The Boolean polynomial polytope with multiple choice constraints
Abstract
We consider a class of - polynomial programming termed multiple choice polynomial programming (MCPP) where the constraint requires exact one component per subset of the partition to be after all the entries are partitioned. Compared to the unconstrained counterpart, there are few polyhedral studies of MCPP in general form. This paper serves as the first attempt to propose a polytope associated with a hypergraph to study MCPP, which is the convex hull of - vectors satisfying multiple choice constraints and production constraints. With the help of the decomposability property, we obtain an explicit half-space representation of the MCPP polytope when the underlying hypergraph is -acyclic by induction on the number of hyperedges, which is an analogy of the acyclicity results on the multilinear polytope by Del Pia and Khajavirad (SIAM J Optim 28 (2018) 1049) when the hypergraph is -acyclic. We also present a necessary and sufficient condition for the inequalities lifted from the facet-inducing ones for the multilinear polytope to be still facet-inducing for the MCPP polytope. This result covers the particular cases by B\"armann, Martin and Schneider (SIAM J Optim 33 (2023) 2909).
Cite
@article{arxiv.2405.14207,
title = {The Boolean polynomial polytope with multiple choice constraints},
author = {Sihong Shao and Yishan Wu},
journal= {arXiv preprint arXiv:2405.14207},
year = {2024}
}
Comments
41 pages, submitted for publication on June 19 2024