Finding $k$-Secluded Trees Faster
June 20, 2022 Β· Declared Dead Β· π International Workshop on Graph-Theoretic Concepts in Computer Science
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Authors
Huib Donkers, Bart M. P. Jansen, Jari J. H. de Kroon
arXiv ID
2206.09884
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.CC
Citations
4
Venue
International Workshop on Graph-Theoretic Concepts in Computer Science
Last Checked
4 months ago
Abstract
We revisit the \textsc{$k$-Secluded Tree} problem. Given a vertex-weighted undirected graph $G$, its objective is to find a maximum-weight induced subtree $T$ whose open neighborhood has size at most $k$. We present a fixed-parameter tractable algorithm that solves the problem in time $2^{\mathcal{O}(k \log k)}\cdot n^{\mathcal{O}(1)}$, improving on a double-exponential running time from earlier work by Golovach, Heggernes, Lima, and Montealegre. Starting from a single vertex, our algorithm grows a $k$-secluded tree by branching on vertices in the open neighborhood of the current tree $T$. To bound the branching depth, we prove a structural result that can be used to identify a vertex that belongs to the neighborhood of any $k$-secluded supertree $T' \supseteq T$ once the open neighborhood of $T$ becomes sufficiently large. We extend the algorithm to enumerate compact descriptions of all maximum-weight $k$-secluded trees, which allows us to count the number of maximum-weight $k$-secluded trees containing a specified vertex in the same running time.
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