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Preprint . 2008
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https://dx.doi.org/10.48550/ar...
Article . 2008
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Regular Maximal Monotone Multifunctions and Enlargements

Regular maximal monotone multifunctions and enlargements
descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Jan 2008Embargo end date: 01 Jan 2008Publisher:arXiv
Authors: Verona, Andrei; Verona, Maria Elena;

doi: 10.48550/arxiv.0806.1307

arXiv: 0806.1307

Regular Maximal Monotone Multifunctions and Enlargements

Abstract

In this note we use recent results concerning the sum theorem for maximal monotone multifunctions in general Banach spaces to find new characterizations and properties of regular maximal monotone multifunctions and then use these to describe the domain of certain enlargements.

6 pages

Related Organizations
Keywords

Nonsmooth analysis, Functional Analysis (math.FA), maximal monotone multifunctions, Mathematics - Functional Analysis, 47H05, 46N10, 42A50, FOS: Mathematics, Applications of operator theory in optimization, convex analysis, mathematical programming, economics, regular maximal monotone multifunctions, Monotone operators and generalizations, enlargements of maximal monotone multifunctions

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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!
0
Average
Average
Average
Green