An iterative algorithm for random generalized nonlinear mixed variational inclusions for random fuzzy mappings

In this paper, we consider the random generalized nonlinear mixed variational inclusions for random fuzzy mappings and define an iterative algorithm for finding the approximate solutions of this class of variational inclusions. We also establish that the approximate solutions obtained by our algorit...

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Bibliographic Details
Published in:Applied mathematics and computation 2005-08, Vol.167 (2), p.1400-1411
Main Authors: Ahmad, Rais, Bazán, Fabián Flores
Format: Article
Language:English
Subjects:
Algorithm
Calculus of variations and optimal control
Exact sciences and technology
Mathematical analysis
Mathematics
Numerical analysis
Numerical analysis. Scientific computation
Numerical methods in mathematical programming, optimization and calculus of variations
Numerical methods in optimization and calculus of variations
Random fuzzy mappings
Relaxed Lipschitz operator
Relaxed monotone operators
Sciences and techniques of general use
Variational inclusions
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Summary:In this paper, we consider the random generalized nonlinear mixed variational inclusions for random fuzzy mappings and define an iterative algorithm for finding the approximate solutions of this class of variational inclusions. We also establish that the approximate solutions obtained by our algorithm converge to the exact solution of the random generalized nonlinear mixed variational inclusions for random fuzzy mappings.
ISSN:0096-3003
1873-5649
DOI:10.1016/j.amc.2004.08.025