A new convergent conjugate gradient method under the exact line search

Mustafa, Mamat (2014) A new convergent conjugate gradient method under the exact line search. In: International Conference on Mathematics, Engineering and Industrial Applications, ICoMEIA 2014, 28-30 May 2014, Penang; Malaysia.

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Abstract

Conjugate gradient methods are widely used for unconstrained optimization problems, especially large scale problems. That is, for its simplicity, low memory requirement, and global convergence properties. In this paper, we study the global convergence properties of a new conjugate gradient method under the exact line search. Under some assumptions, the proofs of the sufficient descent property and the global convergence are given. The numerical results show that our new method is efficient for some unconstrained optimization problems.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Informatics & Computing
Depositing User: Rosnorzaini Rusli
Date Deposited: 20 Oct 2020 03:22
Last Modified: 20 Oct 2020 03:22
URI: http://eprints.unisza.edu.my/id/eprint/234

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