Induced Matching below Guarantees: Average Paves the Way for Fixed-Parameter Tractability
Abstract
In this work, we study the Induced Matching problem: Given an undirected graph and an integer , is there an induced matching of size at least ? An edge subset is an induced matching in if is a matching such that there is no edge between two distinct edges of . Our work looks into the parameterized complexity of Induced Matching with respect to "below guarantee" parameterizations. We consider the parameterization for an upper bound on the size of any induced matching. For instance, any induced matching is of size at most where is the number of vertices, which gives us a parameter . In fact, there is a straightforward -time algorithm for Induced Matching [Moser and Thilikos, J. Discrete Algorithms]. Motivated by this, we ask: Is Induced Matching FPT for a parameter smaller than ? In search for such parameters, we consider and , where is the maximum matching size and is the maximum independent set size of . We find that Induced Matching is presumably not FPT when parameterized by or . In contrast to these intractability results, we find that taking the average of the two helps -- our main result is a branching algorithm that solves Induced Matching in time. Our algorithm makes use of the Gallai-Edmonds decomposition to find a structure to branch on.
Cite
@article{arxiv.2212.13962,
title = {Induced Matching below Guarantees: Average Paves the Way for Fixed-Parameter Tractability},
author = {Tomohiro Koana},
journal= {arXiv preprint arXiv:2212.13962},
year = {2022}
}