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Porosity and Variational Principles

Porosity and variational principles
Authors: MARCHINI, ELSA MARIA;

Porosity and Variational Principles

Abstract

The author presents a modification of a variational principle of \textit{A. D. Ioffe} and \textit{A. J. Zaslavski} [SIAM J. Control Optimization 38, No.~2, 566-581 (2000; Zbl 0997.49023)] in which the conclusion of the result is strengthened to read that the complement of the well-posed optimization problems in a given class is \(\sigma\)-porous in the class, instead of being only a first Baire category set in the class. The notion of a \(\sigma\)-porous set is a strict refinement of the notion of first Baire category set in any metric space without isolated points as well as a strict refinement of the Lebesgue measure zero set in finite dimensions. The modification is then applied to several concrete classes of optimization problems.

Countries
Italy, Bulgaria
Keywords

variational principles, porosity, Porous Sets, well-posed optimization problem, Well-posed Optimization Problems, Sensitivity, stability, well-posedness, Porosity, Variational Principles, Set-valued and variational analysis

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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
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