A modified three-term PRP conjugate gradient algorithm for optimization models
Abstract
The nonlinear conjugate gradient (CG) algorithm is a very effective method for optimization, especially for large-scale problems, because of its low memory requirement and simplicity. Zhang et al. (IMA J. Numer. Anal. 26:629-649, 2006) firstly propose a three-term CG algorithm based on the well known Polak-Ribière-Polyak (PRP) formula for unconstrained optimization, where their method has the sufficient descent property without any line search...
Paper Details
Title
A modified three-term PRP conjugate gradient algorithm for optimization models
Published Date
May 3, 2017
Volume
2017
Issue
1
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