A globally convergent SQP method for semi-infinite nonlinear optimization
type: Item
instance of: scholarly article
title: A globally convergent SQP method for semi-infinite nonlinear optimization
zbMATH Open document ID: 0685.90080
DOI: 10.1016/0377-0427(88)90276-2
author: Toshihide Ibaraki
author: Yoshihiro Tanaka
author: Masao Fukushima
published in: Journal of Computational and Applied Mathematics
publication date: 1988-01-01T00:00:00Z
review text: In the paper under review a new method for nonlinear semi-infinite optimization is presented. The method belongs to the class of successive quadratic programming (SQP) methods with trust region technique and utilizes an exact \(L_{\infty}\) penalty function. The algorithm developed is proved to be globally convergent under some assumptions. Implementation hints and some results of numerical experiments are presented, too.
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 90C34
Mathematics Subject Classification ID: 65K05
Mathematics Subject Classification ID: 90C20
Mathematics Subject Classification ID: 49M30
zbMATH DE Number: 4123534
zbMATH Keywords: global convergence
zbMATH Keywords: nonlinear semi-infinite optimization
zbMATH Keywords: successive quadratic programming
zbMATH Keywords: trust region technique
zbMATH Keywords: penalty function
MaRDI profile type: Publication
full work available at URL: 0377-0427(88)90276-2
OpenAlex ID: W1993127888
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description: scientific article; zbMATH DE number 4123534