-أريد

نوع النشر: مجلة علمية
المؤلفون بالعربي
المؤلفون بالإنجليزي: Rana Z. Al-Kawaz
الملخص الانجليزي: In this article, presents a new technique to β_k parameter and check the sensitive about the scalar for Powell restart to solve unconstrained optimization functions. Global convergence with new approaches is established to minimize the selected testing functions for the conjugate gradient algorithms.. The new methods are tested on a number of benchmark functions that have been extensively used for general functions and numerical results showing the competitiveness of new methods.
تاريخ النشر: 08/08/2018
الناشر: International Journal of Computer Science and Information Security (IJCSIS)
رقم المجلد: 16
رقم العدد: 8
ISSN/ISBN: 1947-5500
الصفحات: 135-143
رابط خارجي: https://www.google.com/url?q=https%3A%2F%2Fwww.academia.edu%2F37365390%2FAverage_Conjugate_Gradient_Method_With_Optimum_Restart_Powell_For_Nonlinear_Function&sa=D&sntz=1&usg=AOvVaw0Nl7748F0nh0_liluH1xs-
الكلمات المفتاحية: Powell restart; unconstrained optimization functions; conjugate gradient algorithm; global convergence