Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Rana Z. AL-Kawaz"'
Publikováno v:
Journal of Mathematics, Vol 2020 (2020)
This article considers modified formulas for the standard conjugate gradient (CG) technique that is planned by Li and Fukushima. A new scalar parameter θkNew for this CG technique of unconstrained optimization is planned. The descent condition and g
Externí odkaz:
https://doaj.org/article/a9a49c60422c44ee8cf285de7cb5230b
Autor:
Abbas Y. AL-Bayati, Rana Z. AL-Kawaz
Publikováno v:
مجلة التربية والعلم, Vol 27, Iss 3, Pp 71-96 (2018)
In this paper, we have discussed and investigated two nonlinear extended PR-CG method which use function and gradient values. The two new methods involve the standard CG-methods and have the sufficient descent and globally convergence properties unde
Externí odkaz:
https://doaj.org/article/6d25be81861e441097e245a0cea7c093
Publikováno v:
Journal of Applied Mathematics, Vol 2019 (2019)
In this work, we tend to deal within the field of the constrained optimization methods of three-term Conjugate Gradient (CG) technique which is primarily based on Dai–Liao (DL) formula. The new proposed technique satisfies the conjugacy property an
Externí odkaz:
https://doaj.org/article/5f8c3cf781b9407192d301ef49ed17f9
Autor:
Abbas Y. AL-Bayati, Rana Z. AL-Kawaz
Publikováno v:
المجلة العراقية للعلوم الاحصائية, Vol 11, Iss 2, Pp 174-191 (2011)
In this paper, we have discussed and investigated an extended PR-CG method which uses function and gradient values. The new method involves the extended CG-methods and have the sufficient descent and globally convergence properties under certain cond
Externí odkaz:
https://doaj.org/article/6d24d2fc6a7c4e6fb12d05ca43299e0c
Publikováno v:
European Journal of Pure and Applied Mathematics. 16:233-242
In this paper, we derive a search direction for the conjugate-gradient method based on use of self-scaling Quasi Newton-method, and the usefulness of the new method is to solve unconstrained optimization problems with large dimensions. In order to cl
A generalized Dai-Liao type CG-method with a new monotone line search for unconstrained optimization
Autor:
Rana Z. Al-Kawaz, Abbas Y. Al-Bayati
Publikováno v:
TELKOMNIKA (Telecommunication Computing Electronics and Control). 21:545
In this paper, we presented two developments, the first deals with generalizing the modernization of the damped Dai-Liao formula in an optimized manner. The second development is by suggesting a monotone line search formula for our new algorithms. Th
Publikováno v:
Journal of Mathematics, Vol 2020 (2020)
This article considers modified formulas for the standard conjugate gradient (CG) technique that is planned by Li and Fukushima. A new scalar parameter θkNew for this CG technique of unconstrained optimization is planned. The descent condition and g
Autor:
Rana Z. Al-Kawaz, Abbas Y. Al-Bayati
In this paper, we proposed a matrix-free double-search direction based on the updated parameter file of the double-search direction with a new mathematical formula for the gamma parameter. When comparing the numerical results of this algorithm with t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4701a0c3b4094a93ea27a8fead04567c
https://zenodo.org/record/5875831
https://zenodo.org/record/5875831
In this article, we have derived two versions and were derived from an algorithm based on the first suggested modified Fletcher-Reeves method in the article for the two-term CG method and another term to get a downward search towards the function min
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::0f9ae24e66aa7903d2fcfc33fb6bbeb8
https://zenodo.org/record/5829973
https://zenodo.org/record/5829973
Autor:
Rana Z. Al-Kawaz, Abbas Y. Al-Bayati
In this article, we give a new modification for the Dai-Liao method to solve monotonous nonlinear problems. In our modification, we relied on two important procedures, one of them was the projection method and the second was the method of damping the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e79a0face77e8a928855887ebede3f5d
https://zenodo.org/record/7063723
https://zenodo.org/record/7063723