Abstract
Here, we describe several basic facts about the combinatorial and computational structure of SMT’s and MST’s. Since we first consider arbitrary metric spaces we state only some general facts, namely
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(i)
An SMT for n given points has at most n — 2 Steiner points.
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(ii)
For any finite set N of points in a metric space the length of an MST for N is less than two times of the length of an SMT for N.
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(iii)
Isometric spaces are not distinguished in the sense of Steiner’s Problem.
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© 1998 Springer Science+Business Media Dordrecht
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Cieslik, D. (1998). SMT and MST in Metric Spaces — A Survey. In: Steiner Minimal Trees. Nonconvex Optimization and Its Applications, vol 23. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-6585-4_2
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DOI: https://doi.org/10.1007/978-1-4757-6585-4_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4790-1
Online ISBN: 978-1-4757-6585-4
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