- 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
Parallel Newtonian Optimization without Hessian Approximation | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 7, Volume 3, Issue 2, 2006, Pages 69-82 PDF (407.47 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2006.164053 | ||
| Author | ||
| Khalil K. Abbo | ||
| College of Computer sciences and Mathematics University of Mosul, Iraq | ||
| Abstract | ||
| The purpose of this paper is to introduce parallel algorithms based on the Newton method for solving non-linear unconstrained optimization problem in (MIMD) parallel computers by solving linear system in parallel using Gaussian Elimination method rather than finding inverse Hessian matrix to avoid the errors caused by evaluating the inverse matrix and also to increase computing power and reduce run time. | ||
| Keywords | ||
| non-linear unconstrained optimization; Newton method; parallel algorithm; Hessian matrix | ||
|
Statistics Article View: 294 PDF Download: 258 |
||