Global convergence via descent modified three-term conjugate gradient projection algorithm with applications to signal recovery

In this article, we propose a three-term conjugate gradient projection algorithm for solving constrained monotone nonlinear equations. The global convergence of the algorithm was established under suitable assumptions. Numerical examples presented indicate that the algorithm has a very good performa...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Results in applied mathematics Ročník 4; s. 100069
Hlavní autoři: Abubakar, Auwal Bala, Kumam, Poom, Awwal, Aliyu Muhammed
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.12.2019
Elsevier
Témata:
52A20
65K05
90C52
90C56
Conjugate gradient method
Convex constraints
Non-linear equations
Projection method
Conjugate gradient method
Projection method
52A20
Non-linear equations
65K05
90C52
90C56
Convex constraints
ISSN:2590-0374, 2590-0374
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:In this article, we propose a three-term conjugate gradient projection algorithm for solving constrained monotone nonlinear equations. The global convergence of the algorithm was established under suitable assumptions. Numerical examples presented indicate that the algorithm has a very good performance in solving monotone nonlinear equations. Finally, the algorithm is applied to solve signal recovery problems.
ISSN:2590-0374
2590-0374
DOI:10.1016/j.rinam.2019.100069