Document Type
Original Study
Abstract
The aforementioned study aims to tackle the shortcomings of current methods to solve Banach space-valued problems in nonlinear functional modeling using the Newton-Kantorovich technique. By increasing the convergent area, delivering smaller error limitations, supplying weaker adequate semi-local convergence standards, and supplying accurate data on the solution's position, the investigations seek for improvements on previous findings.
The aim of this research is optimal control issues, and its proposed method seeks to accomplish these gains not the need for more requirements. Additionally, the investigation indicates that additional iterative techniques can be extended along the same path using this strategy.
Numeric tests that explain the hypotheses are included in the investigation to our bolster claims and show the efficacy of the suggested approach.
Keywords
Newton-Kantorovich technique; Better Convergence; Semi-local convergence; Iterative methods
Recommended Citation
A.Isewid, Rasha
(2024)
"An Enhanced Newton-Kantorovich Technique for Nonlinear Problem-solvers to Optimal Control Convergence,"
Al-Qadisiyah Journal of Pure Science: Vol. 29
:
No.
1
, Article 20.
Available at:
https://doi.org/10.29350/2411-3514.1257
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Biology Commons, Chemistry Commons, Computer Sciences Commons, Environmental Sciences Commons, Geology Commons, Mathematics Commons, Nanotechnology Commons
