A nonmonotone weighting self-adaptive trust region algorithm for unconstrained nonconvex optimization

DOI10.1155/2015/825839zbMath1418.90202OpenAlexW2177457621WikidataQ59105479 ScholiaQ59105479MaRDI QIDQ1723529

Wenyu Li, Weiwei Yang, Yunlong Lu, Xiao-Wei Jiang, Yue-Ting Yang

Publication date: 19 February 2019

Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/825839

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Methods of successive quadratic programming type (90C55)

Uses Software

• CUTEr
• SifDec
• minpack

Cites Work

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• A nonmonotone trust region method with adaptive radius for unconstrained optimization problems
• A nonmonotone adaptive trust region method for unconstrained optimization based on conic model
• Nonmonotone adaptive trust region method
• Sensitivity of trust-region algorithms to their parameters
• A self-adaptive trust region method with line search based on a simple subproblem model
• A self-adaptive trust region method for the extended linear complementarity problems
• Nonmonotone adaptive trust-region method for unconstrained optimization problems
• A nonmonotone adaptive trust region method and its convergence
• A new modified nonmonotone adaptive trust region method for unconstrained optimization
• A novel self-adaptive trust region algorithm for unconstrained optimization
• A new non-monotone self-adaptive trust region method for unconstrained optimization
• A nonmonotone trust region method based on nonincreasing technique of weighted average of the successive function values
• A new trust region method for unconstrained optimization
• Optimization theory and methods. Nonlinear programming
• An adaptive approach of conic trust-region method for unconstrained optimization problems
• Testing Unconstrained Optimization Software
• Automatic Determination of an Initial Trust Region in Nonlinear Programming
• Trust Region Methods
• A Nonmonotone Line Search Technique and Its Application to Unconstrained Optimization
• A Nonmonotone Line Search Technique for Newton’s Method
• CUTEr and SifDec
• A Note on Trust-Region Radius Update
• Benchmarking optimization software with performance profiles.

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