Global convergence of a modified two-parameter scaled BFGS method with Yuan-Wei-Lu line search for unconstrained optimization

DOI10.1155/2020/9280495zbMath1459.90167OpenAlexW3080476710MaRDI QIDQ2007164

Zhan Wang, Dan Luo, Pengyuan Li, Hongtruong Pham

Publication date: 12 October 2020

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2020/9280495

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonconvex programming, global optimization (90C26) Nonlinear programming (90C30) Methods of quasi-Newton type (90C53)

Related Items (1)

Competitive secant (BFGS) methods based on modified secant relations for unconstrained optimization

Uses Software

• L-BFGS-B
• L-BFGS
• CUTEr
• LBFGS-B
• minpack
• CUTE

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