Augmenting graphs to meet edge-connectivity requirements
SIAM Journal on Discrete Mathematics
Computing edge-connectivity in multigraphs and capacitated graphs
SIAM Journal on Discrete Mathematics
Augmenting undirected edge connectivity in Õ(n2) time
Journal of Algorithms
Minimum cost source location problem with vertex-connectivity requirements in digraphs
Information Processing Letters
Locating sources to meet flow demands in undirected networks
Journal of Algorithms
Graph connectivity and its augmentation: applications of MA orderings
Discrete Applied Mathematics
Minimum augmentation of edge-connectivity with monotone requirements in undirected graphs
CATS '07 Proceedings of the thirteenth Australasian symposium on Theory of computing - Volume 65
Note: Covering symmetric semi-monotone functions
Discrete Applied Mathematics
Graph Orientations with Set Connectivity Requirements
ISAAC '09 Proceedings of the 20th International Symposium on Algorithms and Computation
A new approach to splitting-off
IPCO'08 Proceedings of the 13th international conference on Integer programming and combinatorial optimization
Design method of robust networks against performance deterioration during failures
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Augmenting edge-connectivity between vertex subsets
CATS '09 Proceedings of the Fifteenth Australasian Symposium on Computing: The Australasian Theory - Volume 94
Covering skew-supermodular functions by hypergraphs of minimum total size
Operations Research Letters
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Given an undirected multigraph G = (V, E), a family W of sets W ⊆ V of vertices (areas), and a requirement function r : W → Z+ (where Z+ is the set of nonnegative integers) we consider the problem of augmenting G by the smallest number of new edges so that the resulting graph has at least r(W) edge-disjoint paths between v and W for every pair of a vertex v ∈ V and an area W ∈ W. So far this problem was shown to be NP-hard in the uniform case of r(W) = 1 for each W ∈ W, and polynomially solvable in the uniform case of r(W) = r ≥ 2 for each W ∈ W. In this paper, we show that the problem can be solved in O(m + pn4(r* + logn)) time, even if r(W) ≥ 2 holds for each W ∈ W, where n = |V|, m = |{{u, v}|(u, v) ∈ E}|, p = |W|, and r* = max{r(W)|W ∈ W}.