Secant Condition Free of a Spectral PRP Conjugate Gradient Method

  • Authors

    • Usman A bbas Yakubu
    • Mustafa Mamat
    • Mohamad Afendee Mohamed
    • Sukono .
    • Mohd Rivaie
    https://doi.org/10.14419/ijet.v7i3.28.23470
  • Global convergence, exact line search, spectral CG, secant condition, sufficient descent property.

  • Abstract

    Recently conjugate gradient method have been in practice widely to solve unconstrained minimization problems as a result of fewer storage locations and less computational expensive in dealing with the large-scale problems. In this work, we suggested a spectral PRP CG method without employing the secant condition and use some unconstrained problems with many variables to prove its sufficient descent as well as global convergence, the results is validated by apply exact line search.

                                                                                                                                          

     

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  • How to Cite

    bbas Yakubu, U. A., Mamat, M., Afendee Mohamed, M., ., S., & Rivaie, M. (2018). Secant Condition Free of a Spectral PRP Conjugate Gradient Method. International Journal of Engineering & Technology, 7(3.28), 325-328. https://doi.org/10.14419/ijet.v7i3.28.23470

    Received date: 2018-12-08

    Accepted date: 2018-12-08