A New Version Coefficient Of Three-Term Conjugate Gradient Method To Solve Unconstrained Optimization

This paper presents the new three-term conjugate gradient method for solving unconstrained optimization problem. The main aim is to upgrade the search direction of conjugate gradient method to present a more active new three term method. Our new method satisfies the descent and the sufficient descen...

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Veröffentlicht in:New trends in mathematical sciences 2022-10, Vol.10 (4), p.1-8
Hauptverfasser: Ibrahim, Alaa Luqman, Jahwar, Banaz Hamza
Format: Artikel
Sprache:eng
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Zusammenfassung:This paper presents the new three-term conjugate gradient method for solving unconstrained optimization problem. The main aim is to upgrade the search direction of conjugate gradient method to present a more active new three term method. Our new method satisfies the descent and the sufficient descent conditions and global convergent property. Furthermore, the numerical results show that the new method has a better numerical performance in comparison with the standard (PRP) method from an implementation of our new method on some test functions of unconstrained optimization according to number of iterations (NOI) and the number of functions evaluation (NOF). This paper presents the new three-term conjugate gradient method for solving unconstrained optimization problem. The main aim is to upgrade the search direction of conjugate gradient method to present a more active new three term method. Our new method satisfies the descent and the sufficient descent conditions and global convergent property. Furthermore, the numerical results show that the new method has a better numerical performance in comparison with the standard (PRP) method from an implementation of our new method on some test functions of unconstrained optimization according to number of iterations (NOI) and the number of functions evaluation (NOF).
ISSN:2147-5520
2147-5520
DOI:10.20852/ntmsci.2022.483