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  2. Coefficient - Wikipedia

    en.wikipedia.org/wiki/Coefficient

    The leading entry (sometimes leading coefficient [citation needed]) of a row in a matrix is the first nonzero entry in that row. So, for example, in the matrix ( 1 2 0 6 0 2 9 4 0 0 0 4 0 0 0 0 ) , {\displaystyle {\begin{pmatrix}1&2&0&6\\0&2&9&4\\0&0&0&4\\0&0&0&0\end{pmatrix}},} the leading coefficient of the first row is 1; that of the second ...

  3. Polynomial - Wikipedia

    en.wikipedia.org/wiki/Polynomial

    A polynomial function is a function that can be defined by evaluating a polynomial. More precisely, ... (its leading coefficient) ...

  4. Degree of a polynomial - Wikipedia

    en.wikipedia.org/wiki/Degree_of_a_polynomial

    For example, the polynomial x 2 y 2 + 3x 3 + 4y has degree 4, the same degree as the term x 2 y 2. However, a polynomial in variables x and y, is a polynomial in x with coefficients which are polynomials in y, and also a polynomial in y with coefficients which are polynomials in x. The polynomial

  5. Rational root theorem - Wikipedia

    en.wikipedia.org/wiki/Rational_root_theorem

    q is an integer factor of the leading coefficient a n. The rational root theorem is a special case (for a single linear factor) of Gauss's lemma on the factorization of polynomials. The integral root theorem is the special case of the rational root theorem when the leading coefficient is a n = 1.

  6. Monic polynomial - Wikipedia

    en.wikipedia.org/wiki/Monic_polynomial

    Let () be a polynomial equation, where P is a univariate polynomial of degree n.If one divides all coefficients of P by its leading coefficient, one obtains a new polynomial equation that has the same solutions and consists to equate to zero a monic polynomial.

  7. Chebyshev polynomials - Wikipedia

    en.wikipedia.org/wiki/Chebyshev_polynomials

    The Chebyshev polynomials T n are polynomials with the largest possible leading coefficient whose absolute value on the interval [−1, 1] is bounded by 1. They are also the "extremal" polynomials for many other properties.

  8. Polynomial evaluation - Wikipedia

    en.wikipedia.org/wiki/Polynomial_evaluation

    The polynomial given by Strassen has very large coefficients, but by probabilistic methods, one can show there must exist even polynomials with coefficients just 0's and 1's such that the evaluation requires at least (/ ⁡) multiplications. [10] For other simple polynomials, the complexity is unknown.

  9. Gauss–Lucas theorem - Wikipedia

    en.wikipedia.org/wiki/Gauss–Lucas_theorem

    Proof. By the fundamental theorem of algebra, is a product of linear factors as = = ()where the complex numbers,, …, are the – not necessarily distinct – zeros of the polynomial P, the complex number α is the leading coefficient of P and n is the degree of P.