Facility location and the geometric minimum-diameter spanning tree
Computational Geometry: Theory and Applications - Special issue on computational geometry - EWCG'02
Euclidean chains and their shortcuts
COCOA'11 Proceedings of the 5th international conference on Combinatorial optimization and applications
Euclidean chains and their shortcuts
Theoretical Computer Science
Minimum diameter cost-constrained Steiner trees
Journal of Combinatorial Optimization
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Given a set P of points in the plane, a geometric minimum-diameter spanning tree (GMDST) of P is a spanning tree of P such that the longest path through the tree is minimized. For several years, the best upper bound on the time to compute a GMDST was cubic with respect to the number of points in the input set. Recently, Timothy Chan introduced a subcubic time algorithm. In this paper we present an algorithm that generates a tree whose diameter is no more than (1 + ε) times that of a GMDST, for any ε 0. Our algorithm reduces the problem to several grid-aligned versions of the problem and runs within time $O(ε-3+ n) and space O(n).