A model-hybrid approach for unconstrained optimization problems

DOI10.1007/s11075-013-9757-0zbMath1300.65043OpenAlexW2060779062MaRDI QIDQ403087

Fu-Sheng Wang, Chuan-Long Wang, Jin-Bao Jian

Publication date: 29 August 2014

Published in: Numerical Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11075-013-9757-0

zbMATH Keywords

algorithmunconstrained optimizationglobal convergencenonlinear programminghybrid approachlocal convergencequasi-Newton methodnumerical resulttrust region methodsapproximate model

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Methods of quasi-Newton type (90C53) Interior-point methods (90C51)

Related Items (3)

Continuous and discrete Zhang dynamics for real-time varying nonlinear optimization ⋮ New five-step DTZD algorithm for future nonlinear minimization with quartic steady-state error pattern ⋮ Design and analysis of two discrete-time ZD algorithms for time-varying nonlinear minimization

Uses Software

• minpack
• GQTPAR

Cites Work

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