Regularization of Nonlinear Ill-Posed Variational Inequalities and Convergence Rates

184Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Let H be a Hilbert space and K be a nonempty closed convex subset of H. For f ∈ H, we consider the (ill-posed) problem of finding u ∈ K for which 〈Au - f, υ - u〉 ≥ 0 for all υ ∈ K, where A: H → H is a monotone (not necessarily linear) operator. We study the approximation of the solutions of the variational inequality by using the following perturbed variational inequality: for fδ ∈ H, ∥fδ - f∥ ≤ δ, find uδ,ηε ∈Kη for which 〈Auδ,ηε + εuδ,ηε - fδ, υ - uδ,ηε〉 ≥ 0 for all υ ∈ Kη, where ε, δ, and η are positive parameters, and Kη, a perturbation of the set K, is a nonempty closed convex set in H. We establish convergence and a rate O(ε1/3) of convergence of the solutions of the regularized variational inequalities to a solution of the original variational inequality using the Mosco approximation of closed convex sets, where A is a weakly differentiable inverse-strongly-monotone operator.

Cite

CITATION STYLE

APA

Liu, F., & Nashed, M. Z. (1998). Regularization of Nonlinear Ill-Posed Variational Inequalities and Convergence Rates. Set-Valued Analysis, 6(4), 313–344. https://doi.org/10.1023/A:1008643727926

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free