عنوان المقالة:A New Nonlinear Conjugate Gradient Coefficient for Unconstrained Optimization
محمد احمد حموده | Mohamed Ahmed Hamoda | 17087
نوع النشر
مجلة علمية
المؤلفون بالعربي
Mohamed Hamoda, Mohd Rivaie ,Mustafa Mamat, Zabidin Salleh
الملخص العربي
In this paper, we suggest a new nonlinear conjugate gradient method for solving large-scale unconstrained optimization problems. We prove that the new conjugate gradient coefficient β k with exact line search is globally convergent Preliminary numerical results with a set of 116 unconstrained optimization problems show that βk is very promising and efficient when compared to the other conjugate gradient coefficients Fletcher - Reeves (FR) and Polak -Ribiere - Polyak (PRP) .
تاريخ النشر
07/03/2015
الناشر
Applied Mathematical Sciences
رقم المجلد
9
رقم العدد
37
رابط DOI
http://dx.doi.org/10.12988/ams.2015.411994
الصفحات
1813-1822
رابط الملف
تحميل (627 مرات التحميل)
رابط خارجي
http://www.m-hikari.com/ams/ams-2015/ams-37-40-2015/411994.html
الكلمات المفتاحية
Conjugate gradient coefficient, exact line search, global convergence,large scale, unconstrained o
رجوع