Abstract and Applied Analysis
- Abstr. Appl. Anal.
- Volume 2012, Special Issue (2012), Article ID 140679, 13 pages.
Regularized Methods for the Split Feasibility Problem
Many applied problems such as image reconstructions and signal processing can be formulated as the split feasibility problem (SFP). Some algorithms have been introduced in the literature for solving the (SFP). In this paper, we will continue to consider the convergence analysis of the regularized methods for the (SFP). Two regularized methods are presented in the present paper. Under some different control conditions, we prove that the suggested algorithms strongly converge to the minimum norm solution of the (SFP).
Abstr. Appl. Anal., Volume 2012, Special Issue (2012), Article ID 140679, 13 pages.
First available in Project Euclid: 1 April 2013
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Yao, Yonghong; Jigang, Wu; Liou, Yeong-Cheng. Regularized Methods for the Split Feasibility Problem. Abstr. Appl. Anal. 2012, Special Issue (2012), Article ID 140679, 13 pages. doi:10.1155/2012/140679. https://projecteuclid.org/euclid.aaa/1364845188