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Ce document est le fruit d`un long travail approuvé par le jury de
Ce document est le fruit d`un long travail approuvé par le jury de

3.4 Complex Zeros and the Fundamental Theorem of Algebra
3.4 Complex Zeros and the Fundamental Theorem of Algebra

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... Proof. By the definition of divisor, L = i(p − 1) = j(q − 1) + k for nonzero integers i, j, k where 1 ≤ k < q − 1. Using Fermat’s Little Theorem shows that aL = ai(p−1) = (ap−1 )i ≡ 1i ≡ 1 (mod p) and aL = aj(q−1)+k = (aq−1 )j ak ≡ 1j · ak ≡ ak (mod q). From the equations above, we see that p | aL − ...
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Lecture 8: Stream ciphers - LFSR sequences

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CS173: Discrete Math

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PERIODS OF GENERIC TORSORS OF GROUPS OF

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factoring packet - miller cfca

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Please Do Now 1.19.17 1. Take your quiz on the Hub.

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Discovering and Proving that π Is Irrational

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... the rectangle have the same number of symmetries, but they are clearly symmetric in different ways. How can one capture this difference? Given two symmetries of some shape, we may transform the shape by the first one, and then apply the second one to the result. The operation obtained in this way is ...
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Factorization of polynomials over finite fields

In mathematics and computer algebra the factorization of a polynomial consists of decomposing it into a product of irreducible factors. This decomposition is theoretically possible and is unique for polynomials with coefficients in any field, but rather strong restrictions on the field of the coefficients are needed to allow the computation of the factorization by means of an algorithm. In practice, algorithms have been designed only for polynomials with coefficients in a finite field, in the field of rationals or in a finitely generated field extension of one of them.The case of the factorization of univariate polynomials over a finite field, which is the subject of this article, is especially important, because all the algorithms (including the case of multivariate polynomials over the rational numbers), which are sufficiently efficient to be implemented, reduce the problem to this case (see Polynomial factorization). It is also interesting for various applications of finite fields, such as coding theory (cyclic redundancy codes and BCH codes), cryptography (public key cryptography by the means of elliptic curves), and computational number theory.As the reduction of the factorization of multivariate polynomials to that of univariate polynomials does not have any specificity in the case of coefficients in a finite field, only polynomials with one variable are considered in this article.
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