A modified quadratic hybridization of Polak-Ribiere-Polyak and Fletcher-Reeves conjugate gradient method for unconstrained optimization problems

Authors

  • Pro Kaelo University of Botswana
  • Sindhu Narayanan
  • M.V. Thuto

DOI:

https://doi.org/10.11121/ijocta.01.2017.00339

Keywords:

Hybridization, conjugate gradient, Wolfe line search conditions, Global convergence

Abstract

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.

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Author Biography

Pro Kaelo, University of Botswana

Senior Lecturer, Mathematics Department

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Published

2017-07-15
CITATION
DOI: 10.11121/ijocta.01.2017.00339
Published: 2017-07-15

How to Cite

Kaelo, P., Narayanan, S., & Thuto, M. (2017). A modified quadratic hybridization of Polak-Ribiere-Polyak and Fletcher-Reeves conjugate gradient method for unconstrained optimization problems. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 7(2), 177–185. https://doi.org/10.11121/ijocta.01.2017.00339

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Section

Research Articles