عنوان المقالة: Average Conjugate Gradient Method With Optimum Restart Powell For Nonlinear Function
- Publication Type
- Journal
- Arabic Authors
- English Authors
- Rana Z. Al-Kawaz
- Abstract
- 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.
- Publication Date
- 8/8/2018
- Publisher
- International Journal of Computer Science and Information Security (IJCSIS)
- Volume No
- 16
- Issue No
- 8
- ISSN/ISBN
- 1947-5500
- Pages
- 135-143
- External Link
- 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-
- Keywords
- Powell restart; unconstrained optimization functions; conjugate gradient algorithm; global convergence