Computing VL Status Index of Composite Graphs
Authors
A. S. Maragadam1, *, Suvarna1, V. Lokesha1, Nirupadi K.2, I. H. Agustin3
1Department of Studies in Mathematics, Vijayanagara Sri Krishnadevaraya University, Ballari, India
2Department of Studies in Mathematics, Ballari Institute of Technology and Management, Ballari, India
3Department of Studies in Mathematics, Universitas Jember, Jember, Indonesia
*Corresponding author.
Email: maragadamvijay@gmail.com
Corresponding Author
A. S. Maragadam
Available Online 29 June 2024.
- DOI
- 10.2991/978-94-6463-445-7_5How to use a DOI?
- Keywords
- Status index; Degree; Distance; Connected graph; Topological coindices
- Abstract
In this study, we delve into the versatile application of the Neighborhood M-Polynomial (NM) in predicting a wide array of material characteristics. Our research investigates the capability of the neighborhood M-polynomial to discern neighborhood degree sum-based topological indices when analyzing synthetic polymers. These indices serve as pivotal tools, enabling us to accurately predict the diverse physical, chemical, and biological properties inherent in the materials under scrutiny.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - A. S. Maragadam AU - Suvarna AU - V. Lokesha AU - Nirupadi K. AU - I. H. Agustin PY - 2024 DA - 2024/06/29 TI - Computing VL Status Index of Composite Graphs BT - Proceedings of the 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023) PB - Atlantis Press SP - 32 EP - 42 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-445-7_5 DO - 10.2991/978-94-6463-445-7_5 ID - Maragadam2024 ER -