Descent three-term DY-type conjugate gradient methods for constrained monotone equations with application
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s40314-021-01724-y.pdf
Reference55 articles.
1. Abdullahi H, Halilu AS, Waziri MY (2018) A modified conjugate gradient method via a double direction approach for solving large-scale symmetric nonlinear systems. J Numer Math Stoch 10(1):32–44
2. Abubakar AB, Kumam P (2018) A descent Dai–Liao conjugate gradient method for nonlinear equations. Numer Algorithm
3. Abubakar AB, Kumam P, Auwal AM (2018) A descent Dai–Liao projection method for convex constrained nonlinear monotone equations with applications. Thai J Math 17:128–152
4. Abubakar AB, Kumam P, Auwal AM (2019a) A modified conjugate gradient method for monotone nonlinear equations with convex constraints. Results Appl Math 4:100069
5. Abubakar AB, Kumam P, Auwal AM (2019b) Global convergence via descent modified three-term conjugate gradient algorithm with applications to signal recovery. Results Appl Math 4:100069
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