Comments on “A hybrid conjugate gradient method based on a quadratic relaxation of the Dai-Yuan hybrid conjugate gradient parameter”

DOI10.1080/02331934.2013.840783zbMath1310.65071OpenAlexW2056202948MaRDI QIDQ5248230

Feng-Hua Wen, Xiao Hong Chen, Zhi-feng Dai

Publication date: 28 April 2015

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2013.840783

zbMATH Keywords

unconstrained optimizationglobal convergenceconjugate gradient method

Mathematics Subject Classification ID

Nonlinear programming (90C30) Numerical optimization and variational techniques (65K10)

Related Items (1)

A new accelerated conjugate gradient method for large-scale unconstrained optimization

Cites Work

• Accelerated hybrid conjugate gradient algorithm with modified secant condition for unconstrained optimization
• A quadratic hybridization of Polak-Ribière-Polyak and Fletcher-Reeves conjugate gradient methods
• A note on the global convergence of the quadratic hybridization of Polak-Ribière-Polyak and Fletcher-Reeves conjugate gradient methods
• Another hybrid conjugate gradient algorithm for unconstrained optimization
• Optimization theory and methods. Nonlinear programming
• A hybrid conjugate gradient method based on a quadratic relaxation of the Dai–Yuan hybrid conjugate gradient parameter
• Addendum to: A hybrid conjugate gradient method based on a quadratic relaxation of Dai–Yuan hybrid conjugate gradient parameter
• An efficient hybrid conjugate gradient method for unconstrained optimization

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