Revised and enhanced analysis of a recent novel iterative algorithm
Authors
K. Kumar
- Department of Mathematics, Baba Mastnath University, Asthal Bohar-124021, Rohtak, Haryana, India.
N. Hussain
- Department of Mathematics, King Abdulaziz University, P.O. Box 80203, Jeddah 21589, Saudi Arabia.
V. Kumar
- Department of Mathematics, KLP College, Rewari-123401, Haryana, India.
S. Narwal
- Department of Mathematics, Sat Jinda Kalyana College, Kalanaur-124113, Rohtak, Haryana, India.
Abstract
In this study, we rectify the recent results related to the stability of a novel iterative algorithm proposed by [P. Sharma, H. Ramos, R. Behl, V. Kanwar, J. Comput. Appl. Math., \( \bf 430\) (2023), 15 pages] using a broader concept of stability, known as weak \(w^2\)-stability. Additionally, to prove the resilience of this iteration, we establish new results regarding data dependency and weak convergence. We provide non-trivial examples to highlight the accuracy of our theoretical findings. Moreover, we demonstrated that the aforementioned iterative algorithm serves as a potential technique for solving a specific delay differential equation.
Share and Cite
ISRP Style
K. Kumar, N. Hussain, V. Kumar, S. Narwal, Revised and enhanced analysis of a recent novel iterative algorithm, Journal of Nonlinear Sciences and Applications, 18 (2025), no. 2, 122--134
AMA Style
Kumar K., Hussain N., Kumar V., Narwal S., Revised and enhanced analysis of a recent novel iterative algorithm. J. Nonlinear Sci. Appl. (2025); 18(2):122--134
Chicago/Turabian Style
Kumar, K., Hussain, N., Kumar, V., Narwal, S.. "Revised and enhanced analysis of a recent novel iterative algorithm." Journal of Nonlinear Sciences and Applications, 18, no. 2 (2025): 122--134
Keywords
- Weak convergence
- weak \(w^2\)-stability
- data dependency
- equivalent sequence
MSC
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