Efficient Algorithms for Euclidean Steiner Minimal Tree on Near-Convex Terminal Sets
Anubhav Dhar, Soumita Hait, Sudeshna Kolay

TL;DR
This paper investigates efficient algorithms for the Euclidean Steiner Minimal Tree problem on near-convex point sets, providing polynomial-time solutions for certain configurations and establishing complexity bounds related to points outside the convex hull.
Contribution
It introduces polynomial-time algorithms for specific near-convex configurations and characterizes the existence of FPTAS based on the number of points outside the convex hull.
Findings
Polynomial-time solvability for two regular, concentric, parallel n-gons when they are not close.
An exact algorithm with sub-exponential time for point sets with few points outside the convex hull.
Conditions under which FPTAS exists or does not exist based on the number of non-hull points.
Abstract
The Euclidean Steiner Minimal Tree problem takes as input a set of points in the Euclidean plane and finds the minimum length network interconnecting all the points of . In this paper, in continuation to the works of Du et al. and Weng et al., we study Euclidean Steiner Minimal Tree when is formed by the vertices of a pair of regular, concentric and parallel -gons. We restrict our attention to the cases where the two polygons are not very close to each other. In such cases, we show that Euclidean Steiner Minimal Tree is polynomial-time solvable, and we describe an explicit structure of a Euclidean Steiner minimal tree for . We also consider point sets of size where the number of input points not on the convex hull of is . We give an exact algorithm with running time $2^{\mathcal{O}(f(n)\log…
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