A CONIC AFFINE SCALING DOGLEG METHOD FOR NONLINEAR OPTIMIZATION WITH BOUND CONSTRAINTS

DOI10.1142/S0217595913400113zbMath1273.90209OpenAlexW2126328535MaRDI QIDQ2846491

Lijuan Zhao, Wen-Yu Sun

Publication date: 5 September 2013

Published in: Asia-Pacific Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0217595913400113

zbMATH Keywords

nonlinear optimizationtrust region methodconic modelbound constrained optimizationaffine scaling

Mathematics Subject Classification ID

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

Related Items (4)

A simple alternating direction method for the conic trust region subproblem ⋮ A projection method for convex constrained monotone nonlinear equations with applications ⋮ Quasi-Newton methods for constrained nonlinear systems: complexity analysis and applications ⋮ Nonmonotone conic trust region method with line search technique for bound constrained optimization

Cites Work

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• A class of collinear scaling algorithms for bound-constrained optimization: convergence theorems
• An adaptive approach of conic trust-region method for unconstrained optimization problems
• An adaptive conic trust-region method for unconstrained optimization
• Conic Approximations and Collinear Scalings for Optimizers
• The Q-Superlinear Convergence of a Collinear Scaling Algorithm for Unconstrained Optimization
• Trust Region Methods
• An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds
• Optimality Conditions for Trust-Region Subproblems Involving a Conic Model
• Benchmarking optimization software with performance profiles.
• A conic trust-region method for nonlinearly constrained optimization

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