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The modified Cholesky decomposition is commonly used for precision matrix estimation given a specified order of random variables. However, the order of variables is often not available or cannot be pre-determined. In this work, we propose…

Machine Learning · Statistics 2021-11-23 Xiaoning Kang , Xinwei Deng

We present a novel, global algorithm for solving polynomial multiparameter eigenvalue problems (PMEPs) by leveraging a hidden variable tensor Dixon resultant framework. Our method transforms a PMEP into one or more univariate polynomial…

Numerical Analysis · Mathematics 2025-04-01 Emil Graf , Alex Townsend

We present determinant formulae for the number of tilings of various domains in relation with Alternating Sign Matrix and Fully Packed Loop enumeration.

Mathematical Physics · Physics 2007-05-23 P. Di Francesco , P. Zinn-Justin , J. -B. Zuber

We present an algorithm for the classification of triples of lattice polytopes with a given mixed volume $m$ in dimension 3. It is known that the classification can be reduced to the enumeration of so-called irreducible triples, the number…

Combinatorics · Mathematics 2020-12-22 Gennadiy Averkov , Christopher Borger , Ivan Soprunov

This paper exhibits a very simple formula for a particular solution of a linear ordinary differential equation with constant real coefficients, P(d/dt)x = f, f a function given by a linear combination of polynomials, trigonometrical and…

Classical Analysis and ODEs · Mathematics 2022-02-15 Oswaldo Rio Branco de Oliveira

We consider real polynomials in finitely many variables. Let the variables consist of finitely many blocks that are allowed to overlap in a certain way. Let the solution set of a finite system of polynomial inequalities be given where each…

Optimization and Control · Mathematics 2007-05-23 David Grimm , Tim Netzer , Markus Schweighofer

The paper reports on a computer algebra program LSSS (Linear Selective Systems Solver) for solving linear algebraic systems with rational coefficients. The program is especially efficient for very large sparse systems that have a solution…

Symbolic Computation · Computer Science 2011-09-14 Thomas Wolf , Eberhard Schruefer , Kenneth Webster

In this paper we propose several strategies for the exact computation of the determinant of a rational matrix. First, we use the Chinese Remaindering Theorem and the rational reconstruction to recover the rational determinant from its…

Symbolic Computation · Computer Science 2009-04-16 Anna Urbanska

We propose a method for verifying that a given feasible point for a polynomial optimization problem is globally optimal. The approach relies on the Lasserre hierarchy and the result of Lasserre regarding the importance of the convexity of…

Optimization and Control · Mathematics 2021-01-05 Sikun Xu , Ruoyi Ma , Daniel K. Molzahn , Hassan Hijazi , Cédric Josz

Using results of Fayers on the structure of Specht modules, we prove two different formulae for the determinant of matrices which are obtained by amalgamating the entries of two smaller matrices. In particular, this gives formulae for…

Representation Theory · Mathematics 2026-04-23 Francis Brown

[Inserted by J. Maurice Rojas] We give a formula for the number of complex roots of a generic system of two polynomial equations in two unknowns. The formula is completely combinatorial, ultimately depending just on the convex hull of the…

History and Overview · Mathematics 2007-05-23 Ferdinand Minding

We present a new framework for creating elegant algorithms for exact uniform sampling of important Catalan structures, such as triangulations of convex polygons, Dyck words, monotonic lattice paths and mountain ranges. Along with sampling,…

Discrete Mathematics · Computer Science 2018-03-13 Alexandros Angelopoulos , Eleni Bakali

Gelfond and Khovanskii found a formula for the sum of the values of a Laurent polynomial at the zeros of a system of n Laurent polynomials in the complex n-torus whose Newton polyhedra have generic mutual positions. An exponential change of…

Algebraic Geometry · Mathematics 2012-02-03 Evgenia Soprunova

Hidden-variable resultant methods are a class of algorithms for solving multidimensional polynomial rootfinding problems. In two dimensions, when significant care is taken, they are competitive practical rootfinders. However, in higher…

Numerical Analysis · Mathematics 2016-01-12 Vanni Noferini , Alex Townsend

Let $X$ be a smooth irreducible quasi-projective algebraic variety over a number field $K$. Suppose $X$ is equipped with a $p$-adic \'{e}tale local system compatible with an admissible graded-polarized variation of mixed Hodge structures on…

Number Theory · Mathematics 2025-08-15 Kenneth Chung Tak Chiu

In 2007, the first author gave an alternative proof of the refined alternating sign matrix theorem by introducing a linear equation system that determines the refined ASM numbers uniquely. Computer experiments suggest that the numbers…

Combinatorics · Mathematics 2014-03-04 Ilse Fischer , Lukas Riegler

In this work, we study the problem of finding approximate, with minimum support set, solutions to matrix max-plus equations, which we call sparse approximate solutions. We show how one can obtain such solutions efficiently and in polynomial…

Optimization and Control · Mathematics 2020-12-22 Nikos Tsilivis , Anastasios Tsiamis , Petros Maragos

There are two well known tasks, related to Newton polyhedra: to study invariants of singularities in terms of their Newton polyhedra, and to describe Newton polyhedra of resultants and discriminants. We introduce so called resultantal…

Algebraic Geometry · Mathematics 2010-08-03 Alexander Esterov

We present an exact and complete algorithm to isolate the real solutions of a zero-dimensional bivariate polynomial system. The proposed algorithm constitutes an elimination method which improves upon existing approaches in a number of…

Mathematical Software · Computer Science 2010-10-08 Eric Berberich , Pavel Emeliyanenko , Michael Sagraloff

We provide a short proof of the theorem that every real multivariate polynomial has a symmetric determinantal representation, which was first proved in J. W. Helton, S. A. McCullough, and V. Vinnikov, Noncommutative convexity arises from…

Complex Variables · Mathematics 2021-01-12 Anthony Stefan , Aaron Welters