References

Abidin, Z.A.Z., M. Mamat, M. Rivaie and I. Mohd, 2014. A new steepest descent method. Proceedings of the 3rd International Conference on Mathematical Sciences, Vol. 1602, December 17-19, 2013, AIP, Melville, New York, ISBN:978-0-7354-1236-1, pp: 273-278.

Buonaccorsi, J.P. and J.S. Elkinton, 2002. Regression analysis in a spatial-temporal context: Least squares, generalized least squares and the use of the bootstrap. J. Agric. Biol. Environ. Stat., 7: 4-20.
CrossRef  |  Direct Link  |  

Fletcher, R. and C.M. Reeves, 1964. Function minimization by conjugate gradients. Comput. J., 7: 149-154.
CrossRef  |  Direct Link  |  

Hamoda, M., M. Rivaie, M. Mamat and Z. Salleh, 2015. A new nonlinear conjugate gradient coefficient for unconstrained optimization. Appl. Math. Sci., 9: 1813-1822.

Mohameda, N.S., M. Mamata, F. Susilawati and M.R.A. Mohamada, 2016. A new coefficient of conjugate gradient methods for nonlinear unconstrained optimization. J. Technol., 78: 131-136.

Moyi, A.U., W.J. Leong and I. Saidu, 2014. On the application of three-term conjugate gradient method in regression analysis. Int. J. Comput. Appl., 102: 1-1.
Direct Link  |  

Narula, S.C. and J.F. Wellington, 1977. An algorithm for the minimum sum of weighted absolute errors regression. Commun. Stat. Simul. Comput., 6: 341-352.
Direct Link  |  

Polak, E. and G. Ribiere, 1969. Note on the convergence of conjugate directions. Rev. French Inf. Oper. Res., 16: 35-43.

Rivaie, M., M. Mamat, L.W. June and I. Mohd, 2012. A new class of nonlinear conjugate gradient coefficients with global convergence properties. Appl. Math. Comput., 218: 11323-11332.
Direct Link  |  

Yuan, G. and Z. Wei, 2009. New line search methods for unconstrained optimization. J. Korean Stat. Soc., 38: 29-39.
CrossRef  |  

Zoutendijk, G., 1970. Nonlinear Programming Computational Methods. In: Integer and Nonlinear Programming, Abadie, J. (Ed.). North-Holland, Amsterdam, pp: 37-86.