, Volume 34, Issue 1, pp 98–107 | Cite as

Erratum: An Approximation Algorithm for Minimum-Cost Vertex-Connectivity Problems

  • Ravi
  • Williamson


There is an error in our paper ``An Approximation Algorithm for Minimum-Cost Vertex- Connectivity Problems'' (Algorithmica (1997), 18:21—43). In that paper we considered the following problem: given an undirected graph and values r ij for each pair of vertices i and j , find a minimum-cost set of edges such that there are r ij vertex-disjoint paths between vertices i and j . We gave approximation algorithms for two special cases of this problem. Our algorithms rely on a primal—dual approach which has led to approximation algorithms for many edge-connectivity problems. The algorithms work in a series of stages; in each stage an augmentation subroutine augments the connectivity of the current solution. The error is in a lemma for the proof of the performance guarantee of the augmentation subroutine.

In the case r ij = k for all i,j , we described a polynomial-time algorithm that claimed to output a solution of cost no more than 2 H (k) times optimal, where H = 1 + 1/2 + · · · + 1/n . This result is erroneous. We describe an example where our primal—dual augmentation subroutine, when augmenting a k -vertex connected graph to a (k+1) -vertex connected graph, gives solutions that are a factor Ω(k) away from the minimum.

In the case r ij ∈ {0,1,2} for all i,j , we gave a polynomial-time algorithm which outputs a solution of cost no more than three times the optimal. In this case we prove that the statement in the lemma that was erroneous for the k -vertex connected case does hold, and that the algorithm performs as claimed.

Key words. Approximation algorithm, Vertex connectivity, Survivable network design, Primal—dual method. 


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Copyright information

© Springer-Verlag New York 2002

Authors and Affiliations

  • Ravi
    • 1
  • Williamson
    • 2
  1. 1.GSIA, Carnegie Mellon University, Pittsburgh, PA 15213-3890, USA.
  2. 2.IBM Almaden Research Center, 650 Harry Rd. K53 / B1, San Jose, CA 95120, USA.

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