A spectral conjugate gradient projection algorithm to solve the large-scale system of monotone nonlinear equations with application to compressed sensing
From MaRDI portal
Publication:5044135
DOI10.1080/00207160.2022.2047180OpenAlexW4214559405MaRDI QIDQ5044135
Parvaneh Faramarzi, Keyvan Amini, Somayeh Bahrami
Publication date: 24 October 2022
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207160.2022.2047180
projection algorithmspectral conjugate gradient methodcompressed sensinglarge-scale problemsnonlinear monotone equation systems
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Two derivative-free projection approaches for systems of large-scale nonlinear monotone equations
- Non-smooth equations based method for \(\ell_1\)-norm problems with applications to compressed sensing
- A new line search strategy for finding separating hyperplane in projection-based methods
- A globally convergent derivative-free method for solving large-scale nonlinear monotone equations
- A PRP type method for systems of monotone equations
- New accelerated conjugate gradient algorithms as a modification of Dai-Yuan's computational scheme for unconstrained optimization
- A spectral algorithm for large-scale systems of nonlinear monotone equations
- A new derivative-free SCG-type projection method for nonlinear monotone equations with convex constraints
- Superlinear convergence of a Newton-type algorithm for monotone equations
- A methodology for solving chemical equilibrium systems
- A projection method for convex constrained monotone nonlinear equations with applications
- A conjugate gradient algorithm for large-scale nonlinear equations and image restoration problems
- A spectral three-term Hestenes-Stiefel conjugate gradient method
- A modified conjugate gradient method for monotone nonlinear equations with convex constraints
- A family of Hager-Zhang conjugate gradient methods for system of monotone nonlinear equations
- A modified spectral PRP conjugate gradient projection method for solving large-scale monotone equations and its application in compressed sensing
- A modified spectral conjugate gradient method with global convergence
- A derivative-free iterative method for nonlinear monotone equations with convex constraints
- A descent Dai-Liao conjugate gradient method for nonlinear equations
- A projection method for a system of nonlinear monotone equations with convex constraints
- Spectral gradient projection method for solving nonlinear monotone equations
- Monotonicity of Fixed Point and Normal Mappings Associated with Variational Inequality and Its Application
- A class of derivative-free methods for large-scale nonlinear monotone equations
- Modified Hager–Zhang conjugate gradient methods via singular value analysis for solving monotone nonlinear equations with convex constraint
- Spectral DY-Type Projection Method for Nonlinear Monotone Systems of Equations
- Newton-type Methods with Generalized Distances For Constrained Optimization
- Inexact Newton methods for the nonlinear complementarity problem
- A globally convergent projection method for a system of nonlinear monotone equations
- A derivative‐free scaling memoryless Broyden–Fletcher–Goldfarb–Shanno method for solving a system of monotone nonlinear equations
- A modified Hager-Zhang conjugate gradient method with optimal choices for solving monotone nonlinear equations
- A new spectral conjugate gradient method for large-scale unconstrained optimization
- A spectral conjugate gradient method for unconstrained optimization
- Benchmarking optimization software with performance profiles.
This page was built for publication: A spectral conjugate gradient projection algorithm to solve the large-scale system of monotone nonlinear equations with application to compressed sensing
