Two efficient modifications of AZPRP conjugate gradient method with sufficient descent property

DOI10.1186/s13660-021-02746-0zbMath1506.49021OpenAlexW4206522551MaRDI QIDQ2129100

Ahmad Alhawarat, Zabidin Salleh, Adel A. S. Almarashi

Publication date: 22 April 2022

Published in: Journal of Inequalities and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s13660-021-02746-0

zbMATH Keywords

global convergenceconjugate gradient methodPolak-Ribiere-Polyak methodstrong Wolfe-Powell line search

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Numerical methods based on nonlinear programming (49M37) Methods of reduced gradient type (90C52)

Uses Software

• CUTEr
• CUTE

Cites Work

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• Another improved Wei-Yao-Liu nonlinear conjugate gradient method with sufficient descent property
• The convergence properties of some new conjugate gradient methods
• Efficient generalized conjugate gradient algorithms. I: Theory
• A globally convergent hybrid conjugate gradient method with strong Wolfe conditions for unconstrained optimization
• A globally convergent modified multivariate version of the method of moving asymptotes
• Descent Property and Global Convergence of the Fletcher—Reeves Method with Inexact Line Search
• Global Convergence Properties of Conjugate Gradient Methods for Optimization
• CUTE
• An efficient modified Polak–Ribière–Polyak conjugate gradient method with global convergence properties
• A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
• A globally convergent modified version of the method of moving asymptotes
• A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search
• Function minimization by conjugate gradients
• The Limited Memory Conjugate Gradient Method
• Convergence Conditions for Ascent Methods
• Convergence Conditions for Ascent Methods. II: Some Corrections
• 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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