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Convergence Analysis of a New Forward-Reflected-Backward Algorithm for Four Operators Without Cocoercivity

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Abstract

In this paper, we propose a new splitting algorithm to find the zero of a monotone inclusion problem that features the sum of three maximal monotone operators and a Lipschitz continuous monotone operator in Hilbert spaces. We prove that the sequence of iterates generated by our proposed splitting algorithm converges weakly to the zero of the considered inclusion problem under mild conditions on the iterative parameters. Several splitting algorithms in the literature are recovered as special cases of our proposed algorithm. Another interesting feature of our algorithm is that one forward evaluation of the Lipschitz continuous monotone operator is utilized at each iteration. Numerical results are given to support the theoretical analysis.

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Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

Code Availability

The Matlab codes employed to run the numerical experiments are available on request.

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YW and J-CY conceived and designed the analysis; YC and YS wrote the manuscript, HR prepared all the figures and tables.

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Correspondence to Yekini Shehu.

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Communicated by Aviv Gibali.

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Cao, Y., Wang, Y., ur Rehman, H. et al. Convergence Analysis of a New Forward-Reflected-Backward Algorithm for Four Operators Without Cocoercivity. J Optim Theory Appl 203, 256–284 (2024). https://doi.org/10.1007/s10957-024-02501-7

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  • DOI: https://doi.org/10.1007/s10957-024-02501-7

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