On Relaxation of Dominant Sets

Fuente: arXiv
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Main Author: Koster, Max
Format: Preprint
Published: 2022
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author Koster, Max
author_facet Koster, Max
contents In a graph $G = (V,E)$, a k-ruling set $S$ is one in which all vertices $V$ \ $S$ are at most $k$ distance from $S$. Finding a minimum k-ruling set is intrinsically linked to the minimum dominating set problem and maximal independent set problem, which have been extensively studied in graph theory. This paper presents the first known algorithm for solving all k-ruling set problems in conjunction with known minimum dominating set algorithms at only additional polynomial time cost compared to a minimum dominating set. The algorithm further succeeds for $(α, α- 1)$ ruling sets in which $α> 1$, for which constraints exist on the proximity of vertices v $\in S$. This secondary application instead works in conjunction with maximal independent set algorithms.
format Preprint
id arxiv_https___arxiv_org_abs_2206_13773
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle On Relaxation of Dominant Sets
Koster, Max
Data Structures and Algorithms
Discrete Mathematics
Combinatorics
05C69
G.2.2
In a graph $G = (V,E)$, a k-ruling set $S$ is one in which all vertices $V$ \ $S$ are at most $k$ distance from $S$. Finding a minimum k-ruling set is intrinsically linked to the minimum dominating set problem and maximal independent set problem, which have been extensively studied in graph theory. This paper presents the first known algorithm for solving all k-ruling set problems in conjunction with known minimum dominating set algorithms at only additional polynomial time cost compared to a minimum dominating set. The algorithm further succeeds for $(α, α- 1)$ ruling sets in which $α> 1$, for which constraints exist on the proximity of vertices v $\in S$. This secondary application instead works in conjunction with maximal independent set algorithms.
title On Relaxation of Dominant Sets
topic Data Structures and Algorithms
Discrete Mathematics
Combinatorics
05C69
G.2.2
url https://arxiv.org/abs/2206.13773