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Techniques of Integration: Partial Fraction Decomposition (sec 7.5)
Techniques of Integration: Partial Fraction Decomposition (sec 7.5)

Solutions to Homework 7 27. (Dummit
Solutions to Homework 7 27. (Dummit

... clearly non-zero. Since K is a field it has no non-zero ideals and thus our map is injective. Since it is obviously surjective, we are done. (Dummit-Foote 13.2 #22) Let {αi } be a basis for K1 over F , and let {βj } be a basis for K2 over F . Then {αi ⊗ βj } is a basis for K1 ⊗F K2 over F . Define a ...
Sample solution to assignment 9
Sample solution to assignment 9

MATH 1210 Assignment 2
MATH 1210 Assignment 2

study of integer factorization algorithms
study of integer factorization algorithms

a(x) - Computer Science
a(x) - Computer Science

1 - USC
1 - USC

... 1. What are the essential characteristics of problems that can be solved by greedy algorithms? 2. The CS department wishes to allocate some courses to SAL 101. The list of courses are: Courses: ...
Polynomial Factoring Algorithms and their Computational Complexity
Polynomial Factoring Algorithms and their Computational Complexity

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Here

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Document

Scribe notes
Scribe notes

n - Iowa State University
n - Iowa State University

UI Putnam Training Sessions Problem Set 18: Polynomials, II
UI Putnam Training Sessions Problem Set 18: Polynomials, II

Notes – Greatest Common Factor (GCF)
Notes – Greatest Common Factor (GCF)

Document
Document

Groups, Rings and Fields
Groups, Rings and Fields

a(x)
a(x)

Cryptography and Network Security 4/e
Cryptography and Network Security 4/e

L04 - Number Theory and Finite Fields
L04 - Number Theory and Finite Fields

Algorithm Analysis
Algorithm Analysis

25. Abel`s Impossibility Theorem
25. Abel`s Impossibility Theorem

Multiplying and Factoring Polynomials product description
Multiplying and Factoring Polynomials product description

01 Polynomials
01 Polynomials

... The building blocks of algebra College Algebra ...
A well defined factorization
A well defined factorization

Unit 3 Study Guide Name Objectives: Name polynomials according
Unit 3 Study Guide Name Objectives: Name polynomials according

< 1 ... 208 209 210 211 212 213 214 215 216 ... 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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