Results 171 to 180 of about 19,030 (190)

Convergence Analysis of Deflected Conditional Approximate Subgradient Methods

SIAM Journal on Optimization, 2009
Antonio Frangioni
exaly  

Mirror descent and nonlinear projected subgradient methods for convex optimization

Operations Research Letters, 2003
Amir Beck, Marc Teboulle
exaly  

New subgradient extragradient methods for solving monotone bilevel equilibrium problems

Optimization, 2019
Pham Ngoc Anh, Pham Anh
exaly  

Superiorization with a projected subgradient method

Journal of Applied and Numerical Optimization, 2022
openaire   +1 more source

Distributed Subgradient Methods for Convex Optimization Over Random Networks

IEEE Transactions on Automatic Control, 2011
Ilan Lobel
exaly  

Nondifferentiable Optimization with Epsilon Subgradient Methods

1978
The development of optimization methods has a significant meaning for systems analysis. Optimization methods provide working tools for quantitative decision making based on correct specification of the problem and appropriately chosen solution methods. Not all problems of systems analysis are optimization problems, of course, but in any systems problem
openaire   +1 more source

Approximate Primal Solutions and Rate Analysis for Dual Subgradient Methods

SIAM Journal on Optimization, 2009
exaly  

Convergence Rates for Deterministic and Stochastic Subgradient Methods without Lipschitz Continuity

SIAM Journal on Optimization, 2019
Benjamin Grimmer
exaly  

Inexact subgradient methods for quasi-convex optimization problems

European Journal of Operational Research, 2015
Yaohua Hu, Xiaoqi Yang, Chee-Khian Sim
exaly  

Nonsmooth analysis and subgradient methods for averaging in dynamic time warping spaces

Pattern Recognition, 2018
exaly