A sufficient descent conjugate gradient method and its global convergence

DOI10.1080/10556788.2015.1124431zbMath1351.90130OpenAlexW2302465375MaRDI QIDQ2815547

Xian Bing Pan, Qiong Mou, Shengwei Yao, Yunlong Cheng

Publication date: 29 June 2016

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10556788.2015.1124431

zbMATH Keywords

unconstrained optimizationglobal convergenceconjugate gradient methodWolfe linesearch

Mathematics Subject Classification ID

Large-scale problems in mathematical programming (90C06) Nonconvex programming, global optimization (90C26) Complexity and performance of numerical algorithms (65Y20)

Related Items (4)

Efficient parameters estimation method for the separable nonlinear least squares problem ⋮ Two new Dai-Liao-type conjugate gradient methods for unconstrained optimization problems ⋮ A survey of gradient methods for solving nonlinear optimization ⋮ A novel value for the parameter in the Dai-Liao-type conjugate gradient method

Cites Work

• The convergence properties of some new conjugate gradient methods
• Efficient generalized conjugate gradient algorithms. I: Theory
• A note about WYL's conjugate gradient method and its applications
• The Dai-Liao nonlinear conjugate gradient method with optimal parameter choices
• Descent Property and Global Convergence of the Fletcher—Reeves Method with Inexact Line Search
• Two-Point Step Size Gradient Methods
• Testing Unconstrained Optimization Software
• Global Convergence Properties of Conjugate Gradient Methods for Optimization
• Restart procedures for the conjugate gradient method
• CUTE
• 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
• Convergence Conditions for Ascent Methods
• A descent family of Dai–Liao conjugate gradient methods
• Methods of conjugate gradients for solving linear systems
• New conjugacy conditions and related nonlinear conjugate gradient methods
• Benchmarking optimization software with performance profiles.

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