Python Coding with Fibonacci Mean Anti-magic Labeling for Lagoon Step Graphs.

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Bibliographic Details
Title: Python Coding with Fibonacci Mean Anti-magic Labeling for Lagoon Step Graphs.
Authors: Vasanthi, J.1 vasanthij1977@gmail.com, Ramya, N.2 drramyamaths@gmail.com
Source: IAENG International Journal of Applied Mathematics. Apr2026, Vol. 56 Issue 4, p1248-1253. 6p.
Subjects: Graph labelings, Fibonacci sequence, Graph theory, Injective functions, Python programming language, Algorithms
Abstract: Fibonacci Mean Anti-Magic labeling (FMAL) is investigated in this work using the Four Intersection Mirror Lagoon Step graph (FIM Ln Sm) and Four Intersection Opposite Lagoon Step graph (FIO Ln Sm). A graph of FMAL is an injective function f: V(G) → {F2, F3, F4...Fn+1}, such that Fibonacci nth number is termed as Fn ... and all these labeling are unique, the inferred function f*: E(G) → N is derived. In addition, the given Python code for the Fibonacci Mean Anti Magic Labeling of the FIO Ln Sm and FIM Ln Sm. [ABSTRACT FROM AUTHOR]
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Abstract:Fibonacci Mean Anti-Magic labeling (FMAL) is investigated in this work using the Four Intersection Mirror Lagoon Step graph (FIM Ln Sm) and Four Intersection Opposite Lagoon Step graph (FIO Ln Sm). A graph of FMAL is an injective function f: V(G) → {F2, F3, F4...Fn+1}, such that Fibonacci nth number is termed as Fn ... and all these labeling are unique, the inferred function f*: E(G) → N is derived. In addition, the given Python code for the Fibonacci Mean Anti Magic Labeling of the FIO Ln Sm and FIM Ln Sm. [ABSTRACT FROM AUTHOR]
ISSN:19929978