Subexponential Parameterized Directed Steiner Network Problems on Planar Graphs: a Complete Classification
Esther Galby, Sandor Kisfaludi-Bak, Daniel Marx, Roohani Sharma

TL;DR
This paper provides a complete classification of the parameterized complexity of the Directed Steiner Network problem on planar graphs, revealing precise thresholds for subexponential algorithms based on demand patterns.
Contribution
It unifies and generalizes previous results by characterizing the complexity of all demand graph classes on planar graphs under ETH assumptions.
Findings
Problem is either solvable in 2^{O(k)}n^{O(1)} or not in 2^{o(k)}n^{O(1)}.
Problem admits a f(k)n^{O(√k)} algorithm or not in f(k)n^{o(√k)}.
Problem can be solved in f(k)n^{O(k)} but not in f(k)n^{o(k)}.
Abstract
In the Directed Steiner Network problem, the input is a directed graph G, a subset T of k vertices of G called the terminals, and a demand graph D on T. The task is to find a subgraph H of G with the minimum number of edges such that for every edge (s,t) in D, the solution H contains a directed s to t path. In this paper we investigate how the complexity of the problem depends on the demand pattern when G is planar. Formally, if \mathcal{D} is a class of directed graphs closed under identification of vertices, then the \mathcal{D}-Steiner Network (\mathcal{D}-SN) problem is the special case where the demand graph D is restricted to be from \mathcal{D}. For general graphs, Feldmann and Marx [ICALP 2016] characterized those families of demand graphs where the problem is fixed-parameter tractable (FPT) parameterized by the number k of terminals. They showed that if \mathcal{D} is a…
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