Review paper
Application of spectral conjugate gradient methods for solving unconstrained optimization problems
Volume: 10, Issue: 2, Pages: 198 - 205
Published: Jun 4, 2020
Abstract
Conjugate gradient (CG) methods are among the most efficient numerical methods for solving unconstrained optimization problems. This is due to their simplicty and less computational cost in solving large-scale nonlinear problems. In this paper, we proposed some spectral CG methods using the classical CG search direction. The proposed methods are applied to real-life problems in regression analysis. Their convergence proof was establised under...
Paper Details
Title
Application of spectral conjugate gradient methods for solving unconstrained optimization problems
Published Date
Jun 4, 2020
Volume
10
Issue
2
Pages
198 - 205
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