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Chap 6
Chap 6

... The addition and multiplication tables in Example 6.3 show that Z5 has many of the same properties as the integers. In particular, (1) 0 is the additive identity since 0 + n = n + 0 = 0 for all n. (2) 1 is the multiplicative identity since 1 · n = n · 1 = n for all n. Since the elements of Zm in gen ...
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ARIZONA WINTER SCHOOL 2014 COURSE NOTES

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A PROPERTY OF SMALL GROUPS A connected group of Morley

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2-2: Laws of Logs, Log Rules, Log Equations

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Chapter4p1

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Information Integration Over Time in Unreliable

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THE ENDOMORPHISM SEMIRING OF A SEMILATTICE 1

Values of the Carmichael Function Equal to a Sum of Two Squares
Values of the Carmichael Function Equal to a Sum of Two Squares

LINEAR REPRESENTATIONS OF SOLUBLE GROUPS OF FINITE
LINEAR REPRESENTATIONS OF SOLUBLE GROUPS OF FINITE

Dedekind domains and rings of quotients
Dedekind domains and rings of quotients

Math 594. Solutions 2 Book problems §4.1
Math 594. Solutions 2 Book problems §4.1

General setting of the interpolation problem (with respect to the
General setting of the interpolation problem (with respect to the

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Ppt

THE KRONECKER PRODUCT OF SCHUR FUNCTIONS INDEXED
THE KRONECKER PRODUCT OF SCHUR FUNCTIONS INDEXED

SCILAB IS NOT NAIVE
SCILAB IS NOT NAIVE

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x - Montville.net

greatest common divisor
greatest common divisor

gcd intro - MathHands
gcd intro - MathHands

Divided powers
Divided powers

(1) 2 `M«) = 0(x/log log x). - American Mathematical Society
(1) 2 `M«) = 0(x/log log x). - American Mathematical Society

ADDITION AND SUBTRACTION
ADDITION AND SUBTRACTION

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+ 1 - Stefan Dziembowski

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THE DIFFERENT IDEAL 1. Introduction O

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elements of finite order for finite monadic church-rosser

THE FRACTIONAL PARTS OF THE BERNOULLI NUMBERS BY
THE FRACTIONAL PARTS OF THE BERNOULLI NUMBERS BY

< 1 ... 33 34 35 36 37 38 39 40 41 ... 231 >

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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