Acta Scientific Computer Sciences

Research Article Volume 5 Issue 1

On Super Root Square Mean Labeling of Some Cycle Related Graphs

Marlo James M Orias and Ariel C Pedrano*

Department of Mathematics and Statistics, University of Southeastern Philippines, Davao City, Republic of the Philippines

*Corresponding Author: Ariel C Pedrano, Department of Mathematics and Statistics, University of Southeastern Philippines, Davao City, Republic of the Philippines.

Received: September 15, 2022; Published: December 09, 2022

Abstract

Let f: V (G) → {1, 2, 3, . . ., p + q} be an injective function. For each edge e = uv let f *(e = uv) defined by Then f is called a super root square mean labeling if f (V) ∪{f ∗(e): e ∈ E(G)} = {1, 2, 3, . . ., p + q}. A graph which admits super root square mean labeling is called super root square mean graph. In this paper, we determined the super root square mean labeling of the Sunlet, Middle Cycle, Polygonal Chain, Alternate Polygonal Chain and Kayak Paddle Graphs.

Keywords: Graph Labeling; Super Root Square Mean Labeling; Cycle Related Graphs

References

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  5. Lakshmi Prasanna N., et al. “Applications of Graph Labeling in Communication Networks, Department of CSE, Vignans Lara Institute of Technology and Science, Guntur - 522 124, India”. Professor and Principal of Bapatla Engineering College, Bapatla, Guntur, India.
  6. Sandhya SS., et al. “Some Results on Super Root Square Mean Labeling”. Communicated to International Journal of Mathematics and Soft Computing.
  7. Sandhya SS., et al. “Super Root Square Mean Labelling of Graphs”. Asia Pacific Journal of Research 1 (2016): 162-166.
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Citation

Citation: Marlo James M Orias and Ariel C Pedrano. “On Super Root Square Mean Labeling of Some Cycle Related Graphs".Acta Scientific Computer Sciences 5.1 (2023): 40-48.

Copyright

Copyright: © 2023 Marlo James M Orias and Ariel C Pedrano. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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Acceptance rate35%
Acceptance to publication20-30 days

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