Computing Points that Satisfy Second Order Necessary Optimality Conditions for Unconstrained Minimization

DOI10.1137/070710810zbMath1229.90190OpenAlexW2027586974MaRDI QIDQ3058511

Alfred Auslender

Publication date: 3 December 2010

Published in: SIAM Journal on Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/070710810

zbMATH Keywords

second order necessary optimality conditionsnonconvex unconstrained optimizationNewton-type methods, asymptotic quadratic rate of convergence

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonconvex programming, global optimization (90C26) Nonlinear programming (90C30)

Related Items (2)

Finding second-order stationary points in constrained minimization: a feasible direction approach ⋮ The regularized feasible directions method for nonconvex optimization

Uses Software

• GQTPAR

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