The application of new conjugate gradient methods in estimating data

  • Authors

    • Syazni Shoid
    • Norrlaili Shapiee
    • Norhaslinda Zull
    • Nur Hamizah Abdul Ghani
    • Nur Syarafina Mohamed
    • Mohd Rivaie
    • Mustafa Mamat
    2018-04-06
    https://doi.org/10.14419/ijet.v7i2.14.11147
  • Conjugate Gradient Coefficient, Inexact Line Search, Least Squares, Regression, Strong Wolfe Powell

  • Abstract

    Many researchers are intended to improve the conjugate gradient (CG) methods as well as their applications in real life. Besides, CG become more interesting and useful in many disciplines and has important role for solving large-scale optimization problems. In this paper, three types of new CG coefficients are presented with application in estimating data. Numerical experiments show that the proposed methods have succeeded in solving problems under strong Wolfe Powell line search conditions.

     

  • References

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  • How to Cite

    Shoid, S., Shapiee, N., Zull, N., Hamizah Abdul Ghani, N., Syarafina Mohamed, N., Rivaie, M., & Mamat, M. (2018). The application of new conjugate gradient methods in estimating data. International Journal of Engineering & Technology, 7(2.14), 25-27. https://doi.org/10.14419/ijet.v7i2.14.11147

    Received date: 2018-04-06

    Accepted date: 2018-04-06

    Published date: 2018-04-06