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On the strong convergence of a modified Hestenes-Stiefel method for nonconvex optimization

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Publication:380523
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DOI10.3934/jimo.2013.9.893zbMath1281.90062OpenAlexW2320830535MaRDI QIDQ380523

Youhua Zhou, Weijun Zhou

Publication date: 14 November 2013

Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/jimo.2013.9.893

zbMATH Keywords

line search\(R\)-linear convergenceMTTHS methodstrongly global convergence


Mathematics Subject Classification ID

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


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A scaled conjugate gradient method with moving asymptotes for unconstrained optimization problems, On the strong convergence of a sufficient descent Polak-Ribière-Polyak conjugate gradient method



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