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DOI: 10.14569/IJACSA.2026.0170448
PDF

Efficient Computation of Parametric Exponentiation in Parametric Algebra

Author 1: Khudoykulov Zarifjon
Author 2: Khudoynazarov Umidjon
Author 3: Muminova Mastura

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 17 Issue 4, 2026.

  • Abstract and Keywords
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Abstract: This study analyzes the computational efficiency of parametric exponentiation operations in parametric algebra and proposes an algorithmic approach for their fast computation. By leveraging the properties of parametric algebra, the possibility of reducing parametric exponentiation to fast exponentiation methods is established, and a corresponding computational algorithm is developed. The proposed approach enables more efficient computation of parametric exponentiation and reduces the computational impact of the system parameter. The obtained results provide a basis for reconsidering approaches to the efficiency of parametric algebra-based computations, demonstrating that the slowness of exponentiation often stems from the computational methods employed rather than the algebraic structure itself. This research establishes a significant foundation for the efficient organization of cryptographic computations based on parametric algebra and for addressing algorithmic optimization challenges.

Keywords: Parametric algebra; parametric multiplication; parametric exponentiation; computational efficiency; algebraic structures; computational complexity; fast exponentiation

Khudoykulov Zarifjon, Khudoynazarov Umidjon and Muminova Mastura. “Efficient Computation of Parametric Exponentiation in Parametric Algebra”. International Journal of Advanced Computer Science and Applications (IJACSA) 17.4 (2026). http://dx.doi.org/10.14569/IJACSA.2026.0170448

@article{Zarifjon2026,
title = {Efficient Computation of Parametric Exponentiation in Parametric Algebra},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2026.0170448},
url = {http://dx.doi.org/10.14569/IJACSA.2026.0170448},
year = {2026},
publisher = {The Science and Information Organization},
volume = {17},
number = {4},
author = {Khudoykulov Zarifjon and Khudoynazarov Umidjon and Muminova Mastura}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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