On the Stationary Duality of Structural Composite Cardinality Optimization

Fuente: arXiv
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Main Authors: Zhang, Penghe, Xiu, Naihua, Qi, Houduo
Format: Preprint
Published: 2026
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author Zhang, Penghe
Xiu, Naihua
Qi, Houduo
author_facet Zhang, Penghe
Xiu, Naihua
Qi, Houduo
contents Simple cardinality refers to counting nonzero elements of an independent variable satisfying certain properties. Composite cardinality is a simple counting process composited with an affine mapping, and is therefore more complicated than the simple cardinality. We study the composite cardinality optimization problem (CCOP) with structures covering a wide range of applications. Through the use of the stationary duality, we reduce the composite counting to simple counting, and thereby obtain a dual formulation of CCOP. For both primal and dual problems, we investigate the sufficient conditions for the existence of global solutions. Those conditions are validated on representative examples from existing literature. We then show that local solutions of the primal and dual problems are equivalent to their stationary points. This result further helps us establish a one-to-one correspondences between primal and dual local solutions. We also demonstrate that the correspondence holds for a pair of global solutions to the primal and dual problems, provided that the dual weighted parameters are appropriately selected. The reported theoretical results lay foundation for developing numerical algorithms for CCOP in future.
format Preprint
id arxiv_https___arxiv_org_abs_2605_08684
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle On the Stationary Duality of Structural Composite Cardinality Optimization
Zhang, Penghe
Xiu, Naihua
Qi, Houduo
Optimization and Control
Simple cardinality refers to counting nonzero elements of an independent variable satisfying certain properties. Composite cardinality is a simple counting process composited with an affine mapping, and is therefore more complicated than the simple cardinality. We study the composite cardinality optimization problem (CCOP) with structures covering a wide range of applications. Through the use of the stationary duality, we reduce the composite counting to simple counting, and thereby obtain a dual formulation of CCOP. For both primal and dual problems, we investigate the sufficient conditions for the existence of global solutions. Those conditions are validated on representative examples from existing literature. We then show that local solutions of the primal and dual problems are equivalent to their stationary points. This result further helps us establish a one-to-one correspondences between primal and dual local solutions. We also demonstrate that the correspondence holds for a pair of global solutions to the primal and dual problems, provided that the dual weighted parameters are appropriately selected. The reported theoretical results lay foundation for developing numerical algorithms for CCOP in future.
title On the Stationary Duality of Structural Composite Cardinality Optimization
topic Optimization and Control
url https://arxiv.org/abs/2605.08684