38 papers · 2015–2026

Publications

A live, complete list (with citation counts) is on Google Scholar. ORCID: 0000-0003-1145-1651 · Scopus · Web of Science

  1. [38]

    A. B. Abubakar, H. Mohammad, K. Yunho.

    A restart derivative-free algorithm for solving pseudomonotone equations.

    Applied Numerical Mathematics, vol. 224, pp. 224–240, 2026.

  2. [37]

    H. Mohammad, S. M. Ibrahim, H. Choi, R. B. Yunus.

    A diagonal Hestenes–Stiefel conjugate gradient algorithm with iterative complexity analysis and its application in robotic model.

    Operations Research Perspectives, p. 100375, 2025.

  3. [36]

    A. Yusuf, N. H. Manjak, H. Mohammad, A. H. Kiri, A. B. Abubakar.

    A solution method for nonlinear monotone equations via hybrid spectral conjugate gradient and signal recovery problems.

    Operations Research Forum, 2024.

    doi.org/10.1007/s43069-024-00326-8

  4. [35]

    A. B. Abubakar, P. Kumam, H. Mohammad, A. H. Ibrahim, T. Seangwattana, B. A. Hassan.

    A hybrid BFGS-like method for monotone operator equations with applications.

    Journal of Computational and Applied Mathematics, vol. 466, p. 115857, 2024.

  5. [34]

    H. Mohammad.

    Solving nonlinear equations with the convex combination of two positive spectral coefficients.

    Operations Research Letters, vol. 51, no. 5, pp. 515–520, 2023.

  6. [33]

    A. B. Abubakar, P. Kumam, J. Liu, H. Mohammad, C. Tammer.

    New three-term conjugate gradient algorithm for solving monotone nonlinear equations and signal recovery problems.

    International Journal of Computer Mathematics, vol. 100, no. 10, pp. 1992–2013, 2023.

  7. [32]

    H. Mohammad, I. M. Sulaiman, M. Mamat.

    Two diagonal conjugate gradient like methods for unconstrained optimization.

    Journal of Industrial and Management Optimization, doi:10.3934/jimo.2023073, 2023.

  8. [31]

    H. Mohammad, K. U. Danmalam.

    Structured spectral algorithm with a nonmonotone line search for nonlinear least squares.

    Applied Numerical Mathematics, vol. 184, pp. 285–300, 2023.

  9. [30]

    A. H. Ibrahim, P. Kumam, A. B. Abubakar, M. S. Abdullahi, H. Mohammad.

    A Dai–Liao-type projection method for monotone nonlinear equations and signal processing.

    Demonstratio Mathematica, vol. 55, no. 1, pp. 978–1013, 2022.

  10. [29]

    A. M. Awwal, P. Kumam, L. Wang, M. M. Yahaya, H. Mohammad.

    On the Barzilai–Borwein gradient methods with structured secant equation for nonlinear least squares problems.

    Optimization Methods and Software, vol. 37, no. 4, pp. 1269–1288, 2022.

  11. [28]

    H. Mohammad, A. M. Awwal.

    Globally convergent diagonal Polak–Ribière–Polyak like algorithm for nonlinear equations.

    Numerical Algorithms, vol. 91, pp. 1441–1460, 2022.

    doi.org/10.1007/s11075-022-01309-8

  12. [27]

    A. B. Abubakar, P. Kumam, H. Mohammad, A. H. Ibrahim, A. I. Kiri.

    A hybrid approach for finding approximate solutions to constrained nonlinear monotone operator equations with applications.

    Applied Numerical Mathematics, vol. 177, pp. 79–92, 2022.

  13. [26]

    A. B. Abubakar, H. Mohammad, P. Kumam, S. A. Rano, A. H. Ibrahim, A. I. Kiri.

    On the new spectral conjugate gradient-type method for monotone nonlinear equations and signal recovery.

    Mathematical Methods in the Applied Sciences, 2022.

    onlinelibrary.wiley.com/doi/abs/10.1002/mma.8479

  14. [25]

    A. B. Abubakar, M. Malik, P. Kumam, H. Mohammad, M. Sun, A. H. Ibrahim, A. I. Kiri.

    A Liu–Storey-type conjugate gradient method for unconstrained minimization problem with application in motion control.

    Journal of King Saud University – Science, vol. 34, no. 4, p. 101923, 2022.

    jksus.org/a-liu-storey-type-conjugate-gradient-method-for-unconstrained-minimization-problem-with-application-in-motion-control/

  15. [24]

    K. U. Danmalam, H. Mohammad, M. Y. Waziri.

    Structured diagonal Gauss–Newton method for nonlinear least squares.

    Computational and Applied Mathematics, vol. 41, no. 2, pp. 1–21, 2022.

  16. [23]

    A. M. Awwal, H. Mohammad, M. M. Yahaya, A. B. Muhammadu, A. Ishaku.

    A new algorithm with structured diagonal hessian approximation for solving nonlinear least squares problems and application to robotic motion control.

    Thai Journal of Mathematics, vol. 19, no. 3, pp. 924–941, 2021.

  17. [22]

    H. Mohammad, A. M. Awwal, A. B. Abubakar, A. S. Ben-Musa.

    On the derivative-free quasi-Newton-type algorithm for separable systems of nonlinear equations.

    RAIRO – Operations Research, vol. 55, no. 6, pp. 3293–3316, 2021.

  18. [21]

    H. Mohammad, M. Y. Waziri, A. B. Abubakar.

    A derivative-free multivariate spectral projection algorithm for constrained nonlinear monotone equations.

