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Original Articles

Methods for Variational Inequality Problem Over the Intersection of Fixed Point Sets of Quasi-Nonexpansive Operators

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Pages 255-283 | Received 29 Nov 2011, Accepted 26 Jul 2012, Published online: 14 Jan 2013
 

Abstract

Many convex optimization problems in a Hilbert space ℋ can be written as the following variational inequality problem VIP (ℱ, C): Find such that for all z ∈ C, where C ⊂ ℋ is closed convex and ℱ: ℋ → ℋ is monotone. We consider a special case of VIP (ℱ, C), where and U i : ℋ → ℋ are quasi-nonexpansive operators having a common fixed point, i ∈ I: = {1, 2,…, m}. A standard method for VIP (ℱ, C) is the projected gradient method u k+1 = P C (u k  − μℱu k ) which generates sequences converging to a unique solution of VIP (ℱ, C) if ℱ is strongly monotone and Lipschitz continuous. Unfortunately, the method cannot be applied for , because, in general, P C u cannot be computed explicitly, u ∈ ℋ. Lions in 1977 and Bauschke in 1996 considered a special case of , where ℱ = Id −a, for some a ∈ ℋ, U i are firmly nonexpansive or nonexpansive, respectively, and studied the convergence properties of the following method: u k+1 = U i k u k  − λ k U i k u k , where λ k  ↓ 0 and is a cyclic control, i.e., i k  = k(mod m) +1 for all k ≥ 0 (see [Citation1, Citation22]). We apply this method in case ℱ is strongly monotone and Lipschitz continuous, U i are quasi-nonexpansive and is almost-cyclic. We present the method in a more general form

where T k : ℋ → ℋ, k ≥ 0, are quasi-nonexpansive, and Fix T k approximate Fix T in some sense. A special case of the method with T k  = T for all k ≥ 0 was studied in Yamada and Ogura [Citation32] and by Yamada in [Citation31], (in the latter paper, T was supposed to be nonexpansive). We give sufficient conditions for the convergence of (Equation1) as well as present examples of methods which satisfy these conditions.

Mathematics Subject Classification:

ACKNOWLEDGMENTS

The authors thank two anonymous referees for their constructive comments which helped to improve the paper.

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