New Hybrid Conjugate Gradient Method with Global Convergence Properties under Exact Line Search
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2018-08-17 https://doi.org/10.14419/ijet.v7i3.28.20965
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Nonlinear optimization, conjugate gradient coefficient, exact line search, global convergence, large scale. -
Abstract
Conjugate Gradient (CG) method is a very useful technique for solving large-scale nonlinear optimization problems. In this paper, we propose a new formula for 12خ²k"> , which is a hybrid of PRP and WYL methods. This method possesses sufficient descent and global convergence properties when used with exact line search. Numerical results indicate that the new formula has higher efficiency compared with other classical CG methods.
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How to Cite
Salih, Y., Mamat, M., Rivaie, M., Abashar, A., & Afendee Mohamed, M. (2018). New Hybrid Conjugate Gradient Method with Global Convergence Properties under Exact Line Search. International Journal of Engineering & Technology, 7(3.28), 54-57. https://doi.org/10.14419/ijet.v7i3.28.20965Received date: 2018-10-04
Accepted date: 2018-10-04
Published date: 2018-08-17