On the Complexity of the Minimum-($k,\rho$)-Shortcut Problem
Tatiana Rocha Avila, Julian Christoph Brinkmann, Alexander Leonhardt, Conrad Schecker

TL;DR
This paper investigates the computational complexity of the Minimum-$(k, ho)$-Shortcut problem, establishing NP-hardness for most parameter ranges and identifying a polynomial-time solvable case.
Contribution
It provides a simplified reduction proving NP-hardness for $k extgreater=2$ and $ ho extgreater= k+2$, and shows polynomial solvability for $ ho=k+1$ in undirected graphs.
Findings
NP-hardness for $k extgreater=2$ and $ ho extgreater= k+2$ in both directed and undirected graphs.
Polynomial-time solvability for $ ho=k+1$ in undirected graphs.
Remaining open case: $ ho=k+1$ in directed graphs.
Abstract
We consider the Minimum-- problem (), where the goal is to find the smallest set of shortcut edges such that every vertex in a given graph can reach its closest vertices using paths of at most edges. This is a fundamental graph optimization problem used to accelerate parallel shortest path algorithms. It is well-known that the problem is trivially solvable for the cases and . While recent work by Leonhardt, Meyer, and Penschuck (ESA 2024) showed that in undirected graphs is NP-hard for if , the boundary where the problem transitions from polynomial-time solvable to NP-hard remained open. In this paper, we narrow this gap significantly. We present a simpler and more direct reduction from the Hitting Set problem…
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