F. Foucaud
Identification, location-domination and metric dimension on interval and permutation graphs. II. Algorithms and complexity
Foucaud, F.; Mertzios, G.B.; Naserasr, R.; Parreau, A.; Valicov, P.
Authors
Dr George Mertzios george.mertzios@durham.ac.uk
Associate Professor
R. Naserasr
A. Parreau
P. Valicov
Abstract
We consider the problems of finding optimal identifying codes, (open) locating-dominating sets and resolving sets (denoted Identifying Code, (Open) Open Locating-Dominating Set and Metric Dimension) of an interval or a permutation graph. In these problems, one asks to distinguish all vertices of a graph by a subset of the vertices, using either the neighbourhood within the solution set or the distances to the solution vertices. Using a general reduction for this class of problems, we prove that the decision problems associated to these four notions are NP-complete, even for interval graphs of diameter 2 and permutation graphs of diameter 2. While Identifying Code and (Open) Locating-Dominating Set are trivially fixed-parameter-tractable when parameterized by solution size, it is known that in the same setting Metric Dimension is W[2]-hard. We show that for interval graphs, this parameterization of Metric Dimension is fixed-parameter-tractable.
Citation
Foucaud, F., Mertzios, G., Naserasr, R., Parreau, A., & Valicov, P. (2016). Identification, location-domination and metric dimension on interval and permutation graphs. II. Algorithms and complexity. Algorithmica, 78(3), 914-944. https://doi.org/10.1007/s00453-016-0184-1
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 6, 2016 |
Online Publication Date | Jul 14, 2016 |
Publication Date | Jul 14, 2016 |
Deposit Date | Sep 1, 2016 |
Publicly Available Date | Jul 14, 2017 |
Journal | Algorithmica |
Print ISSN | 0178-4617 |
Electronic ISSN | 1432-0541 |
Publisher | Springer |
Peer Reviewed | Peer Reviewed |
Volume | 78 |
Issue | 3 |
Pages | 914-944 |
DOI | https://doi.org/10.1007/s00453-016-0184-1 |
Public URL | https://durham-repository.worktribe.com/output/1375655 |
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Copyright Statement
The final publication is available at Springer via https://doi.org/10.1007/s00453-016-0184-1
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