A modified quadratic hybridization of Polak-Ribiere-Polyak and Fletcher-Reeves conjugate gradient method for unconstrained optimization problems
| Autor: | Sindhu Narayanan, P. Kaelo, M. V. Thuto |
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| Rok vydání: | 2017 |
| Předmět: |
T57-57.97
Mathematical optimization Applied mathematics. Quantitative methods Control and Optimization Applied Mathematics Hybridization conjugate gradient Wolfe line search conditions Global convergence Wolfe conditions Derivation of the conjugate gradient method Nonlinear conjugate gradient method Conjugate gradient method QA1-939 Conjugate residual method Quadratic programming Gradient descent Gradient method Mathematics |
| Zdroj: | An International Journal of Optimization and Control: Theories & Applications, Vol 7, Iss 2, Pp 177-185 (2017) |
| ISSN: | 2146-5703 2146-0957 |
| Popis: | This article presents a modified quadratic hybridization of the Polak–Ribiere–Polyak and Fletcher–Reeves conjugate gradient method for solving unconstrained optimization problems. Global convergence, with the strong Wolfe line search conditions, of the proposed quadratic hybrid conjugate gradient method is established. We also report some numerical results to show the competitiveness of the new hybrid method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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