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.
Original language | English |
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Article number | 100483 |
Journal | Results in Control and Optimization |
Volume | 17 |
DOIs | |
State | Published - Dec 2024 |
Bibliographical note
Publisher Copyright:© 2024 The Authors
Keywords
- Decreasing sequence
- Derivative-free method
- Descent direction
- Global convergence
- Lipschitz continuity
- Nonexpansive mappings
ASJC Scopus subject areas
- Control and Systems Engineering
- Modeling and Simulation
- Control and Optimization
- Applied Mathematics
- Artificial Intelligence