Exploring Subexponential Parameterized Complexity of Completion Problems
Abstract
Let be a family of graphs. In the -Completion problem, we are given a graph and an integer as input, and asked whether at most edges can be added to so that the resulting graph does not contain a graph from as an induced subgraph. It appeared recently that special cases of -Completion, the problem of completing into a chordal graph known as Minimum Fill-in, corresponding to the case of , and the problem of completing into a split graph, i.e., the case of , are solvable in parameterized subexponential time . The exploration of this phenomenon is the main motivation for our research on -Completion. In this paper we prove that completions into several well studied classes of graphs without long induced cycles also admit parameterized subexponential time algorithms by showing that: - The problem Trivially Perfect Completion is solvable in parameterized subexponential time , that is -Completion for , a cycle and a path on four vertices. - The problems known in the literature as Pseudosplit Completion, the case where , and Threshold Completion, where , are also solvable in time . We complement our algorithms for -Completion with the following lower bounds: - For , , , and , -Completion cannot be solved in time unless the Exponential Time Hypothesis (ETH) fails. Our upper and lower bounds provide a complete picture of the subexponential parameterized complexity of -Completion problems for .
Cite
@article{arxiv.1309.4022,
title = {Exploring Subexponential Parameterized Complexity of Completion Problems},
author = {Pål Grønås Drange and Fedor V. Fomin and Michał Pilipczuk and Yngve Villanger},
journal= {arXiv preprint arXiv:1309.4022},
year = {2014}
}
Comments
32 pages, 16 figures, A preliminary version of this paper appeared in the proceedings of STACS'14