An efficient modified conjugate gradient algorithm under Wolfe conditions with applications in compressive sensing
DOI10.1016/J.CAM.2024.116335MaRDI QIDQ6664837
Jiaqi Huang, Ying Liu, Zhibin Zhu, Yuehong Ding
Publication date: 16 January 2025
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
unconstrained optimizationglobal convergenceconjugate gradient algorithmWolfe line searchcompressive sensingsufficient descent property
Mathematical programming (90Cxx) Numerical methods for mathematical programming, optimization and variational techniques (65Kxx) Operations research, mathematical programming (90-XX)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Another improved Wei-Yao-Liu nonlinear conjugate gradient method with sufficient descent property
- A new conjugate gradient hard thresholding pursuit algorithm for sparse signal recovery
- 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
- An improved Wei-Yao-Liu nonlinear conjugate gradient method for optimization computation
- Unified smoothing functions for absolute value equation associated with second-order cone
- Two sufficient descent three-term conjugate gradient methods for unconstrained optimization problems with applications in compressive sensing
- Two modified nonlinear conjugate gradient methods with disturbance factors for unconstrained optimization
- Smoothing strategy along with conjugate gradient algorithm for signal reconstruction
- A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
- A new conjugate gradient method based on a modified secant condition with its applications in image processing
- 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
- Benchmarking optimization software with performance profiles.
This page was built for publication: An efficient modified conjugate gradient algorithm under Wolfe conditions with applications in compressive sensing
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6664837)