Nonmonotone trust region algorithm for unconstrained optimization problems

DOI10.1016/j.amc.2010.09.044zbMath1210.65120OpenAlexW1970529249MaRDI QIDQ618133

Qing-Jun Wu

Publication date: 14 January 2011

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

Full work available at URL: https://doi.org/10.1016/j.amc.2010.09.044

zbMATH Keywords

unconstrained optimizationglobal convergencenumerical resultssuperlinear convergencetrust region methodnonmonotone technique

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Interior-point methods (90C51)

Related Items (7)

A nonmonotone trust region method based on simple conic models for unconstrained optimization ⋮ A nonmonotone ODE-based method for unconstrained optimization ⋮ An adaptive trust region method based on simple conic models ⋮ Trust-region method for box-constrained semismooth equations and its applications to complementary problems ⋮ An accelerated nonmonotone trust region method with adaptive trust region for unconstrained optimization ⋮ A nonmonotone trust region method based on simple quadratic models ⋮ Nonmonotone adaptive trust region method with line search based on new diagonal updating

Uses Software

• minpack

Cites Work

• Unnamed Item
• Nonmonotone trust region methods with curvilinear path in unconstrained optimization
• Nonmonotonic trust region algorithm
• Non-monotone trust-region algorithms for nonlinear optimization subject to convex constraints
• Nonmonotone adaptive trust-region method for unconstrained optimization problems
• A nonmonotone adaptive trust region method and its convergence
• Nonmonotone globalization techniques for the Barzilai-Borwein gradient method
• A nonmonotone trust region method based on nonincreasing technique of weighted average of the successive function values
• The Conjugate Gradient Method and Trust Regions in Large Scale Optimization
• Testing Unconstrained Optimization Software
• A Nonmonotone Line Search Technique and Its Application to Unconstrained Optimization
• A Nonmonotone Line Search Technique for Newton’s Method

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