A family of the local convergence of the improved secant methods for nonlinear equality constrained optimization subject to bounds on variables

DOI10.1007/S11424-013-0169-YzbMath1306.49051OpenAlexW1976325177MaRDI QIDQ488922

Yong Zhang, De-Tong Zhu

Publication date: 27 January 2015

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-013-0169-y

zbMATH Keywords

optimizationlocal convergenceaffine scalingsecant methods

Mathematics Subject Classification ID

Nonlinear programming (90C30) Numerical methods based on nonlinear programming (49M37)

Uses Software

• ve08

Cites Work

• Unnamed Item
• On affine-scaling interior-point Newton methods for nonlinear minimization with bound constraints
• Test examples for nonlinear programming codes
• Diagonalized multiplier methods and quasi-Newton methods for constrained optimization
• Local convergence of the affine-scaling interior-point algorithm for nonlinear programming
• Local convergence analysis for partitioned quasi-Newton updates
• Local Convergence of Secant Methods for Nonlinear Constrained Optimization
• A Convergence Theory for a Class of Quasi-Newton Methods for Constrained Optimization
• Superlinearly convergent variable metric algorithms for general nonlinear programming problems
• On the Local and Superlinear Convergence of Quasi-Newton Methods

This page was built for publication: A family of the local convergence of the improved secant methods for nonlinear equality constrained optimization subject to bounds on variables