Title: A scaled conjugate gradient method for nonlinear unconstrained optimization
Abstract: We propose a new optimization problem which combines the good features of the classical conjugate gradient method using some penalty parameter, and then, solve it to introduce a new scaled conjugate gradient method for solving unconstrained problems. The method reduces to the classical conjugate gradient algorithm under common assumptions, and inherits its good properties. We prove the global convergence of the method using suitable conditions. Numerical results show that the new method is efficient and robust.
Publication Year: 2016
Publication Date: 2016-09-29
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 9
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