Strong metric (sub)regularity in optimal control

Fuente: arXiv
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Autori principali: Jork, Nicolai A., Osmolovskii, Nikolai P., Veliov, Vladimir M.
Natura: Preprint
Pubblicazione: 2024
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author Jork, Nicolai A.
Osmolovskii, Nikolai P.
Veliov, Vladimir M.
author_facet Jork, Nicolai A.
Osmolovskii, Nikolai P.
Veliov, Vladimir M.
contents This is mainly a survey on the properties of Strong Metric Regularity (SMR) and Strong Metric subRegularity (SMsR) of mappings representing first order optimality conditions (so-called optimality mappings) of optimization problems in infinite dimensional spaces. The focus is on the optimality mappings associated with optimal control problems for ODE systems or PDEs. We especially emphasize an extension of the concepts of SMR and SMsR which involves two metrics either in the domain or in the image spaces. The paper shows the relevance of this extension in optimal control.
format Preprint
id arxiv_https___arxiv_org_abs_2409_19452
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Strong metric (sub)regularity in optimal control
Jork, Nicolai A.
Osmolovskii, Nikolai P.
Veliov, Vladimir M.
Optimization and Control
49K40, 90C31, 49M05
This is mainly a survey on the properties of Strong Metric Regularity (SMR) and Strong Metric subRegularity (SMsR) of mappings representing first order optimality conditions (so-called optimality mappings) of optimization problems in infinite dimensional spaces. The focus is on the optimality mappings associated with optimal control problems for ODE systems or PDEs. We especially emphasize an extension of the concepts of SMR and SMsR which involves two metrics either in the domain or in the image spaces. The paper shows the relevance of this extension in optimal control.
title Strong metric (sub)regularity in optimal control
topic Optimization and Control
49K40, 90C31, 49M05
url https://arxiv.org/abs/2409.19452