Weak convergence of a projection algorithm for variational inequalities in a Banach space
Weak convergence of a projection algorithm for variational inequalities in a Banach space
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DOI:
10.1016/j.jmaa.2007.07.019
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发表时间:
2008-03-01
影响因子:
1.3
通讯作者:
Takahashi, Wataru
中科院分区:
文献类型:
--
作者:
Iiduka, Hideaki;Takahashi, Wataru
Let C be a nonempty, closed convex subset of a Banach space E. In this paper, motivated by Alber [Ya.I. Alber, Metric and generalized projection operators in Banach spaces: Properties and applications, in: A.G. Kartsatos (Ed.), Theory and Applications of Nonlinear Operators of Accretive and Monotone Type, in: Lecture Notes Pure Appl. Math., vol. 178, Dekker, New York, 1996, pp. 15-50], we introduce the following iterative scheme for finding a solution of the variational inequality problem for an inversestrongly-monotone operator A in a Banach space: x(1) = x is an element of C andx(n+1) = Pi(C)J(-1)(Jx(n)-lambda(n)Ax(n))for every n = 1. 2, ..., where Pi(C) is the generalized projection from E onto C, J is the duality mapping from E into E-* and {lambda(n)} is a sequence of positive real numbers. Then we show a weak convergence theorem (Theorem 3.1). Finally, using this result, we consider the convex minimization problem, the complementarity problem, and the problem of finding a point U E E satisfying 0 = Au. (c) 2007 Elsevier Inc. All rights reserved.