An efficient hybrid conjugate gradient method with sufficient descent property for unconstrained optimization
From MaRDI portal
Publication:5058391
DOI10.1080/10556788.2021.1977808OpenAlexW3206483331MaRDI QIDQ5058391
No author found.
Publication date: 20 December 2022
Published in: Optimization Methods and Software (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10556788.2021.1977808
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Two effective hybrid conjugate gradient algorithms based on modified BFGS updates
- Efficient generalized conjugate gradient algorithms. I: Theory
- Accelerated hybrid conjugate gradient algorithm with modified secant condition for unconstrained optimization
- Hybrid conjugate gradient algorithm for unconstrained optimization
- Efficient hybrid conjugate gradient techniques
- A descent hybrid conjugate gradient method based on the memoryless BFGS update
- A family of three-term nonlinear conjugate gradient methods close to the memoryless BFGS method
- Improved Fletcher-Reeves and Dai-Yuan conjugate gradient methods with the strong Wolfe line search
- A quadratic hybridization of Polak-Ribière-Polyak and Fletcher-Reeves conjugate gradient methods
- A hybridization of the Polak-Ribière-Polyak and Fletcher-Reeves conjugate gradient methods
- Nonlinear conjugate gradient methods for unconstrained optimization
- A modified self-scaling memoryless Broyden-Fletcher-Goldfarb-Shanno method for unconstrained optimization
- CUTEst: a constrained and unconstrained testing environment with safe threads for mathematical optimization
- A modified descent Polak-Ribiére-Polyak conjugate gradient method with global convergence property for nonconvex functions
- Another hybrid conjugate gradient algorithm for unconstrained optimization
- A Three-Term Conjugate Gradient Method with Sufficient Descent Property for Unconstrained 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
- The conjugate gradient method in extremal problems
- Methods of conjugate gradients for solving linear systems
- A spectral conjugate gradient method for unconstrained optimization
- Benchmarking optimization software with performance profiles.
This page was built for publication: An efficient hybrid conjugate gradient method with sufficient descent property for unconstrained optimization
