The geodesic cover problem for butterfly networks

Fuente: arXiv
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Main Authors: Manuel, Paul, Klavzar, Sandi, Prabha, R., Arokiaraj, Andrew
Format: Preprint
Published: 2022
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author Manuel, Paul
Klavzar, Sandi
Prabha, R.
Arokiaraj, Andrew
author_facet Manuel, Paul
Klavzar, Sandi
Prabha, R.
Arokiaraj, Andrew
contents A geodesic cover, also known as an isometric path cover, of a graph is a set of geodesics which cover the vertex set of the graph. An edge geodesic cover of a graph is a set of geodesics which cover the edge set of the graph. The geodesic (edge) cover number of a graph is the cardinality of a minimum (edge) geodesic cover. The (edge) geodesic cover problem of a graph is to find the (edge) geodesic cover number of the graph. Surprisingly, only partial solutions for these problems are available for most situations. In this paper we demonstrate that the geodesic cover number of the $r$-dimensional butterfly is $\lceil (2/3)2^r\rceil$ and that its edge geodesic cover number is $2^r$.
format Preprint
id arxiv_https___arxiv_org_abs_2210_12675
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle The geodesic cover problem for butterfly networks
Manuel, Paul
Klavzar, Sandi
Prabha, R.
Arokiaraj, Andrew
Combinatorics
Computational Complexity
A geodesic cover, also known as an isometric path cover, of a graph is a set of geodesics which cover the vertex set of the graph. An edge geodesic cover of a graph is a set of geodesics which cover the edge set of the graph. The geodesic (edge) cover number of a graph is the cardinality of a minimum (edge) geodesic cover. The (edge) geodesic cover problem of a graph is to find the (edge) geodesic cover number of the graph. Surprisingly, only partial solutions for these problems are available for most situations. In this paper we demonstrate that the geodesic cover number of the $r$-dimensional butterfly is $\lceil (2/3)2^r\rceil$ and that its edge geodesic cover number is $2^r$.
title The geodesic cover problem for butterfly networks
topic Combinatorics
Computational Complexity
url https://arxiv.org/abs/2210.12675