شماره ركورد كنفرانس :
5485
عنوان مقاله :
A Dai-Liao-based extension of the three-term Polak–Ribière–Polyak method
پديدآورندگان :
Aminifard Zohre Department of Mathematics, Semnan University, Semnan, Iran. , Babaie-Kafaki Saman Department of Mathematics, Semnan University, Semnan, Iran.
كليدواژه :
Unconstrained optimization , conjugate gradient method , quasi , Newton method , suffcient descent condition
عنوان كنفرانس :
پنجمين سمينار ملي كنترل و بهينه سازي
چكيده فارسي :
In a significant modification of the Polak–Ribière–Polyak method, Zhang et al. proposed a descent three-term conjugate gradient method which is globally convergent. Here, we develop a class of one-parameter descent extension of the method based on the Dai-Liao approach. Additionally, based on quasi-Newton aspects, the parameter of the method is computed. At last, practical merits of the methods are investigated by numerical experiments on a set of CUTEr test functions. The results show computational effciency of the proposed methods
