A new hyhbrid coefficient of conjugate gradient method
Published on Jun 1, 2020in Indonesian Journal of Electrical Engineering and Computer Science
· DOI :10.11591/IJEECS.V18.I3.PP1454-1463
Hybridization is one of the popular approaches in modifying the conjugate gradient method. In this paper, a new hybrid conjugate gradient is suggested and analyzed in which the parameter is evaluated as a convex combination of while using exact line search. The proposed method is shown to possess both sufficient descent and global convergence properties. Numerical performances show that the proposed method is promising and has overpowered other hybrid conjugate gradient methods in its number of iterations and central processing unit per time.
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