Abstract
In this decade, nonlinear conjugate gradient methods have been focused on as effective numerical methods for solving large-scale unconstrained optimization problems. Especially, nonlinear conjugate gradient methods with the sufficient descent property have been studied by many researchers. In this paper, we review sufficient descent nonlinear conjugate gradient methods.
| Original language | English |
|---|---|
| Pages (from-to) | 167-203 |
| Number of pages | 37 |
| Journal | SUT Journal of Mathematics |
| Volume | 50 |
| Issue number | 2 |
| Publication status | Published - 2014 Jan 1 |
| Externally published | Yes |
Keywords
- Conjugate gradient method
- Global convergence
- Sufficient descent condition
- Unconstrained optimization
ASJC Scopus subject areas
- Mathematics(all)