Combining Trust Region and Line Search Methods for Equality Constrained Optimization

DOI10.1081/NFA-120020253zbMath1023.90065OpenAlexW2058731384MaRDI QIDQ4413521

S. Z. Zhou, Xiaojiao Tong

Publication date: 20 July 2003

Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/nfa-120020253

zbMATH Keywords

global convergenceNocedal-Yuan method

Mathematics Subject Classification ID

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

Cites Work

• A trust region algorithm for equality constrained optimization
• An analysis of reduced Hessian methods for constrained optimization
• A Global Convergence Theory for General Trust-Region-Based Algorithms for Equality Constrained Optimization
• The Conjugate Gradient Method and Trust Regions in Large Scale Optimization
• A Trust Region Algorithm for Equality Constrained Minimization: Convergence Properties and Implementation
• A successive quadratic programming algorithm with global and superlinear convergence properties
• A recursive quadratic programming algorithm that uses differentiable exact penalty functions
• A Robust Trust-Region Algorithm with a Nonmonotonic Penalty Parameter Scheme for Constrained Optimization
• A Global Convergence Theory for the Celis–Dennis–Tapia Trust-Region Algorithm for Constrained Optimization

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