Complexity framework for forbidden subgraphs IV: The Steiner Forest problem
Journal of Computer and System Sciences, vol. 154, pp. 103682
Abstract
We study Steiner Forest on H -subgraph-free graphs, that is, graphs that do not contain some fixed graph H as a (not necessarily induced) subgraph. In contrast to the related Steiner Tree problem, Steiner Forest falls outside a recent framework that completely characterizes the complexity of many problems on H -subgraph-free graphs. Hence, the complexity of Steiner Forest on H -subgraph-free graphs remained open. Our main results are four polynomial-time algorithms for different excluded graphs H that are central to further understand its complexity. We also study the complexity of Steiner Forest for graphs with a small c -deletion set, that is, a small set X of vertices such that each connected component of G − X has size at most c . For this parameter, we give two algorithms that we later employ as subroutines (including a faster algorithm when c = 1 , that is, the vertex cover number) and exhibit a dichotomy theorem.
Authors 8
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Affiliation as printed
Department of Information and Computing Sciences, Utrecht University, Princetonplein 5, 3584 GT, Utrecht, the Netherlands
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Affiliation as printed
Department of Computer Science, Durham University, Stockton Road, DH1 3LE, Durham, United Kingdom
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Affiliation as printed
Department of Computer Science, Durham University, Stockton Road, DH1 3LE, Durham, United Kingdom
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Affiliation as printed
Department of Information and Computing Sciences, Utrecht University, Princetonplein 5, 3584 GT, Utrecht, the Netherlands
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Affiliation as printed
Department of Computer Science, RWTH Aachen, Ahornstrasse 55, E1, 52074, Aachen, Germany
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Affiliation as printed
Department of Computer Science, Durham University, Stockton Road, DH1 3LE, Durham, United Kingdom
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Affiliation as printed
Department of Computer Science, Loughborough University, LE11 3TU, Loughborough, United Kingdom
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Erik Jan van Leeuwen corresponding
Affiliation as printed
Department of Information and Computing Sciences, Utrecht University, Princetonplein 5, 3584 GT, Utrecht, the Netherlands
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