- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
A New Hybrid Conjugate Gradient Method with Guaranteed Descent for Unconstraint Optimization | ||
| Al-Mustansiriyah Journal of Science | ||
| Article 1, Volume 28, Issue 3, 2017, Pages 193-199 | ||
| Author | ||
| Basim A. Hassan | ||
| Abstract | ||
| The unconstrained optimization problem can be solving by using the conjugate gradient method. In this paper, we suggest new hybrid nonlinear conjugate gradient methods, which have the descent at every iteration and globally convergence properties under certain conditions. It can be seen clearly that new hybrid method are efficient for the given test problems depending on their numerical results. | ||
| Keywords | ||
| Conjugate gradient; Hybrid conjugate gradient; Descent condition; numerical results | ||
|
Statistics Article View: 56 PDF Download: 22 |
||