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Chapter 13 Summary
Chapter 13 Summary

Prime Factorization Factor Trees
Prime Factorization Factor Trees

Polynomials (Chapter 4) - Core 1 Revision 1. The polynomial p(x
Polynomials (Chapter 4) - Core 1 Revision 1. The polynomial p(x

Inversion of Circulant Matrices over Zm
Inversion of Circulant Matrices over Zm

Section 8.4: Roots and Zeros
Section 8.4: Roots and Zeros

CS 173: Discrete Structures, Spring 2014 Homework 8
CS 173: Discrete Structures, Spring 2014 Homework 8

Review Jeopardy File
Review Jeopardy File

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Example sheet 1

Lights Out!: A Survey of Parity Domination in Grid Graphs
Lights Out!: A Survey of Parity Domination in Grid Graphs

Ann Khadaran
Ann Khadaran

Lecture 5 - McGill University
Lecture 5 - McGill University

4.2.1 Adding and Subtracting Polynomials
4.2.1 Adding and Subtracting Polynomials

ppt - Ricam
ppt - Ricam

The Proximal Point Algorithm Is O(1/∈)
The Proximal Point Algorithm Is O(1/∈)

... To date, the majority of the PPA’s fundamental properties have been discovered and analyzed. (i) Rockafellar [2] proved its global convergence in the presence of summable computational errors, and quite recently, Zaslavski [5] analyzed it in the non-summable form. (ii) Under certain assumptions, Ro ...
1 Groups
1 Groups

Integer Factorization Methods
Integer Factorization Methods

Dynamic Programming
Dynamic Programming

Notes for Lecture 11
Notes for Lecture 11

lecture1212
lecture1212

Final Exam: 15-853Algorithm in the real and virtual world
Final Exam: 15-853Algorithm in the real and virtual world

Extended Euclidean Algorithm
Extended Euclidean Algorithm

Lecture 17: Linear Time Sorting
Lecture 17: Linear Time Sorting

Multiplication and Division
Multiplication and Division

Transcendental extensions
Transcendental extensions

1. Give complete and precise definitions for the following. (a) F is a
1. Give complete and precise definitions for the following. (a) F is a

< 1 ... 164 165 166 167 168 169 170 171 172 ... 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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