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 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.09.2025
Springer Nature B.V |
| Témata: | |
| ISSN: | 1598-5865, 1865-2085 |
| On-line přístup: | Získat plný text |
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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. |
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| Bibliografie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 1598-5865 1865-2085 |
| DOI: | 10.1007/s12190-025-02525-w |