نتایج جستجو برای: krasnoselskii mann iterative method

تعداد نتایج: 1680724  

‎In a real Hilbert space‎, ‎an iterative scheme is considered to‎ ‎obtain strong convergence which is an essential tool to find a‎ ‎common fixed point for a countable family of nonexpansive mappings‎ ‎and the solution of a variational inequality problem governed by a‎ ‎monotone mapping‎. ‎In this paper‎, ‎we give a procedure which results‎ ‎in developing Shehu's result to solve equilibrium prob...

Journal: :Zeitschrift für Wirtschafts- und Unternehmensethik 2003

2016
Wengui Yang Yaping Qin

Since Al-Salam [1] and Agarwal [2] introduced the fractional q-difference calculus, the theory of fractional q-difference calculus itself and nonlinear fractional q-difference equation boundary value problems have been extensively investigated by many researchers. For some recent developments on fractional q-difference calculus and boundary value problems of fractional q-difference equations, s...

Journal: :Symmetry 2023

In this paper, we study a coupled fully hybrid system of (k,Φ)–Hilfer fractional differential equations equipped with non-symmetric (k,Φ)–Riemann-Liouville (RL) integral conditions. To prove the existence and uniqueness results, use Krasnoselskii Perov fixed-point theorems Lipschitzian matrix in context generalized Banach space (GBS). Moreover, Ulam–Hyers (UH) stability solutions is discussed b...

2015
Chao Wang Taizhong Zhang P. Kumam

In this paper, a pair of generalized nonlinear mappings are introduced. Sufficient conditions for the existence of common fixed points for a pair of generalized nonlinear mappings in convex metric spaces are obtained and Krasnoselskii type iterations are used to approximate common fixed points. Our results generalize and extend various known results. c ©2016 All rights reserved.

begin{abstract} In this paper, we introduce an iterative method for amenable semigroup of non expansive mappings and infinite family of non expansive mappings in the frame work of Hilbert spaces. We prove the strong convergence of the proposed iterative algorithm to the unique solution of a variational inequality, which is the optimality condition for a minimization problem. The results present...

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