Real Banach Space

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A Adamu - One of the best experts on this subject based on the ideXlab platform.

  • a strong convergence theorem for generalized φ strongly monotone maps with applications
    Fixed Point Theory and Applications, 2019
    Co-Authors: C E Chidume, Monday Ogudu Nnakwe, A Adamu
    Abstract:

    Let X be a uniformly convex and uniformly smooth Real Banach Space with dual Space $X^{*}$ . In this paper, a Mann-type iterative algorithm that approximates the zero of a generalized-Φ-strongly monotone map is constructed. A strong convergence theorem for a sequence generated by the algorithm is proved. Furthermore, the theorem is applied to approximate the solution of a convex optimization problem, a Hammerstein integral equation, and a variational inequality problem. This theorem generalizes, improves, and complements some recent results. Finally, examples of generalized-Φ-strongly monotone maps are constructed and numerical experiments which illustrate the convergence of the sequence generated by our algorithm are presented.

Poom Kumam - One of the best experts on this subject based on the ideXlab platform.

Siwaporn Saewan - One of the best experts on this subject based on the ideXlab platform.

C E Chidume - One of the best experts on this subject based on the ideXlab platform.

  • a strong convergence theorem for generalized φ strongly monotone maps with applications
    Fixed Point Theory and Applications, 2019
    Co-Authors: C E Chidume, Monday Ogudu Nnakwe, A Adamu
    Abstract:

    Let X be a uniformly convex and uniformly smooth Real Banach Space with dual Space $X^{*}$ . In this paper, a Mann-type iterative algorithm that approximates the zero of a generalized-Φ-strongly monotone map is constructed. A strong convergence theorem for a sequence generated by the algorithm is proved. Furthermore, the theorem is applied to approximate the solution of a convex optimization problem, a Hammerstein integral equation, and a variational inequality problem. This theorem generalizes, improves, and complements some recent results. Finally, examples of generalized-Φ-strongly monotone maps are constructed and numerical experiments which illustrate the convergence of the sequence generated by our algorithm are presented.

  • convergence of the mann iteration algorithm for a class of pseudocontractive mappings
    Applied Mathematics and Computation, 2007
    Co-Authors: C E Chidume, Mujahid Abbas
    Abstract:

    Let K be a nonempty, closed and convex subset of a Real Banach Space E. Let T:K->K be a strictly pseudocontractive map in the sense of Browder and Petryshyn. For a fixed x"[email protected]?K, define a sequence {x"n} byx"n"+"1=([email protected]"n)x"[email protected]"nTx"n,where {@a"n} is a Real sequence defined in [0,1] satisfying the following conditions (i) @?"n"="1^[email protected]"n=~, (ii) @?"n"="1^[email protected]"n^2 "[email protected]?x"n-Tx"[email protected]?=0. If, in addition, T is demicompact, then {x"n} converges strongly to some fixed point of T.

  • approximate fixed point sequences and convergence theorems for lipschitz pseudocontractive maps
    Proceedings of the American Mathematical Society, 2004
    Co-Authors: C E Chidume, Habtu Zegeye
    Abstract:

    Let K be a nonempty closed convex subset of a Real Banach Space E and T be a Lipschitz pseudocontractive self-map of K with F(T) := {x E K : Tx = x} ¬= O. An iterative sequence {x n } is constructed for which ∥x n - Tx n ∥ → 0 as n → oc. If, in addition, K is assumed to be bounded, this conclusion still holds without the requirement that F(T) ¬= O. Moreover, if, in addition, E has a uniformly Gâteaux differentiable norm and is such that every closed bounded convex subset of K has the fixed point property for nonexpansive self-trappings, then the sequence {x n } converges strongly to a fixed point of T. Our iteration method is of independent interest.

  • iterative solution of nonlinear equations with strongly accretive operators
    Journal of Mathematical Analysis and Applications, 1995
    Co-Authors: C E Chidume
    Abstract:

    Abstract Let E be a Real Banach Space with a uniformly convex dual. Suppose T : E → E is a strongly accretive map with bounded range such that for each ƒ ∈ E the equation Tx = ƒ has a solution in E . It is proved that each of the two well known fixed point iteration methods (the Mann and Ishikawa iteration methods), under suitable conditions, converges strongly to a solution of the equation Tx = ƒ. Furthermore, our method shows that such a solution is necessarily unique. Explicit error estimates are given. Our results resolve in the affirmative an open problem ( J. Math, Anal, Appl . 151, No. 2 (1990), 460) and generalize important known results.

Monday Ogudu Nnakwe - One of the best experts on this subject based on the ideXlab platform.

  • A common solution of generalized equilibrium problems and fixed points of pseudo-contractive-type maps
    Journal of Applied Mathematics and Computing, 2020
    Co-Authors: Monday Ogudu Nnakwe, Chibueze Christian Okeke
    Abstract:

    In this paper, a new iterative algorithm of a Halpern-type is constructed. The sequence generated by the algorithm is proved to converge strongly to a common solution of two generalized equilibrium problems and a common J -fixed point of two continuous J -pseudo-contractive maps in a uniformly smooth and uniformly convex Real Banach Space. Furthermore, a numerical example is given to illustrate the implementability of our algorithm. Finally, the theorem complements, improves and unifies some related recent results in the literature.

  • a strong convergence theorem for generalized φ strongly monotone maps with applications
    Fixed Point Theory and Applications, 2019
    Co-Authors: C E Chidume, Monday Ogudu Nnakwe, A Adamu
    Abstract:

    Let X be a uniformly convex and uniformly smooth Real Banach Space with dual Space $X^{*}$ . In this paper, a Mann-type iterative algorithm that approximates the zero of a generalized-Φ-strongly monotone map is constructed. A strong convergence theorem for a sequence generated by the algorithm is proved. Furthermore, the theorem is applied to approximate the solution of a convex optimization problem, a Hammerstein integral equation, and a variational inequality problem. This theorem generalizes, improves, and complements some recent results. Finally, examples of generalized-Φ-strongly monotone maps are constructed and numerical experiments which illustrate the convergence of the sequence generated by our algorithm are presented.