English

Approximation Algorithms for Vertex-Connectivity Augmentation on the Cycle

Data Structures and Algorithms 2021-11-04 v1

Abstract

Given a kk-vertex-connected graph GG and a set SS of extra edges (links), the goal of the kk-vertex-connectivity augmentation problem is to find a set SSS' \subseteq S of minimum size such that adding SS' to GG makes it (k+1)(k+1)-vertex-connected. Unlike the edge-connectivity augmentation problem, research for the vertex-connectivity version has been sparse. In this work we present the first polynomial time approximation algorithm that improves the known ratio of 2 for 22-vertex-connectivity augmentation, for the case in which GG is a cycle. This is the first step for attacking the more general problem of augmenting a 22-connected graph. Our algorithm is based on local search and attains an approximation ratio of 1.87041.8704. To derive it, we prove novel results on the structure of minimal solutions.

Keywords

Cite

@article{arxiv.2111.02234,
  title  = {Approximation Algorithms for Vertex-Connectivity Augmentation on the Cycle},
  author = {Waldo Gálvez and Francisco Sanhueza-Matamala and José A. Soto},
  journal= {arXiv preprint arXiv:2111.02234},
  year   = {2021}
}

Comments

Accepted at The 19th International Workshop on Approximation and Online Algorithms (WAOA 2021)

R2 v1 2026-06-24T07:24:27.463Z