English

Computing the metric dimension by decomposing graphs into extended biconnected components

Computational Complexity 2018-06-28 v1 Discrete Mathematics Combinatorics

Abstract

A vertex set UVU \subseteq V of an undirected graph G=(V,E)G=(V,E) is a resolving set\textit{resolving set} for GG, if for every two distinct vertices u,vVu,v \in V there is a vertex wUw \in U such that the distances between uu and ww and the distance between vv and ww are different. The Metric Dimension\textit{Metric Dimension} of GG is the size of a smallest resolving set for GG. Deciding whether a given graph GG has Metric Dimension at most kk for some integer kk is well-known to be NP-complete. Many research has been done to understand the complexity of this problem on restricted graph classes. In this paper, we decompose a graph into its so called extended biconnected components\textit{extended biconnected components} and present an efficient algorithm for computing the metric dimension for a class of graphs having a minimum resolving set with a bounded number of vertices in every extended biconnected component. Further we show that the decision problem METRIC DIMENSION remains NP-complete when the above limitation is extended to usual biconnected components.

Keywords

Cite

@article{arxiv.1806.10389,
  title  = {Computing the metric dimension by decomposing graphs into extended biconnected components},
  author = {Duygu Vietz and Stefan Hoffmann and Egon Wanke},
  journal= {arXiv preprint arXiv:1806.10389},
  year   = {2018}
}
R2 v1 2026-06-23T02:43:21.246Z