Hybrid inertial accelerated extragradient algorithms for split pseudomonotone equilibrium problems and fixed point problems of demicontractive mappings

Author:

Hanjing Adisak1,Suantai Suthep2,Chod Yeol3

Affiliation:

1. Department of Science and Mathematics, Rajamangala University of Technology Isan Surin Campus, Surin, Thailand

2. Data Science Research Center, Department of Mathematics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand + Research Group in Mathematics and Applied Mathematics, Department of Mathematics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand

3. Department of Mathematics Education, Gyeongsang National University, Jinju, Korea + Center for General Education, China Medical University, Taichung, Taiwan

Abstract

In this paper, we present a new hybrid extragradient algorithm for finding a common element of the fixed point problem for a demicontractive mapping and the split equilibrium problem for a pseudomonotone and Lipschitz-type continuous bifunction. By using a new technique of choosing the step size of the proposed method, our algorithms do not need any prior information of the operator norm. In fact, we propose an inertial type algorithm in order to accelerate its convergence rate and then prove strong convergence theorem of our proposed method under some control conditions. Moreover, we give some numerical experiments to support our main results.

Publisher

National Library of Serbia

Subject

General Mathematics

Reference33 articles.

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2. P. N. Anh, A hybrid extragradient method extended to fixed point problems and equilibrium problems, Optimization 62 (2013) 271-283.

3. P. N. Anh, A hybrid extragradient method for pseudomonotone equilibrium problems and fixed point problems, Bull. Malays. Math. Sci. Soc. 36 (2013) 107-116.

4. P. N. Anh, A logarithmic quadratic regularization method for solving pseudomonotone equilibrium problems, Acta Math. Vietnam. 34 (2009) 183-200.

5. P. N. Anh, H. A. Le Thi, An Armijo-typ method for pseudomonotone equilibrium problems and its applications, J. Glob. Optim. 57 (2013) 803-820.

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