A PCG ALGORITHM FOR NON-LINEAR OPTIMIZATION BASED ON A QUADRATIC MODEL
Section: Article
Abstract
In this paper a new preconditioned Extended Conjugate Gradient with self-scaling Variable Metric method is proposed for unconstrained optimization. This method is based on the inexact line searches and it is examined by using different nonlinear test functions with various dimensions.
Identifiers
Download this PDF file
Statistics
How to Cite
[1]
A. Y. AI-Bayati and A. M. AI-Rozbayani, “A PCG ALGORITHM FOR NON-LINEAR OPTIMIZATION BASED ON A QUADRATIC MODEL”, EDUSJ, vol. 18, no. 1, pp. 88–101, Jan. 2006.
