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 approximate solution, if the sequence of computational errors is bounded from above by a constant.

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Journal
Axioms
Published
2026-09-04
DOI
https://doi.org/10.3390/axioms15090662
Primary Topic
Optimization and Variational Analysis
Type
article
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article

VariationalInequalities Induced by Set-Valued Mappings

Alexander J. Zaslavski
Axioms
Optimization and Variational Analysis
article

VariationalInequalities Induced by Set-Valued Mappings

Alexander J. Zaslavski
article en

Abstract

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 approximate solution, if the sequence of computational errors is bounded from above by a constant.

AxiomsVol. 15(9)
Technion – Israel Institute of Technology (IL)
Reduced inequalities
Openalex Percentile: Top 8%
Optimization and Variational Analysis
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