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On finite convergence of proximal point algorithms for variational inequalities

Authors: Xiu, Naihua; Zhang, Jianzhong;

On finite convergence of proximal point algorithms for variational inequalities

Abstract

Various concepts of sharp solutions are utilized by many authors for ensuring the finite termination property of iterative methods; see, e.g., \textit{M. C. Ferris} [Math. Program., Ser. A 50, No. 3, 359--366 (1991; Zbl 0741.90051)] where it was obtained for the proximal point method. The authors present similar results for the case of variational inequalities under somewhat weakened conditions and afterwards adjust them for the inertial proximal point method applied to extended variational inequalities.

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Keywords

Numerical optimization and variational techniques, finite termination, Numerical methods based on nonlinear programming, weakly sharp solutions, Applied Mathematics, Variational inequalities, proximal methods, Inertial proximal method, Weak sharpness, Variational and other types of inequalities involving nonlinear operators (general), Proximal point algorithm, iterative methods, Finite convergence, variational inequalities, Analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Average
Top 10%
Average
hybrid