EconPapers    
Economics at your fingertips  
 

Extended Seventh Order Derivative Free Family of Methods for Solving Nonlinear Equations

Ramandeep Behl (), Ioannis K. Argyros, Fouad Othman Mallawi and Sattam Alharbi
Additional contact information
Ramandeep Behl: Department of Mathematics, Faculty of Science, King Abdulaziz University, P.O. Box 80203, Jeddah 21589, Saudi Arabia
Ioannis K. Argyros: Department of Mathematical Sciences, Cameron University, Lawton, OK 73505, USA
Fouad Othman Mallawi: Department of Mathematics, Faculty of Science, King Abdulaziz University, P.O. Box 80203, Jeddah 21589, Saudi Arabia
Sattam Alharbi: Department of Mathematics, Faculty of Science, King Abdulaziz University, P.O. Box 80203, Jeddah 21589, Saudi Arabia

Mathematics, 2023, vol. 11, issue 3, 1-11

Abstract: A plethora of applications from Computational Sciences can be identified for a system of nonlinear equations in an abstract space. These equations are mostly solved with an iterative method because an analytical method does not exist for such problems. The convergence of the method is established by sufficient conditions. Recently, there has been a surge in the development of high convergence order methods. Local convergence results reveal the degree of difficulty when choosing the initial points. However, these methods may converge even in cases not guaranteed by the conditions. Moreover, it is not known in advance how many iterations should be carried out to reach a certain error tolerance. Furthermore, no computable information is provided about the isolation of the solution in a certain region containing it. The aforementioned concerns constitute the motivation for writing this article. The novelty of the works is the expansion of the applicability of the method under ω − continuity conditions considered for the involved operator. The technique is demonstrated using a derivative-free seventh convergence three-step method. However, it was found that it can be used with the same effectiveness as other methods containing inverses of linear operators. The technique also uses information about the operators appearing in this method. This is in contrast to earlier works utilizing derivatives or divided differences not on the method which may not even exist for the problem at hand. The numerical experiments complement the theory.

Keywords: Steffensen-like method; Banach space; divided differences; systems of nonlinear equations; iterative methods (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/11/3/736/pdf (application/pdf)
https://www.mdpi.com/2227-7390/11/3/736/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:11:y:2023:i:3:p:736-:d:1053771

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jmathe:v:11:y:2023:i:3:p:736-:d:1053771