Adaptive Proximal Method for Variational Inequalities
Fedor Stonyakin, Alexander Gasnikov, Pavel Dvurechensky, Alexander, Titov

TL;DR
This paper introduces an adaptive proximal method for solving variational inequalities with Lipschitz and Holder-continuous fields, providing iteration estimates and generalizations for broader applicability.
Contribution
It presents a novel adaptive proximal algorithm for variational inequalities, including extensions to Holder-continuous fields, with iteration complexity analysis.
Findings
Provides iteration estimates for solution accuracy.
Generalizes the method to Holder-continuous fields.
Demonstrates effectiveness of the adaptive approach.
Abstract
A new adaptive approach is proposed for variational inequalities with a Lipschitz-continuous field. Estimates of the necessary number of iterations are obtained to achieve a given quality of the variational inequality solution. A generalization of the method under consideration to the case of a Holder-continuous field is considered.
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Taxonomy
TopicsHeat Transfer and Mathematical Modeling · Optimization and Variational Analysis · Diverse Industrial Engineering Technologies
