Gradient method with multiple damping for large-scale unconstrained optimization

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Gradient method with multiple damping for large-scale unconstrained optimization

Gradient methods are popular due to the fact that only gradient of the objective function is required. On the other hand, the methods can be very slow if the objective function is very ill-conditioned. One possible reason for the inefficiency of the gradient methods is that a constant criterion, whi...

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Bibliographic Details
Main Authors:	Sim, Hong Seng, Leong, Wah June, Chen, Chuei Yee
Format:	Article
Published:	Springer 2019
Online Access:	http://psasir.upm.edu.my/id/eprint/80005/

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