On vertex PI index of certain triangular tessellation networks
The Wiener index, due to its many applications is considered to be one of very important distance-based index. But the Padmaker-Ivan (PI) index is kind of the only distance related index linked to parallelism of edges. The PI index like other distance related indices has great disseminating power. T...
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De Gruyter
2021
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oai:doaj.org-article:1ba9d1eb83fd44afaa816563c8f9e5082021-12-05T14:10:55ZOn vertex PI index of certain triangular tessellation networks0792-12412191-021910.1515/mgmc-2021-0020https://doaj.org/article/1ba9d1eb83fd44afaa816563c8f9e5082021-06-01T00:00:00Zhttps://doi.org/10.1515/mgmc-2021-0020https://doaj.org/toc/0792-1241https://doaj.org/toc/2191-0219The Wiener index, due to its many applications is considered to be one of very important distance-based index. But the Padmaker-Ivan (PI) index is kind of the only distance related index linked to parallelism of edges. The PI index like other distance related indices has great disseminating power. The index was firstly investigated by Khadikar et al. (2001), they have probed the chemical applications of the PI index. They proved that the proposed PI index correlates highly with the physicochemical properties and biological activities of a large number of diverse and complex chemical compounds and the Wiener and Szeged indices. Recently, the vertex Padmarkar-Ivan (PIv) index of a chemical graph G was introduced as the sum over all edges uv of a molecular graph G of the vertices of the graph that are not equidistant to the vertices u and v. In this paper, the vertex PIv index of certain triangular tessellation are computed by using graph-theoretic analysis, combinatorial computing, and edge-dividing technology.Bokhary Syed Ahtsham Ul HaqAdnanDe Gruyterarticlepi indextriangular tessellationhexagonal network05c90ChemistryQD1-999ENMain Group Metal Chemistry, Vol 44, Iss 1, Pp 203-212 (2021) |
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pi index triangular tessellation hexagonal network 05c90 Chemistry QD1-999 |
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pi index triangular tessellation hexagonal network 05c90 Chemistry QD1-999 Bokhary Syed Ahtsham Ul Haq Adnan On vertex PI index of certain triangular tessellation networks |
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The Wiener index, due to its many applications is considered to be one of very important distance-based index. But the Padmaker-Ivan (PI) index is kind of the only distance related index linked to parallelism of edges. The PI index like other distance related indices has great disseminating power. The index was firstly investigated by Khadikar et al. (2001), they have probed the chemical applications of the PI index. They proved that the proposed PI index correlates highly with the physicochemical properties and biological activities of a large number of diverse and complex chemical compounds and the Wiener and Szeged indices. Recently, the vertex Padmarkar-Ivan (PIv) index of a chemical graph G was introduced as the sum over all edges uv of a molecular graph G of the vertices of the graph that are not equidistant to the vertices u and v. In this paper, the vertex PIv index of certain triangular tessellation are computed by using graph-theoretic analysis, combinatorial computing, and edge-dividing technology. |
format |
article |
author |
Bokhary Syed Ahtsham Ul Haq Adnan |
author_facet |
Bokhary Syed Ahtsham Ul Haq Adnan |
author_sort |
Bokhary Syed Ahtsham Ul Haq |
title |
On vertex PI index of certain triangular tessellation networks |
title_short |
On vertex PI index of certain triangular tessellation networks |
title_full |
On vertex PI index of certain triangular tessellation networks |
title_fullStr |
On vertex PI index of certain triangular tessellation networks |
title_full_unstemmed |
On vertex PI index of certain triangular tessellation networks |
title_sort |
on vertex pi index of certain triangular tessellation networks |
publisher |
De Gruyter |
publishDate |
2021 |
url |
https://doaj.org/article/1ba9d1eb83fd44afaa816563c8f9e508 |
work_keys_str_mv |
AT bokharysyedahtshamulhaq onvertexpiindexofcertaintriangulartessellationnetworks AT adnan onvertexpiindexofcertaintriangulartessellationnetworks |
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1718371587369992192 |