مشخصات پژوهش

عنوان	On q-variant of Dai–Yuan conjugate gradient algorithm for unconstrained optimization problems
نوع پژوهش	مقاله چاپ‌شده در مجلات علمی
کلیدواژه‌ها	Conjugate gradient method · Global convergence · Wolfe conditions
چکیده	In this paper, we propose a modified q-Dai–Yuan (q-DY) conjugate gradient algorithm based on q-gradient for solving unconstrained optimization problems. The q-gradient is calculated based on qderivative that requires a dilation parameter q for controlling the balance between the local and global search. The strong global convergence of the algorithm is proved under standardWolfe conditions, and numerical results show the efficiency of the proposed algorithm
پژوهشگران	محمداسماعیل سامعی (نفر اول)، شاشی کنت میشرا (نفر دوم)، سورا منتی چاکرابورتی (نفر سوم)، باهاگوات رام (نفر چهارم)