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Journal of Inequalities and Applications | Vol.2008, Issue.1 | 2017-05-30 | Pages

Journal of Inequalities and Applications

Finite-Step Relaxed Hybrid Steepest-Descent Methods for Variational Inequalities

Lin Yen-Cherng  
Abstract

The classical variational inequality problem with a Lipschitzian and strongly monotone operator on a nonempty closed convex subset in a real Hilbert space was studied. A new finite-step relaxed hybrid steepest-descent method for this class of variational inequalities was introduced. Strong convergence of this method was established under suitable assumptions imposed on the algorithm parameters.

Original Text (This is the original text for your reference.)

Finite-Step Relaxed Hybrid Steepest-Descent Methods for Variational Inequalities

The classical variational inequality problem with a Lipschitzian and strongly monotone operator on a nonempty closed convex subset in a real Hilbert space was studied. A new finite-step relaxed hybrid steepest-descent method for this class of variational inequalities was introduced. Strong convergence of this method was established under suitable assumptions imposed on the algorithm parameters.

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Lin Yen-Cherng,.Finite-Step Relaxed Hybrid Steepest-Descent Methods for Variational Inequalities. 2008 (1),.

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