Results 161 to 170 of about 19,030 (190)

Subgradient Method

2022
openaire   +1 more source

Parallel Subgradient Methods for Convex Optimization

2001
We study subgradient methods for minimizing a sum of convex functions over a closed convex set. To generate a search direction, each iteration employs subgradients of a subset of the objectives evaluated at the current iterate, as well as past subgradients of the remaining objectives.
openaire   +1 more source

Subgradient Methods

2014
Adil Bagirov, Napsu Karmitsa, Marko M. Mäkelä   +2 more
openaire   +1 more source

Hybrid inertial subgradient extragradient methods for variational inequalities and fixed point problems involving asymptotically nonexpansive mappings

Optimization, 2021
Lu-Chuan Ceng
exaly  

Subgradient Extragradient Method with Double Inertial Steps for Variational Inequalities

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

Chapter 28: Subgradient Methods

2023
openaire   +1 more source

Nondifferentiable Optimization: Subgradient Optimization Methods, Subgradient Methods

2012
openaire   +1 more source

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  

Distributed Subgradient Methods for Multi-Agent Optimization

IEEE Transactions on Automatic Control, 2009
Angelia Nedich
exaly  

Primal-dual subgradient methods for convex problems

Mathematical Programming, 2007
Yurii Nesterov
exaly