A globally convergent trust region algorithm for optimization with general constraints and simple bounds.
type: Item
instance of: scholarly article
title: A globally convergent trust region algorithm for optimization with general constraints and simple bounds.
zbMATH Open document ID: 1052.90611
DOI: 10.1007/BF02684044
author: Zhongwen Chen
author: Qiaoming Han
author: Jiye Han
published in: Acta Mathematicae Applicatae Sinica. English Series
publication date: 2003-03-17T00:00:00Z
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 90C53
zbMATH DE Number: 1883445
MaRDI profile type: Publication
cites work: The nonlinear programming method of Wilson, Han, and Powell with an augmented Lagrangian type line search function. I. Convergence analysis
cites work: A Trust Region Algorithm for Nonlinearly Constrained Optimization
cites work: A trust region algorithm for equality constrained optimization
cites work: A trust-region strategy for minimization on arbitrary domains
cites work: Q4880433
cites work: On Perturbations in Systems of Linear Inequalities
cites work: A necessary and sufficient regularity condition to have bounded multipliers in nonconvex programming
full work available at URL: https://doi.org/10.1007/bf02684044
OpenAlex ID: W2050613758
description: scientific article; zbMATH DE number 1883445