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Main Authors: Dittrich, Bastian, Wachsmuth, Daniel
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2403.19437
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author Dittrich, Bastian
Wachsmuth, Daniel
author_facet Dittrich, Bastian
Wachsmuth, Daniel
contents We consider constraints on the measure of the support for integrable functions on arbitrary measure spaces. It is shown that this non-convex and discontinuous constraint can be equivalently reformulated by the difference of two convex and continuous functions, namely the $L^1$-norm and the so-called largest-$K$-norm. The largest-$K$-norm is studied and its convex subdifferential is derived. A corresponding penalty method is proposed, and its numerical solution by a DC method is investigated. Numerical experiments for two example problems, including a sparse optimal control problem, are presented.
format Preprint
id arxiv_https___arxiv_org_abs_2403_19437
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The Largest-$K$-Norm for General Measure Spaces and a DC Reformulation for $L^0$-Constrained Problems in Function Spaces
Dittrich, Bastian
Wachsmuth, Daniel
Optimization and Control
49K20, 49M20
We consider constraints on the measure of the support for integrable functions on arbitrary measure spaces. It is shown that this non-convex and discontinuous constraint can be equivalently reformulated by the difference of two convex and continuous functions, namely the $L^1$-norm and the so-called largest-$K$-norm. The largest-$K$-norm is studied and its convex subdifferential is derived. A corresponding penalty method is proposed, and its numerical solution by a DC method is investigated. Numerical experiments for two example problems, including a sparse optimal control problem, are presented.
title The Largest-$K$-Norm for General Measure Spaces and a DC Reformulation for $L^0$-Constrained Problems in Function Spaces
topic Optimization and Control
49K20, 49M20
url https://arxiv.org/abs/2403.19437