New conjugate gradient and its hybrid method for unconstrained optimization problems
There are several methods for solving unconstrained optimization functions. Of these methods, the ones most commonly u ed are the conjugate gradient (CG) and quasi¬Newton (QN) method. The CG approach is suitable for large scale problems because of its low memory requirement. However, most developmen...
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| Format: | Thesis Book |
| Language: | English |
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Table of Contents:
- 1. Research overview
- 2. Basic concepts of unconstrained optimization
- 3. Methodology
- 4. Modification of conjugate gradient method
- 5. Hybrid quasi-newton method
- 6. Application in regression analysis
- 7. Conclusion