A Comparative Analysis Of Polynomial And Non-Polynomial Spline Approximations In Solving Nonlinear Boundary Value Problems

Main Article Content

Kuldeep Kandwal, Dr. Vipul Patel

Abstract

This paper is a comparative study of the use of spline approximation (polynomial and non-polynomial) in solution of nonlinear two-point boundary value problems (TPBVPs). The study points out the drawbacks of classic cubic polynomial splines in dealing with nonlinearities, stiffness, and oscillativeness, and points out the greater flexibility and accuracy of non-polynomial splines, namely exponential and trigonometric formulations. Analytical analysis and numerical examples show that the exponential spline has superior results in nonlinear and stiff and trigonometric spline has superior results in oscillatory systems. The results validate the fact that non-polynomial splines have better convergence rates, lower error, and better computational stability over polynomial ones.

Article Details

How to Cite
Kuldeep Kandwal, Dr. Vipul Patel. (2026). A Comparative Analysis Of Polynomial And Non-Polynomial Spline Approximations In Solving Nonlinear Boundary Value Problems. International Journal of Advanced Research and Multidisciplinary Trends (IJARMT), 3(2), 503–511. Retrieved from https://www.ijarmt.com/index.php/j/article/view/947
Section
Articles

References

Chaurasia, V. B. L., Gupta, R. K., & Srivastava, H. M. (2022). Numerical treatment of second-order systems of boundary value problems using non-polynomial spline methods. *Applied Mathematics and Computation, 421*, 126936. [https://doi.org/10.1016/j.amc.2022.126936](https://doi.org/10.1016/j.amc.2022.126936)

Iqbal, M., Abbas, M., & Wasim, I. (2015). Numerical solution of tenth-order boundary value problems using non-polynomial cubic spline technique. *Applied Mathematics and Computation, 270*, 565–574. [https://doi.org/10.1016/j.amc.2015.08.041](https://doi.org/10.1016/j.amc.2015.08.041)

Jha, N., Kumar, M., & Singh, R. (2016). Non-polynomial spline methods with geometric mesh for higher-order nonlinear boundary value problems. *Journal of Computational and Applied Mathematics, 295*, 274–286. [https://doi.org/10.1016/j.cam.2015.09.018](https://doi.org/10.1016/j.cam.2015.09.018)

Justine, M., & Sulaiman, J. (2016). Cubic non-polynomial spline method for two-point boundary value problems using successive over-relaxation iteration. *AIP Conference Proceedings, 1750*(1), 060015. [https://doi.org/10.1063/1.4954595](https://doi.org/10.1063/1.4954595)

Aziz, T., Khan, A., & Rashidinia, J. (2013). Numerical treatment of nonlinear boundary value problems using spline approximation techniques. *Applied Mathematics and Computation, 219*(18), 9454–9465. [https://doi.org/10.1016/j.amc.2013.03.012](https://doi.org/10.1016/j.amc.2013.03.012)

Ramadan, M. A., Lashien, I. F., & Zahra, W. K. (2007). Polynomial and non-polynomial spline approaches for solving boundary value problems. *International Journal of Computer Mathematics, 84*(4), 541–554. [https://doi.org/10.1080/00207160601128092](https://doi.org/10.1080/00207160601128092)

Jain, M. K., Iyengar, S. R. K., & Jain, R. K. (2012). *Numerical methods for scientific and engineering computation* (6th ed.). New Age International Publishers.

Kumar, M., & Pandey, R. K. (2011). Exponential spline solution for nonlinear singular boundary value problems arising in engineering sciences. *Computers & Mathematics with Applications, 62*(10), 3959–3968. [https://doi.org/10.1016/j.camwa.2011.09.040](https://doi.org/10.1016/j.camwa.2011.09.040)

De Boor, C. (2001). *A practical guide to splines* (Rev. ed.). Springer. [https://doi.org/10.1007/978-1-4612-6333-3](https://doi.org/10.1007/978-1-4612-6333-3)

Sastry, S. S. (2018). *Introductory methods of numerical analysis* (5th ed.). PHI Learning Pvt. Ltd

Similar Articles

<< < 15 16 17 18 19 20 21 22 23 24 > >> 

You may also start an advanced similarity search for this article.