Adaptive algorithm for constrained least-squares problems
type: Item
instance of: scholarly article
title: Adaptive algorithm for constrained least-squares problems
zbMATH Open document ID: 1026.90083
DOI: 10.1023/A:1016043919978
published in: Journal of Optimization Theory and Applications
publication date: 2003-03-10T00:00:00Z
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 90C55
Mathematics Subject Classification ID: 65K10
zbMATH DE Number: 1879253
zbMATH Keywords: constrained optimization
zbMATH Keywords: nonlinear least squares
zbMATH Keywords: SQP methods
zbMATH Keywords: Gauss-Newton approximation
zbMATH Keywords: quasi-Newton method
author: Zhengfeng Li
author: Michael R. Osborne
author: Tania Prvan
MaRDI profile type: Publication
cites work: Q4226179
cites work: On the Implementation of an Algorithm for Large-Scale Equality Constrained Optimization
cites work: An Adaptive Nonlinear Least-Squares Algorithm
cites work: Constrained nonlinear least squares: an exact penalty approach with projected structured quasi-Newton updates
cites work: Hybrid Methods for Nonlinear Least Squares
cites work: On Secant Updates for Use in General Constrained Optimization
cites work: Exploiting additional structure in equality constrained optimization by structured SQP secant algorithms
cites work: Scoring with constraints
cites work: Local and Superlinear Convergence for Partially Known Quasi-Newton Methods
cites work: Test examples for nonlinear programming codes
cites work: More test examples for nonlinear programming codes
cites work: An SQP Augmented Lagrangian BFGS Algorithm for Constrained Optimization
full work available at URL: a:1016043919978
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description: scientific article; zbMATH DE number 1879253