A hybrid approach for finding approximate solutions to constrained nonlinear monotone operator equations with applications
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Computational Mathematics,Numerical Analysis
Reference50 articles.
1. A modified descent Dai-Yuan conjugate gradient method for constraint nonlinear monotone operator equations;Abubakar;Appl. Anal. Optim.,2020
2. A modified self-adaptive conjugate gradient method for solving convex constrained monotone nonlinear equations for signal recovery problems;Abubakar;Mathematics,2019
3. A note on the spectral gradient projection method for nonlinear monotone equations with applications;Abubakar;Comput. Appl. Math.,2020
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1. A Solution Method for Nonlinear Monotone Equations via Hybrid Spectral Conjugate Gradient and Signal Recovery Problems;Operations Research Forum;2024-06-06
2. A projection-based hybrid PRP-DY type conjugate gradient algorithm for constrained nonlinear equations with applications;Applied Numerical Mathematics;2024-01
3. A new hybrid CGPM-based algorithm for constrained nonlinear monotone equations with applications;Journal of Applied Mathematics and Computing;2023-12-13
4. Global convergence via modified self-adaptive approach for solving constrained monotone nonlinear equations with application to signal recovery problems;RAIRO - Operations Research;2023-09
5. New three-term conjugate gradient algorithm for solving monotone nonlinear equations and signal recovery problems;International Journal of Computer Mathematics;2023-08-01
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