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📄 Peer-Reviewed Academic Output Year: 2024 👁️ 1 Click

AN INERTIAL ITERATIVE METHOD FOR SOLVING SPLIT MONOTONE INCLUSION PROBLEMS IN HILBERT SPACES

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Published in: Numerical Algebra, Control and Optimization

Abstract & Summary

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 efficiency and the applicability
of our proposed iterative method.

Publication Details

📋 APA 7th Edition Citation
ADEBAYO MEBAWONDU, A. (2024). AN INERTIAL ITERATIVE METHOD FOR SOLVING SPLIT MONOTONE INCLUSION PROBLEMS IN HILBERT SPACES. Numerical Algebra, Control and Optimization. https://doi.org/doi:10.3934/naco.2024039