A modified Liu-Storey-conjugate descent hybrid projection method for convex constrained nonlinear equations and image restoration
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Publication:2167956
DOI10.3934/naco.2021022zbMath1493.65109OpenAlexW3169092445WikidataQ113053469 ScholiaQ113053469MaRDI QIDQ2167956
Auwal Bala Abubakar, Abdulkarim Hassan Ibrahim, Jitsupa Deepho, Kazeem Olalekan Aremu
Publication date: 1 September 2022
Published in: Numerical Algebra, Control and Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/naco.2021022
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Cites Work
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- A PRP type method for systems of monotone equations
- A spectral algorithm for large-scale systems of nonlinear monotone equations
- An improved three-term derivative-free method for solving nonlinear equations
- Superlinear convergence of a Newton-type algorithm for monotone equations
- A methodology for solving chemical equilibrium systems
- FR-type algorithm for finding approximate solutions to nonlinear monotone operator equations
- An efficient gradient-free projection algorithm for constrained nonlinear equations and image restoration
- A note on the spectral gradient projection method for nonlinear monotone equations with applications
- Iterative algorithms for solutions of Hammerstein equations in real Banach spaces
- PRP-like algorithm for monotone operator equations
- A global convergence of LS-CD hybrid conjugate gradient method
- A conjugate gradient method to solve convex constrained monotone equations with applications in compressive sensing
- Spectral gradient projection method for monotone nonlinear equations with convex constraints
- A descent Dai-Liao conjugate gradient method for nonlinear equations
- Spectral gradient projection method for solving nonlinear monotone equations
- A globally convergent BFGS method for nonlinear monotone equations without any merit functions
- Monotone networks
- An Efficient Implementation of Merrill’s Method for Sparse or Partially Separable Systems of Nonlinear Equations
- A New Projection Method for Variational Inequality Problems
- A class of conjugate gradient methods for convex constrained monotone equations
- Nonmonotone Spectral Methods for Large-Scale Nonlinear Systems
- A Globally and Superlinearly Convergent Gauss--Newton-Based BFGS Method for Symmetric Nonlinear Equations
- A Characterization of Superlinear Convergence and Its Application to Quasi-Newton Methods
- A descent derivative-free algorithm for nonlinear monotone equations with convex constraints
- Spectral residual method without gradient information for solving large-scale nonlinear systems of equations
- The conjugate gradient method in extremal problems
- Benchmarking optimization software with performance profiles.
