An inertial iterative method for solving split monotone inclusion problems in Hilbert spaces
Date
2024
Authors
Mebawondu, Akindele Adebayo
Sunday, Akunna Sunsan
Narain, Ojen Kumar
Maharaj, Adhir
Journal Title
Journal ISSN
Volume Title
Publisher
American Institute of Mathematical Sciences (AIMS)
Abstract
The purpose of this work is to introduce and study a new type of
a relaxed extrapolation iterative method for approximating the solution of a
split monotone inclusion problem in the framework of Hilbert spaces. More so,
we establish a strong convergence theorem of the proposed iterative method
under the assumption that the set-valued operator is maximal monotone and
the single-valued operator is Lipschitz continuous monotone which is weaker
assumption unlike other methods in which the single-valued is inverse strongly
monotone. We emphasize that the value of the Lipschitz constant is not re-
quired for the iterative technique to be implemented, and during computation,
the Lipschitz continuity was not used. Lastly, we present an application and
also some numerical experiments to show the e ciency and the applicability
of our proposed iterative method.
Description
Keywords
Hilbert Spaces, 0102 Applied Mathematics, 0103 Numerical and Computational Mathematics, 4901 Applied mathematics, Iterative method, Split monotone inclusion problem, Hilbert space, Lipschitz
Citation
Mebawondu, A.A. et al. 2024. An inertial iterative method for solving split monotone inclusion problems in Hilbert spaces. Numerical Algebra, Control and Optimization: 1-19. doi:10.3934/naco.2024039
DOI
10.3934/naco.2024039