• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Holt McDougal Algebra 2 3-5
Holt McDougal Algebra 2 3-5

Solution 8 - D-MATH
Solution 8 - D-MATH

... h = f /g m and g ∈ / m. This comes exactly from f /g m ∈ Am by the above map, finishing the proof. 4. Let X be an affine algebraic variety and let A be the ring of algebraic functions on X. Let p ∈ X be a point and let m ⊂ A be the associated maximal ideal. Let Am be the localization of A at m. Let ...
Prentice Hall Algebra 2 Common Core Edition
Prentice Hall Algebra 2 Common Core Edition

Full text
Full text

Problem Sheet 3
Problem Sheet 3

Algebraic Geometry
Algebraic Geometry

final project 1
final project 1

Optimization of (s, S) Inventory Systems with Random Lead Times
Optimization of (s, S) Inventory Systems with Random Lead Times

10. Modules over PIDs - Math User Home Pages
10. Modules over PIDs - Math User Home Pages

Take Home Quiz 4.1-4.5
Take Home Quiz 4.1-4.5

Public-Key Crypto Basics Paul Garrett
Public-Key Crypto Basics Paul Garrett

Full text
Full text

... For a positive integer n, let f(ri) be the number of multiplicative partitions of n. That is, f(n) represents the number of different factorizations of n, where two factorizations are considered the same if they differ only in the order of the factors. For example, /"(12) = 4, since 12 = 6*2 = 4 • 3 ...
Replicable functions: an introduction
Replicable functions: an introduction

Section 6.2 Calculating Coefficients Of Generating Functions
Section 6.2 Calculating Coefficients Of Generating Functions

INTRODUCTION TO ALGEBRAIC GEOMETRY, CLASS 18 Contents
INTRODUCTION TO ALGEBRAIC GEOMETRY, CLASS 18 Contents

3. Keyword Cover Search Module
3. Keyword Cover Search Module

Steps involved in Problem Solving
Steps involved in Problem Solving

Lecture 1
Lecture 1

CCSS-HSAlgebra - LSU Mathematics
CCSS-HSAlgebra - LSU Mathematics

Rings
Rings

PRIME FACTORS OF ARITHMETIC PROGRESSIONS AND
PRIME FACTORS OF ARITHMETIC PROGRESSIONS AND

... at every appearance and are effectively computable. The latter means that each C can be determined explicitly in terms of the various parameters under consideration. Constants c may be ineffective, but they may have different values at different places too. We use  and  to denote the Vinogradov sy ...
Reducing Numeric Fractions
Reducing Numeric Fractions

n - Webcourse
n - Webcourse

Formal Power Series
Formal Power Series

1 a ≠ and 1 log 4 log 0.25
1 a ≠ and 1 log 4 log 0.25

< 1 ... 83 84 85 86 87 88 89 90 91 ... 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.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report