<div class="csl-bib-body">
<div class="csl-entry">Osmolovskii, N. P., & Veliov, V. (2022). On the strong metric subregularity in mathematical programming. <i>Control and Cybernetics</i>, <i>50</i>(4), 457–471. https://doi.org/10.2478/candc-2021-0027</div>
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dc.identifier.issn
0324-8569
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/142127
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dc.description.abstract
This note presents sufficient conditions for the property of strong metric subregularity (SMSr) of the system of first order optimality conditions for a mathematical programming problem in a Banach space (the Karush-Kuhn-Tucker conditions). The constraints of the problem consist of equations in a Banach space setting and a finite number of inequalities. The conditions, under which SMSr is proven, assume that the data are twice continuously Fréchet differentiable, the strict Mangasarian-Fromovitz constraint qualification is satisfied, and the second-order sufficient optimality condition holds. The obtained result extends the one known for finite-dimensional problems. Although the applicability of the result is limited to the Banach space setting (due to the twice Fréchet differentiability assumptions and the finite number of inequality con-straints), the paper can be valuable due to the self-contained expo-sition, and provides a ground for extensions. One possible extension was recently implemented in Osmolovskii and Veliov (2021).
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dc.description.sponsorship
Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
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dc.language.iso
en
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dc.publisher
Systems Reseach Institute of the Polish Academy of Sciences
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dc.relation.ispartof
Control and Cybernetics
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dc.subject
Karush-Kuhn-Tucker conditions
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dc.subject
mathematical programming
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dc.subject
metric regularity
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dc.subject
optimization
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dc.title
On the strong metric subregularity in mathematical programming