Abstract
The purpose of this paper is to introduce an algorithm for approximating solutions of split equality variational inequality problems. A convergence theorem of the proposed algorithm is established in Hilbert spaces under the assumption that the associated mapping is uniformly continuous, pseudomonotone and sequentially weakly continuous. Finally, we provide several applications of our method and provide a numerical result to demonstrate the behavior of the convergence of the algorithm. Our results extend and generalize some related results in the literature.
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Kwelegano, K.M.T., Zegeye, H. & Boikanyo, O.A. An Iterative method for split equality variational inequality problems for non-Lipschitz pseudomonotone mappings. Rend. Circ. Mat. Palermo, II. Ser 71, 325–348 (2022). https://doi.org/10.1007/s12215-021-00608-8
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DOI: https://doi.org/10.1007/s12215-021-00608-8
Keywords
- Monotone mappings
- Variational inequality
- Pseudomonotone mapping
- Strong convergence
- Slit equality variational inequality problem