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Subgradient Extragradient Method with Double Inertial Steps for Variational Inequalities

Journal of Scientific Computing, 2022
Yong-Hong Yao, Olaniyi S Iyiola, Yekini
exaly  

Iterative Subgradient Projection Algorithm

2016
In this chapter we study convergence of iterative subgradient projection algorithms for solving convex feasibility problems in a general Hilbert space. Our goal is to obtain an approximate solution of the problem in the presence of computational errors.
openaire   +1 more source

Applications of Proximal Subgradients

1989
Nonsmooth analysis has developed into a widely used tool. The theory of generalized gradients and its associated geometric constructions have in particular seen broad application in optimization and elsewhere. Of late, one of the most active areas of study has been proximal normal analysis. Although the proximal normal concept was actually at the heart
openaire   +1 more source

Subgradient Methods

2014
Adil Bagirov   +2 more
openaire   +1 more source

The Subgradient Extragradient Method for Solving Variational Inequalities in Hilbert Space

Journal of Optimization Theory and Applications, 2010
Yair Censor, Aviv Gibali, Simeon Reich
exaly  

Distributed Subgradient Methods for Multi-Agent Optimization

IEEE Transactions on Automatic Control, 2009
Angelia Nedich, Asuman Özdağlar
exaly  

Strong convergence of subgradient extragradient methods for the variational inequality problem in Hilbert space

Optimization Methods and Software, 2011
Yair Censor, Aviv Gibali, Simeon Reich
exaly  

Incremental Subgradient Methods for Nondifferentiable Optimization

SIAM Journal on Optimization, 2001
Dimitri P Bertsekas
exaly  

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