Connectivity Graphs of Uncertainty Regions

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 , each input point can be chosen from a given set to yield the...

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Veröffentlicht in:Algorithmica Jg. 78; H. 3; S. 990 - 1019
Hauptverfasser: Chambers, Erin, Erickson, Alejandro, Fekete, Sándor P., Lenchner, Jonathan, Sember, Jeff, Srinivasan, Venkatesh, Stege, Ulrike, Stolpner, Svetlana, Weibel, Christophe, Whitesides, Sue
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.07.2017
Springer Nature B.V
Schlagworte:
Algorithm Analysis and Problem Complexity
Algorithms
Approximation
Computer Science
Computer Systems Organization and Communication Networks
Connectivity
Data Structures and Information Theory
Disks
Graphs
Mathematical analysis
Mathematics of Computing
Segments
Theory of Computation
Uncertainty
Connectivity
Worst-case connectivity
Uncertainty
Geometric optimization
Best-case connectivity
ISSN:0178-4617, 1432-0541
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Zusammenfassung: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 , each input point can be chosen from a given set to yield the best possible objective value. In the unfavorable Worst-Case Uncertainty , 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 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 simple scenarios in which the regions are line segments or squares. On the other hand, we give an exact solution for the case in which there are n + k regions, where k of the regions are line segments and n of the regions are fixed points. We then give approximation algorithms for cases where the regions are either all line segments or all unit discs. We also provide approximation methods for the corresponding Worst-Case Connectivity with Uncertainty problem: Given a set of uncertainty regions, find the minimal distance r such that for any choice of points, one per region, there is a spanning tree among the points with edge length at most r .
Bibliographie:ObjectType-Article-1
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content type line 14
ISSN:0178-4617
1432-0541
DOI:10.1007/s00453-016-0191-2