A self-adaptive trust region method with line search based on a simple subproblem model

DOI10.1016/j.cam.2009.06.027zbMath1175.90378OpenAlexW2047785690MaRDI QIDQ843159

Qingying Sun, Zhaoyang Sang

Publication date: 29 September 2009

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

Full work available at URL: https://doi.org/10.1016/j.cam.2009.06.027

zbMATH Keywords

unconstrained optimizationline searchtrust region methods

Mathematics Subject Classification ID

Nonlinear programming (90C30) Methods of quasi-Newton type (90C53)

Related Items (15)

A nonmonotone trust region method based on simple conic models for unconstrained optimization ⋮ A new nonmonotone trust region method for unconstrained optimization equipped by an efficient adaptive radius ⋮ An adaptive trust region method based on simple conic models ⋮ A nonmonotone adaptive trust region method based on conic model for unconstrained optimization ⋮ A nonmonotone weighting self-adaptive trust region algorithm for unconstrained nonconvex optimization ⋮ A new nonmonotone adaptive trust region line search method for unconstrained optimization ⋮ Nonmonotone adaptive trust region method based on simple conic model for unconstrained optimization ⋮ Nonmonotone adaptive trust region method with line search based on new diagonal updating ⋮ An improved trust region method for unconstrained optimization ⋮ A new trust region method for solving least-square transformation of system of equalities and inequalities ⋮ A new self-adaptive trust region method for unconstrained optimization ⋮ A nonmonotone line search method and its convergence for unconstrained optimization ⋮ An adaptive nonmonotone trust region method based on a modified scalar approximation of the Hessian in the successive quadratic subproblems ⋮ A novel self-adaptive trust region algorithm for unconstrained optimization ⋮ A relaxed nonmonotone adaptive trust region method for solving unconstrained optimization problems

Uses Software

• minpack

Cites Work

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• Convergence of quasi-Newton method with new inexact line search
• Efficient hybrid conjugate gradient techniques
• Two new unconstrained optimization algorithms which use function and gradient values
• An adaptive trust region method and its convergence
• The Conjugate Gradient Method and Trust Regions in Large Scale Optimization
• A Family of Trust-Region-Based Algorithms for Unconstrained Minimization with Strong Global Convergence Properties
• Testing Unconstrained Optimization Software
• Automatic Determination of an Initial Trust Region in Nonlinear Programming
• A New Algorithm for Unconstrained Optimization

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