EconPapers    
Economics at your fingertips  
 

An Adaptive Nonmonotone Line Search Technique for Solving Systems of Nonlinear Equations

Masoud Hatamian, Mahmoud Paripour, Farajollah Mohammadi Yaghoobi, Nasrin Karamikabir and Mehdi Ghatee

Journal of Mathematics, 2021, vol. 2021, 1-6

Abstract: In this article, a new nonmonotone line search technique is proposed for solving a system of nonlinear equations. We attempt to answer this question how to control the degree of the nonmonotonicity of line search rules in order to reach a more efficient algorithm? Therefore, we present a novel algorithm that can avoid the increase of unsuccessful iterations. For this purpose, we show the robust behavior of the proposed algorithm by solving a few numerical examples. Under some suitable assumptions, the global convergence of our strategy is proved.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/jmath/2021/7134561.pdf (application/pdf)
http://downloads.hindawi.com/journals/jmath/2021/7134561.xml (application/xml)

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:hin:jjmath:7134561

DOI: 10.1155/2021/7134561

Access Statistics for this article

More articles in Journal of Mathematics from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().

 
Page updated 2025-03-19
Handle: RePEc:hin:jjmath:7134561