The global convergence properties of a conjugate gradient method

Mustafa, Mamat and Omer, O.a and Abashar, A.a and Rivaie, M.c (2014) The global convergence properties of a conjugate gradient method. In: 3rd ICMS 2013, 17-19 December 2013, Kuala Lumpur, Malaysia.

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Conjugate gradient method are the most famous methods for solving nonlinear unconstrained optimization problems, especially large scale problems. That is, for its simplicity and low memory requirement. The strong Wolfe line search are usually used in practice for the analyses and implementations of conjugate gradient methods. In this paper, we present a new method of nonlinear conjugate gradient method with strong Wolfe line search for unconstrained optimization problems. Under some assumptions, 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
T Technology > T Technology (General)
Divisions: Faculty of Informatics & Computing
Depositing User: Muhammad Akmal Azhar
Date Deposited: 21 Oct 2020 07:19
Last Modified: 21 Oct 2020 07:19

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