A descent nonlinear conjugate gradient method for large-scale unconstrained optimization
Volume: 187, Issue: 2, Pages: 636 - 643
Published: Apr 1, 2007
Abstract
In this paper, a new nonlinear conjugate gradient method was proposed for large-scale unconstrained optimization which possesses the following three properties: (i) the sufficient descent property holds without any line searches; (ii) employing some steplength technique which ensures the Zoutendijk condition to be held, this method is globally convergent; (iii) this method inherits an important property of the Polak–Ribière–Polyak (PRP) method:...
Paper Details
Title
A descent nonlinear conjugate gradient method for large-scale unconstrained optimization
Published Date
Apr 1, 2007
Volume
187
Issue
2
Pages
636 - 643
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