Phylogenetic diversity and the maximum coverage problem
β Scribed by Vincent Moulton; Andreas Spillner
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 376 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0893-9659
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β¦ Synopsis
For a weighted hypergraph (H, Ο), with vertex set X , edge set E, and weighting Ο : E β R β₯0 , the maximum coverage problem is to find a k-element subset Y β X that maximizes the total weight of those edges that have non-empty intersection with Y among all k-element subsets of X . Such a subset Y is called optimal. Recently, within the field of phylogenetics it has been shown that for certain weighted hypergraphs coming from phylogenetic trees the collection of optimal subsets of X forms a so-called strong greedoid. We call hypergraphs having this latter property strongly greedy. In this note we characterize the r-uniform hypergraphs H with unit edge weights that are strongly greedy in the case where r is a prime number.
π SIMILAR VOLUMES
In this paper, we consider a general covering problem in which k subsets are to be selected such that their union covers as large a weight of objects from a universal set of elements as possible. Each subset selected must satisfy some structural constraints. We analyze the quality of a k-stage cover
The minimum covering problem in weighted graphs with n vertices is transformed in time O(n 2) to the maximum matching problem with n or n + 1 vertices, and conversely.
## Abstract Inference of phylogenetic (evolutionary) trees comprising hundreds or thousands of organisms based on the maximum likelihood criterion is a computationally extremely intensive task. This paper describes the evolution of the AxML program family which provides novel algorithmic as well as