Global convergence properties of a new class of conjugate gradient method for unconstrained optimization
Nonlinear conjugate gradient (CG) methods are widely used for solving large scale unconstrained optimization problems. Many studies have been devoted to modified and improve this method. In this paper, a new parameter of CG method that possesses global convergence properties using exact line sear...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2014
|
| Subjects: | |
| Online Access: | http://eprints.unisza.edu.my/4301/1/FH02-FIK-14-00732.jpg http://eprints.unisza.edu.my/4301/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Sultan Zainal Abidin |
| Language: | English |
| Summary: | Nonlinear conjugate gradient (CG) methods are widely used for solving large scale
unconstrained optimization problems. Many studies have been devoted to modified and improve
this method. In this paper, a new parameter of CG method that possesses global convergence
properties using exact line search is proposed. Numerical results show that the new formula is
best and more efficient when compared with the other classical CG methods. |
|---|