Nasiru Salihu

According to our database, Nasiru Salihu authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

On New Spectral Conjugate Gradient Methods for Riemannian Optimization Using Retraction and Scaled Vector Transport.

Nasiru Salihu, Poom Kumam, Sani Salisu, Kanokwan Sitthithakerngkiet

Oper. Res. Forum, March, 2026

An efficient matrix free optimization algorithm combining a revised PRP and FR-CG type methods with application to robotics.

Nasiru Salihu, Poom Kumam, Aliyu Muhammed Awwal, Remilekun Mathew Odekunle, Thidaporn Seangwattana

J. Comput. Appl. Math., 2026

2025

Some combined techniques of spectral conjugate gradient methods with applications to robotic and image restoration models.

Nasiru Salihu, Poom Kumam, Ibrahim Mohammed Sulaiman, Wiyada Kumam

Numer. Algorithms, September, 2025

A Riemannian Conjugate Gradient Framework Based on Dai-Liao Principles for Matrix Approximation.

Nasiru Salihu, Poom Kumam, Kanokwan Sitthithakerngkiet, Thidaporn Seangwattana

IEEE Access, 2025

2024

Two efficient nonlinear conjugate gradient methods for Riemannian manifolds.

Nasiru Salihu, Poom Kumam, Sani Salisu

Comput. Appl. Math., October, 2024

An efficient Newton-like conjugate gradient method with restart strategy and its application.

Nasiru Salihu, Poom Kumam, Ibrahim Mohammed Sulaiman, Ibrahim Arzuka, Wiyada Kumam

Math. Comput. Simul., 2024

2023

A Structured Fletcher-Revees Spectral Conjugate Gradient Method for Unconstrained Optimization with Application in Robotic Model.

Nasiru Salihu, Poom Kumam, Aliyu Muhammed Awwal, Ibrahim Arzuka, Thidaporn Seangwattana

Oper. Res. Forum, December, 2023