A combination of FR and HS coefficient in conjugate gradient method for unconstrained optimization

The conjugate gradient (CG) method is one of the most popular methods for solving large-scale problems of unconstrained optimization. In this paper, a new CG method based on combination of two classical CG methods of Fletcher-Reeves (FR), and Hestence-Stiefel (HS) is proposed. This method possess...

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Bibliographic Details
Main Authors: Mustafa, Mamat, Ibrahim Sulaiman, Mohammed, Salleh, Al-Suliman
Format: Article
Language:English
Published: 2019
Subjects:
Online Access:http://eprints.unisza.edu.my/6753/1/FH02-FIK-20-47982.pdf
http://eprints.unisza.edu.my/6753/
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Institution: Universiti Sultan Zainal Abidin
Language: English
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