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 inNumerical algebra, control and optimization Vol. 12; no. 2; pp. 255 - 278
Main Authors Owolabi, Abd-semii Oluwatosin-Enitan, Alakoya, Timilehin Opeyemi, Taiwo, Adeolu, Mewomo, Oluwatosin Temitope
Format Journal Article
LanguageEnglish
Published 01.06.2022
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ISSN2155-3297
2155-3289
2155-3297
DOI10.3934/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.
ISSN:2155-3297
2155-3289
2155-3297
DOI:10.3934/naco.2021004