An efficient hybrid conjugate gradient method with the strong Wolfe-Powell line search

DOI10.1155/2015/103517zbMath1394.90556OpenAlexW1517367249WikidataQ59118404 ScholiaQ59118404MaRDI QIDQ1664598

Ahmad Alhawarat, Mohd Rivaie, Mustafa Mamat, Zabidin Salleh

Publication date: 27 August 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/103517

Mathematics Subject Classification ID

Methods of quasi-Newton type (90C53) Methods of reduced gradient type (90C52)

Related Items

An efficient modification of the Hestenes-Stiefel nonlinear conjugate gradient method with restart property ⋮ Modification of nonlinear conjugate gradient method with weak Wolfe-Powell line search ⋮ A new modified three-term conjugate gradient method with sufficient descent property and its global convergence ⋮ A new modified three-term Hestenes-Stiefel conjugate gradient method with sufficient descent property and its global convergence ⋮ An efficient modified PRP-FR hybrid conjugate gradient method for solving unconstrained optimization problems ⋮ An Efficient Hybrid Conjugate Gradient Method for Unconstrained Optimisation

Uses Software

• MVF

Cites Work

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• A new class of nonlinear conjugate gradient coefficients with global convergence properties
• Another improved Wei-Yao-Liu nonlinear conjugate gradient method with sufficient descent property
• The convergence properties of some new conjugate gradient methods
• A note about WYL's conjugate gradient method and its applications
• An improved Wei-Yao-Liu nonlinear conjugate gradient method for optimization computation
• Efficient hybrid conjugate gradient techniques
• Global convergence of the Fletcher-Reeves algorithm with inexact linesearch
• Descent Property and Global Convergence of the Fletcher—Reeves Method with Inexact Line Search
• Global Convergence Properties of Conjugate Gradient Methods for Optimization
• Function minimization by conjugate gradients
• Convergence Conditions for Ascent Methods
• Convergence Conditions for Ascent Methods. II: Some Corrections
• Methods of conjugate gradients for solving linear systems
• Benchmarking optimization software with performance profiles.