Smoothness of Subgradient Mappings and Its Applications in Parametric Optimization

Fuente: arXiv
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Main Authors: Hang, Nguyen T. V., Sarabi, Ebrahim
Format: Preprint
Published: 2023
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_version_ 1866914996010614784
author Hang, Nguyen T. V.
Sarabi, Ebrahim
author_facet Hang, Nguyen T. V.
Sarabi, Ebrahim
contents We demonstrate that the concept of strict proto-differentiability of subgradient mappings can play a similar role as smoothness of the gradient mapping of a function in the study of subgradient mappings of prox-regular functions. We then show that metric regularity and strong metric regularity are equivalent for a class of generalized equations when this condition is satisfied. For a class of composite functions, called C2-decomposable, we argue that strict proto-differentiability can be characterized via a simple relative interior condition. Leveraging this observation, we present a characterization of the continuous differentiability of the proximal mapping for this class of function via a certain relative interior condition. Applications to the study of strong metric regularity of the KKT system of a class of composite optimization problems are also provided.
format Preprint
id arxiv_https___arxiv_org_abs_2311_06026
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Smoothness of Subgradient Mappings and Its Applications in Parametric Optimization
Hang, Nguyen T. V.
Sarabi, Ebrahim
Optimization and Control
90C31, 65K99, 49J52, 49J53
We demonstrate that the concept of strict proto-differentiability of subgradient mappings can play a similar role as smoothness of the gradient mapping of a function in the study of subgradient mappings of prox-regular functions. We then show that metric regularity and strong metric regularity are equivalent for a class of generalized equations when this condition is satisfied. For a class of composite functions, called C2-decomposable, we argue that strict proto-differentiability can be characterized via a simple relative interior condition. Leveraging this observation, we present a characterization of the continuous differentiability of the proximal mapping for this class of function via a certain relative interior condition. Applications to the study of strong metric regularity of the KKT system of a class of composite optimization problems are also provided.
title Smoothness of Subgradient Mappings and Its Applications in Parametric Optimization
topic Optimization and Control
90C31, 65K99, 49J52, 49J53
url https://arxiv.org/abs/2311.06026