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The question how to certify non-negativity of a polynomial function lies at the heart of Real Algebra and also has important applications to Optimization. In this article we investigate the question of non-negativity in the context of…

Optimization and Control · Mathematics 2015-11-24 Paul Görlach , Cordian Riener , Tillmann Weißer

In this paper, we consider the problem of deciding the existence of real solutions to a system of polynomial equations having real coefficients, and which are invariant under the action of the symmetric group. We construct and analyze a…

Symbolic Computation · Computer Science 2023-06-08 George Labahn , Cordian Riener , Mohab Safey El Din , Éric Schost , Thi Xuan Vu

The following questions are often encountered in system and control theory. Given an algebraic model of a physical process, which variables can be, in theory, deduced from the input-output behavior of an experiment? How many of the…

Optimization and Control · Mathematics 2025-10-20 Alexandre Sedoglavic

This paper is our second step towards developing a theory of testing monomials in multivariate polynomials. The central question is to ask whether a polynomial represented by an arithmetic circuit has some types of monomials in its…

Computational Complexity · Computer Science 2010-07-19 Zhixiang Chen , Bin Fu , Yang Liu , Robert Schweller

Let $\mathbb{Q}$ (resp. $\mathbb{R}$) be the field of rational (resp. real) numbers and $X = (X_1, \ldots, X_n)$ be variables. Deciding the non-negativity of polynomials in $\mathbb{Q}[X]$ over $\mathbb{R}^n$ or over semi-algebraic domains…

Symbolic Computation · Computer Science 2018-05-08 Victor Magron , Mohab Safey El Din

In this paper, an exact algorithm in polynomial time is developed to solve unrestricted binary quadratic programs. The computational complexity is $O\left( n^{\frac{15}{2}}\right) $, although very conservative, it is sufficient to prove…

Data Structures and Algorithms · Computer Science 2021-02-02 Juan Ignacio Mulero-Martínez

In this expository paper we describe four primality tests. The first test is very efficient, but is only capable of proving that a given number is either composite or 'very probably' prime. The second test is a deterministic polynomial time…

Number Theory · Mathematics 2008-01-25 Rene Schoof

We prove that checking if a partial matrix is partial totally positive is co-NP-complete. This contrasts with checking a conventional matrix for total positivity, for which we provide a cubic time algorithm. Checking partial sign regularity…

Computational Complexity · Computer Science 2021-09-21 Daniel Carter , Charles Johnson

We follow a stream of the history of positive matrices and positive functionals, as applied to algebraic sums of squares decompositions, with emphasis on the interaction between classical moment problems, function theory of one or several…

Functional Analysis · Mathematics 2007-05-23 John William Helton , Mihai Putinar

In this paper we consider polynomial representability of functions defined over $Z_{p^n}$, where $p$ is a prime and $n$ is a positive integer. Our aim is to provide an algorithmic characterization that (i) answers the decision problem: to…

Symbolic Computation · Computer Science 2015-02-16 Ashwin Guha , Ambedkar Dukkipati

This paper proposes an efficient algorithm for testing copositivity of homogeneous polynomials over the positive semidefinite cone. The algorithm is based on a novel matrix optimization reformulation and requires solving a hierarchy of…

Optimization and Control · Mathematics 2026-01-13 Lei Huang , Lingling Xie

We complete the complexity classification by degree of minimizing a polynomial over the integer points in a polyhedron in $\mathbb{R}^2$. Previous work shows that optimizing a quadratic polynomial over the integer points in a polyhedral…

Optimization and Control · Mathematics 2015-05-07 Alberto Del Pia , Robert Hildebrand , Robert Weismantel , Kevin Zemmer

We give a strongly polynomial time algorithm which determines whether or not a bivariate polynomial is real stable. As a corollary, this implies an algorithm for testing whether a given linear transformation on univariate polynomials…

Data Structures and Algorithms · Computer Science 2016-10-04 Prasad Raghavendra , Nick Ryder , Nikhil Srivastava

We present a numerical algorithm for finding real non-negative solutions to polynomial equations. Our methods are based on the expectation maximization and iterative proportional fitting algorithms, which are used in statistics to find…

Numerical Analysis · Mathematics 2010-04-02 Dustin Cartwright

Exact evaluation of $<{\rm Tr} S^p>$ is here performed for real symmetric matrices $S$ of arbitrary order $n$, up to some integer $p$, where the matrix entries are independent identically distributed random variables, with an arbitrary…

Statistical Mechanics · Physics 2009-11-10 Giovanni M. Cicuta

In this paper, we study functions of the roots of a univariate polynomial in which the roots have a given multiplicity structure $\mu$. Traditionally, root functions are studied via the theory of symmetric polynomials; we extend this theory…

Symbolic Computation · Computer Science 2020-01-22 Jing Yang , Chee K. Yap

This article presents a validation of a recently proposed strongly polynomial-time algorithm for the general linear programming problem. The proposed algorithm is an implicit reduction procedure that combines primal and dual linear…

Optimization and Control · Mathematics 2026-04-28 Samuel Awoniyi

Symmetry plays a central role in accelerating symbolic computation involving polynomials. This chapter surveys recent developments and foundational methods that leverage the inherent symmetries of polynomial systems to reduce complexity,…

Algebraic Geometry · Mathematics 2025-08-01 Cordian Riener , Thi Xuan Vu

It is well known that the most challenging question in optimization and discrete geometry is whether there is a strongly polynomial time simplex algorithm for linear programs (LPs). This paper gives a positive answer to this question by…

Optimization and Control · Mathematics 2022-10-03 Zi-zong Yan , Xiang-jun Li , Jinhai Guo

This paper introduces and develops the algebraic framework of moment polynomials, which are polynomial expressions in commuting variables and their formal mixed moments. Their positivity and optimization over probability measures supported…

Functional Analysis · Mathematics 2024-05-14 Igor Klep , Victor Magron , Jurij Volčič
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