An iterative algorithm for fixed point problem and convex minimization problem with applications
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  • 作者:Gang Cai ; Yekini Shehu
  • 关键词:47H06 ; 47H09 ; 47J05 ; 47J25 ; convex minimization problem ; k ; strictly pseudo contractive mapping ; strong convergence ; Hilbert spaces
  • 刊名:Fixed Point Theory and Applications
  • 出版年:2015
  • 出版时间:December 2015
  • 年:2015
  • 卷:2015
  • 期:1
  • 全文大小:1,243 KB
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  • 刊物主题:Analysis; Mathematics, general; Applications of Mathematics; Differential Geometry; Topology; Mathematical and Computational Biology;
  • 出版者:Springer International Publishing
  • ISSN:1687-1812
文摘
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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