Authors :
Sandeep Kumar
Volume/Issue :
Volume 11 - 2026, Issue 8 - August
Google Scholar :
https://tinyurl.com/3dwd3y7s
Scribd :
https://tinyurl.com/3f3dc4h7
DOI :
https://doi.org/10.38124/ijisrt/26aug133
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working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and
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Abstract :
Vedic Mathematics offers a collection of efficient computational techniques that simplify algebraic manipulations
and enhance problem-solving speed. This paper investigates the applicability of selected Vedic methods, namely Paravartya
Yojayet, Lopana-Sthapanabhyam, Adyamadyena Antyamantyena, Vilokanam, and Anurupyena, for solving cubic
equations. The study demonstrates that these techniques can rapidly determine roots and factorization of cubic polynomials
when the equations exhibit identifiable structural characteristics such as rational roots, proportional coefficients, symmetry,
or recognizable factorization patterns. Several illustrative examples are presented to compare the efficiency of Vedic
approaches with conventional algebraic methods. The analysis reveals that Vedic techniques significantly reduce
computational complexity and improve mathematical intuition for a broad class of structured cubic equations. However,
their applicability is limited for arbitrary cubic equations lacking discernible patterns or rational roots. In such cases,
classical algebraic procedures, particularly Cardano's method, remain indispensable for obtaining complete and rigorous
solutions. The study concludes that Vedic methods should be viewed as complementary tools rather than universal
replacements for classical cubic equation theory, combining computational elegance with analytical insight in mathematical
education and research.
Keywords :
Vedic Mathematics, Cubic Equations, Algebraic Factorization, Vedic Sutras, Polynomial
References :
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- Kalantari, B., & Zaare-Nahandi, R. (2022). On Tusi's Classification of Cubic Equations and its Connections to Cardano's Formula and Khayyam's Geometric Solution. Mathematics and Computation, 15(2), 101–124.
- Wildberger, N., & Rubine, D. (2025). A New Method for Solving Higher Order Polynomial Equations. American Mathematical Monthly, 132(4), 301–315.
- Mishra, P., & Mishra, K. (2025). Vedic Mathematics in Algebra Techniques and Problem-Solving Benefits. Research & Reviews: Discrete Mathematical Structures, 12(1), 23–28.
- Joshi, M. K., & Bhabor, A. K. (2025). Solution of Linear Equations with Two or More Variables by Using "Paravartya Yojayet" Sutra of Vedic Mathematics. International Journal of Mathematics Education, 12(5), 1–8.
- Kumar, A., Miyan, P., & Padiyar, S. V. S. (2025). Innovative Applications and Data Driven Analysis of Vedic Mathematics in Modern Algebraic Problem Solving. International Journal of Research and Scientific Innovation, 12(7), 797–804.
- Kumar, A., & Miyan, P. (2025). Applications of Vedic Mathematics in Higher Algebra. Journal of Mathematical Education, 12(8), 815–826.
- Joshi, M. K. (2025). Applications of Paravartya Yojayet Sutra in Algebraic Equations. International Journal of Mathematical Sciences, 12(5), 9–16.
- Joshi, M. K. (2025). Vedic Methods for Solving Simultaneous Equations. International Journal of Applied Mathematics, 12(6), 17–26.
- Sanyal, D., Saha, G., & Pakhira, A. (2026). Harnessing Ancient Vedic Mathematics with Karatsuba Multiplication for Efficient and Secure Face Recognition in Surveillance. Journal of Computational Intelligence, 6(2), 146–160.
- Kene, R. V. (2026). Exploring Vedic Sutra Techniques for Solving Ordinary Differential Equations. Journal of Advanced Mathematical Studies, 11(5), 797–804.
- Kene, R. V. (2026). Applications of Vedic Sutras in Differential Calculus and Algebra. Journal of Advanced Mathematical Studies, 11(5), 805–812.
- Kene, R. V. (2026). Lopana-Sthapana Sutra and Its Mathematical Applications. Journal of Mathematical Applications, 11(6), 850–860.
- Roychowdhury, M. K. (2026). Vedic Mathematics: A Beautiful Art of Mental Calculation. International Journal of Indian Knowledge Systems, 1(1), 1–12.
- Roychowdhury, M. K. (2026). Mental Computation Techniques Based on Vedic Mathematics. International Journal of Indian Knowledge Systems, 1(1), 20–32.
- Sanyal, D., Saha, G., & Pakhira, A. (2026). Applications of Vedic Algorithms in Artificial Intelligence Systems. Journal of Computational Intelligence, 6(2), 161–175.
- Sanyal, D., & Saha, G. (2026). Vedic Computational Algorithms for Pattern Recognition. Journal of Computational Intelligence, 6(3), 176–192.
- Liu, S. (2026). A Unified Theory for Solving Polynomial Equations via Differential Algebraic Closure and Transcendental Function Representation. Working Paper Series in Mathematics, 1(1), 1–28.
- Liu, S. (2026). Differential Algebraic Methods for Polynomial Root Analysis. Journal of Algebraic Systems, 1(1), 29–45.
- Sharma, R. K., Choudhary, A., & Jakhar, A. (2026). Recent Developments in Polynomial Algebra and Computational Techniques. Journal of Pure and Applied Mathematics, 54(2), 101–118.
Vedic Mathematics offers a collection of efficient computational techniques that simplify algebraic manipulations
and enhance problem-solving speed. This paper investigates the applicability of selected Vedic methods, namely Paravartya
Yojayet, Lopana-Sthapanabhyam, Adyamadyena Antyamantyena, Vilokanam, and Anurupyena, for solving cubic
equations. The study demonstrates that these techniques can rapidly determine roots and factorization of cubic polynomials
when the equations exhibit identifiable structural characteristics such as rational roots, proportional coefficients, symmetry,
or recognizable factorization patterns. Several illustrative examples are presented to compare the efficiency of Vedic
approaches with conventional algebraic methods. The analysis reveals that Vedic techniques significantly reduce
computational complexity and improve mathematical intuition for a broad class of structured cubic equations. However,
their applicability is limited for arbitrary cubic equations lacking discernible patterns or rational roots. In such cases,
classical algebraic procedures, particularly Cardano's method, remain indispensable for obtaining complete and rigorous
solutions. The study concludes that Vedic methods should be viewed as complementary tools rather than universal
replacements for classical cubic equation theory, combining computational elegance with analytical insight in mathematical
education and research.
Keywords :
Vedic Mathematics, Cubic Equations, Algebraic Factorization, Vedic Sutras, Polynomial