Abstract
A realization of a metric on a finite set is a weighted graph whose vertex set contains such that the shortest-path distance between elements of considered as vertices in is equal to . Such a realization is called optimal if the sum of its edge weights is minimal over all such realizations. Optimal realizations always exist, although it is NP-hard to compute them in general, and they have applications in areas such as phylogenetics, electrical networks and internet tomography. A. Dress (1984) showed that the optimal realizations of a metric are closely related to a certain polytopal complex that can be canonically associated to called its tight-span. Moreover, he conjectured that the (weighted) graph consisting of the zero- and one-dimensional faces of the tight-span of must always contain an optimal realization as a homeomorphic subgraph. In this paper, we prove that this conjecture does indeed hold for a certain class of metrics, namely the class of totally-decomposable metrics whose tight-span has dimension two. As a corollary, it follows that the minimum Manhattan network problem is a special case of finding optimal realizations of two-dimensional totally-decomposable metrics.
| Original language | English |
|---|---|
| Pages (from-to) | 1289–1299 |
| Number of pages | 11 |
| Journal | Discrete Mathematics |
| Volume | 338 |
| Issue number | 8 |
| Early online date | 16 Mar 2015 |
| DOIs | |
| Publication status | Published - 6 Aug 2015 |
Profiles
-
Vincent Moulton
- School of Computing Sciences - Professor in Computational Biology
- Norwich Epidemiology Centre - Member
- Computational Biology - Group Lead
Person: Research Group Member, Academic, Teaching and Research
-
Taoyang Wu
- School of Computing Sciences - Associate Professor in Computing Sciences
- Centre for Ecology, Evolution and Conservation - Member
- Computational Biology - Member
- Data Science and AI - Associate Member
- Health Computing - Associate Member
Person: Research Group Member, Research Centre Member, Academic, Teaching and Research
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