Optimization bisection technique : By using quantum calculus approach
Inderjeetyadavinderjeet386@gmail.comUniversity School of Basic and Applied SciencesGuru Gobind Singh Indraprastha UniversityDwarka, Delhi, 110078, IndiaView full profile → , *Rashmi BhardwajCorresponding authorrashmib@ipu.ac.inUniversity School of Basic and Applied SciencesGuru Gobind Singh Indraprastha UniversityDwarka, Delhi, 110078, India0000-0002-0502-762XView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 02 Jun 2025
- Published Online:
- 06 Jun 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-2180
- Pages:
- 2651–2657
Abstract
This paper presents a numerical simulation approach for solving nonlinear equations using a quantum Bisection Optimization technique. We propose an enhanced version of Bisection technique based on quantum calculus optimization. The results are analyzed for different values of quantum parameter, q, & rate of convergence is determined for every q ∈ (0, 1). Additionally, it is demonstrated that the modified method is always convergent and for each interval there exists q ∈ (0, 1) for which the exact solution to the problem and first approximation of the root coincides. This study highlights the potential of the modified Bisection optimization method as a valuable tool for simulating and solving complex nonlinear problems encountered in science and engineering applications.
Keywords
Subject Classifications
References
[1] R. L. Burden and J. D. Faires, Numerical Analysis. Boston, MA, USA: PWS Publishing Company (2001).
[2] T. Ernst, “A new notation for q-calculus and a new q-Taylor formula,” Dept. Math., Uppsala Univ., Uppsala, Sweden (1999).
[3] E. Koelink, “8 lectures on quantum groups and q-special functions,” (1996), arXiv:q-alg/9608018.
[4] A. Erzan, “Finite q-differences and the discrete renormalization group,” Physics Letters A, vol. 225, no. 4–6, pp. 235–238 (1997).
[5] A. Eryilmaz, “Spectral analysis of Sturm–Liouville problem with the spectral parameter in the boundary condition,” J. Functional Spaces and Applications (2012).
[6] J. H. He, “A new iteration method for solving algebraic equations,” Applied Mathematics and Computation, vol. 135, no. 1, pp. 81–84 (2003).
[7] V. Kac and P. Cheung, Quantum Calculus. New York, NY, USA: Springer (2002).
[8] T. A. Ernst, A Comprehensive Treatment of q-Calculus. Basel, Switzerland: Springer (2012).
[9] A. Tassaddiq, S. Qureshi, A. Soomro, E. Hincal, D. Baleanu, and A. A. Shaikh, “A new three-step root-finding numerical method and its fractal global behavior,” Fractal and Fractional, vol. 5, p. 204 (2021).
[10] P. Singh, P. K. Mishra, and R. S. Pathak, “q-iterative methods,” IOSR Journal of Mathematics, vol. 9, no. 1, p. 06 (2013).
[11] C. H. He, “An introduction to an ancient Chinese algorithm and its modification,” International Journal of Numerical Methods for Heat & Fluid Flow (2016).
[12] P. P. Wang, T. Zhu, and T. S. Du, “Some inequalities using s-preinvexity via quantum calculus,” Journal of Interdisciplinary Mathematics, vol. 24, no. 3, pp. 613–636 (2020).




