On the parameterized complexity of lineal topologies (depth-first spanning trees) with many or few leaves

This paper considers four problems with possible applications in network design: Given a graph G with | G | = n and an integer k ≥ 0 , does G have a DFS tree with (i) ≤ k leaves, (ii) ≥ k leaves, (iii) ≤ n − k leaves, and (iv) ≥ n − k leaves? We show that all four problems are NP-hard. When parameterized by k , we prove that while (i) is para-NP-hard and (ii) is W[1]-hard, both (iii) and (iv) admit polynomial kernels with O ( k 3 ) vertices, implying FPT algorithms running in k O ( k ) ⋅ n O ( 1 ) time. Our polynomial kernels are based on a O ( k ) -sized vertex cover structure associated with the solution of these problems. As a byproduct, we obtain polynomial kernels for these problems parameterized by the vertex cover number of the input graph.

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Publication Details

Journal
Journal of Computer and System Sciences
Published
2025-05-27
DOI
https://doi.org/10.1016/j.jcss.2025.103680
Primary Topic
Advanced Graph Theory Research
Type
article
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article

On the parameterized complexity of lineal topologies (depth-first spanning trees) with many or few leaves

Emmanuel Sam, Frances Rosamond, Petr A. Golovach, Michael R. Fellows et al.
Journal of Computer and System Sciences
Advanced Graph Theory Research
article

On the parameterized complexity of lineal topologies (depth-first spanning trees) with many or few leaves

Emmanuel Sam, Frances Rosamond, Petr A. Golovach, Michael R. Fellows, Benjamin Bergougnoux, Nello Blaser
article en

Abstract

This paper considers four problems with possible applications in network design: Given a graph G with | G | = n and an integer k ≥ 0 , does G have a DFS tree with (i) ≤ k leaves, (ii) ≥ k leaves, (iii) ≤ n − k leaves, and (iv) ≥ n − k leaves? We show that all four problems are NP-hard. When parameterized by k , we prove that while (i) is para-NP-hard and (ii) is W[1]-hard, both (iii) and (iv) admit polynomial kernels with O ( k 3 ) vertices, implying FPT algorithms running in k O ( k ) ⋅ n O ( 1 ) time. Our polynomial kernels are based on a O ( k ) -sized vertex cover structure associated with the solution of these problems. As a byproduct, we obtain polynomial kernels for these problems parameterized by the vertex cover number of the input graph.

Journal of Computer and System SciencesVol. 154
University of Bergen (NO), University of Warsaw (PL), Lebanese American University (LB)
Openalex Percentile: Top 87%
Advanced Graph Theory Research
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