Accuracy estimates of regularization methods and conditional well-posedness of nonlinear optimization problems
type: Item
instance of: scholarly article
title: Accuracy estimates of regularization methods and conditional well-posedness of nonlinear optimization problems
author: Xianqiang Yang
publication date: 2019-01-11T00:00:00Z
Mathematics Subject Classification ID: 65J20
Mathematics Subject Classification ID: 65J22
Mathematics Subject Classification ID: 47J06
Mathematics Subject Classification ID: 47J25
zbMATH DE Number: 7000330
zbMATH Keywords: ill-posed optimization problem
zbMATH Keywords: regularizing operator
zbMATH Keywords: error level
zbMATH Keywords: Hilbert space
zbMATH Keywords: convex closed set
zbMATH Keywords: conditional well-posedness
zbMATH Keywords: accuracy estimate
zbMATH Keywords: Bakushinsky veto
MaRDI profile type: Publication
full work available at URL: jiip-2017-0031
OpenAlex ID: W2799785423
cites work: Q4315822
cites work: Stable approximation schemes for ill-posed convex variational problems
cites work: Conditionally well-posed and generalized well-posed problems
cites work: On a characteristic property of conditionally well-posed problems
cites work: Convergence rate estimates for Tikhonov's scheme as applied to ill-posed nonconvex optimization problems
cites work: Necessary and sufficient conditions for power convergence rate of approximations in Tikhonov's scheme for solving ill-posed optimization problems
cites work: Q3339390
cites work: Q4217295
cites work: Q3346839
DOI: 10.1515/JIIP-2017-0031
Wikidata QID: Q129897958
published in: Journal of Inverse and Ill-posed Problems
description: scientific article; zbMATH DE number 7000330