Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Abbas Y. AL-Bayati"'
Publikováno v:
International Journal of Mathematics and Mathematical Sciences, Vol 2022 (2022)
One of the more restrictive methods of improvement is the augmented Lagrange method. Two versions are built in the external framework and the internal framework of the proposed method. The first basic version of the proposed algorithm includes a new
Externí odkaz:
https://doaj.org/article/606f146f358d41748183bfeeedb2accf
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 study, we tend to propose a replacement hybrid algorithmic rule which mixes the search directions like Steepest Descent (SD) and Quasi-Newton (QN). First, we tend to develop a replacement search direction for combined conjugate gradient (CG)
Externí odkaz:
https://doaj.org/article/894c1fb694764cdebc01b4b6b93aba05
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
Publikováno v:
المجلة العراقية للعلوم الاحصائية, Vol 13, Iss 3, Pp 210-233 (2013)
Conjugate Gradient (CG) methods are widely used for large scale unconstrained optimization problems. Most of CG-methods don’t always generate a descent search direction, so the descent condition is usually assumed in the analysis and implementation
Externí odkaz:
https://doaj.org/article/5f0517f46171425193fce1dc4c48e2bb
Publikováno v:
مجلة التربية والعلم, Vol 25, Iss 3, Pp 54-61 (2012)
Abstract In this paper, a modified globally convergent self-scaling BFGS algorithm for solving convex unconstrained optimization problems was investigated in which it employs exact line search strategy and the inverse Hessian matrix approximations we
Externí odkaz:
https://doaj.org/article/6f381687ee6e45f980ed038859e96ed7
Autor:
Abbas Y. AL-Bayati, Basim A. Hassan
Publikováno v:
Kirkuk Journal of Science, Vol 7, Iss 1, Pp 153-170 (2012)
In this paper, we have proposed a modified hybrid partitioned VM-method for minimizing a smooth partially separable nonlinear functions. Numerical results indicate that the proposed (modified hybrid) method with it's two different versions was effici
Externí odkaz:
https://doaj.org/article/fbb8cf72dbb84c6ab809fd5ccc9fa8a9
Autor:
Abbas Y. Al-Bayati, Huda E. Khalid
Publikováno v:
المجلة العراقية للعلوم الاحصائية, Vol 12, Iss 1, Pp 1-14 (2012)
تعد درجة الصعوبة مبدأ مهماً في نظرية البرمجة الهندسية الكلاسيكية. والمسألة المقابلة غالبا ما تكون غير مقبولة عند درجة الصعوبة السالبة وب
Externí odkaz:
https://doaj.org/article/2a1f5c4002fb4e57af426f0b4ad2589b
Autor:
Abbas Y. AL-Bayati, Maha S.Y. AL-Salih
Publikováno v:
مجلة التربية والعلم, Vol 25, Iss 1, Pp 116-125 (2012)
Abstract The self-scaling VM-algorithms solves an unconstrained non-linear optimization problems by scaling the Hessian approximation matrix before it is updated at each iteration to avoid the possible large eigen-values in the Hessian approximation
Externí odkaz:
https://doaj.org/article/be7ea35f6cc247a2a38437410cbcd53f