Diagonal preconditioned conjugate gradient algorithm for unconstrained optimization

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Diagonal preconditioned conjugate gradient algorithm for unconstrained optimization

The nonlinear conjugate gradient (CG) methods have widely been used in solving unconstrained optimization problems. They are well-suited for large-scale optimization problems due to their low memory requirements and least computational costs. In this paper, a new diagonal preconditioned conjugate gr...

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Bibliographic Details
Main Authors:	Ng, Choong Boon, Leong, Wah June, Monsi, Mansor
Format:	Article
Language:	English
Published:	Universiti Putra Malaysia Press 2014
Online Access:	http://psasir.upm.edu.my/id/eprint/40566/ http://psasir.upm.edu.my/id/eprint/40566/1/48.%20Diagonal%20Preconditioned%20Conjugate%20Gradient%20Algorithm%20for.pdf

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