A new inertial-projection algorithm for approximating common solution of variational inequality and fixed point problems of multivalued mappings
In this paper, we present a new modified self-adaptive inertial subgradient extragradient algorithm in which the two projections are made onto some half spaces. Moreover, under mild conditions, we obtain a strong convergence of the sequence generated by our proposed algorithm for approximating a com...
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| Published in | Numerical algebra, control and optimization Vol. 12; no. 2; pp. 255 - 278 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
01.06.2022
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2155-3297 2155-3289 2155-3297 |
| DOI | 10.3934/naco.2021004 |
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| Summary: | In this paper, we present a new modified self-adaptive inertial subgradient extragradient algorithm in which the two projections are made onto some half spaces. Moreover, under mild conditions, we obtain a strong convergence of the sequence generated by our proposed algorithm for approximating a common solution of variational inequality problem and common fixed point of a finite family of demicontractive mappings in a real Hilbert space. The main advantages of our algorithm are: strong convergence result obtained without prior knowledge of the Lipschitz constant of the related monotone operator, the two projections made onto some half-spaces and the inertial technique which speeds up rate of convergence. Finally, we present an application and a numerical example to illustrate the usefulness and applicability of our algorithm. |
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| ISSN: | 2155-3297 2155-3289 2155-3297 |
| DOI: | 10.3934/naco.2021004 |