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Hybrid Steepest Descent Method with Variable Parameters for General Variational Inequalities

Journal of Inequalities and Applications volume 2007, Article number: 019270 (2007) Cite this article

Abstract

We study the strong convergence of a hybrid steepest descent method with variable parameters for the general variational inequality (GVI). Consequently, as an application, we obtain some results concerning the constrained generalized pseudoinverse. Our results extend and improve the result of Yao and Noor (2007) and many others.

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Authors and Affiliations

  1. Department of Mathematics, Tianjin Polytechnic University, Tianjin, 300160, China

    Yanrong Yu & Rudong Chen

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  1. Yanrong Yu
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  2. Rudong Chen
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Correspondence to Yanrong Yu.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Yu, Y., Chen, R. Hybrid Steepest Descent Method with Variable Parameters for General Variational Inequalities. J Inequal Appl 2007, 019270 (2007). https://doi.org/10.1155/2007/19270

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