The pseudo-Boolean polytope and polynomial-size extended formulations for binary polynomial optimization
Alberto Del Pia, Aida Khajavirad

TL;DR
This paper introduces the pseudo-Boolean polytope and provides conditions for polynomial-size extended formulations, advancing the understanding of relaxations for binary polynomial optimization problems.
Contribution
It unifies and extends previous results by representing the pseudo-Boolean polytope through signed hypergraphs and establishing conditions for polynomial-size extended formulations.
Findings
Polytope representation via signed hypergraphs
Sufficient conditions for polynomial-size extended formulations
Unification of prior results on binary polynomial optimization
Abstract
With the goal of obtaining strong relaxations for binary polynomial optimization problems, we introduce the pseudo-Boolean polytope defined as the convex hull of the set of binary points satisfying a collection of equations containing pseudo-Boolean functions. By representing the pseudo-Boolean polytope via a signed hypergraph, we obtain sufficient conditions under which this polytope has a polynomial-size extended formulation. Our new framework unifies and extends all prior results on the existence of polynomial-size extended formulations for the convex hull of the feasible region of binary polynomial optimization problems of degree at least three.
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Taxonomy
TopicsAdvanced Optimization Algorithms Research · Optical Network Technologies · Advanced Optical Network Technologies
