2011
DOI: 10.1155/2011/106450
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Finding Minimum Norm Fixed Point of Nonexpansive Mappings and Applications

Abstract: We construct two new methods for finding the minimum norm fixed point of nonexpansive mappings in Hilbert spaces. Some applications are also included.

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Cited by 12 publications
(16 citation statements)
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“…Our main result generalize and improve the recent results of Zegeye and Shahzad [30]. Our result also extend and improve the known results of Yang et al [27] (Theorems 3.1, 3.2), Yao et al [28] (Theorems 3.1, 3.2) and Cai et al [4] (Theorems 3.1, 3.2) by using the above iterative algorithm for finding a minimum-norm fixed point of a nonexpansive mapping in lies of the implicit and explicit methods. Finally, we furnish an application of our main result to find solution of a minimizer of continuously Fréchet-differentiable convex functional which has the minimization problem.…”
Section: Resultssupporting
confidence: 91%
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“…Our main result generalize and improve the recent results of Zegeye and Shahzad [30]. Our result also extend and improve the known results of Yang et al [27] (Theorems 3.1, 3.2), Yao et al [28] (Theorems 3.1, 3.2) and Cai et al [4] (Theorems 3.1, 3.2) by using the above iterative algorithm for finding a minimum-norm fixed point of a nonexpansive mapping in lies of the implicit and explicit methods. Finally, we furnish an application of our main result to find solution of a minimizer of continuously Fréchet-differentiable convex functional which has the minimization problem.…”
Section: Resultssupporting
confidence: 91%
“…In connection with the iterative approximation of the minimum-norm fixed point of a nonexpansive self-mapping T, in 2011, Yang et al [27] introduced an explicit scheme given by…”
Section: Introductionmentioning
confidence: 99%
“…If the iterative sequence {T x n } involved in [4] is replaced by {T P C x n }, then the self-mapping T defined on nonempty closed convex cone in [4] could be relaxed to nonempty closed convex set. It is different from those iterative algorithms proposed by Yang et al [25], Tang and Liu [21] introduced a new relaxed implicit and explicit iterative scheme to approximate the minimum-norm fixed point of nonexpansive mappings in a real Hilbert spaces. Sunthrayuth et al [16] proved several iteration schemes converges strongly to a fixed point of nonexpansive mappings T , which is a unique solution of some variational inequalities.…”
Section: Introductionmentioning
confidence: 95%
“…These iterative algorithms (1.1) and (1.2) can be viewed as a modification of the well-known iterative algorithms of Browder [1] and Halpern [9], respectively. Yang et al [25] proposed two relaxed iterative algorithms below,…”
Section: Introductionmentioning
confidence: 99%
“…It is noticed that the methods studied above are used to approximate the minimum-norm fixed point of S if 0 ∈ C. In order to overcome the difficulties caused by possible exclusion of the origin from C. Yang et al [3] introduced an explicit scheme given by…”
Section: Introductionmentioning
confidence: 99%