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Subgradient Extragradient Method with Double Inertial Steps for Variational Inequalities
Journal of Scientific Computing, 2022Yong-Hong Yao, Olaniyi S Iyiola, Yekini
exaly
Iterative Subgradient Projection Algorithm
2016In 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.
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Applications of Proximal Subgradients
1989Nonsmooth 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
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The Subgradient Extragradient Method for Solving Variational Inequalities in Hilbert Space
Journal of Optimization Theory and Applications, 2010Yair Censor, Aviv Gibali, Simeon Reich
exaly
Distributed Subgradient Methods for Multi-Agent Optimization
IEEE Transactions on Automatic Control, 2009Angelia Nedich, Asuman Özdağlar
exaly
Incremental Subgradient Methods for Nondifferentiable Optimization
SIAM Journal on Optimization, 2001Dimitri P Bertsekas
exaly

