Please use this identifier to cite or link to this item: http://umt-ir.umt.edu.my:8080/handle/123456789/5466
Title: A Modified NPRP Nonlinear Conjugate Gradient Method with Global Convergence Properties
Authors: Alhawarat, A.
Mustafa, M.
Ismail, M.
Zabidin, S.
Keywords: Gradient Method
Exact Line Search
Strong Wolf Line Search
Global Convergence
Issue Date: Feb-2016
Publisher: Malaysian Journal of Mathematical Sciences
Citation: Vol 10 ; 91-101 p.
Abstract: Conjugate gradient method (CG), is one of many methods used to solve large scale optimization problems in many fields. In fact memory storage and speed of the algorithm to reach the optimum solution for general nonlinear unconstrained optimization functions are our goals. In this paper, we modified a new efficient method passes the sufficient decent condition, and it has global convergence under exact line search and strong Wolfe line search. Furthermore the numerical results to find the optimum solution of some test functions show the new modification has the best results in CPU time, and the number of iteration when it comparing with other conventional methods.
URI: http://hdl.handle.net/123456789/5466
Appears in Collections:Journal Articles

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