scientific article; zbMATH DE number 7572911
From MaRDI portal
Publication:5096719
Hongtruong Pham, Yulun Wu, Gong Lin Yuan
Publication date: 18 August 2022
Full work available at URL: http://121.43.60.238/sxwlxbA/EN/abstract/abstract16659.shtml
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
unconstrained optimizationglobal convergencenonmonotone line searchconjugate gradientimage restoration
Large-scale problems in mathematical programming (90C06) Nonconvex programming, global optimization (90C26) Methods of reduced gradient type (90C52)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A short note on the global convergence of the unmodified PRP method
- Convergence analysis of a modified BFGS method on convex minimizations
- The convergence properties of some new conjugate gradient methods
- Efficient generalized conjugate gradient algorithms. I: Theory
- Globally convergent Polak-Ribière-Polyak conjugate gradient methods under a modified Wolfe line search
- A truncated Newton method with non-monotone line search for unconstrained optimization
- A globally convergent version of the Polak-Ribière conjugate gradient method
- A PRP-based residual method for large-scale monotone nonlinear equations
- A structured quasi-Newton algorithm with nonmonotone search strategy for structured NLS problems and its application in robotic motion control
- Family weak conjugate gradient algorithms and their convergence analysis for nonconvex functions
- The PRP conjugate gradient algorithm with a modified WWP line search and its application in the image restoration problems
- The global convergence of the Polak-Ribière-Polyak conjugate gradient algorithm under inexact line search for nonconvex functions
- A derivative-free iterative method for nonlinear monotone equations with convex constraints
- Global convergence of a modified Fletcher-Reeves conjugate gradient method with Armijo-type line search
- An inexact line search approach using modified nonmonotone strategy for unconstrained optimization
- A Modified PRP Conjugate Gradient Algorithm with Trust Region for Optimization Problems
- Convergence Properties of Algorithms for Nonlinear Optimization
- Global convergence of the Polak-Ribière-Polyak conjugate gradient method with an Armijo-type inexact line search for nonconvex unconstrained optimization problems
- A descent modified Polak–Ribière–Polyak conjugate gradient method and its global convergence
- Global Convergence Properties of Conjugate Gradient Methods for Optimization
- 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
- A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
- On the Barzilai–Borwein gradient methods with structured secant equation for nonlinear least squares problems
- A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search
- Function minimization by conjugate gradients
- Global convergence of the DY conjugate gradient method with Armijo line search for unconstrained optimization problems
- The conjugate gradient method in extremal problems
- Methods of conjugate gradients for solving linear systems
- A new nonmonotone line search technique for unconstrained optimization
- New properties of a nonlinear conjugate gradient method
- Benchmarking optimization software with performance profiles.
- An efficient hybrid conjugate gradient method for unconstrained optimization
- On the nonmonotone line search
This page was built for publication: