A globally convergent projection method for a system of nonlinear monotone equations
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Publication:5031288
DOI10.1080/00207160.2020.1777406zbMath1480.65147OpenAlexW3033054437MaRDI QIDQ5031288
P. Kaelo, Mompati S. Koorapetse
Publication date: 18 February 2022
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207160.2020.1777406
Numerical mathematical programming methods (65K05) Large-scale problems in mathematical programming (90C06) Derivative-free methods and methods using generalized derivatives (90C56)
Related Items (3)
A spectral conjugate gradient projection algorithm to solve the large-scale system of monotone nonlinear equations with application to compressed sensing ⋮ A derivative-free three-term Hestenes–Stiefel type method for constrained nonlinear equations and image restoration ⋮ A globally convergent derivative-free projection method for nonlinear monotone equations with applications
Cites Work
- Unnamed Item
- Unnamed Item
- A modified Hestenes and Stiefel conjugate gradient algorithm for large-scale nonsmooth minimizations and nonlinear equations
- A three-term derivative-free projection method for nonlinear monotone system of equations
- New spectral PRP conjugate gradient method for unconstrained optimization
- Levenberg--Marquardt methods with strong local convergence properties for solving nonlinear equations with convex constraints
- Globally convergent three-term conjugate gradient projection methods for solving nonlinear monotone equations
- A positive spectral gradient-like method for large-scale nonlinear monotone equations
- An efficient three-term conjugate gradient method for nonlinear monotone equations with convex constraints
- A new family of conjugate gradient methods for unconstrained optimization
- Spectral gradient projection method for monotone nonlinear equations with convex constraints
- A modified spectral PRP conjugate gradient projection method for solving large-scale monotone equations and its application in compressed sensing
- Modified three-term conjugate gradient method and its applications
- Optimal weighted upwind finite volume method for convection-diffusion equations in 2D
- A derivative-free iterative method for nonlinear monotone equations with convex constraints
- A three-terms Polak-Ribière-Polyak conjugate gradient algorithm for large-scale nonlinear equations
- Three derivative-free projection methods for nonlinear equations with convex constraints
- A descent Dai-Liao conjugate gradient method for nonlinear equations
- A scaled derivative-free projection method for solving nonlinear monotone equations
- Spectral gradient projection method for solving nonlinear monotone equations
- Monotonicity of Fixed Point and Normal Mappings Associated with Variational Inequality and Its Application
- On Broyden-like update via some quadratures for solving nonlinear systems of equations
- A New Newton's Method with Diagonal Jacobian Approximation for Systems of Nonlinear Equations
- A new trust-region method with line search for solving symmetric nonlinear equations
- Newton-type Methods with Generalized Distances For Constrained Optimization
- Nonmonotone Spectral Methods for Large-Scale Nonlinear Systems
- A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
- The Hager–Zhang conjugate gradient algorithm for large-scale nonlinear equations
- A gradient projection method for the sparse signal reconstruction in compressive sensing
- Spectral residual method without gradient information for solving large-scale nonlinear systems of equations
- Benchmarking optimization software with performance profiles.
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