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  1. ROOT - Root, Inc.

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  3. Shapiro polynomials - Wikipedia

    en.wikipedia.org/wiki/Shapiro_polynomials

    Shapiro polynomials. In mathematics, the Shapiro polynomials are a sequence of polynomials which were first studied by Harold S. Shapiro in 1951 when considering the magnitude of specific trigonometric sums. [1] In signal processing, the Shapiro polynomials have good autocorrelation properties and their values on the unit circle are small. [2]

  4. Stewart Shapiro - Wikipedia

    en.wikipedia.org/wiki/Stewart_Shapiro

    Stewart Shapiro (/ ʃ ə ˈ p ɪər oʊ /; born 1951) is O'Donnell Professor of Philosophy at the Ohio State University and distinguished visiting professor at the University of Connecticut. He is a figure in the philosophy of mathematics where he defends the abstract variety of structuralism .

  5. Complex conjugate root theorem - Wikipedia

    en.wikipedia.org/wiki/Complex_conjugate_root_theorem

    Complex conjugate root theorem. In mathematics, the complex conjugate root theorem states that if P is a polynomial in one variable with real coefficients, and a + bi is a root of P with a and b real numbers, then its complex conjugate a − bi is also a root of P. [1] It follows from this (and the fundamental theorem of algebra) that, if the ...

  6. Rational root theorem - Wikipedia

    en.wikipedia.org/wiki/Rational_root_theorem

    True roots must occur on both lists, so list of rational root candidates has shrunk to just x = 2 and x = 2/3. If k ≥ 1 rational roots are found, Horner's method will also yield a polynomial of degree n − k whose roots, together with the rational roots, are exactly the roots of the original polynomial. If none of the candidates is a ...

  7. Shapiro inequality - Wikipedia

    en.wikipedia.org/wiki/Shapiro_inequality

    Statement of the inequality. Suppose is a natural number and are positive numbers and: Then the Shapiro inequality states that. where and . For greater values of the inequality does not hold, and the strict lower bound is with . The initial proofs of the inequality in the pivotal cases [2] and [3] rely on numerical computations.

  8. Conjugate (square roots) - Wikipedia

    en.wikipedia.org/wiki/Conjugate_(square_roots)

    In mathematics, the conjugate of an expression of the form is provided that does not appear in a and b. One says also that the two expressions are conjugate. In particular, the two solutions of a quadratic equation are conjugate, as per the in the quadratic formula . Complex conjugation is the special case where the square root is the imaginary ...

  9. 2 + 2 = 5 - Wikipedia

    en.wikipedia.org/wiki/2_+_2_=_5

    As a theme and as a subject in the arts, the anti-intellectual slogan 2 + 2 = 5 pre-dates Orwell and has produced literature, such as Deux et deux font cinq (Two and Two Make Five), written in 1895 by Alphonse Allais, which is a collection of absurdist short stories; and the 1920 imagist art manifesto 2 × 2 = 5 by the poet Vadim Shershenevich.

  10. Square root of 5 - Wikipedia

    en.wikipedia.org/wiki/Square_root_of_5

    Algebraic form. Continued fraction. The square root of 5 is the positive real number that, when multiplied by itself, gives the prime number 5. It is more precisely called the principal square root of 5, to distinguish it from the negative number with the same property. This number appears in the fractional expression for the golden ratio.

  11. Square root of a matrix - Wikipedia

    en.wikipedia.org/wiki/Square_root_of_a_matrix

    Some authors use the name square root or the notation A1/2 only for the specific case when A is positive semidefinite, to denote the unique matrix B that is positive semidefinite and such that BB = BTB = A (for real-valued matrices, where BT is the transpose of B ). Less frequently, the name square root may be used for any factorization of a ...

  12. Vector algebra relations - Wikipedia

    en.wikipedia.org/wiki/Vector_algebra_relations

    The following are important identities in vector algebra. Identities that involve the magnitude of a vector , or the dot product (scalar product) of two vectors A · B, apply to vectors in any dimension. Identities that use the cross product (vector product) A × B are defined only in three dimensions. [nb 1] [1] Most of these relations can be ...