|
|
|
|
A new coefficient of conjugate gradient methods for nonlinear unconstrained optimization
|
|
|
|
|
|
|
|
نویسنده
|
mohamed n.s. ,mamat m. ,mohamad f.s. ,rivaie m.m.
|
|
منبع
|
jurnal teknologi - 2016 - دوره : 78 - شماره : 6-4 - صفحه:131 -136
|
|
چکیده
|
Conjugate gradient (cg) methods are widely used in solving nonlinear unconstrained optimization problems such as designs,economics,physics and engineering due to its low computational memory requirement. in this paper,a new modifications of cg coefficient (βk) which possessed global convergence properties is proposed by using exact line search. based on the number of iterations and central processing unit (cpu) time,the numerical results show that the new βk performs better than some other well known cg methods under some standard test functions. © 2016 penerbit utm press. all rights reserved.
|
|
کلیدواژه
|
Conjugate gradient coefficient; Conjugate gradient method; Exact line search; Global convergence; Unconstrained optimization
|
|
آدرس
|
faculty of informatics and computing,universiti sultan zainal abidin (unisza),campus tembila besutterengganu, Malaysia, faculty of informatics and computing,universiti sultan zainal abidin (unisza),campus tembila besutterengganu, Malaysia, faculty of informatics and computing,universiti sultan zainal abidin (unisza),campus tembila besutterengganu, Malaysia, department of computer sciences and mathematics,universiti teknologi mara (uitm)terengganu, Malaysia
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Authors
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|