New Hybrid Conjugate Gradient Method as a Convex Combination of Dai–Liao and Wei–Yao–Liu

In this research, a new method of hybrid conjugated gradient methods was developed. This method is based mainly on the hybridization of Dia-Laio and Wei-Yao-Liu algorithms, by using convex fitting and conjugate condition of line Uncontrolled search. The resulting algorithm fulfills the condition of...

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Main Authors: Zeyad Mohammed Abdullah, Faris Saleem Dhyab
Format: Article
Language:English
Published: Tikrit University 2021-12-01
Series:Tikrit Journal of Pure Science
Subjects:
Online Access:https://tjpsj.org/index.php/tjps/article/view/199
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author Zeyad Mohammed Abdullah
Faris Saleem Dhyab
author_facet Zeyad Mohammed Abdullah
Faris Saleem Dhyab
author_sort Zeyad Mohammed Abdullah
collection DOAJ
description In this research, a new method of hybrid conjugated gradient methods was developed. This method is based mainly on the hybridization of Dia-Laio and Wei-Yao-Liu algorithms, by using convex fitting and conjugate condition of line Uncontrolled search. The resulting algorithm fulfills the condition of sufficient proportions and has universal convergence under certain assumptions. The numerical results indicated the efficiency of this method in solving nonlinear test functions in the given unconstrained optimization.
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issn 1813-1662
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publishDate 2021-12-01
publisher Tikrit University
record_format Article
series Tikrit Journal of Pure Science
spelling doaj-art-87fe14d01a6744c197597f5808c5008d2025-08-20T03:16:51ZengTikrit UniversityTikrit Journal of Pure Science1813-16622415-17262021-12-0126610.25130/tjps.v26i6.199New Hybrid Conjugate Gradient Method as a Convex Combination of Dai–Liao and Wei–Yao–LiuZeyad Mohammed AbdullahFaris Saleem Dhyab In this research, a new method of hybrid conjugated gradient methods was developed. This method is based mainly on the hybridization of Dia-Laio and Wei-Yao-Liu algorithms, by using convex fitting and conjugate condition of line Uncontrolled search. The resulting algorithm fulfills the condition of sufficient proportions and has universal convergence under certain assumptions. The numerical results indicated the efficiency of this method in solving nonlinear test functions in the given unconstrained optimization. https://tjpsj.org/index.php/tjps/article/view/199Unconstrained optimizationConjugate Gradient methodInexact line searchGlobal convergenceHybrid conjugate gradient method
spellingShingle Zeyad Mohammed Abdullah
Faris Saleem Dhyab
New Hybrid Conjugate Gradient Method as a Convex Combination of Dai–Liao and Wei–Yao–Liu
Tikrit Journal of Pure Science
Unconstrained optimization
Conjugate Gradient method
Inexact line search
Global convergence
Hybrid conjugate gradient method
title New Hybrid Conjugate Gradient Method as a Convex Combination of Dai–Liao and Wei–Yao–Liu
title_full New Hybrid Conjugate Gradient Method as a Convex Combination of Dai–Liao and Wei–Yao–Liu
title_fullStr New Hybrid Conjugate Gradient Method as a Convex Combination of Dai–Liao and Wei–Yao–Liu
title_full_unstemmed New Hybrid Conjugate Gradient Method as a Convex Combination of Dai–Liao and Wei–Yao–Liu
title_short New Hybrid Conjugate Gradient Method as a Convex Combination of Dai–Liao and Wei–Yao–Liu
title_sort new hybrid conjugate gradient method as a convex combination of dai liao and wei yao liu
topic Unconstrained optimization
Conjugate Gradient method
Inexact line search
Global convergence
Hybrid conjugate gradient method
url https://tjpsj.org/index.php/tjps/article/view/199
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AT farissaleemdhyab newhybridconjugategradientmethodasaconvexcombinationofdailiaoandweiyaoliu