A conjugate gradient method with descent direction for unconstrained optimization

Volume: 233, Issue: 2, Pages: 519 - 530
Published: Nov 1, 2009
Abstract
A modified conjugate gradient method is presented for solving unconstrained optimization problems, which possesses the following properties: (i) The sufficient descent property is satisfied without any line search; (ii) The search direction will be in a trust region automatically; (iii) The Zoutendijk condition holds for the Wolfe–Powell line search technique; (iv) This method inherits an important property of the well-known Polak–Ribière–Polyak...
Paper Details
Title
A conjugate gradient method with descent direction for unconstrained optimization
Published Date
Nov 1, 2009
Volume
233
Issue
2
Pages
519 - 530
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