Strong convergence and bounded perturbation resilience of a modified proximal gradient algorithm
type: Item
instance of: scholarly article
title: Strong convergence and bounded perturbation resilience of a modified proximal gradient algorithm
zbMATH Open document ID: 1497.49018
author: Wei Cui
author: Yanni Guo
published in: Journal of Inequalities and Applications
publication date: 2021-12-15T00:00:00Z
Mathematics Subject Classification ID: 49J45
Mathematics Subject Classification ID: 90C52
zbMATH DE Number: 7445819
zbMATH Keywords: strong convergence
zbMATH Keywords: bounded perturbation resilience
zbMATH Keywords: modified proximal gradient algorithm
zbMATH Keywords: viscosity approximation
zbMATH Keywords: convex minimization problem
MaRDI profile type: Publication
full work available at URL: s13660-018-1695-x
OpenAlex ID: W2803775597
Wikidata QID: Q55048478
cites work: Convex analysis and monotone operator theory in Hilbert spaces
cites work: Q4895893
cites work: Optimization with sparsity-inducing penalties
cites work: An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
cites work: Regression Shrinkage and Selection via The Lasso: A Retrospective
cites work: Block SOR methods for the solution of indefinite least squares problems
cites work: Splitting Algorithms for the Sum of Two Nonlinear Operators
cites work: Signal Recovery by Proximal Forward-Backward Splitting
cites work: Properties and iterative methods for the lasso and its variants
cites work: Perturbation resilience of proximal gradient algorithm for composite objectives
cites work: Viscosity approximation methods for fixed-points problems
cites work: Viscosity approximation methods for nonexpansive mappings
cites work: Perturbation resilience and superiorization of iterative algorithms
cites work: Projected subgradient minimization versus superiorization
cites work: Strict Fejér monotonicity by superiorization of feasibility-seeking projection methods
cites work: Superiorization with level control
cites work: Perturbation resilience and superiorization methodology of averaged mappings
cites work: Superiorization of incremental optimization algorithms for statistical tomographic image reconstruction
cites work: Accelerated perturbation-resilient block-iterative projection methods with application to image reconstruction
cites work: Feasibility-Seeking and Superiorization Algorithms Applied to Inverse Treatment Planning in Radiation Therapy
cites work: Convergence and perturbation resilience of dynamic string-averaging projection methods
cites work: Bounded perturbation resilience of the viscosity algorithm
cites work: Bounded perturbation resilience of projected scaled gradient methods
cites work: A unified treatment of some perturbed fixed point iterative methods with an infinite pool of operators
cites work: Bounded perturbation resilience and superiorization techniques for the projected scaled gradient method
cites work: Iterative Algorithms for Nonlinear Operators
cites work: Averaged mappings and the gradient-projection algorithm
DOI: 10.1186/S13660-018-1695-X
description: scientific article; zbMATH DE number 7445819