A two-piece update of projected Hessian algorithm with nonmonotonic trust region method for constrained optimization

DOI10.1016/j.amc.2003.08.030zbMath1071.65091OpenAlexW2026387094MaRDI QIDQ1888512

De-Tong Zhu

Publication date: 23 November 2004

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2003.08.030

zbMATH Keywords

Convergencenumerical experimenttrust region methodsnonmonotonic techniquetwo-piece update

Mathematics Subject Classification ID

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

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• More test examples for nonlinear programming codes
• Test examples for nonlinear programming codes
• Nonmonotonic trust region algorithm
• A convergent secant method for constrained optimization
• On the Local Convergence of a Quasi-Newton Method for the Nonlinear Programming Problem
• On the global convergence of trust region algorithms for unconstrained minimization
• Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization
• A recursive quadratic programming algorithm that uses differentiable exact penalty functions
• A Trust Region Algorithm for Nonlinearly Constrained Optimization
• Quasi-Newton Methods, Motivation and Theory
• A nonmonotonic trust region method for constrained optimization problems
• Local Convergence of a Two-Piece Update of a Projected Hessian Matrix
• A Nonmonotone Line Search Technique for Newton’s Method

This page was built for publication: A two-piece update of projected Hessian algorithm with nonmonotonic trust region method for constrained optimization