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finitely generated powerful pro-p groups
finitely generated powerful pro-p groups

Unit 9 Factoring - the Algebra Class E
Unit 9 Factoring - the Algebra Class E

Feb 15
Feb 15

Summary of lectures.
Summary of lectures.

a pdf file
a pdf file

Section 2.1: Shift Ciphers and Modular Arithmetic
Section 2.1: Shift Ciphers and Modular Arithmetic

... state next. • Before stating this algorithm, recall that the integers are the numbers in the following set: Integers: {  4, 3, 2, 1, 0, 1, 2, 3, 4, } ...
Extremely Abundant Numbers and the Riemann Hypothesis
Extremely Abundant Numbers and the Riemann Hypothesis

Tree-Based State Generalization with Temporally Abstract Actions
Tree-Based State Generalization with Temporally Abstract Actions

Solutions to Exercises, Section 3.3
Solutions to Exercises, Section 3.3

Differential algebra, ordered fields and model theory
Differential algebra, ordered fields and model theory

Some topics in the theory of finite groups
Some topics in the theory of finite groups

Integrating Syntactic and Semantic Analysis into the Open Information Extraction Paradigm
Integrating Syntactic and Semantic Analysis into the Open Information Extraction Paradigm

Lecture 12 CS 282 - Computer Science Division
Lecture 12 CS 282 - Computer Science Division

Public key principles, one
Public key principles, one

IMT3701 Cryptology
IMT3701 Cryptology

arXiv:math/0604314v2 [math.NT] 7 Sep 2006 On
arXiv:math/0604314v2 [math.NT] 7 Sep 2006 On

1. Describe an algorithm that takes a list of n integers a1  a2  …  an
1. Describe an algorithm that takes a list of n integers a1 a2 … an

Chapter 3 - Websupport1
Chapter 3 - Websupport1

Abelian Varieties
Abelian Varieties

Revised Version 090929
Revised Version 090929

Brauer-Thrall for totally reflexive modules
Brauer-Thrall for totally reflexive modules

LINEAR EQUATIONS WITH THE EULER TOTIENT FUNCTION AMS
LINEAR EQUATIONS WITH THE EULER TOTIENT FUNCTION AMS

Quotient Modules in Depth
Quotient Modules in Depth

Factorising - Numeracy Workshop
Factorising - Numeracy Workshop

Modern Algebra: An Introduction, Sixth Edition
Modern Algebra: An Introduction, Sixth Edition

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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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