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ACM Transactions on Algorithms
Article . 2025 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2024
License: CC BY
Data sources: Datacite
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Minimum Plane Bichromatic Spanning Trees

Authors: Hugo A. Akitaya; Ahmad Biniaz; Erik D. Demaine; Linda Kleist; Frederick Stock; Csaba D. Tóth;

Minimum Plane Bichromatic Spanning Trees

Abstract

For a set of red and blue points in the plane, a Minimum Bichromatic Spanning Tree (MinBST) is a shortest spanning tree of the points such that every edge has a red and a blue endpoint. A MinBST can be computed in \(O(n\log n)\) time where \( n \) is the number of points. In contrast to the standard Euclidean MST, which is always plane (noncrossing), a MinBST may have edges that cross each other. However, we prove that a MinBST is quasi-plane, that is, it does not contain three pairwise crossing edges, and we determine the maximum number of crossings. Moreover, we study the problem of finding a Minimum Plane Bichromatic Spanning Tree (MinPBST) which is a shortest bichromatic spanning tree with pairwise noncrossing edges. This problem is known to be NP-hard. The previous best approximation algorithm, due to Borgelt et al., has a ratio of \(O(\sqrt{n})\) . It is also known that the optimum solution can be computed in polynomial time in some special cases, for instance, when the points are in convex position, collinear, semi-collinear, or when one color class has constant size. We present an \(O(\log n)\) -factor approximation algorithm for the general case.

Keywords

Computational Geometry (cs.CG), FOS: Computer and information sciences, Minimum Spanning Tree, Bichromatic Spanning Tree, Computer Science - Computational Geometry, Plane Tree, 004, ddc: ddc:004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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