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A New Hybrid Iterative Method for Solving a Mixed Equilibrium Problem and a Fixed Point Problem for Quasi-Bregman Strictly Pseudocontractive Mappings

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Data Science for Financial Econometrics

Part of the book series: Studies in Computational Intelligence ((SCI,volume 898))

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Abstract

In this paper, we introduce and study a new hybrid iterative method for finding a common solution of a mixed equilibrium problem and a fixed point problem for an infinitely countable family of closed quasi-Bregman strictly pseudocontractive mappings in reflexive Banach spaces. We prove that the sequences generated by the hybrid iterative algorithm converge strongly to a common solution of these problems.

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Acknowledgements

This project was supported by the Center of Excellence in Theoretical and Computational Science (TaCS-CoE), KMUTT.

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Correspondence to Poom Kumam .

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Muangchoo, K., Kumam, P., Cho, Y.J., Ekvittayaniphon, S. (2021). A New Hybrid Iterative Method for Solving a Mixed Equilibrium Problem and a Fixed Point Problem for Quasi-Bregman Strictly Pseudocontractive Mappings. In: Ngoc Thach, N., Kreinovich, V., Trung, N.D. (eds) Data Science for Financial Econometrics. Studies in Computational Intelligence, vol 898. Springer, Cham. https://doi.org/10.1007/978-3-030-48853-6_30

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