A new two-parameter family of nonlinear conjugate gradient methods
From MaRDI portal
Publication:5248216
DOI10.1080/02331934.2013.830118zbMath1311.65073OpenAlexW2079993208MaRDI QIDQ5248216
Yamina Laskri, Badreddine Sellami, Rachid Benzine
Publication date: 28 April 2015
Published in: Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331934.2013.830118
Numerical mathematical programming methods (65K05) Convex programming (90C25) Nonconvex programming, global optimization (90C26) Nonlinear programming (90C30) Combinatorial optimization (90C27)
Related Items
A new family of globally convergent conjugate gradient methods ⋮ Unnamed Item ⋮ A new family of hybrid three-term conjugate gradient methods with applications in image restoration ⋮ Globally convergence of nonlinear conjugate gradient method for unconstrained optimization ⋮ Two families of self-adjusting spectral hybrid DL conjugate gradient methods and applications in image denoising ⋮ Two families of hybrid conjugate gradient methods with restart procedures and their applications ⋮ New conjugate gradient method for unconstrained optimization ⋮ A three-term conjugate gradient algorithm with restart procedure to solve image restoration problems ⋮ A hybrid conjugate gradient algorithm for nonconvex functions and its applications in image restoration problems
Cites Work
- On the convergence property of the DFP algorithm
- Efficient generalized conjugate gradient algorithms. I: Theory
- Global convergence result for conjugate gradient methods
- Descent Property and Global Convergence of the Fletcher—Reeves Method with Inexact Line Search
- Testing Unconstrained Optimization Software
- Global Convergence Properties of Conjugate Gradient Methods for Optimization
- Conjugate Gradient Methods with Inexact Searches
- Convergence properties of the Fletcher-Reeves method
- A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
- Function minimization by conjugate gradients
- The Conjugate Gradient Method for Linear and Nonlinear Operator Equations
- Convergence Conditions for Ascent Methods
- The conjugate gradient method in extremal problems
- Methods of conjugate gradients for solving linear systems
