provides a lower bound $h(\mathcal{H})$ on the number of edge modifications required to transform $G$ into an $F$-free graph. While earlier works used the number $k$ as parameter or structural parameters of the input graph $G$, we consider instead the parameter $\ell:=k-h(\mathcal{H})$, that is, the number of edge modifications above the lower bound $h(\mathcal{H})$. We develop a framework of generic data reduction rules to show fixed-parameter tractability with respect to $\ell$ for $K_3$-Free Editing, Feedback Arc Set in Tournaments, and Cluster Editing when the packing $\mathcal{H}$ contains subgraphs with bounded solution size. For $K_3$-Free Editing, we also prove NP-hardness in case of edge-disjoint packings of $K_3$s and $\ell=0$, while for $K_q$-Free Editing and $q\ge 6$, NP-hardness for $\ell=0$ even holds for vertex-disjoint packings of $K_q$s. In addition, we provide NP-hardness results for $F$-free Vertex Deletion, were the aim is to delete a minimum number of vertices to make the input graph $F$-free.

Citations (17)

Summary

We haven't generated a summary for this paper yet.