| Autor: |
Suantai, Suthep, Inkrong, Papatsara, Cholamjiak, Prasit |
| Předmět: |
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| Zdroj: |
Computational & Applied Mathematics; Sep2023, Vol. 42 Issue 6, p1-17, 17p |
| Abstrakt: |
We come up with a new type of forward–backward–forward algorithms for monotone inclusion problems based on a self-adaptive technique to avoid the selection of Lipschitz assumption and also double inertial extrapolations to increase the convergence performance of our presented algorithm. We also prove its weak convergence theorem under mild hypothesis. Additionally, we provide numerical test in image deblurring and signal recovery as applications. The results show that our algorithm outperforms some known algorithms in the literature. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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