A conic trust-region method for optimization with nonlinear equality and inequality constrains via active-set strategy

DOI10.1016/j.amc.2006.05.057zbMath1112.65052OpenAlexW2007895112MaRDI QIDQ864760

Ying Ji, Yan-Jun Wang, Shao-Jian Qu, Hui-Min Li

Publication date: 13 February 2007

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

Full work available at URL: https://doi.org/10.1016/j.amc.2006.05.057

zbMATH Keywords

algorithmglobal convergencenumerical examplesmixed constrained nonlinear programming

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Interior-point methods (90C51)

Related Items (6)

A new nonmonotone trust-region method of conic model for solving unconstrained optimization ⋮ Combining nonmonotone conic trust region and line search techniques for unconstrained optimization ⋮ A nonmonotone trust-region method of conic model for unconstrained optimization ⋮ A new hybrid method for nonlinear complementarity problems ⋮ A nonmonotone conic trust region method based on line search for solving unconstrained optimization ⋮ A smoothing conic trust region filter method for the nonlinear complementarity problem

Uses Software

• COBYLA2
• GQTPAR

Cites Work

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• A conic trust-region method for nonlinearly constrained optimization

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