TY - JOUR
T1 - Hybridized Brazilian–Bowein type spectral gradient projection method for constrained nonlinear equations
AU - Deepho, Jitsupa
AU - Ibrahim, Abdulkarim Hassan
AU - Abubakar, Auwal Bala
AU - Aphane, Maggie
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2024/12
Y1 - 2024/12
N2 - 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.
AB - 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.
KW - Decreasing sequence
KW - Derivative-free method
KW - Descent direction
KW - Global convergence
KW - Lipschitz continuity
KW - Nonexpansive mappings
UR - http://www.scopus.com/inward/record.url?scp=85206478335&partnerID=8YFLogxK
U2 - 10.1016/j.rico.2024.100483
DO - 10.1016/j.rico.2024.100483
M3 - Article
AN - SCOPUS:85206478335
SN - 2666-7207
VL - 17
JO - Results in Control and Optimization
JF - Results in Control and Optimization
M1 - 100483
ER -