On the strong convergence of a sufficient descent Polak-Ribière-Polyak conjugate gradient method

DOI10.1155/2014/283215zbMath1469.65108OpenAlexW2069981619WikidataQ59037648 ScholiaQ59037648MaRDI QIDQ1723758

Min Sun, Jing Liu

Publication date: 14 February 2019

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/283215

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Methods of quasi-Newton type (90C53)

Cites Work

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• On the strong convergence of a modified Hestenes-Stiefel method for nonconvex optimization
• Convergence of the Polak-Ribiére-Polyak conjugate gradient method
• Convergence of Liu-Storey conjugate gradient method
• A descent modified Polak–Ribière–Polyak conjugate gradient method and its global convergence
• A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
• Function minimization by conjugate gradients
• Some descent three-term conjugate gradient methods and their global convergence
• The conjugate gradient method in extremal problems
• Methods of conjugate gradients for solving linear systems
• Benchmarking optimization software with performance profiles.

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