Global convergence of trust region algorithm for equality and bound constrained nonlinear optimization

DOI10.1007/s11766-003-0088-0zbMath1032.65062OpenAlexW1975388210MaRDI QIDQ1812223

Xiaojiao Tong, S. Z. Zhou

Publication date: 8 March 2004

Published in: Applied Mathematics. Series B (English Edition) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11766-003-0088-0

zbMATH Keywords

global convergencenonlinear optimizationtrust region method

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30)

Uses Software

• TRICE

Cites Work

• Test examples for nonlinear programming codes
• A trust region algorithm for equality constrained optimization
• A new trust region algorithm for bound constrained minimization
• Two-phase model algorithm with global convergence for nonlinear programming
• Nonlinear programming algorithms using trust regions and augmented Lagrangians with nonmonotone penalty parameters.
• Global convergence of nonmonotonic trust region algorithm for nonlinear optimization
• A trust-region strategy for minimization on arbitrary domains
• On the convergence of a new trust region algorithm
• A Global Convergence Theory for General Trust-Region-Based Algorithms for Equality Constrained Optimization
• Trust-Region Interior-Point SQP Algorithms for a Class of Nonlinear Programming Problems
• A Robust Trust-Region Algorithm with a Nonmonotonic Penalty Parameter Scheme for Constrained Optimization
• An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds

This page was built for publication: Global convergence of trust region algorithm for equality and bound constrained nonlinear optimization