A modified conjugate gradient coefficient under exact line search for unconstrained optimization
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Published:2018-08-17
Issue:3.28
Volume:7
Page:84
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ISSN:2227-524X
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Container-title:International Journal of Engineering & Technology
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language:
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Short-container-title:IJET
Author:
Aini Nurul,Hajar Nurul,Rivaie Mohd,Mamat Mustafa
Abstract
The conjugate gradient (CG) method is a well-known solver for large-scale unconstrained optimization problems. In this paper, a modified CG method based on AMR* and CD method is presented. The resulting algorithm for the new CG method is proved to be globally convergent under exact line search both under some mild conditions. Comparisons of numerical performance are made involving the new method and four other CG methods. The results show that the proposed method is more efficient.
Publisher
Science Publishing Corporation
Subject
Hardware and Architecture,General Engineering,General Chemical Engineering,Environmental Engineering,Computer Science (miscellaneous),Biotechnology
Cited by
2 articles.
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1. New Hybrid Conjugate Gradient Method Under Exact Line Search;Proceedings of the International Conference on Mathematical Sciences and Statistics 2022 (ICMSS 2022);2022-12-06
2. A Hybrid of Quasi-Newton Method with CG Method for Unconstrained Optimization;Journal of Physics: Conference Series;2019-11-01