Generating MATLAB Coding on Vedic Mathematics Sutra
DOI:
https://doi.org/10.55544/ijrah.6.4.35Keywords:
Vedic Ganit sutra and sub-sutra, Vedas, Arithmetic techniquesAbstract
This paper explores the connections between different methodologies and the principles of Vedic Mathematics via generating codes of MATLAB. Ancient India has played a major role in the growth of mathematics, especially through Vedic Mathematics, which offers quick and intuitive methods for performing arithmetic, algebraic, and geometric calculations. This paper focuses on implementing several important Vedic Mathematical techniques in MATLAB to showcase their algorithmic efficiency and usefulness in teaching. It also introduces a MATLAB-based method for supporting accurate digital handling of classical mathematical material. By combining these traditional mathematical ideas with modern computational tools, the study connects historical knowledge with present-day programming practices. The findings demonstrate how Vedic Mathematics can improve computational performance while preserving its cultural as well as mental ability and critical thinking. Overall, this work provides valuable support for educational purposes and future research in computational India’s mathematical heritage.
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References
Thomas, J. Routt (2005). Quantum Computing: The Vedic Fabric of the Digital Universe. 1stWorld Library Publishers, Paperback – Import.
Tirtha, S. B. K. & Agrawala, V. S. (1992). Vedic mathematics (Vol. 10). Motilal Banarsidass Publisher
Williams, K. & Gaskell, M. (2002). The cosmic calculator: A Vedic mathematics course for schools (Vol. 3). Motilal Banarsidass Publisher
Reddy, B. N. K. (2020). Design and implementation of high performance and area efficient square architecture using Vedic Mathematics. Analog integrated circuits and signal processing, 102(3), 501-506.
Sharma, A., Kumar, A. & Basotia, V. (2024). Application of Vedic Mathematics Sutras for Solving Ordinary Differential Equation and Integro-differential equation. International Journal of Engineering Development and Research, 12(3), 45-53.
Sklyar, V. (2017). Vedic mathematics as fast algorithms in green computing for internet of things. Green IT Engineering: Components, Networks and Systems Implementation, 3-21.
Thakare, L. P., Deshmukh, A. Y. & Khandale, G. D. (2014). Vhdl implementation of complex number multiplier using vedic mathematics. In Proceedings of International Conference on Soft Computing Techniques and Engineering Application: ICSCTEA 2013, September 25-27, 2013, Kunming, China (pp. 403-410). Springer India.
Devi, S. (2020). Applications of Vedic mathematics in Algebra. International Research Journal on Advanced Science Hub, 2(11S), 61-63.
Divakaran, P. P. (2018). The Mathematics of India. Sources and Studies in the History of Mathematics and Physical Sciences. [Versión de Springer].
Giri, M. P., Panthi, D., Jha, K. & Dhakal, M. Implementation of Vedic principles in python programming. International Journal of Computing, Programming and Database Management, 5(2), 34-40.
Kalaiselvi, C. M. & Sabeenian, R. S. (2024). Design of areaspeed efficient Anurupyena Vedic multiplier for deep learning applications. Analog Integrated Circuits and Signal Processing, 119(3), 521-533.
Kenneth, R. W. (1984). Discover Vedic mathematics. Delhi: Motilal Banarsidass Publishers.
Khare, H. C. (2006). Issues in Vedic Mathematics: Proceedings of the National Workshop on Vedic Mathematics. Motilal Banarsidass.
Khare, S. (2022). Generalization of Yavadunam Sutra for Finding the nth Power of any Number. International Journal of Mathematics Trends and Technology.
Khare (2025). Exploring Vedic Mathematics with MATLAB Algorithms International Journal on emerging Technologies.16(2)(1-5)
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