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On Topological Co-Indices of David Derived Networks

  • Yongzhou Lu
  • , Muhammad Kamran Siddiqui*
  • , Muhammad Nasir
  • , Muhammad Farhan Hanif
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Topological co-indices are topological files that think about the non-touching arrangements of vertices. Here, we think about the going with some notable topological co-indices. The mathematical qualities of atomic designs, called topological co-indices, which are utilized for the quantitative depiction of the structure of different networks are inspected. The strategy for topological co-indices is broken down as one of the methodologies for deciding the connection between the shape of a substance compounds and their properties. Theory of Chemical Graphs is a branch of graph theory that provides a wealth of possibilities for the scientist. Mathematical chemistry combines graph theory with science, relying on molecular graphs, which include vertices that represent molecules atoms and edges that represent molecules bonds. By using chart fundamental examination and allowance, we study the recently referenced topological co-indices of some engineered nuclear diagrams that as regularly as conceivable appear in clinical, manufactured, and material planning. In this paper, we examine the two sort of David Networks and gain the computation formulae of the co-indices of these organizations. Plus, we examine the results by MATLAB and gain the relationship of the co-indices which they depict the physcio-substance properties.

Original languageEnglish
Pages (from-to)5871-5882
Number of pages12
JournalIETE Journal of Research
Volume69
Issue number9
DOIs
StatePublished - 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 IETE.

Keywords

  • David derived networks
  • Dominating david derived networks
  • F-Coindex
  • General Randi Coindex
  • Topological coindices
  • Zagreb-type coindices

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science Applications
  • Electrical and Electronic Engineering

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