Globally convergent inexact generalized Newton method for first-order differentiable optimization problems

DOI10.1023/A:1004605428858zbMath1028.90063OpenAlexW86273898MaRDI QIDQ5925746

Pu, Dingguo, Zhang, Jianzhong

Publication date: 19 February 2001

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

Full work available at URL: https://doi.org/10.1023/a:1004605428858

zbMATH Keywords

generalized Newton methodsglobal convergenceinexact Newton methodsnonsmooth optimizationsuperlinear rate

Mathematics Subject Classification ID

Nonlinear programming (90C30) Numerical computation of solutions to systems of equations (65H10) Methods of quasi-Newton type (90C53)

Related Items (3)

Superlinearly convergent affine scaling interior trust-region method for linear constrained \(LC^{1}\) minimization ⋮ An affine scaling interior trust-region method for \(LC^{1}\) minimization subject to bounds on variables ⋮ Convergence of an inexact generalized Newton method with a scaled residual control

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