Yosida Approximation Iterative Methods for Split Monotone Variational Inclusion Problems
Author(s) -
Mohammad Dilshad,
A. F. Aljohani,
Mohammad Akram,
Ahmed A. Khidir
Publication year - 2022
Publication title -
journal of function spaces
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 28
eISSN - 2314-8896
pISSN - 2314-8888
DOI - 10.1155/2022/3665713
Subject(s) - monotone polygon , hilbert space , mathematics , convergence (economics) , norm (philosophy) , iterative method , operator (biology) , discrete mathematics , algorithm , pure mathematics , biochemistry , chemistry , geometry , repressor , political science , transcription factor , law , economics , gene , economic growth
In this paper, we present two iterative algorithms involving Yosida approximation operators for split monotone variational inclusion problems ( S p MVIP ). We prove the weak and strong convergence of the proposed iterative algorithms to the solution of S p MVIP in real Hilbert spaces. Our algorithms are based on Yosida approximation operators of monotone mappings such that the step size does not require the precalculation of the operator norm. To show the reliability and accuracy of the proposed algorithms, a numerical example is also constructed.
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