Convergence analysis of a class of nonlinear penalization methods for constrained optimization via first-order necessary optimality conditions
type: Item
instance of: scholarly article
title: Convergence analysis of a class of nonlinear penalization methods for constrained optimization via first-order necessary optimality conditions
zbMATH Open document ID: 1045.90063
DOI: 10.1023/A:1022503820909
published in: Journal of Optimization Theory and Applications
publication date: 2003-10-29T00:00:00Z
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 90C46
Mathematics Subject Classification ID: 49M30
zbMATH DE Number: 1997728
zbMATH Keywords: Nonlinear penalization
zbMATH Keywords: necessary optimality conditions
zbMATH Keywords: differentiability
zbMATH Keywords: locally Lipschitz functions
zbMATH Keywords: smooth approximate variational principle
author: Xuexiang Huang
author: Xiao Qi Yang
MaRDI profile type: Publication
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full work available at URL: a:1022503820909
OpenAlex ID: W219301653
description: scientific article; zbMATH DE number 1997728