Steiner Forest for $H$-Subgraph-Free Graphs
Tala Eagling-Vose, David C. Kutner, Felicia Lucke, D\'aniel Marx, Barnaby Martin, Dani\"el Paulusma, Erik Jan van Leeuwen

TL;DR
This paper classifies the computational complexity of Steiner Forest on $H$-subgraph-free graphs for all connected $H$, introducing new algorithms, hardness results, and combinatorial insights to delineate polynomial-time solvability from NP-completeness.
Contribution
It provides a complete complexity classification for Steiner Forest on $H$-subgraph-free graphs, including new polynomial-time algorithms and hardness proofs, along with combinatorial characterizations.
Findings
Polynomial-time algorithms for specific graph classes.
NP-completeness results for graphs with 2-deletion set number 3.
Dichotomy for graphs with bounded $c$-deletion set number.
Abstract
Our main result is a full classification, for every connected graph , of the computational complexity of Steiner Forest on -subgraph-free graphs. To obtain this dichotomy, we establish the following new algorithmic, hardness, and combinatorial results: Algorithms: We identify two new classes of graph-theoretical structures that make it possible to solve Steiner Forest in polynomial time. Roughly speaking, our algorithms handle the following cases: (1) a set of vertices of bounded size that are pairwise connected by subgraphs of treewidth or bounded size, possibly together with an independent set of arbitrary size that is connected to in an arbitrary way; (2) a set of vertices of arbitrary size that are pairwise connected in a cyclic manner by subgraphs of treewidth or bounded size. Hardness results: We show that Steiner Forest remains NP-complete for graphs…
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Taxonomy
TopicsAdvanced Graph Theory Research · Complexity and Algorithms in Graphs · Genome Rearrangement Algorithms
