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Journal of Optimization Theory and Applications
Article . 2021 . Peer-reviewed
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Article . 2021
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https://dx.doi.org/10.1007/s10...
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Variance-Based Single-Call Proximal Extragradient Algorithms for Stochastic Mixed Variational Inequalities

Variance-based single-call proximal extragradient algorithms for stochastic mixed variational inequalities
descriptionPublicationkeyboard_double_arrow_right Article 24 Jun 2021 English Publisher:Springer Science and Business Media LLCJournal:Journal of Optimization Theory and Applications, volume 190, pages 393-427 (issn: 0022-3239, eissn: 1573-2878, Copyright policy )
Authors: Yang, Zhen-Ping; Lin, Gui-Hua;

doi: 10.1007/s10957-021-01882-3

Variance-Based Single-Call Proximal Extragradient Algorithms for Stochastic Mixed Variational Inequalities

Abstract

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Keywords

variance reduction, Stochastic programming, stochastic mixed variational inequality, Probabilistic methods, stochastic differential equations, Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming), Numerical methods for variational inequalities and related problems, single-call, proximal extragradient algorithm

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
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