A nonmonotone ODE-based method for unconstrained optimization

DOI10.1080/00207160.2013.864390zbMath1302.90216OpenAlexW2069022298MaRDI QIDQ2935398

Yi-gui Ou

Publication date: 29 December 2014

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207160.2013.864390

zbMATH Keywords

convergence analysisunconstrained optimizationnonmonotone line searchIMPBOT algorithm

Mathematics Subject Classification ID

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

Cites Work

• A nonmonotone line search slackness technique for unconstrained optimization
• A hybrid trust region algorithm for unconstrained optimization
• Nonmonotone trust region algorithm for unconstrained optimization problems
• A non-monotone line search algorithm for unconstrained optimization
• Nonmonotone adaptive trust region method
• A hybrid ODE-based method for unconstrained optimization problems
• New inexact line search method for unconstrained optimization
• On the limited memory BFGS method for large scale optimization
• Combining trust-region techniques and Rosenbrock methods to compute stationary points
• Hybrid conjugate gradient algorithm for unconstrained optimization
• Some effective methods for unconstrained optimization based on the solution of systems of ordinary differential equations
• Nonmonotonic trust region algorithm
• Representations of quasi-Newton matrices and their use in limited memory methods
• Neurodynamical optimization
• A quasi-Newton trust-region method
• Nonmonotone trust region method for solving optimization problems
• Monotone and nonmonotone trust-region-based algorithms for large scale unconstrained optimization problems
• The convergence of subspace trust region methods
• A nonmonotone trust-region line search method for large-scale unconstrained optimization
• Incorporating nonmonotone strategies into the trust region method for unconstrained optimization
• A new nonmonotone trust-region method of conic model for solving unconstrained optimization
• A class of nonmonotone Armijo-type line search method for unconstrained optimization
• An ODE-Based Trust Region Filter Algorithm for Unconstrained Optimization
• The Barzilai and Borwein Gradient Method for the Large Scale Unconstrained Minimization Problem
• Two-Point Step Size Gradient Methods
• Testing Unconstrained Optimization Software
• A Nonmonotone Line Search Technique and Its Application to Unconstrained Optimization
• Trust Region Algorithms and Timestep Selection
• A Nonmonotone Line Search Technique for Newton’s Method
• An Assessment of Nonmonotone Linesearch Techniques for Unconstrained Optimization
• Benchmarking optimization software with performance profiles.
• On the nonmonotone line search

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