An Efficient Iterative Algorithm for Solving the Split Feasibility Problem in Hilbert Spaces Applicable in Image Deblurring, Signal Recovering, and Polynomiography
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DOI: 10.1155/2023/4934575
Abstract: The split feasibility problem (SFP) in Hilbert spaces is addressed in this study using an efficient iterative approach. Under mild conditions, we prove convergence theorems for the algorithm for finding a solution to the SFP.… read more here.
Keywords: image deblurring; feasibility problem; efficient iterative; deblurring signal ... See more keywords