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Journal of Engineering and Applied Sciences

Another Descent Conjugate Gradient Method with Strong-Wolfe Line Search
Nur Hamizah Abdul Ghani, Mustafa Mamat, Fatma Susilawati, Norhaslinda Zull, Nur Syarafina Mohamed and Mohd Rivaie

Abstract: This study considers an iterative method which is a nonlinear conjugate gradient method for solving unconstrained optimization problems. We propose a new conjugate gradient method satisfying sufficient descent condition when strong Wolfe line search is used. We then compare the new method against other known conjugate gradient methods. Numerical results show that the proposed method is efficient relative to the number of iteration and computational time.

How to cite this article
Nur Hamizah Abdul Ghani, Mustafa Mamat, Fatma Susilawati, Norhaslinda Zull, Nur Syarafina Mohamed and Mohd Rivaie, 2017. Another Descent Conjugate Gradient Method with Strong-Wolfe Line Search. Journal of Engineering and Applied Sciences, 12: 4632-4636.

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