Robinson stability of parametric constraint systems via variational analysis

This paper investigates a well-posedness property of parametric constraint systems which we call Robinson stability. Based on advanced tools of variational analysis and generalized differentiation, we derive first- and second-order conditions for this property under minimal constraint qualifications and establish relationships of Robinson stability with other well-posedness properties in variational analysis and optimization. The results obtained are applied to robust Lipschitzian stability of parametric variational systems.

Авторы
Gfrerer H.1 , Mordukhovich B.S. 2, 3
Номер выпуска
1
Язык
Английский
Страницы
438-465
Статус
Опубликовано
Том
27
Год
2017
Организации
  • 1 Institute of Computational Mathematics, Johannes Kepler University Linz, Linz, A-4040, Austria
  • 2 Department of Mathematics, Wayne State University, Detroit, MI 48202, United States
  • 3 RUDN University, Moscow, 117198, Russian Federation
Ключевые слова
First- and second-order generalized differentiation; Metric regularity and subregularity; Parametric constraint systems; Robinson stability; Variational analysis
Дата создания
19.10.2018
Дата изменения
19.10.2018
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/6085/
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