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 |
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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). |
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ISSN: | 2147-5520 2147-5520 |
DOI: | 10.20852/ntmsci.2022.483 |