In this paper an inverse problem of the weighted shortest arborescence problem is discussed. That is. given a directed graph G and a set of nonnegative costs on its arcs. we need to modify those costs as little as possible to ensure that T, a given (.I-arborescence of G, is the shortest one. It is
Two Algorithms for Unranking Arborescences
โ Scribed by Charles J. Colbourn; Wendy J. Myrvold; Eugene Neufeld
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 147 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0196-6774
No coin nor oath required. For personal study only.
โฆ Synopsis
ลฝ 3 . Colbourn, Day, and Nel developed the first algorithm requiring at most O n ลฝ arithmetic operations for ranking and unranking spanning trees of a graph n is the . number of vertices of the graph . We present two algorithms for the more general problem of ranking and unranking rooted spanning arborescences of a directed ลฝ 3 . graph. The first is conceptually very simple and requires O n arithmetic operations. The second approach shows that the number of arithmetic operations can be reduced to the same as that of the best known algorithms for matrix multiplication.
๐ SIMILAR VOLUMES
In this paper, we present a branch-and-cut algorithm for the exact solution of an NP-hard extension of the well-known Minimum-Weight Arborescence (MWA) problem, in which resource constraints for each node are considered. This Resource-Constrained Minimum-Weight Arborescence (RMWA) problem arises, e.