A sufficient descent HS conjugate gradient method and its global convergence for unconstrained optimization

Published: May 1, 2012
Abstract
In this paper, a modified descent HS conjugate gradient method is proposed for solving unconstrained optimization problems and a new sufficient descent direction is proposed. Under some suitable conditions, theoretical analysis shows that the algorithm is global convergence. Numerical results show that this method is effective in unconstrained minimizing optimization...
Paper Details
Title
A sufficient descent HS conjugate gradient method and its global convergence for unconstrained optimization
Published Date
May 1, 2012
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