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Local optimality for stationary points of group zero-norm regularized problems and equivalent surrogates.

Authors :
Pan, Shaohua
Liang, Ling
Liu, Yulan
Source :
Optimization. Sep2023, Vol. 72 Issue 9, p2311-2343. 33p.
Publication Year :
2023

Abstract

This paper focuses on the local optimality for the stationary points of the composite group zero-norm regularized problem and its equivalent surrogates. First, by using the structure of the composite group zero-norm and its second subderivative characterization, we achieve several local optimal conditions for a stationary point of the group zero-norm regularized problem. Then, we obtain a family of equivalent surrogates for the group zero-norm regularized problem from a class of global exact penalties of its MPEC reformulation, established under the calmness of a partial perturbation to the composite group zero-norm constraint system. For the stationary points of these surrogates, we study their local optimality to the surrogates themselves and the group zero-norm regularized problem. The local optimality conditions obtained in this work not only recover the existing ones for zero-norm regularized problems, but also provide new criteria to judge the local optimality of a stationary point yielded by an algorithm for solving the corresponding surrogate problems. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02331934
Volume :
72
Issue :
9
Database :
Academic Search Index
Journal :
Optimization
Publication Type :
Academic Journal
Accession number :
171107146
Full Text :
https://doi.org/10.1080/02331934.2022.2057853