A new trust region dogleg method for unconstrained optimization

DOI10.1007/s11766-000-0013-8zbMath0957.90122OpenAlexW2057697936MaRDI QIDQ1976461

Yingliang Zhao, Cheng-Xian Xu

Publication date: 10 May 2000

Published in: Applied Mathematics. Series B (English Edition) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11766-000-0013-8

zbMATH Keywords

unconstrained optimizationglobally convergenttrust region dogleg method

Mathematics Subject Classification ID

Nonlinear programming (90C30)

Related Items (2)

A simple alternating direction method for the conic trust region subproblem ⋮ A new alternating direction trust region method based on conic model for solving unconstrained optimization

Cites Work

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• Two new unconstrained optimization algorithms which use function and gradient values
• A Family of Trust-Region-Based Algorithms for Unconstrained Minimization with Strong Global Convergence Properties
• A Class of Indefinite Dogleg Path Methods for Unconstrained Minimization

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