| Autor: |
Olakunle Jolaoso, Lateef, Pholasa, Nattawut, Sunthrayuth, Pongsakorn, Cholamjiak, Prasit |
| Předmět: |
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| Zdroj: |
Mathematical Methods in the Applied Sciences; Nov2023, Vol. 46 Issue 16, p16876-16898, 23p |
| Abstrakt: |
In this paper, we propose a self‐adaptive inertial‐like algorithm with Bregman distance for approximating a common solution of systems of variational inequalities for a class of monotone and Lipschitz continuous mappings in real reflexive Banach spaces. Our algorithm is constructed without using hybrid projection method and shrinking projection method, and its strong convergence is proved without the prior information of the Lipschitz constant of the mapping. Finally, we provide some numerical experiments to illustrate the performance of the newly proposed method including a comparison with related works in solving signal restoration problems. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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