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Two types irregular labelling on dodecahedral modified generalization graph
Irregular labelling on graph is a function from component of graph to non-negative natural number such that the weight of all vertices, or edges are distinct. The component of graph is a set of vertices, a set of edges, or a set of both. In this paper we study two types of irregular labelling on dod...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638732/ https://www.ncbi.nlm.nih.gov/pubmed/36353170 http://dx.doi.org/10.1016/j.heliyon.2022.e11197 |
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author | Hinding, Nurdin Sugeng, Kiki A. Nurlindah Wahyudi, Timothy J. Simanjuntak, Rinovia |
author_facet | Hinding, Nurdin Sugeng, Kiki A. Nurlindah Wahyudi, Timothy J. Simanjuntak, Rinovia |
author_sort | Hinding, Nurdin |
collection | PubMed |
description | Irregular labelling on graph is a function from component of graph to non-negative natural number such that the weight of all vertices, or edges are distinct. The component of graph is a set of vertices, a set of edges, or a set of both. In this paper we study two types of irregular labelling on dodecahedral modified generalization graph. We determined the total vertex irregularity strength and the modular irregularity strength of dodecahedral modified generalized graph. These results are important because there many classes of graph have the same structure with modified dodecahedral graphs. These results can be used to determine the total vertex irregularity strength and the modular irregularity strength of other graphs that have the similar structure with modified dodecahedral graph. |
format | Online Article Text |
id | pubmed-9638732 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96387322022-11-08 Two types irregular labelling on dodecahedral modified generalization graph Hinding, Nurdin Sugeng, Kiki A. Nurlindah Wahyudi, Timothy J. Simanjuntak, Rinovia Heliyon Research Article Irregular labelling on graph is a function from component of graph to non-negative natural number such that the weight of all vertices, or edges are distinct. The component of graph is a set of vertices, a set of edges, or a set of both. In this paper we study two types of irregular labelling on dodecahedral modified generalization graph. We determined the total vertex irregularity strength and the modular irregularity strength of dodecahedral modified generalized graph. These results are important because there many classes of graph have the same structure with modified dodecahedral graphs. These results can be used to determine the total vertex irregularity strength and the modular irregularity strength of other graphs that have the similar structure with modified dodecahedral graph. Elsevier 2022-10-20 /pmc/articles/PMC9638732/ /pubmed/36353170 http://dx.doi.org/10.1016/j.heliyon.2022.e11197 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Hinding, Nurdin Sugeng, Kiki A. Nurlindah Wahyudi, Timothy J. Simanjuntak, Rinovia Two types irregular labelling on dodecahedral modified generalization graph |
title | Two types irregular labelling on dodecahedral modified generalization graph |
title_full | Two types irregular labelling on dodecahedral modified generalization graph |
title_fullStr | Two types irregular labelling on dodecahedral modified generalization graph |
title_full_unstemmed | Two types irregular labelling on dodecahedral modified generalization graph |
title_short | Two types irregular labelling on dodecahedral modified generalization graph |
title_sort | two types irregular labelling on dodecahedral modified generalization graph |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638732/ https://www.ncbi.nlm.nih.gov/pubmed/36353170 http://dx.doi.org/10.1016/j.heliyon.2022.e11197 |
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