A feasible trust region method for nonlinear inequality constrained optimization

DOI10.1080/02331939808844387zbMath0910.90249OpenAlexW2087523368MaRDI QIDQ4397406

Fang Wu, Nai-Hua Xiu

Publication date: 6 April 1999

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331939808844387

zbMATH Keywords

global convergencetrust region methodinequality constrained optimizationtwo-step superlinear rate of convergence

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Numerical methods based on nonlinear programming (49M37)

Cites Work

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• A trust region algorithm for equality constrained optimization
• A trust-region strategy for minimization on arbitrary domains
• A class of trust region methods for linear inequality constrained optimization and its theory analysis. I: Algorithm and global convergence
• Convergence of Trust Region Algorithms for Optimization with Bounds when Strict Complementarity Does Not Hold
• Global Convergence of a a of Trust-Region Methods for Nonconvex Minimization in Hilbert Space
• Properties of a representation of a basis for the null space
• A Trust Region Algorithm for Equality Constrained Minimization: Convergence Properties and Implementation
• Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization
• A Class of Trust Region Methods for Nonlinear Network Optimization Problems

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