polynomial

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pol·y·no·mi·al

 (pŏl′ē-nō′mē-əl)
adj.
Of, relating to, or consisting of more than two names or terms.
n.
1. A taxonomic designation consisting of more than two terms.
2. Mathematics
a. An algebraic expression consisting of one or more summed terms, each term consisting of a constant multiplier and one or more variables raised to nonnegative integral powers. For example, x2 - 5x + 6 and 2p3q + y are polynomials. Also called multinomial.
b. An expression of two or more terms.

polynomial

(ˌpɒlɪˈnəʊmɪəl)
adj
of, consisting of, or referring to two or more names or terms. Also called: multinominal
n
1. (Mathematics)
a. a mathematical expression consisting of a sum of terms each of which is the product of a constant and one or more variables raised to a positive or zero integral power. For one variable, x, the general form is given by: a0xn + a1xn–1 + … + an–1x + an, where a0, a1, etc, are real numbers
b. Also called: multinomial any mathematical expression consisting of the sum of a number of terms
2. (Biology) biology a taxonomic name consisting of more than two terms, such as Parus major minor in which minor designates the subspecies

pol•y•no•mi•al

(ˌpɒl əˈnoʊ mi əl)

adj.
1. consisting of or characterized by two or more names or terms.
n.
2. an algebraic expression consisting of the sum of two or more terms.
3. a polynomial name or term.
4. a species name containing more than two terms.
[1665–75]

pol·y·no·mi·al

(pŏl′ē-nō′mē-əl)
An algebraic expression that is represented as the sum of two or more terms. The expressions x2 - 4 and 5x4 + 2x3 - x + 7 are both polynomials.
ThesaurusAntonymsRelated WordsSynonymsLegend:
Noun1.polynomial - a mathematical function that is the sum of a number of terms
biquadratic polynomial, quartic polynomial, biquadratic - a polynomial of the fourth degree
homogeneous polynomial - a polynomial consisting of terms all of the same degree
monic polynomial - a polynomial in one variable
quadratic polynomial, quadratic - a polynomial of the second degree
series - (mathematics) the sum of a finite or infinite sequence of expressions
math, mathematics, maths - a science (or group of related sciences) dealing with the logic of quantity and shape and arrangement
function, mapping, mathematical function, single-valued function, map - (mathematics) a mathematical relation such that each element of a given set (the domain of the function) is associated with an element of another set (the range of the function)
Adj.1.polynomial - having the character of a polynomial; "a polynomial expression"
Translations
polynom
polynomi
polynômepolynomial
polinom
polinomialepolinomio
polynompolynomiell

polynomial

[ˌpɒlɪˈnəʊmɪəl]
A. ADJpolinomio
B. Npolinomio m

polynomial

adjpolynomisch
nPolynom nt

polynomial

[ˌpɒlɪˈnəʊmɪəl] npolinomio
References in periodicals archive ?
We end with a section on numerical experiments, where we also show that there does not exist a method that exhibits EBS for all quadratic polynomials.
They cover unitary matrix ensembles, the Riemann-Hilbert problem for orthogonal polynomials, discrete orthogonal polynomials on an infinite lattice, introducing the six-vertex model, the Izergin-Korepin formula, the disordered phase, the anti-ferroelectric phase, the ferroelectric phase, and between the phases.
In this paper we investigate this game, which we refer to as the toppling game, by exhibiting a wide range of connections with classical orthogonal polynomials and symmetric functions.
Gegenbauer polynomials or ultraspherical polynomials [C.
The first (Algebraic Algorithms) focuses on fundamental problems of computational (real) algebraic geometry: effective zero bounds, that is estimations for the minimum distance of the roots of a polynomial system from zero, algorithms for solving polynomials and polynomial systems, derivation of non-asymptotic bounds for basic algorithms of real algebraic geometry and application of polynomial system solving techniques in optimization.
The more classical examples of linear positive operators throughout approximation process are the Bernstein polynomials, which are defined by Bernstein [3] as following:
For each residual type, we estimated models using first-through third-degree polynomials of residuals as reasonable ways to add nonlinearity and flexibility relative to the simple 2SRI approach.
We investigate the geometry of stable discrete polynomials using their coefficients and reflection coefficients.
The purpose of the present paper is to demonstrate that if our data in a limited area can be transformed with acceptable accuracy, using unprojection, geographic transformation, and reprojection, they can be transformed with comparable accuracy, using low-degree complex polynomials.
Polynomials of varying degrees and different number of terms were selected and their coefficients computed using the method of least squares with constraints.
The unimodality of independence polynomials was analyzed in a number of papers, like [1], [3], [11], [16], [21], [22], [23], [24], [25], [27], [31].
In LTSC-128, the mathematical operations and vector representation of SVP in lattice space was inspired by NTRU public-key cryptosystem, where the vectors are represented by polynomials for efficiency purposes as will discuss later in this document.