Geodesic
An iterative method for solving split minimization problem in Banach space with applications
Buletinul Academiei de Ştiinţe a Republicii Moldova. Matematica, no. 1 (2021), pp. 3-30

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The purpose of this paper is to study an approximation method for finding a solution of the split minimization problem which is also a fixed point of a right Bregman strongly nonexpansive mapping in $p$-uniformly convex real Banach spaces which are also uniformly smooth. We introduce a new iterative algorithm with a new choice of stepsize such that its implementation does not require a prior knowledge of the operator norm. Using the Bregman distance technique, we prove a strong convergence theorem for the sequence generated by our algorithm. Further, we applied our result to the approximation of solution of inverse problem arising in signal processing and give a numerical example to show how the sequence values are affected by the number of iterations. Our result in this paper extends and complements many recent results in literature. 
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     author = {L. O. Jolaoso and F. U. Ogbuisi and O. T. Mewomo},
     title = {An iterative method for solving split minimization problem in {Banach} space with applications},
     journal = {Buletinul Academiei de \c{S}tiin\c{t}e a Republicii Moldova. Matematica},
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     url = {http://geodesic.mathdoc.fr/item/BASM_2021_1_a0/}
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L. O. Jolaoso; F. U. Ogbuisi; O. T. Mewomo. An iterative method for solving split minimization problem in Banach space with applications. Buletinul Academiei de Ştiinţe a Republicii Moldova. Matematica, no. 1 (2021), pp. 3-30. http://geodesic.mathdoc.fr/item/BASM_2021_1_a0/