    International Journal of Applied and Computational Mathematics, vol. 7, no. 2, pp. 1–30, 2021.

  19. [20]

    A. B. Abubakar, H. Mohammad, M. Y. Waziri.

    Two derivative-free algorithms for constrained nonlinear monotone equations.

    Computational and Mathematical Methods, vol. 3, no. 6, p. e1176, 2021.

  20. [19]

    A. B. Abubakar, P. Kumam, H. Mohammad, A. H. Ibrahim.

    PRP-like algorithm for monotone operator equations.

    Japan Journal of Industrial and Applied Mathematics, vol. 38, no. 3, pp. 805–822, 2021.

  21. [18]

    A. Awwal, P. Kumam, H. Mohammad, W. Watthayu, A. Abubakar.

    A Perry-type derivative-free algorithm for solving nonlinear system of equations and minimizing ℓ₁ regularized problem.

    Optimization, vol. 70, no. 5–6, pp. 1231–1259, 2021.

  22. [17]

    K. U. Danmalam, H. Mohammad, A. B. Abubakar, A. M. Awwal.

    Hybrid algorithm for system of nonlinear monotone equations based on the convex combination of Fletcher–Reeves and a new conjugate residual parameters.

    Thai Journal of Mathematics, vol. 18, no. 4, pp. 2093–2106, 2021.

  23. [16]

    H. Mohammad.

    A diagonal PRP-type projection method for convex constrained nonlinear monotone equations.

    Journal of Industrial & Management Optimization, vol. 17, no. 1, pp. 101–116, 2021.

  24. [15]

    A. Awwal, P. Kumam, H. Mohammad.

    Iterative algorithm with structured diagonal hessian approximation for solving nonlinear least squares problems.

    Journal of Nonlinear and Convex Analysis, vol. 22, no. 6, pp. 1173–1188, 2021.

  25. [14]

    A. M. Awwal, L. Wang, P. Kumam, H. Mohammad.

    A two-step spectral gradient projection method for system of nonlinear monotone equations and image deblurring problems.

    Symmetry, vol. 12, no. 6, p. 874, 2020.

  26. [13]

    A. M. Awwal, L. Wang, P. Kumam, H. Mohammad, W. Watthayu.

    A projection Hestenes–Stiefel method with spectral parameter for nonlinear monotone equations and signal processing.

    Mathematical and Computational Applications, vol. 25, no. 2, p. 27, 2020.

  27. [12]

    A. H. Ibrahim, K. Muangchoo, A. B. Abubakar, A. D. Adedokun, H. Mohammad.

    Spectral conjugate gradient like method for signal reconstruction.

    Thai Journal of Mathematics, vol. 18, no. 4, pp. 2013–2022, 2020.

  28. [11]

    H. Mohammad, A. B. Abubakar.

    A descent derivative-free algorithm for nonlinear monotone equations with convex constraints.

    RAIRO – Operations Research, vol. 54, no. 2, pp. 489–505, 2020.

  29. [10]

    A. B. Abubakar, P. Kumam, H. Mohammad.

    A note on the spectral gradient projection method for nonlinear monotone equations with applications.

    Computational and Applied Mathematics, vol. 39, no. 2, pp. 1–35, 2020.

  30. [9]

    A. B. Abubakar, P. Kumam, H. Mohammad, A. M. Awwal.

    A Barzilai–Borwein gradient projection method for sparse signal and blurred image restoration.

    Journal of the Franklin Institute, vol. 357, no. 11, pp. 7266–7285, 2020.

  31. [8]

    A. B. Abubakar, P. Kumam, H. Mohammad, A. M. Awwal.

    An efficient conjugate gradient method for convex constrained monotone nonlinear equations with applications.

    Mathematics, vol. 7, no. 9, p. 767, 2019.

  32. [7]

    A. B. Abubakar, P. Kumam, H. Mohammad, A. M. Awwal, K. Sitthithakerngkiet.

    A modified Fletcher–Reeves conjugate gradient method for monotone nonlinear equations with some applications.

    Mathematics, vol. 7, no. 8, p. 745, 2019.

  33. [6]

    H. Mohammad, M. Y. Waziri, S. A. Santos.

    A brief survey of methods for nonlinear least-squares problems.

    Numerical Algebra, Control and Optimization, vol. 9, no. 1, pp. 1–13, 2019.

  34. [5]

    H. Mohammad, M. Y. Waziri.

    Structured two-point stepsize gradient methods for nonlinear least squares.

    Journal of Optimization Theory and Applications, vol. 181, no. 1, pp. 298–317, 2019.

  35. [4]

    H. Mohammad, S. A. Santos.

    A structured diagonal Hessian approximation method with evaluation complexity analysis for nonlinear least squares.

    Computational and Applied Mathematics, vol. 37, pp. 6619–6653, 2018.

  36. [3]

    H. Mohammad.

    Barzilai–Borwein-like method for solving large-scale non-linear systems of equations.

    Journal of the Nigerian Mathematical Society, vol. 36, no. 1, pp. 71–83, 2017.

  37. [2]

    H. Mohammad, A. B. Abubakar.

    A positive spectral gradient-like method for large-scale nonlinear monotone equations.

    Bulletin of Computational and Applied Mathematics, vol. 5, no. 1, pp. 97–113, 2017.

  38. [1]

    H. Mohammad, M. Y. Waziri.

    On Broyden-like update via some quadratures for solving nonlinear systems of equations.

    Turkish Journal of Mathematics, vol. 39, no. 3, pp. 335–345, 2015.