Kabiru Ahmed
Orcid: 0000-0003-4868-976X
According to our database1,
Kabiru Ahmed
authored at least 13 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Another Hager-Zhang-type method via singular-value study for constrained monotone equations with application.
Numer. Algorithms, August, 2024
An improved spectral conjugate gradient projection method for monotone nonlinear equations with application.
J. Appl. Math. Comput., August, 2024
On a Scaled Symmetric Dai-Liao-Type Scheme for Constrained System of Nonlinear Equations with Applications.
J. Optim. Theory Appl., February, 2024
RAIRO Oper. Res., January, 2024
2023
On two symmetric Dai-Kou type schemes for constrained monotone equations with image recovery application.
EURO J. Comput. Optim., January, 2023
2022
A modified Dai-Kou-type method with applications to signal reconstruction and blurred image restoration.
Comput. Appl. Math., September, 2022
Two new Hager-Zhang iterative schemes with improved parameter choices for monotone nonlinear systems and their applications in compressed sensing.
RAIRO Oper. Res., 2022
Two Descent Dai-Yuan Conjugate Gradient Methods for Systems of Monotone Nonlinear Equations.
J. Sci. Comput., 2022
A modified PRP-type conjugate gradient projection algorithm for solving large-scale monotone nonlinear equations with convex constraint.
J. Comput. Appl. Math., 2022
2021
Signal recovery with convex constrained nonlinear monotone equations through conjugate gradient hybrid approach.
Math. Comput. Simul., 2021
On solving double direction methods for convex constrained monotone nonlinear equations with image restoration.
Comput. Appl. Math., 2021
2020
Descent Perry conjugate gradient methods for systems of monotone nonlinear equations.
Numer. Algorithms, 2020
2019
A family of Hager-Zhang conjugate gradient methods for system of monotone nonlinear equations.
Appl. Math. Comput., 2019