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Single-Exponential FPT Algorithms for Enumerating Secluded F\mathcal{F}-Free Subgraphs and Deleting to Scattered Graph Classes

Published 20 Sep 2023 in cs.DS | (2309.11366v1)

Abstract: The celebrated notion of important separators bounds the number of small (S,T)(S,T)-separators in a graph which are 'farthest from SS' in a technical sense. In this paper, we introduce a generalization of this powerful algorithmic primitive that is phrased in terms of kk-secluded vertex sets: sets with an open neighborhood of size at most kk. In this terminology, the bound on important separators says that there are at most $4k$ maximal kk-secluded connected vertex sets CC containing SS but disjoint from TT. We generalize this statement significantly: even when we demand that G[C]G[C] avoids a finite set F\mathcal{F} of forbidden induced subgraphs, the number of such maximal subgraphs is 2<sup>O(k)2<sup>{O(k)} and they can be enumerated efficiently. This allows us to make significant improvements for two problems from the literature. Our first application concerns the 'Connected kk-Secluded F\mathcal{F}-free subgraph' problem, where F\mathcal{F} is a finite set of forbidden induced subgraphs. Given a graph in which each vertex has a positive integer weight, the problem asks to find a maximum-weight connected kk-secluded vertex set C⊆V(G)C \subseteq V(G) such that G[C]G[C] does not contain an induced subgraph isomorphic to any F∈FF \in \mathcal{F}. The parameterization by kk is known to be solvable in triple-exponential time via the technique of recursive understanding, which we improve to single-exponential. Our second application concerns the deletion problem to scattered graph classes. Here, the task is to find a vertex set of size at most kk whose removal yields a graph whose each connected component belongs to one of the prescribed graph classes Π1,…,Πd\Pi_1, \ldots, \Pi_d. We obtain a single-exponential algorithm whenever each class Πi\Pi_i is characterized by a finite number of forbidden induced subgraphs. This generalizes and improves upon earlier results in the literature.

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