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Autores principales: Nie, Jiawang, Qu, Zheng, Tang, Xindong, Zhang, Linghao
Formato: Preprint
Publicado: 2024
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Acceso en línea:https://arxiv.org/abs/2406.06882
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author Nie, Jiawang
Qu, Zheng
Tang, Xindong
Zhang, Linghao
author_facet Nie, Jiawang
Qu, Zheng
Tang, Xindong
Zhang, Linghao
contents This paper studies the sparse Moment-SOS hierarchy of relaxations for solving sparse polynomial optimization problems. We show that this sparse hierarchy is tight if and only if the objective can be written as a sum of sparse nonnegative polynomials, each of which belongs to the sum of the ideal and quadratic module generated by the corresponding sparse constraints. Based on this characterization, we give several sufficient conditions for the sparse Moment-SOS hierarchy to be tight. In particular, we show that this sparse hierarchy is tight under some assumptions such as convexity, optimality conditions or finiteness of constraining sets.
format Preprint
id arxiv_https___arxiv_org_abs_2406_06882
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Characterization for Tightness of the Sparse Moment-SOS Hierarchy
Nie, Jiawang
Qu, Zheng
Tang, Xindong
Zhang, Linghao
Optimization and Control
This paper studies the sparse Moment-SOS hierarchy of relaxations for solving sparse polynomial optimization problems. We show that this sparse hierarchy is tight if and only if the objective can be written as a sum of sparse nonnegative polynomials, each of which belongs to the sum of the ideal and quadratic module generated by the corresponding sparse constraints. Based on this characterization, we give several sufficient conditions for the sparse Moment-SOS hierarchy to be tight. In particular, we show that this sparse hierarchy is tight under some assumptions such as convexity, optimality conditions or finiteness of constraining sets.
title A Characterization for Tightness of the Sparse Moment-SOS Hierarchy
topic Optimization and Control
url https://arxiv.org/abs/2406.06882