A near optimal algorithm for vertex connectivity augmentation

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Abstract

Given an undirected graph G and a positive integer k, the k-vertex-connectivity augmentation problem is to find a smallest set F of new edges for which G+F is k-vertex-connected. Polynomial algorithms for this problem are known only for k ≤ 4 and a major open question in graph connectivity is whether this problem is solvable in polynomial time in general. For arbitrary k, a previous result of Jordán [14] gives a polynomial algorithm which adds an augmenting set F of size at most k − 3 more than the optimum, provided G is (k − 1)-vertex-connected. In this paper we develop a polynomial algorithm which makes an l-connected graph G k-vertex-connected by adding an augmenting set of size at most ((k − l)(k − 1) + 4)=2 more than (a new lower bound for) the optimum. This extends the main results of [14,15]. We partly follow and generalize the approach of [14] and we adapt the splitting off me-thod (which worked well on edge-connectivity augmentation problems) to vertex-connectivity. A key point in our proofs, which may also find applications elsewhere, is a new tripartite submodular inequality for the sizes of neighbour-sets in a graph.

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Jackson, B., & Jordán, T. (2000). A near optimal algorithm for vertex connectivity augmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1969, pp. 313–325). Springer Verlag. https://doi.org/10.1007/3-540-40996-3_27

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