A hybrid conjugate gradient algorithm for nonconvex functions and its applications in image restoration problems
From MaRDI portal
Publication:6151003
DOI10.1007/s40305-022-00424-6OpenAlexW4280540398WikidataQ113105490 ScholiaQ113105490MaRDI QIDQ6151003
Gong Lin Yuan, Mengxiang Zhang, Yingjie Zhou
Publication date: 9 February 2024
Published in: Journal of the Operations Research Society of China (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s40305-022-00424-6
Large-scale problems in mathematical programming (90C06) Nonconvex programming, global optimization (90C26)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A modified Hestenes and Stiefel conjugate gradient algorithm for large-scale nonsmooth minimizations and nonlinear equations
- Global convergence of a modified Hestenes-Stiefel nonlinear conjugate gradient method with Armijo line search
- An adaptive scaled BFGS method for unconstrained optimization
- New nonlinear conjugate gradient formulas for large-scale unconstrained optimization problems
- Proximity control in bundle methods for convex nondifferentiable minimization
- Efficient generalized conjugate gradient algorithms. I: Theory
- Global convergence of a modified spectral FR conjugate gradient method
- A new Liu-Storey type nonlinear conjugate gradient method for unconstrained optimization problems
- Hybrid conjugate gradient algorithm for unconstrained optimization
- Efficient hybrid conjugate gradient techniques
- A globally convergent version of the Polak-Ribière conjugate gradient method
- A class of parameter estimation methods for nonlinear Muskingum model using hybrid invasive weed optimization algorithm
- The superlinear convergence of a modified BFGS-type method for unconstrained optimization
- Gradient trust region algorithm with limited memory BFGS update for nonsmooth convex minimization
- A conjugate gradient algorithm for large-scale nonlinear equations and image restoration problems
- The modified PRP conjugate gradient algorithm under a non-descent line search and its application in the Muskingum model and image restoration problems
- Some modified Hestenes-Stiefel conjugate gradient algorithms with application in image restoration
- A modified Polak-Ribière-Polyak conjugate gradient algorithm for nonsmooth convex programs
- Global convergence of BFGS and PRP methods under a modified weak Wolfe-Powell line search
- The PRP conjugate gradient algorithm with a modified WWP line search and its application in the image restoration problems
- A hybrid conjugate gradient method with descent property for unconstrained optimization
- A three-terms Polak-Ribière-Polyak conjugate gradient algorithm for large-scale nonlinear equations
- Some sufficient descent conjugate gradient methods and their global convergence
- A descent modified Polak–Ribière–Polyak conjugate gradient method and its global convergence
- Monotone Operators and the Proximal Point Algorithm
- Convergence Analysis of Some Algorithms for Solving Nonsmooth Equations
- A Globally and Superlinearly Convergent Algorithm for Nonsmooth Convex Minimization
- A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
- A new two-parameter family of nonlinear conjugate gradient methods
- Function minimization by conjugate gradients
- Methods of conjugate gradients for solving linear systems
- A modified BFGS method and its global convergence in nonconvex minimization
- A spectral conjugate gradient method for unconstrained optimization
- Benchmarking optimization software with performance profiles.
