An iterative algorithm for fixed point problem and convex minimization problem with applications

被引:0
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作者
Gang Cai
Yekini Shehu
机构
[1] Chongqing Normal University,College of Mathematics Science
[2] University of Nigeria,Department of Mathematics
关键词
convex minimization problem; -strictly pseudo contractive mapping; strong convergence; Hilbert spaces; 47H06; 47H09; 47J05; 47J25;
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摘要
In this paper we prove the strong convergence of an iterative sequence for finding a common element of the fixed points set of a strictly pseudocontractive mapping and the solution set of the constrained convex minimization problem for a convex and continuously Fréchet differentiable functional in a real Hilbert space. We apply our result to solving the split feasibility problem and the convexly constrained linear inverse problem involving the fixed point problem for a strictly pseudocontractive mapping in a real Hilbert space.
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