Isolated Calmness in Regularized Convex Optimization

Fuente: arXiv
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Main Authors: Nghia, Tran T. A., Pham, Huy N.
Format: Preprint
Published: 2026
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author Nghia, Tran T. A.
Pham, Huy N.
author_facet Nghia, Tran T. A.
Pham, Huy N.
contents This paper studies the isolated calmness of the optimal solution mapping and the associated Lagrange system for regularized convex composite optimization problems. Several necessary and sufficient conditions for this property are established. These conditions are geometric in nature and relatively simple to verify. To support the analysis, we also develop a so-called zero-product property for second-order structures, namely the graphical derivative of the subgradient mapping of convex functions.
format Preprint
id arxiv_https___arxiv_org_abs_2601_18038
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Isolated Calmness in Regularized Convex Optimization
Nghia, Tran T. A.
Pham, Huy N.
Optimization and Control
49J52, 49J53, 49K40, 90C25, 90C31
This paper studies the isolated calmness of the optimal solution mapping and the associated Lagrange system for regularized convex composite optimization problems. Several necessary and sufficient conditions for this property are established. These conditions are geometric in nature and relatively simple to verify. To support the analysis, we also develop a so-called zero-product property for second-order structures, namely the graphical derivative of the subgradient mapping of convex functions.
title Isolated Calmness in Regularized Convex Optimization
topic Optimization and Control
49J52, 49J53, 49K40, 90C25, 90C31
url https://arxiv.org/abs/2601.18038