A Bilevel Hierarchy of Strengthened Complex Moment Relaxations for Complex Polynomial Optimization

Fuente: arXiv
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1. Verfasser: Wang, Jie
Format: Preprint
Veröffentlicht: 2024
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_version_ 1866913827564552192
author Wang, Jie
author_facet Wang, Jie
contents This paper proposes a bilevel hierarchy of strengthened complex moment relaxations for complex polynomial optimization. The key trick entails considering a class of positive semidefinite conditions that arise naturally in characterizing the normality of the so-called shift operators. The relaxation problem in this new hierarchy is parameterized by the usual relaxation order as well as an extra normal order, thus providing more space of flexibility to balance the strength of relaxation and computational complexity. Extensive numerical experiments demonstrate the superior performance of the new hierarchy compared to the usual hierarchy.
format Preprint
id arxiv_https___arxiv_org_abs_2404_07125
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Bilevel Hierarchy of Strengthened Complex Moment Relaxations for Complex Polynomial Optimization
Wang, Jie
Optimization and Control
Primary, 90C23, Secondary, 90C22, 90C26
This paper proposes a bilevel hierarchy of strengthened complex moment relaxations for complex polynomial optimization. The key trick entails considering a class of positive semidefinite conditions that arise naturally in characterizing the normality of the so-called shift operators. The relaxation problem in this new hierarchy is parameterized by the usual relaxation order as well as an extra normal order, thus providing more space of flexibility to balance the strength of relaxation and computational complexity. Extensive numerical experiments demonstrate the superior performance of the new hierarchy compared to the usual hierarchy.
title A Bilevel Hierarchy of Strengthened Complex Moment Relaxations for Complex Polynomial Optimization
topic Optimization and Control
Primary, 90C23, Secondary, 90C22, 90C26
url https://arxiv.org/abs/2404.07125