Results 11 to 20 of about 22,536 (196)

Radial Subgradient Method [PDF]

open access: yesSIAM Journal on Optimization, 2018
We present a subgradient method for minimizing non-smooth, non-Lipschitz convex optimization problems. The only structure assumed is that a strictly feasible point is known. We extend the work of Renegar [5] by taking a different perspective, leading to an algorithm which is conceptually more natural, has notably improved convergence rates, and for ...
Grimmer, Benjamin
openaire   +4 more sources

Bounded perturbation resilience of extragradient-type methods and their applications [PDF]

open access: yesJournal of Inequalities and Applications, 2017
In this paper we study the bounded perturbation resilience of the extragradient and the subgradient extragradient methods for solving a variational inequality (VI) problem in real Hilbert spaces.
Q-L Dong, A Gibali, D Jiang, Y Tang
doaj   +5 more sources

Barrier subgradient method [PDF]

open access: yesMathematical Programming, 2010
The author focusses on a class of problems of minimizing a nonsmooth convex function over a feasible set endowed by a self-concordant barrier. After studying the smoothing of the support function of a convex set by a self-concordant barrier, the author describes the corresponding barrier subgradient method (BSM).
NESTEROV, Y.
openaire   +5 more sources

On Mann-Type Subgradient-like Extragradient Method with Linear-Search Process for Hierarchical Variational Inequalities for Asymptotically Nonexpansive Mappings

open access: yesMathematics, 2021
We propose two Mann-type subgradient-like extra gradient iterations with the line-search procedure for hierarchical variational inequality (HVI) with the common fixed-point problem (CFPP) constraint of finite family of nonexpansive mappings and an ...
Lu-Chuan Ceng   +2 more
doaj   +1 more source

Analysis of Subgradient Extragradient Iterative Schemes for Variational Inequalities

open access: yesJournal of Mathematics, 2021
In this paper, we investigate the monotone variational inequality in Hilbert spaces. Based on Censor’s subgradient extragradient method, we propose two modified subgradient extragradient algorithms with self-adaptive and inertial techniques for finding ...
Danfeng Wu   +3 more
doaj   +1 more source

Modified Mann-Type Subgradient Extragradient Rules for Variational Inequalities and Common Fixed Points Implicating Countably Many Nonexpansive Operators

open access: yesMathematics, 2022
In a real Hilbert space, let the CFPP, VIP, and HFPP denote the common fixed-point problem of countable nonexpansive operators and asymptotically nonexpansive operator, variational inequality problem, and hierarchical fixed point problem, respectively ...
Yun-Ling Cui   +6 more
doaj   +1 more source

Increase of noise immunity of photomask images binarization in the space of the wavelet transform [PDF]

open access: yesTekhnologiya i Konstruirovanie v Elektronnoi Apparature, 2011
An information technology for histogram analysis and a method for noise immunity binary processing of integrated and printed circuits board photo-masks image based on this technology was carryed out.
Shcherbakova G. Yu.   +4 more
doaj   +2 more sources

Projected Subgradient Minimization Versus Superiorization [PDF]

open access: yesJournal of Optimization Theory and Applications, 2013
18 pages, 3 ...
Censor, Yair   +4 more
openaire   +3 more sources

Robust Tracking as Constrained Optimization by Uncertain Dynamic Plant: Mirror Descent Method and ASG—Version of Integral Sliding Mode Control

open access: yesMathematics, 2023
A class of controlled objects is considered, the dynamics of which are determined by a vector system of ordinary differential equations with a partially known right-hand side.
Alexander Nazin   +2 more
doaj   +1 more source

On Robustness of the Normalized Subgradient Method with Randomly Corrupted Subgradients [PDF]

open access: yes2021 American Control Conference (ACC), 2021
Numerous modern optimization and machine learning algorithms rely on subgradient information being trustworthy and hence, they may fail to converge when such information is corrupted. In this paper, we consider the setting where subgradient information may be arbitrarily corrupted (with a given probability) and study the robustness properties of the ...
Turan, Berkay   +3 more
openaire   +2 more sources

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