A derivative-free \textit{RMIL} conjugate gradient projection method for convex constrained nonlinear monotone equations with applications in compressive sensing
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Publication:2029136
DOI10.1016/j.apnum.2021.03.005zbMath1472.65058OpenAlexW3139090534MaRDI QIDQ2029136
P. Kaelo, T. Diphofu, S. Lekoko, Mompati S. Koorapetse
Publication date: 3 June 2021
Published in: Applied Numerical Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apnum.2021.03.005
Numerical computation of solutions to systems of equations (65H10) Monotone operators and generalizations (47H05)
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An inertial spectral CG projection method based on the memoryless BFGS update ⋮ A projection-based hybrid PRP-DY type conjugate gradient algorithm for constrained nonlinear equations with applications ⋮ A unified convergence analysis of the derivative-free projection-based method for constrained nonlinear monotone equations ⋮ On a scaled symmetric Dai-Liao-type scheme for constrained system of nonlinear equations with applications ⋮ A modified inertial three-term conjugate gradient projection method for constrained nonlinear equations with applications in compressed sensing ⋮ A globally convergent derivative-free projection method for nonlinear monotone equations with applications ⋮ 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
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