Abstract
In this paper, we study three fixed point problems. The first one is a fixed point problem with a set-valued mapping, while the second and third problems are convex feasibility problems with infinitely many constraints solved by the subgradient projection algorithm. We show that an approximate solution is reached after a finite number of iterations under the presence of computational errors.
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Communicated by Aviv Gibali.
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Zaslavski, A.J. Approximate Solutions for Three Fixed Point Problems. J Optim Theory Appl (2023). https://doi.org/10.1007/s10957-023-02313-1
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DOI: https://doi.org/10.1007/s10957-023-02313-1