Connectivity graphs of uncertainty regions
Erin Chambers, Alejandro Erickson, S\'andor Fekete, Jonathan Lenchner,, Jeff Sember, Venkatesh Srinivasan, Ulrike Stege, Svetlana Stolpner,, Christophe Weibel, and Sue Whitesides

TL;DR
This paper investigates the connectivity of points within uncertain regions, focusing on minimizing maximum edge length in spanning trees under best-case and worst-case scenarios, providing complexity results and approximation algorithms.
Contribution
It introduces the BCU and WCU problems for uncertain regions, proves NP-hardness for simple cases, and offers exact and approximation algorithms for various scenarios.
Findings
BCU is NP-hard for line segments and squares.
Exact solution for mixed regions with fixed points and line segments.
Approximation algorithms for line segments and unit discs.
Abstract
We study connectivity relations among points, where the precise location of each input point lies in a region of uncertainty. We distinguish two fundamental scenarios under which uncertainty arises. In the favorable Best-Case Uncertainty (BU), each input point can be chosen from a given set to yield the best possible objective value. In the unfavorable Worst-Case Uncertainty (WU), the input set has worst possible objective value among all possible point locations, which are uncertain due, for example, to imprecise data. We consider these notions of uncertainty for the bottleneck spanning tree problem, giving rise to the following Best-Case Connectivity with Uncertainty (BCU) problem: Given a family of geometric regions, choose one point per region, such that the longest edge length of an associated geometric spanning tree is minimized. We show that this problem is NP-hard even for very…
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