An $O(k^{3} log n)$-Approximation Algorithm for Vertex-Connectivity Survivable Network Design
Julia Chuzhoy, Sanjeev Khanna

TL;DR
This paper introduces a simple approximation algorithm with an $O(k^3 \, \log n)$ ratio for the vertex-connectivity survivable network design problem, improving understanding of its approximability.
Contribution
The paper presents a straightforward algorithm achieving an $O(k^3 \log n)$ approximation for vertex-connectivity SNDP, and offers a simplified proof for a related single-source case.
Findings
Achieves $O(k^3 \log n)$ approximation ratio.
Provides a simplified proof for $O(k^2 \log n)$ approximation.
Improves theoretical understanding of vertex-connectivity SNDP.
Abstract
In the Survivable Network Design problem (SNDP), we are given an undirected graph with costs on edges, along with a connectivity requirement for each pair of vertices. The goal is to find a minimum-cost subset of edges, that satisfies the given set of pairwise connectivity requirements. In the edge-connectivity version we need to ensure that there are edge-disjoint paths for every pair of vertices, while in the vertex-connectivity version the paths are required to be vertex-disjoint. The edge-connectivity version of SNDP is known to have a 2-approximation. However, no non-trivial approximation algorithm has been known so far for the vertex version of SNDP, except for special cases of the problem. We present an extremely simple algorithm to achieve an -approximation for this problem, where denotes the maximum connectivity…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Optimization and Search Problems · Advanced Graph Theory Research
