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  2. File:Zernike polynomials3.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Zernike_polynomials3.pdf

    Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts.

  3. Perfect field - Wikipedia

    en.wikipedia.org/wiki/Perfect_field

    fields algebraic over a perfect field. Most fields that are encountered in practice are perfect. The imperfect case arises mainly in algebraic geometry in characteristic p > 0. Every imperfect field is necessarily transcendental over its prime subfield (the minimal subfield), because the latter is

  4. Factorization of polynomials over finite fields - Wikipedia

    en.wikipedia.org/wiki/Factorization_of...

    Algorithm: SFF (Square-Free Factorization) Input: A monic polynomial f in F q [x] where q = p m Output: Square-free factorization of f R ← 1 # Make w be the product (without multiplicity) of all factors of f that have # multiplicity not divisible by p c ← gcd(f, f′) w ← f/c # Step 1: Identify all factors in w i ← 1 while w ≠ 1 do y ...

  5. Finite field - Wikipedia

    en.wikipedia.org/wiki/Finite_field

    As every polynomial ring over a field is a unique factorization domain, every monic polynomial over a finite field may be factored in a unique way (up to the order of the factors) into a product of irreducible monic polynomials. There are efficient algorithms for testing polynomial irreducibility and factoring polynomials over finite fields.

  6. Linearised polynomial - Wikipedia

    en.wikipedia.org/wiki/Linearised_polynomial

    The map x ↦ L(x) is a linear map over any field containing F q.; The set of roots of L is an F q-vector space and is closed under the q-Frobenius map.; Conversely, if U is any F q-linear subspace of some finite field containing F q, then the polynomial that vanishes exactly on U is a linearised polynomial.

  7. Berlekamp's algorithm - Wikipedia

    en.wikipedia.org/wiki/Berlekamp's_algorithm

    In mathematics, particularly computational algebra, Berlekamp's algorithm is a well-known method for factoring polynomials over finite fields (also known as Galois fields). The algorithm consists mainly of matrix reduction and polynomial GCD computations. It was invented by Elwyn Berlekamp in 1967.

  8. BCH code - Wikipedia

    en.wikipedia.org/wiki/BCH_code

    A polynomial code of length is cyclic if and only if its generator polynomial divides Since g ( x ) {\displaystyle g(x)} is the minimal polynomial with roots α c , … , α c + d − 2 , {\displaystyle \alpha ^{c},\ldots ,\alpha ^{c+d-2},} it suffices to check that each of α c , … , α c + d − 2 {\displaystyle \alpha ^{c},\ldots ,\alpha ...

  9. Algebraically closed field - Wikipedia

    en.wikipedia.org/wiki/Algebraically_closed_field

    The assertion "the polynomials of degree one are irreducible" is trivially true for any field. If F is algebraically closed and p(x) is an irreducible polynomial of F[x], then it has some root a and therefore p(x) is a multiple of x − a. Since p(x) is irreducible, this means that p(x) = k(x − a), for some k ∈ F \ {0} .