Convergence of Some Iterative Algorithms for System of Generalized Set-Valued Variational Inequalities
Author(s) -
Mohammad Akram,
Aysha Khan,
Mohammad Dilshad
Publication year - 2021
Publication title -
journal of function spaces
Language(s) - English
Resource type - Journals
eISSN - 2314-8896
pISSN - 2314-8888
DOI - 10.1155/2021/6674349
Subject(s) - variational inequality , equivalence (formal languages) , convergence (economics) , mathematics , hilbert space , iterative method , algorithm , banach space , set (abstract data type) , projection (relational algebra) , contraction (grammar) , computer science , discrete mathematics , pure mathematics , medicine , economics , programming language , economic growth
In this article, we consider and study a system of generalized set-valued variational inequalities involving relaxed cocoercive mappings in Hilbert spaces. Using the projection method and Banach contraction principle, we prove the existence of a solution for the considered problem. Further, we propose an iterative algorithm and discuss its convergence. Moreover, we establish equivalence between the system of variational inequalities and altering points problem. Some parallel iterative algorithms are proposed, and the strong convergence of the sequences generated by these iterative algorithms is discussed. Finally, a numerical example is constructed to illustrate the convergence analysis of the proposed parallel iterative algorithms.
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