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Main Authors: González-Rodríguez, Brais, Naoum-Sawaya, Joe
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2402.06336
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author González-Rodríguez, Brais
Naoum-Sawaya, Joe
author_facet González-Rodríguez, Brais
Naoum-Sawaya, Joe
contents This paper presents a new approach to quadrify a polynomial programming problem, i.e. reduce the polynomial program to a quadratic program, before solving it. The proposed approach, QUAD-RLT, exploits the Reformulation-Linearization Technique (RLT) structure to obtain smaller relaxations that can be solved faster and still provide high quality bounds. QUAD-RLT is compared to other quadrification techniques that have been previously discussed in the literature. The paper presents theoretical as well as computational results showing the advantage of QUAD-RLT compared to other quadrification techniques. Furthermore, rather than quadrifying a polynomial program, QUAD-RLT is generalized to reduce the degree of the polynomial to any degree. Computational results show that reducing the degree of the polynomial to a degree that is higher than two provides computational advantages in certain cases compared to fully quadrifying the problem. Finally, QUAD-RLT along with other quadrification/degree reduction schemes are implemented and made available in the freely available software RAPOSa.
format Preprint
id arxiv_https___arxiv_org_abs_2402_06336
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Degree reduction techniques for polynomial optimization problems
González-Rodríguez, Brais
Naoum-Sawaya, Joe
Optimization and Control
This paper presents a new approach to quadrify a polynomial programming problem, i.e. reduce the polynomial program to a quadratic program, before solving it. The proposed approach, QUAD-RLT, exploits the Reformulation-Linearization Technique (RLT) structure to obtain smaller relaxations that can be solved faster and still provide high quality bounds. QUAD-RLT is compared to other quadrification techniques that have been previously discussed in the literature. The paper presents theoretical as well as computational results showing the advantage of QUAD-RLT compared to other quadrification techniques. Furthermore, rather than quadrifying a polynomial program, QUAD-RLT is generalized to reduce the degree of the polynomial to any degree. Computational results show that reducing the degree of the polynomial to a degree that is higher than two provides computational advantages in certain cases compared to fully quadrifying the problem. Finally, QUAD-RLT along with other quadrification/degree reduction schemes are implemented and made available in the freely available software RAPOSa.
title Degree reduction techniques for polynomial optimization problems
topic Optimization and Control
url https://arxiv.org/abs/2402.06336