New family of nonlinear conjugate gradient methods for solving unconstrained optimization problems and its application
Conjugate gradient (CG) method is one of the most effective algorithms for solving unconstrained optimization problem. Some CG methods cycle infinitely without reaching the solution point and do not possess global convergence properties. Even if the method reaches a solution point, the process often...
| Main Author: | |
|---|---|
| Corporate Author: | |
| Format: | Thesis Book |
| Language: | English |
| Subjects: |
Table of Contents:
- 1. Introduction of optimization
- 2. Mathematical review in optimization
- 3. Conjugate gradient (CG) method
- 4. New conjugate gradient (CG) methods
- 5. Results and discussion
- 6. Implementation
- 7. Conclusion and future research