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A. Zaslavski

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Open access Sep 2026

VariationalInequalities Induced by Set-Valued Mappings

In an infinite-dimensional Hilbert space, we investigate a method for finding a solution of a variational inequality induced by an inverse strongly monotone set-valued mapping. Our results are established in the presence of summable and nonsummable computational errors. We show that our algorithm generates a good appro...

A. Zaslavski · 0 citations
Open access Aug 2026

The Dynamic String-Averaging Method for Inverse Strongly-Monotone Operators with Summable Errors

In the work by W. Takahashi and M. Toyoda (2003) it was introduced and studied an iterative process for solving a variational inequality problem which is induced by a inverse strongly-monotone mapping. They showed the weak convergence of the iteration process. Recently we established that most of exact iterates of the...

A. Zaslavski · 0 citations

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