A globally convergent hybrid conjugate gradient method and its numerical behaviors

DOI10.1155/2013/147025zbMath1266.90172OpenAlexW1973606178WikidataQ59001825 ScholiaQ59001825MaRDI QIDQ2375413

Xue-Wu Du, San-Yang Liu, Xiao Liang Dong, Yuan-Yuan Huang

Publication date: 14 June 2013

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

Full work available at URL: https://doi.org/10.1155/2013/147025

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30)

Uses Software

• CUTEr
• SifDec
• CG_DESCENT
• CUTE

Cites Work

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• Nonsmooth optimization via quasi-Newton methods
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• Numerical experience with Newton-like methods for nonlinear algebraic systems
• Algorithm 851
• CUTE
• A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
• A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search
• A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search
• Function minimization by conjugate gradients
• CUTEr and SifDec
• The conjugate gradient method in extremal problems
• Methods of conjugate gradients for solving linear systems
• Benchmarking optimization software with performance profiles.
• An efficient hybrid conjugate gradient method for unconstrained optimization

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