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Projection extragradient algorithms for solving nonmonotone and non-Lipschitzian equilibrium problems in Hilbert spaces

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Abstract

We present two projection extragradient algorithms for solving equilibrium problems without monotonicity and Lipschitz-type property in Hilbert spaces. Our strategy consists in embedding a subgradient projection step in the extragradient algorithm and employing an Armijo-linesearch. The strategy guarantees that the sequences generated by the presented algorithms converge weakly and strongly to a solution of the equilibrium problem, respectively. The convergence does not require any monotonicity and Lipschitz-type property of the bifunction but the nonemptyness of the solution set of the associated Minty equilibrium problem. Some numerical experiments illustrate the efficiency of the proposed algorithms.

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Acknowledgments

The authors would like to thank the referees and the editor for their helpful comments and suggestions which have led to the improvement of the early version of this paper.

Funding

This work was partially supported by the National Science Foundation of China (11471230 and 11771067) and the Scientific Research Foundation of the Education Department of Sichuan Province (16ZA0213).

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Correspondence to Yaping Fang.

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Deng, L., Hu, R. & Fang, Y. Projection extragradient algorithms for solving nonmonotone and non-Lipschitzian equilibrium problems in Hilbert spaces. Numer Algor 86, 191–221 (2021). https://doi.org/10.1007/s11075-020-00885-x

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  • DOI: https://doi.org/10.1007/s11075-020-00885-x

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