A nearly best-possible approximation algorithm for node-weighted Steiner trees
Journal of Algorithms
Iterative rounding 2-approximation algorithms for minimum-cost vertex connectivity problems
Journal of Computer and System Sciences - Special issue on FOCS 2001
Algorithms for Single-Source Vertex Connectivity
FOCS '08 Proceedings of the 2008 49th Annual IEEE Symposium on Foundations of Computer Science
Rooted k-connections in digraphs
Discrete Applied Mathematics
FOCS '09 Proceedings of the 2009 50th Annual IEEE Symposium on Foundations of Computer Science
Approximating minimum power covers of intersecting families and directed edge-connectivity problems
Theoretical Computer Science
Approximating Steiner Networks with Node-Weights
SIAM Journal on Computing
Survivable network design problems in wireless networks
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete Algorithms
Approximating subset k-connectivity problems
WAOA'11 Proceedings of the 9th international conference on Approximation and Online Algorithms
Approximating minimum-cost connectivity problems via uncrossable bifamilies
ACM Transactions on Algorithms (TALG)
ESA'12 Proceedings of the 20th Annual European conference on Algorithms
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In the Survivable Networks Activation problem we are given a graph G=(V,E), S⊆V, a family {fuv(xu,xv):uv∈E} of monotone non-decreasing activating functions from ℝ2+ to {0,1} each, and connectivity requirements {r(u,v):u,v∈V}. The goal is to find a weight assignmentw={wv:v∈V} of minimum total weight w(V)=∑v∈Vwv, such that: for all u,v∈V, the activated graphGw=(V,Ew), where Ew={uv:fuv(wu,wv)=1}, contains r(u,v) pairwise edge-disjoint uv-paths such that no two of them have a node in S∖{u,v} in common. This problem was suggested recently by Panigrahi [12], generalizing the Node-Weighted Survivable Network and the Minimum-Power Survivable Network problems, as well as several other problems with motivation in wireless networks. We give new approximation algorithms for this problem. For undirected/directed graphs, our ratios are O(k logn) for k-Out/In-connected Subgraph Activation and k-Connected Subgraph Activation. For directed graphs this solves a question from [12] for k=1, while for the min-power case and k arbitrary this solves an open question from [9]. For other versions on undirected graphs, our ratios match the best known ones for the Node-Weighted Survivable Network problem [8].