A note on the global convergence theorem of accelerated adaptive Perry conjugate gradient methods

DOI10.1016/j.cam.2017.10.024zbMath1381.90087OpenAlexW2766025103MaRDI QIDQ1677476

Yi-gui Ou

Publication date: 21 November 2017

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2017.10.024

zbMATH Keywords

convergence analysisunconstrained optimizationconjugate gradient algorithmaccelerated schemeself-scaling memoryless BFGS update

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Numerical methods based on nonlinear programming (49M37)

Related Items (2)

A class of accelerated conjugate-gradient-like methods based on a modified secant equation ⋮ Two--parameter scaled memoryless BFGS methods with a nonmonotone choice for the initial step length

Uses Software

• Algorithm 500
• SCALCG

Cites Work

• Unnamed Item
• Accelerated adaptive Perry conjugate gradient algorithms based on the self-scaling memoryless BFGS update
• Accelerated conjugate gradient algorithm with finite difference Hessian/vector product approximation for unconstrained optimization
• Scaled conjugate gradient algorithms for unconstrained optimization
• Optimization theory and methods. Nonlinear programming
• Algorithm 500: Minimization of Unconstrained Multivariate Functions [E4]
• A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search

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