Hybridized Brazilian–Bowein type spectral gradient projection method for constrained nonlinear equations

This paper proposes a hybridized Brazilian and Bowein derivative-free spectral gradient projection method for solving systems of convex-constrained nonlinear equations. The method avoids solving any subproblems in each iteration. Global convergence is established under appropriate assumptions on the functions involved. Additionally, numerical experiments are conducted to evaluate the algorithm’s performance, providing evidence of its efficiency compared to similar algorithms from the existing literature. The results demonstrate that the method outperforms some existing approaches in terms of the number of iterations, function evaluations, and time required to obtain a solution based on the examples considered.

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Publication Details

Journal
Results in Control and Optimization
Published
2024-10-10
DOI
https://doi.org/10.1016/j.rico.2024.100483
Primary Topic
Advanced Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
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article

Hybridized Brazilian–Bowein type spectral gradient projection method for constrained nonlinear equations

Jitsupa Deepho, Abdulkarim Hassan Ibrahim, Maggie Aphane, Auwal Bala Abubakar
Results in Control and Optimization
Advanced Optimization Algorithms Research
article

Hybridized Brazilian–Bowein type spectral gradient projection method for constrained nonlinear equations

Jitsupa Deepho, Abdulkarim Hassan Ibrahim, Maggie Aphane, Auwal Bala Abubakar
article en

Abstract

This paper proposes a hybridized Brazilian and Bowein derivative-free spectral gradient projection method for solving systems of convex-constrained nonlinear equations. The method avoids solving any subproblems in each iteration. Global convergence is established under appropriate assumptions on the functions involved. Additionally, numerical experiments are conducted to evaluate the algorithm’s performance, providing evidence of its efficiency compared to similar algorithms from the existing literature. The results demonstrate that the method outperforms some existing approaches in terms of the number of iterations, function evaluations, and time required to obtain a solution based on the examples considered.

Results in Control and OptimizationVol. 17
King Fahd University of Petroleum and Minerals (SA), Sefako Makgatho Health Sciences University (ZA), King Mongkut's University of Technology North Bangkok (TH), Bayero University Kano (NG)
Climate action
Openalex Percentile: Top 73%
Advanced Optimization Algorithms Research
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