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A general iterative method of fixed points for equilibrium problems and optimization problems
Authors:Fang Zhang  Yongfu Su
Affiliation:(1) Department of Mathematics, Tianjin Polytechnic University, Tianjin, 300160, China
Abstract:The purpose of this paper is to present a general iterative scheme as below:
$$ left{ {begin{array}{*{20}{c}} {Fleft( {{u_n},y} right) + frac{1}{r_n}leftlangle {y - {u_n},{u_n} - {x_n}} rightrangle geqslant 0,} & {forall y in C,}  {{x_{n + 1}} = left( {I - {alpha_n}A} right)S{u_n} + {alpha_n}gamma fleft( {x_n} right),} & {}  end{array} } right. $$
and to prove that, if {α n } and {r n } satisfy appropriate conditions, then iteration sequences {x n } and {u n } converge strongly to a common element of the set of solutions of an equilibrium problem and the set of fixed points of a nonexpansive mapping and the set of solution of a variational inequality, too. Furthermore, by using the above result, we can also obtain an iterative algorithm for solution of an optimization problem $$ mathop {min }limits_{x in C} h(x) $$, where h(x) is a convex and lower semicontinuous functional defined on a closed convex subset C of a Hilbert space H. The results presented in this paper extend, generalize and improve the results of Combettes and Hirstoaga, Wittmann, S.Takahashi, Giuseppe Marino, Hong-Kun Xu, and some others. This research is supported by the National Natural Science Foundation of China under Grant No. 10771050.
Keywords:Eprilibrium problem  nonexpansive mappings  optimization problem  strong convergence  variational inequality
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