Edge-connectivity augmentation problems
Journal of Computer and System Sciences
Augmenting graphs to meet edge-connectivity requirements
SIAM Journal on Discrete Mathematics
Minimal edge-coverings of pairs of sets
Journal of Combinatorial Theory Series B
Approximation algorithms for finding highly connected subgraphs
Approximation algorithms for NP-hard problems
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
Design networks with bounded pairwise distance
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Approximation algorithms for directed Steiner problems
Journal of Algorithms
Polylogarithmic inapproximability
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
An Iterative Rounding 2-Approximation Algorithm for the Element Connectivity Problem
FOCS '01 Proceedings of the 42nd IEEE symposium on Foundations of Computer Science
On the minimum local-vertex-connectivity augmentation in graphs
Discrete Applied Mathematics
Approximation algorithms for network design with metric costs
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Approximating connectivity augmentation problems
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
Independence free graphs and vertex connectivity augmentation
Journal of Combinatorial Theory Series B
On shredders and vertex connectivity augmentation
Journal of Discrete Algorithms
Inapproximability of Survivable Networks
APPROX '08 / RANDOM '08 Proceedings of the 11th international workshop, APPROX 2008, and 12th international workshop, RANDOM 2008 on Approximation, Randomization and Combinatorial Optimization: Algorithms and Techniques
An almost O(log k)-approximation for k-connected subgraphs
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
Improved approximating algorithms for Directed Steiner Forest
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
Inapproximability of survivable networks
Theoretical Computer Science
A note on Rooted Survivable Networks
Information Processing Letters
Approximating Node-Connectivity Augmentation Problems
APPROX '09 / RANDOM '09 Proceedings of the 12th International Workshop and 13th International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques
Approximating connectivity augmentation problems
ACM Transactions on Algorithms (TALG)
Improved approximation algorithms for Directed Steiner Forest
Journal of Computer and System Sciences
Approximating subset k-connectivity problems
WAOA'11 Proceedings of the 9th international conference on Approximation and Online Algorithms
Approximating subset k-connectivity problems
Journal of Discrete Algorithms
Hi-index | 0.00 |
The S-connectivity@l"G^S(u,v) of (u,v) in a graph G is the maximum number of uv-paths that no two of them have an edge or a node in S-{u,v} in common. The corresponding Connectivity Augmentation (CA) problem is: given a graph G"0=(V,E"0), S@?V, and requirements r(u,v) on VxV, find a minimum size set F of new edges (any edge is allowed) so that @l"G"""0"+"F^S(u,v)=r(u,v) for all u,v@?V. Extensively studied particular choices of S are the edge-CA (when S=@A) and the node-CA (when S=V). A. Frank gave a polynomial algorithm for undirected edge-CA and observed that the directed case even with rooted{0,1}-requirements is at least as hard as the Set-Cover problem (in rooted requirements there is s@?V-S so that if r(u,v)0 then: u=s for directed graphs, and u=s or v=s for undirected graphs). Both directed and undirected node-CA have approximation threshold @W(2^l^o^g^^^1^^^-^^^@e^n). The only polylogarithmic approximation ratio known for CA was for rooted requirements-O(logn@?logr"m"a"x)=O(log^2n), where r"m"a"x=max"u","v"@?"Vr(u,v). No nontrivial approximation algorithms were known for directed CA even for r(u,v)@?{0,1}, nor for undirected CA with S arbitrary. We give an approximation algorithm for the general case that matches the known approximation thresholds. For both directed and undirected CA with arbitrary requirements our approximation ratio is: O(logn) for SV arbitrary, and O(r"m"a"x@?logn) for S=V.