A nonmonotone scaled Fletcher-Reeves conjugate gradient method with application in image reconstruction
DOI10.1007/s40840-022-01303-2zbMath1505.90080OpenAlexW4281264640MaRDI QIDQ2091131
Nasrin Mirhoseini, Saman Babaie-Kafaki, Zohre Aminifard
Publication date: 31 October 2022
Published in: Bulletin of the Malaysian Mathematical Sciences Society. Second Series (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s40840-022-01303-2
unconstrained optimizationconjugate gradient methodimage reconstructionnonmonotone line searchsufficient descent condition
Large-scale problems in mathematical programming (90C06) Numerical methods based on nonlinear programming (49M37) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A modified Hestenes and Stiefel conjugate gradient algorithm for large-scale nonsmooth minimizations and nonlinear equations
- A new generalized shrinkage conjugate gradient method for sparse recovery
- A descent spectral conjugate gradient method for impulse noise removal
- Improved Fletcher-Reeves and Dai-Yuan conjugate gradient methods with the strong Wolfe line search
- A conjugate gradient algorithm for large-scale nonlinear equations and image restoration problems
- A class of modified FR conjugate gradient method and applications to non-negative matrix factorization
- A hybridization of the Polak-Ribière-Polyak and Fletcher-Reeves conjugate gradient methods
- A conjugate gradient algorithm and its application in large-scale optimization problems and image restoration
- A spectral conjugate gradient method for solving large-scale unconstrained optimization
- A conjugate gradient algorithm and its applications in image restoration
- An optimal parameter choice for the Dai-Liao family of conjugate gradient methods by avoiding a direction of the maximum magnification by the search direction matrix
- Global convergence of a modified Fletcher-Reeves conjugate gradient method with Armijo-type line search
- Optimization theory and methods. Nonlinear programming
- A descent modified Polak–Ribière–Polyak conjugate gradient method and its global convergence
- Algorithm 851
- Two-Point Step Size Gradient Methods
- Global Convergence Properties of Conjugate Gradient Methods for Optimization
- Convergence Properties of Nonlinear Conjugate Gradient Methods
- A novel projected Fletcher‐Reeves conjugate gradient approach for finite‐time optimal robust controller of linear constraints optimization problem: Application to bipedal walking robots
- A Nonmonotone Line Search Technique and Its Application to Unconstrained Optimization
- A Nonmonotone Line Search Technique for Newton’s Method
- An Assessment of Nonmonotone Linesearch Techniques for Unconstrained Optimization
- Function minimization by conjugate gradients
- CUTEr and SifDec
- The conjugate gradient method in extremal problems
- Benchmarking optimization software with performance profiles.
- On the nonmonotone line search
This page was built for publication: A nonmonotone scaled Fletcher-Reeves conjugate gradient method with application in image reconstruction