Revised and enhanced analysis of a recent novel iterative algorithm

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.

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Publication Details

Journal
The Journal of Nonlinear Sciences and Applications
Published
2025-03-12
DOI
https://doi.org/10.22436/jnsa.018.02.05
Primary Topic
Advanced Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Revised and enhanced analysis of a recent novel iterative algorithm

Krishna Kumar, Vipin Kumar, N. Hussain, Sneh Narwal
The Journal of Nonlinear Sciences and Applications
Advanced Optimization Algorithms Research
article

Revised and enhanced analysis of a recent novel iterative algorithm

Krishna Kumar, Vipin Kumar, N. Hussain, Sneh Narwal
article en

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.

The Journal of Nonlinear Sciences and ApplicationsVol. 18(02)
Openalex Percentile: Top 93%
Advanced Optimization Algorithms Research
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