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We derive inclusion regions for the eigenvalues of matrix polynomials expressed in a general polynomial basis, which can lead to significantly better results than traditional bounds. We present several applications to engineering problems.

Numerical Analysis · Mathematics 2016-05-31 Aaron Melman

The paper addresses the study and applications of a broad class of extended-real-valued functions, known as optimal value or marginal functions, which are frequently appeared in variational analysis, parametric optimization, and a variety…

Optimization and Control · Mathematics 2025-02-05 Le Phuoc Hai , Felipe Lara , Boris S. Mordukhovich

In this paper we present the notions of trail (pseudo-)division, generalized subresultants and generalized subresultant algorithm.

Commutative Algebra · Mathematics 2007-05-23 Petr Glotov

We generalize some previous results on random polynomials in several complex variables. A standard setting is to consider random polynomials $H_n(z):=\sum_{j=1}^{m_n} a_jp_j(z)$ that are linear combinations of basis polynomials $\{p_j\}$…

Complex Variables · Mathematics 2024-01-29 Turgay Bayraktar , Tom Bloom , Norm Levenberg

Dual Bernstein polynomials of one or two variables have proved to be very useful in obtaining B\'{e}zier form of the $L^2$-solution of the problem of best polynomial approximation of B\'{e}zier curve or surface. In this connection, the…

Numerical Analysis · Mathematics 2016-10-21 Stanisław Lewanowicz , Paweł Keller , Paweł Woźny

We introduce concepts of "recursive polynomial remainder sequence (PRS)" and "recursive subresultant," along with investigation of their properties. A recursive PRS is defined as, if there exists the GCD (greatest common divisor) of initial…

Commutative Algebra · Mathematics 2010-07-13 Akira Terui

The Bernstein polynomial basis sees significant use owing to its unique properties, particularly in the field of optimal control. However, the basis is known to have a slow rate of convergence to the function it approximates. With this in…

Optimization and Control · Mathematics 2025-09-15 Maxwell Hammond , Gage MacLin , Laurent Jay , Venanzio Cichella

Normalization of polynomials plays a vital role in the approximate basis computation of vanishing ideals. Coefficient normalization, which normalizes a polynomial with its coefficient norm, is the most common method in computer algebra.…

Symbolic Computation · Computer Science 2022-07-04 Hiroshi Kera

We define the generalized basic hypergeometric polynomial of degree $N \geq 1$ in terms of the generalized basic hypergeometric function, which depends on (arbitrary, generic, possibly complex) parameters $q \neq 1$, the $r \geq 0$…

Mathematical Physics · Physics 2015-04-09 Oksana Bihun , Francesco Calogero

In the present paper we generate binary pseudorandom sequences using generalized polynomials. A generalized polynomial is a function in whose description we not only allow addition and product (as it is the case in usual polynomials) but…

Number Theory · Mathematics 2025-09-25 Manfred G. Madritsch , Robert F. Tichy

We propose investigating a summation analog of the paradigm for parallel integration. We make some first steps towards an indefinite summation method applicable to summands that rationally depend on the summation index and a P-recursive…

Combinatorics · Mathematics 2024-06-10 Shaoshi Chen , Ruyong Feng , Manuel Kauers , Xiuyun Li

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

Given n polynomials in n variables with a finite number of complex roots, for any of their roots there is a local residue operator assigning a complex number to any polynomial. This is an algebraic, but generally not rational, function of…

alg-geom · Mathematics 2015-06-30 Eduardo Cattani , Alicia Dickenstein , Bernd Sturmfels

The template-based method is one of the most successful approaches to algebraic invariant synthesis. In this method, an algorithm designates a template polynomial p over program variables, generates constraints for p=0 to be an invariant,…

Programming Languages · Computer Science 2016-09-15 Kensuke Kojima , Minoru Kinoshita , Kohei Suenaga

We present a method to compute the Euler characteristic of an algebraic subset of $\bc^n$. This method relies on clasical tools such as Gr\"obner basis and primary decomposition. The existence of this method allows us to define a new…

Algebraic Geometry · Mathematics 2011-11-16 Miguel A. Marco-Buzunáriz

In this paper, we present a generic parametrization of generically zero-dimensional parametric polynomial systems. More specifically, we study the specialization properties of the Rational Univariate Representation and derive bounds on the…

Symbolic Computation · Computer Science 2026-02-09 Florent Corniquel

Univariate polynomial root-finding is both classical and important for modern computing. Frequently one seeks just the real roots of a polynomial with real coefficients. They can be approximated at a low computational cost if the polynomial…

Numerical Analysis · Mathematics 2014-07-01 Victor Y. Pan

The inversion problem for rational B\'ezier curves is addressed by using resultant matrices for polynomials expressed in the Bernstein basis. The aim of the work is not to construct an inversion formula but finding the corresponding value…

Numerical Analysis · Mathematics 2010-07-19 Ana Marco , José-Javier Martinez

This is the second part of a work dedicated to the study of Bernstein-Sato polynomials for several analytic functions depending on parameters. In this part, we give constructive results generalizing previous ones obtained by the author in…

Algebraic Geometry · Mathematics 2007-05-23 Rouchdi Bahloul

Loop invariants are properties of a program loop that hold before and after each iteration of the loop. They are often employed to verify programs and ensure that algorithms consistently produce correct results during execution.…

Symbolic Computation · Computer Science 2024-05-16 Erdenebayar Bayarmagnai , Fatemeh Mohammadi , Rémi Prébet