Exploring Subexponential Parameterized Complexity of Completion Problems
P{\aa}l Gr{\o}n{\aa}s Drange, Fedor V. Fomin, Micha{\l} Pilipczuk,, Yngve Villanger

TL;DR
This paper investigates the parameterized complexity of graph completion problems, showing that several classes admit subexponential algorithms while establishing ETH-based lower bounds, thus providing a comprehensive complexity landscape.
Contribution
The paper proves subexponential algorithms for multiple ${ m F}$-Completion problems and establishes ETH-based lower bounds, completing the complexity characterization for these graph classes.
Findings
Trivially Perfect Completion is solvable in $2^{O(\sqrt{k}\log{k})}n^{O(1)}$ time.
Pseudosplit and Threshold Completion problems are also solvable in subexponential time.
Lower bounds show no $2^{o(k)}$ algorithms exist for certain ${ m F}$-Completion problems unless ETH fails.
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…
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Taxonomy
TopicsAdvanced Graph Theory Research · Limits and Structures in Graph Theory · Interconnection Networks and Systems
