We consider extremal problems 'of Tur~ type' for r-uniform ordered hypergraphs, where multiple oriented edges are permitted up to multiplicity q. With any such '(r, q)-graph' G" we associate an r-linear form whose maximum over the standard (n -1)-simplex in R" is called the (graph-) density g(G ") o
Transversals of subtree hypergraphs and the source location problem in digraphs
β Scribed by Jan van den Heuvel; Matthew Johnson
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 134 KB
- Volume
- 51
- Category
- Article
- ISSN
- 0028-3045
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β¦ Synopsis
Abstract
A hypergraph H = (V,E) is a subtree hypergraph if there is a tree T on V such that each hyperedge of E induces a subtree of T. Since the number of edges of a subtree hypergraph can be exponential in n = |V|, one can not always expect to be able to find a minimum size transversal in time polynomial in n. In this paper, we show that if it is possible to decide if a set of vertices W β V is a transversal in time S(n) (where n = |V|), then it is possible to find a minimum size transversal in O(n^3^S(n)). This result provides a polynomial algorithm for the Source Location Problem: a set of (k,l)βsources for a digraph D = (V,A) is a subset S of V such that for any v β V there are k arcβdisjoint paths that each join a vertex of S to v and l arcβdisjoint paths that each join v to S. The Source Location Problem is to find a minimum size set of (k,l)βsources. We show that this is a case of finding a transversal of a subtree hypergraph, and that in this case S(n) is polynomial. Β© 2007 Wiley Periodicals, Inc. NETWORKS, 2008
π SIMILAR VOLUMES
A simulation study was performed to compare three statistical tests with respect to their performances in the two-sample location problem for contaminated normal distributions. The three tests were: the t-test, the rank-transformed t-test, and the Wilcoxon rank-sum test. The results showed the t-tes