Solving constrained nonlinear equations with an inertial-based hybrid three-term CGP algorithm: application to image denoising

In this paper, an inertial-based hybrid three-term conjugate gradient projection (CGP) algorithm is proposed for solving constrained nonlinear equations. This algorithm exhibits several key theoretical features: (1) A hybrid three-term search direction is constructed using the hybrid technique, ensu...

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Vydáno v:Journal of applied mathematics & computing Ročník 71; číslo Suppl 1; s. 1109 - 1136
Hlavní autoři: Li, Dandan, Li, Yong, Wang, Songhua
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2025
Springer Nature B.V
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ISSN:1598-5865, 1865-2085
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Shrnutí:In this paper, an inertial-based hybrid three-term conjugate gradient projection (CGP) algorithm is proposed for solving constrained nonlinear equations. This algorithm exhibits several key theoretical features: (1) A hybrid three-term search direction is constructed using the hybrid technique, ensuring both sufficient descent and trust region properties. (2) An inertial extrapolation step is incorporated into the algorithm, enhancing its efficiency. (3) The global convergence of the algorithm is rigorously analyzed, without relying on the Lipschitz continuity of the nonlinear equations. (4) Preliminary numerical experiments on standard constrained nonlinear equations and image denoising problems are reported, which demonstrate the effectiveness and superiority of the proposed algorithm when compared to existing methods.
Bibliografie:ObjectType-Article-1
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ISSN:1598-5865
1865-2085
DOI:10.1007/s12190-025-02525-w