Some global convergence properties of the Wei-Yao-Liu conjugate gradient method with inexact line search

DOI10.1016/j.amc.2011.01.097zbMath1217.65108OpenAlexW1988384211MaRDI QIDQ531627

Sha Lu, Liliu Mo, Zeng-xin Wei

Publication date: 19 April 2011

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

Full work available at URL: https://doi.org/10.1016/j.amc.2011.01.097

zbMATH Keywords

global convergenceconjugate gradient methodinexact line searchsufficient descent condition

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05)

Related Items (4)

A class of one parameter conjugate gradient methods ⋮ Nonstationary fuzzy neural network based on fcmnet clustering and a modified CG method with Armijo-type rule ⋮ Unnamed Item ⋮ Wei–Yao–Liu conjugate gradient projection algorithm for nonlinear monotone equations with convex constraints

Cites Work

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• A new family of conjugate gradient methods
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• Descent Property and Global Convergence of the Fletcher—Reeves Method with Inexact Line Search
• Global Convergence Properties of Conjugate Gradient Methods for Optimization
• Convergence properties of the Fletcher-Reeves method
• A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search
• New properties of a nonlinear conjugate gradient method

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