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Getting new algorithmic results by extending distance-hereditary graphs via split composition

In this paper, we consider the graph class denoted as Gen(∗;P(3),C(3),C(5)). It contains all graphs that can be generated by the split composition operation using path P(3), cycle C(3), and any cycle C(5) as components. This graph class extends the well-known class of distance-hereditary graphs, whi...

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Detalles Bibliográficos
Autores principales: Cicerone, Serafino, Di Stefano, Gabriele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8279144/
https://www.ncbi.nlm.nih.gov/pubmed/34307866
http://dx.doi.org/10.7717/peerj-cs.627
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author Cicerone, Serafino
Di Stefano, Gabriele
author_facet Cicerone, Serafino
Di Stefano, Gabriele
author_sort Cicerone, Serafino
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description In this paper, we consider the graph class denoted as Gen(∗;P(3),C(3),C(5)). It contains all graphs that can be generated by the split composition operation using path P(3), cycle C(3), and any cycle C(5) as components. This graph class extends the well-known class of distance-hereditary graphs, which corresponds, according to the adopted generative notation, to Gen(∗;P(3),C(3)). We also use the concept of stretch number for providing a relationship between Gen(∗;P(3),C(3)) and the hierarchy formed by the graph classes DH(k), with k ≥1, where DH(1) also coincides with the class of distance-hereditary graphs. For the addressed graph class, we prove there exist efficient algorithms for several basic combinatorial problems, like recognition, stretch number, stability number, clique number, domination number, chromatic number, and graph isomorphism. We also prove that graphs in the new class have bounded clique-width.
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spelling pubmed-82791442021-07-22 Getting new algorithmic results by extending distance-hereditary graphs via split composition Cicerone, Serafino Di Stefano, Gabriele PeerJ Comput Sci Algorithms and Analysis of Algorithms In this paper, we consider the graph class denoted as Gen(∗;P(3),C(3),C(5)). It contains all graphs that can be generated by the split composition operation using path P(3), cycle C(3), and any cycle C(5) as components. This graph class extends the well-known class of distance-hereditary graphs, which corresponds, according to the adopted generative notation, to Gen(∗;P(3),C(3)). We also use the concept of stretch number for providing a relationship between Gen(∗;P(3),C(3)) and the hierarchy formed by the graph classes DH(k), with k ≥1, where DH(1) also coincides with the class of distance-hereditary graphs. For the addressed graph class, we prove there exist efficient algorithms for several basic combinatorial problems, like recognition, stretch number, stability number, clique number, domination number, chromatic number, and graph isomorphism. We also prove that graphs in the new class have bounded clique-width. PeerJ Inc. 2021-07-07 /pmc/articles/PMC8279144/ /pubmed/34307866 http://dx.doi.org/10.7717/peerj-cs.627 Text en ©2021 Cicerone and Di Stefano https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.
spellingShingle Algorithms and Analysis of Algorithms
Cicerone, Serafino
Di Stefano, Gabriele
Getting new algorithmic results by extending distance-hereditary graphs via split composition
title Getting new algorithmic results by extending distance-hereditary graphs via split composition
title_full Getting new algorithmic results by extending distance-hereditary graphs via split composition
title_fullStr Getting new algorithmic results by extending distance-hereditary graphs via split composition
title_full_unstemmed Getting new algorithmic results by extending distance-hereditary graphs via split composition
title_short Getting new algorithmic results by extending distance-hereditary graphs via split composition
title_sort getting new algorithmic results by extending distance-hereditary graphs via split composition
topic Algorithms and Analysis of Algorithms
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8279144/
https://www.ncbi.nlm.nih.gov/pubmed/34307866
http://dx.doi.org/10.7717/peerj-cs.627
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