A class of derivative-free trust-region methods with interior backtracking technique for nonlinear optimization problems subject to linear inequality constraints

DOI10.1186/s13660-018-1698-7zbMath1497.49043OpenAlexW2801537889WikidataQ55334201 ScholiaQ55334201MaRDI QIDQ824557

Jing Gao, Jian Cao

Publication date: 15 December 2021

Published in: Journal of Inequalities and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s13660-018-1698-7

zbMATH Keywords

inequality constraintsderivative-free optimizationtrust-region methodaffine scalinginterior backtracking technique

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Numerical optimization and variational techniques (65K10) Numerical methods based on nonlinear programming (49M37) Interior-point methods (90C51)

Related Items (1)

A derivative-free trust region algorithm with nonmonotone filter technique for bound constrained optimization

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