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The concept of sums of nonnegative circuit polynomials (SONC) was recently introduced as a new certificate of nonnegativity especially for sparse polynomials. In this paper, we explore the relationship between nonnegative polynomials and…

Combinatorics · Mathematics 2021-04-06 Jie Wang

Certificates of polynomial nonnegativity can be used to obtain tight dual bounds for polynomial optimization problems. We consider Sums of Nonnegative Circuit (SONC) polynomials certificates, which are well suited for sparse problems since…

Optimization and Control · Mathematics 2022-11-28 Ksenia Bestuzheva , Ambros Gleixner , Helena Völker

In this paper, we prove that every SONC polynomial decomposes into a sum of nonnegative circuit polynomials with the same support, which reveals the advantage of SONC decompositions for certifying nonnegativity of sparse polynomials…

Combinatorics · Mathematics 2018-11-27 Jie Wang

Nonnegativity certificates can be used to obtain tight dual bounds for polynomial optimization problems. Hierarchies of certificate-based relaxations ensure convergence to the global optimum, but higher levels of such hierarchies can become…

Optimization and Control · Mathematics 2023-04-25 Ksenia Bestuzheva , Helena Völker , Ambros Gleixner

Finding the minimum of a multivariate real polynomial is a well-known hard problem with various applications. We present a polynomial time algorithm to approximate such lower bounds via sums of nonnegative circuit polynomials (SONC). As a…

Optimization and Control · Mathematics 2018-08-28 Henning Seidler , Timo de Wolff

Using the dual cone of sums of nonnegative circuits (SONC), we provide a relaxation of the global optimization problem to minimize an exponential sum and, as a special case, a multivariate real polynomial. Our approach builds on two key…

Optimization and Control · Mathematics 2020-10-23 Mareike Dressler , Janin Heuer , Helen Naumann , Timo de Wolff

For a non-empty, finite subset $\mathcal{A} \subseteq \mathbb{N}_0^n$, denote by $C_{\text{sonc}}(\mathcal{A}) \in \mathbb{R}[x_1, \ldots, x_n]$ the cone of sums of non-negative circuit polynomials with support $\mathcal{A}$. We derive a…

Optimization and Control · Mathematics 2019-09-25 Mareike Dressler , Helen Naumann , Thorsten Theobald

We present a branch-and-bound algorithm to improve the lower bounds obtained by SONC/SAGE. The running time is fixed-parameter tractable in the number of variables. Furthermore, we describe a new heuristic to obtain a candidate for the…

Optimization and Control · Mathematics 2021-06-01 Henning Seidler

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…

Data Structures and Algorithms · Computer Science 2018-02-28 Mareike Dressler , Adam Kurpisz , Timo de Wolff

A SONC polynomial is a sum of finitely many non-negative circuit polynomials, whereas a non-negative circuit polynomial is a non-negative polynomial whose support is a simplicial circuit. We show that there exist non-negative polynomials…

Optimization and Control · Mathematics 2021-08-05 Gennadiy Averkov

The second-order cone (SOC) is a class of simple convex cones and optimizing over them can be done more efficiently than with semidefinite programming. It is interesting both in theory and in practice to investigate which convex cones admit…

Optimization and Control · Mathematics 2025-04-29 Victor Magron , Jie Wang

The cone of sums of nonnegative circuits (SONCs) is a subset of the cone of nonnegative polynomials / exponential sums, which has been studied extensively in recent years. In this article, we construct a subset of the SONC cone which we…

Algebraic Geometry · Mathematics 2022-04-11 Janin Heuer , Timo de Wolff

The second-order cone is a class of simple convex cones and optimizing over them can be done more efficiently than with semidefinite programming. It is interesting both in theory and in practice to investigate which convex cones admit a…

Optimization and Control · Mathematics 2020-02-10 Jie Wang , Victor Magron

We provide two hybrid numeric-symbolic optimization algorithms, computing exact sums of nonnegative circuits (SONC) and sums of arithmetic-geometric-exponentials (SAGE) decompositions. Moreover, we provide a hybrid numeric-symbolic decision…

Symbolic Computation · Computer Science 2021-08-23 Victor Magron , Henning Seidler , Timo de Wolff

We provide a complete and explicit characterization of the exposed extreme rays of the cone of sums of nonnegative circuit (SONC) polynomials. The criterion we derive is purely combinatorial and depends only on the existence of certain…

Algebraic Geometry · Mathematics 2026-03-20 Mareike Dressler , Hongzhi Liao , Vera Roshchina

In this article, we combine sums of squares (SOS) and sums of nonnegative circuit (SONC) forms, two independent nonnegativity certificates for real homogeneous polynomials. We consider the convex cone SOS+SONC of forms that decompose into a…

Algebraic Geometry · Mathematics 2024-12-17 Mareike Dressler , Salma Kuhlmann , Moritz Schick

In this article, we propose a geometric programming method in order to compute lower bounds for real polynomials. We provide new sufficient conditions for polynomials to be nonnegative as well as to have a sum of binomial squares…

Optimization and Control · Mathematics 2016-02-26 Sadik Iliman , Timo de Wolff

In this article we combine two developments in polynomial optimization. On the one hand, we consider nonnegativity certificates based on sums of nonnegative circuit polynomials, which were recently introduced by the second and the third…

Optimization and Control · Mathematics 2018-06-06 Mareike Dressler , Sadik Iliman , Timo de Wolff

We study symmetric arithmetic circuits and improve on lower bounds given by Dawar and Wilsenach (ArXiv 2020). Their result showed an exponential lower bound of the permanent computed by symmetric circuits. We extend this result to show a…

Computational Complexity · Computer Science 2020-09-24 Christian Engels

The problem of optimizing over the cone of nonnegative polynomials is a fundamental problem in computational mathematics, with applications to polynomial optimization, control, machine learning, game theory, and combinatorics, among others.…

Optimization and Control · Mathematics 2018-06-20 Georgina Hall
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