Wei–Yao–Liu conjugate gradient projection algorithm for nonlinear monotone equations with convex constraints
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Publication:2804026
DOI10.1080/00207160.2014.977879zbMath1335.90067OpenAlexW1980406829MaRDI QIDQ2804026
Publication date: 27 April 2016
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207160.2014.977879
global convergenceprojection methodlarge-scalenonlinear monotone equationsWei-Yao-Liu conjugate gradient algorithm
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New hybrid conjugate gradient projection method for the convex constrained equations ⋮ A derivative-free multivariate spectral projection algorithm for constrained nonlinear monotone equations ⋮ An accelerated conjugate gradient algorithm for solving nonlinear monotone equations and image restoration problems ⋮ Unnamed Item ⋮ A diagonal PRP-type projection method for convex constrained nonlinear monotone equations ⋮ Scaled three-term derivative-free methods for solving large-scale nonlinear monotone equations ⋮ An efficient conjugate gradient-based algorithm for unconstrained optimization and its projection extension to large-scale constrained nonlinear equations with applications in signal recovery and image denoising problems
Cites Work
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- Some global convergence properties of the Wei-Yao-Liu conjugate gradient method with inexact line search
- The convergence properties of some new conjugate gradient methods
- A note about WYL's conjugate gradient method and its applications
- An improved Wei-Yao-Liu nonlinear conjugate gradient method for optimization computation
- Modified Newton methods for solving a semismooth reformulation of monotone complementarity problems
- Multivariate spectral gradient projection method for nonlinear monotone equations with convex constraints
- A modified Polak-Ribière-Polyak conjugate gradient algorithm for nonsmooth convex programs
- A conjugate gradient method to solve convex constrained monotone equations with applications in compressive sensing
- A derivative-free method for solving large-scale nonlinear systems of equations
- Spectral gradient projection method for monotone nonlinear equations with convex constraints
- The proof of the sufficient descent condition of the Wei-Yao-Liu conjugate gradient method under the strong Wolfe-Powell line search
- Further studies on the Wei-Yao-Liu nonlinear conjugate gradient method
- A projection method for a system of nonlinear monotone equations with convex constraints
- A Modified Hestenes-Stiefel Conjugate Gradient Algorithm for Large-Scale Optimization
- A class of derivative-free methods for large-scale nonlinear monotone equations
- The Barzilai and Borwein Gradient Method for the Large Scale Unconstrained Minimization Problem
- Comparing Algorithms for Solving Sparse Nonlinear Systems of Equations
- Global Convergence Properties of Conjugate Gradient Methods for Optimization
- Newton-type Methods with Generalized Distances For Constrained Optimization
- Chemical equilibrium systems as numerical test problems
- A NEW PROJECTION ALGORITHM FOR SOLVING A SYSTEM OF NONLINEAR EQUATIONS WITH CONVEX CONSTRAINTS
- Convergence properties of projection and contraction methods for variational inequality problems
- Benchmarking optimization software with performance profiles.
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