共 34 条
Hybridized Brazilian-Bowein type spectral gradient projection method for constrained nonlinear equations
被引:0
作者:
Deepho, Jitsupa
[1
]
Ibrahim, Abdulkarim Hassan
[2
]
Abubakar, Auwal Bala
[3
,4
,5
]
Aphane, Maggie
[5
]
机构:
[1] King Mongkuts Univ Technol North Bangkok, Fac Sci Energy & Environm, 19 Moo 11, Rayong 21120, Thailand
[2] King Fahd Univ Petr & Minerals, Interdisciplinary Res Ctr IRC Smart Mobil & Logist, Dhahran 31261, Saudi Arabia
[3] George Mason Univ, Dept Art & Sci, Songdomunhwa Ro 119-4, Incheon 21985, South Korea
[4] Bayero Univ, Fac Phys Sci, Dept Math Sci, Numer Optimizat Res Grp, Kano, Nigeria
[5] Sefako Makgatho Hlth Sci Univ, Dept Math & Appl Math, ZA-0204 Pretoria, South Africa
来源:
RESULTS IN CONTROL AND OPTIMIZATION
|
2024年
/
17卷
关键词:
Nonexpansive mappings;
Descent direction;
Lipschitz continuity;
Decreasing sequence;
Derivative-free method;
Global convergence;
MONOTONE EQUATIONS;
ALGORITHM;
SYSTEMS;
D O I:
10.1016/j.rico.2024.100483
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
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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页数:9
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