A nonmonotone line search method and its convergence for unconstrained optimization

DOI10.1177/1077546311434793zbMath1348.65099OpenAlexW2108048386MaRDI QIDQ2831936

Zhaocheng Cui, Zhenqi Yang

Publication date: 4 November 2016

Published in: Journal of Vibration and Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1077546311434793

zbMATH Keywords

unconstrained optimizationglobal convergencenonmonotone line search\(F\)-function

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Newton-type methods (49M15)

Cites Work

• Global convergence of nonmonotone descent methods for unconstrained optimization problems
• A self-adaptive trust region method with line search based on a simple subproblem model
• Convergence of nonmonotone line search method
• Minimization of functions having Lipschitz continuous first partial derivatives
• Numerical Optimization
• A Nonmonotone Line Search Technique and Its Application to Unconstrained Optimization
• A Nonmonotone Line Search Technique for Newton’s Method
• An Assessment of Nonmonotone Linesearch Techniques for Unconstrained Optimization
• Convergence Conditions for Ascent Methods
• A new nonmonotone line search technique for unconstrained optimization
• On the nonmonotone line search

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