Results 1 to 10 of about 244,425 (248)

New modification of the hestenes-stiefel with strong wolfe line search [PDF]

Journal of Computational and Applied Mathematics, 2021
. The method of the nonlinear conjugate gradient is widely used in solving large-scale unconstrained optimization since been proven in solving optimization problems without using large memory storage.
Basri, Srimazzura, Japri, Nur Athira, Mamat, Mustafa   +2 more
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The sufficient descent condition of nonlinear conjugate gradient method [PDF]

International Journal of Engineering & Technology, 2018
Non-linear conjugate gradient methods has been widely used instrumental in solving large scale optimization. These methods has been proved that only required very low memory other than its numerical efficiency.
Basri, Sri Mazzura, Ghazali, Puspa Liza, Mamat, Mustafa   +2 more
core   +3 more sources

Modified nonlinear conjugate gradient method with sufficient descent condition for unconstrained optimization [PDF]

Journal of Inequalities and Applications, 2011
In this paper, an efficient modified nonlinear conjugate gradient method for solving unconstrained optimization problems is proposed. An attractive property of the modified method is that the generated direction in each step is always descending without ...
Liu Jinkui, Wang Shaoheng
doaj   +2 more sources

A Sufficient Descent Property for a Different Parameter to Enhance Three-Term Method [PDF]

Al-Rafidain Journal of Computer Sciences and Mathematics, 2023
In this paper, we derive a new parameter µk-1 for the three-term CG (N3T) algorithm for solving unconstrained optimization problems. As demonstrated by its calculations and proof, the parameter µk-1 worth is determined by T , and the study ...
Ghada Al-Naemi, Samaa Al-bakri
doaj   +1 more source

Partial Davidon, Fletcher and Powell (DFP) of quasi newton method for unconstrained optimization

Tikrit Journal of Pure Science, 2023
The nonlinear Quasi-newton methods is widely used in unconstrained optimization. However, In this paper, we developing new quasi-Newton method for solving unconstrained optimization problems.
Basheer M. Salih, Khalil K. Abbo, Zeyad M. Abdullah   +2 more
doaj   +1 more source

A New Hybrid of DY and CGSD Conjugate Gradient Methods for Solving Unconstrained Optimization Problems

Tikrit Journal of Pure Science, 2021
In this article, we present a new hybrid conjugate gradient method for solving large Scale in unconstrained optimization problems. This method is a convex combination of Dai-Yuan conjugate gradient and Andrei- sufficient descent condition, satisfies the
Zeyad Mohammed Abdullah, Iman Khalid Jamalaldeen   +1 more
doaj   +1 more source

Partial Pearson-two (PP2) of quasi newton method for unconstrained optimization

Tikrit Journal of Pure Science, 2023
In this paper, we developing new quasi-Newton method for solving unconstrained optimization problems .The nonlinear Quasi-newton methods is widely used in unconstrained optimization[1]. However,.
Basheer M. Salih, Khalil K. Abbo, Zeyad M. Abdullah   +2 more
doaj   +1 more source

The spectral form of the Dai-Yuan conjugate gradient algorithm [PDF]

المجلة العراقية للعلوم الاحصائية, 2011
Conjugate Gradient (CG) methods comprise a class of unconstrained optimization algorithms which are characterized by low memory requirements and strong local and global convergence properties.
Abdul-Ghafoor J. Salem, Khalil K. Abbo
doaj   +1 more source

Conjugate gradient methods with sufficient descent condition for large-scale unconstrained optimization [PDF]

AIP Conference Proceedings, 2014
In this paper, we make a modification to the standard conjugate gradient method so that its search direction satisfies the sufficient descent condition. We prove that the modified conjugate gradient method is globally convergent under Armijo line search. Numerical results show that the proposed conjugate gradient method is efficient compared to some of
Mei Mei Ling, Wah June Leong
openaire   +1 more source

A Sufficient Descent 3-Term Conjugate Gradient Method for Unconstrained Optimization Algorithm

Tikrit Journal of Pure Science, 2023
In recent years, 3-term conjugate gradient algorithms (TT-CG) have sparked interest for large scale unconstrained optimization algorithms due to appealing practical factors, such as simple computation, low memory requirement, better sufficient descent ...
Ghada Moayid Al-Naemi, Samaa AbdulQader
doaj   +1 more source