Fast deterministic algorithms for computing all eccentricities in (hyperbolic) Helly graphs
Feodor F. Dragan, Guillaume Ducoffe, Heather M. Guarnera

TL;DR
This paper presents deterministic and parameterized linear-time algorithms for computing all eccentricities, radius, and diameter in Helly graphs, significantly improving efficiency over previous probabilistic methods.
Contribution
It introduces a deterministic ${ m O}(m oot n)$ time algorithm and a parameterized linear-time algorithm based on hyperbolicity for all eccentricity computations in Helly graphs.
Findings
Deterministic ${ m O}(m oot n)$ time algorithm for all eccentricities.
Linear-time algorithm parameterized by hyperbolicity $oldsymbol{igO(oldsymbol{ ext{delta}} m)}$.
Structural properties of Helly graphs enable these efficient algorithms.
Abstract
A graph is Helly if every family of pairwise intersecting balls has a nonempty common intersection. The class of Helly graphs is the discrete analogue of the class of hyperconvex metric spaces. It is also known that every graph isometrically embeds into a Helly graph, making the latter an important class of graphs in Metric Graph Theory. We study diameter, radius and all eccentricity computations within the Helly graphs. Under plausible complexity assumptions, neither the diameter nor the radius can be computed in truly subquadratic time on general graphs. In contrast to these negative results, it was recently shown that the radius and the diameter of an -vertex -edge Helly graph can be computed with high probability in time (i.e., subquadratic in ). In this paper, we improve that result by presenting a deterministic ${\mathcal…
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Taxonomy
TopicsGeometric and Algebraic Topology · Computational Geometry and Mesh Generation · Advanced Graph Theory Research
