Abstract
In this paper, we introduce several inertial-like algorithms for solving equilibrium problems (EP) in real Hilbert spaces. The algorithms are constructed using the resolvent of the EP associated bifunction and combines the inertial and the Mann-type technique. Under mild and standard conditions imposed on the cost bifunction and control parameters strong convergence of the algorithms is established. We present several numerical examples to illustrate the behavior of our schemes and emphasize their convergence advantages compared with some related methods.
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Acknowledgements
The authors would like to thank the Associate Editor and the two anonymous referees for their valuable comments and suggestions which helped in improving the original version of this paper. This paper is supported by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under Grant No. 101.01-2017.315.
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Van Hieu, D., Gibali, A. Strong convergence of inertial algorithms for solving equilibrium problems. Optim Lett 14, 1817–1843 (2020). https://doi.org/10.1007/s11590-019-01479-w
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DOI: https://doi.org/10.1007/s11590-019-01479-w