Generalized System for Relaxed Cocoercive Variational Inequalities and Projection Methods

R. U. Verma
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R. U. Verma: University of Toledo

Journal of Optimization Theory and Applications, 2004, vol. 121, issue 1, No 11, 203-210

Abstract: Abstract Let K be a nonempty closed convex subset of a real Hilbert space H. The approximate solvability of a system of nonlinear variational inequality problems, based on the convergence of projection methods, is discussed as follows: find an element (x*, y*)∈K×K such that $$\begin{gathered} \left\langle {\rho {\rm T}(y^* ,x^* ) + x^* - y^* ,x - x^* } \right\rangle \geqslant 0,{\text{ }}\forall x \in K{\text{ and }}\rho > 0, \hfill \\ \left\langle {\eta {\rm T}(x^* ,y^* ) + y^* - x^* ,x - x^* } \right\rangle \geqslant 0,{\text{ }}\forall x \in K{\text{ and }}\eta > 0, \hfill \\ \end{gathered}$$ where T: K×K→H is a nonlinear mapping on K×K.

Keywords: Relaxed cocoercive nonlinear variational inequalities; projection methods; relaxed cocoercive mappings; cocoercive mappings; convergence of projection methods (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (8)

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DOI: 10.1023/B:JOTA.0000026271.19947.05

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