A modified Wei-Yao-Liu conjugate gradient method for unconstrained optimization

DOI10.1016/j.amc.2014.01.012zbMath1410.90245OpenAlexW2071000803MaRDI QIDQ1644524

Suihua Lin, Hai Huang

Publication date: 21 June 2018

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

Full work available at URL: https://doi.org/10.1016/j.amc.2014.01.012

zbMATH Keywords

unconstrained optimizationglobal convergenceconjugate gradient methodsufficient descent condition

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonconvex programming, global optimization (90C26) Methods of reduced gradient type (90C52)

Related Items

Modification of nonlinear conjugate gradient method with weak Wolfe-Powell line search ⋮ Hybrid random batch idea and nonlinear conjugate gradient method for accelerating charged polymer dynamics simulation

Uses Software

• minpack

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• New nonlinear conjugate gradient formulas for large-scale unconstrained optimization problems
• The convergence properties of some new conjugate gradient methods
• A descent nonlinear conjugate gradient method for large-scale unconstrained optimization
• Efficient generalized conjugate gradient algorithms. I: Theory
• A note about WYL's conjugate gradient method and its applications
• Modified nonlinear conjugate gradient methods with sufficient descent property for large-scale optimization problems
• A modified PRP conjugate gradient method
• An improved Wei-Yao-Liu nonlinear conjugate gradient method for optimization computation
• The proof of the sufficient descent condition of the Wei-Yao-Liu conjugate gradient method under the strong Wolfe-Powell line search
• A three-parameter family of nonlinear conjugate gradient methods
• Global convergence of the Polak-Ribière-Polyak conjugate gradient method with an Armijo-type inexact line search for nonconvex unconstrained optimization problems
• Testing Unconstrained Optimization Software
• Global Convergence Properties of Conjugate Gradient Methods for Optimization
• A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
• A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search
• Function minimization by conjugate gradients
• Convergence Conditions for Ascent Methods
• The conjugate gradient method in extremal problems
• Methods of conjugate gradients for solving linear systems