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Algorithmic Approach to a Minimization Problem

Algorithmic approach to a minimization problem
Authors: Yao, Yonghong; Kang, Shin Min; Liou, Yeong-Cheng; Wu, Zhitao;

Algorithmic Approach to a Minimization Problem

Abstract

We first construct an implicit algorithm for solving the minimization problem minx∈Ω∥x∥ , where Ω is the intersection set of the solution set of some equilibrium problem, the fixed points set of a nonexpansive mapping, and the solution set of some variational inequality. Further, we suggest an explicit algorithm by discretizing this implicit algorithm. We prove that the proposed implicit and explicit algorithms converge strongly to a solution of the above minimization problem.

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Keywords

Other numerical methods in calculus of variations, QA1-939, minimization problem, Contraction-type mappings, nonexpansive mappings, \(A\)-proper mappings, etc., variational inequality, Mathematics, discretizing an implicit algorithm, fixed-point set of a nonexpansive mapping

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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!
0
Average
Average
Average
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