English

Optimization over the Boolean Hypercube via Sums of Nonnegative Circuit Polynomials

Data Structures and Algorithms 2018-02-28 v1 Computational Complexity Algebraic Geometry Optimization and Control

Abstract

Various key problems from theoretical computer science can be expressed as polynomial optimization problems over the boolean hypercube. One particularly successful way to prove complexity bounds for these types of problems are based on sums of squares (SOS) as nonnegativity certificates. In this article, we initiate the analysis of optimization problems over the boolean hypercube via a recent, alternative certificate called sums of nonnegative circuit polynomials (SONC). We show that key results for SOS based certificates remain valid: First, for polynomials, which are nonnegative over the nn-variate boolean hypercube with constraints of degree dd there exists a SONC certificate of degree at most n+dn+d. Second, if there exists a degree dd SONC certificate for nonnegativity of a polynomial over the boolean hypercube, then there also exists a short degree dd SONC certificate, that includes at most nO(d)n^{O(d)} nonnegative circuit polynomials.

Cite

@article{arxiv.1802.10004,
  title  = {Optimization over the Boolean Hypercube via Sums of Nonnegative Circuit Polynomials},
  author = {Mareike Dressler and Adam Kurpisz and Timo de Wolff},
  journal= {arXiv preprint arXiv:1802.10004},
  year   = {2018}
}

Comments

19 pages, 1 figure

R2 v1 2026-06-23T00:35:26.673Z