• 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
On Lattices, Learning with Errors, Random Linear Codes, and
On Lattices, Learning with Errors, Random Linear Codes, and

finitegroups.pdf
finitegroups.pdf

6.5 Properties of Logarithms
6.5 Properties of Logarithms

PDF
PDF

Derivation – Rules for Logarithms
Derivation – Rules for Logarithms

MAXIMAL REPRESENTATION DIMENSION FOR GROUPS OF
MAXIMAL REPRESENTATION DIMENSION FOR GROUPS OF

An efficient algorithm for the blocked pattern matching problem
An efficient algorithm for the blocked pattern matching problem

Unit V: Properties of Logarithms
Unit V: Properties of Logarithms

Modified and Ensemble Intelligent Water Drop
Modified and Ensemble Intelligent Water Drop

Streams
Streams

The Hasse–Minkowski Theorem Lee Dicker University of Minnesota, REU Summer 2001
The Hasse–Minkowski Theorem Lee Dicker University of Minnesota, REU Summer 2001

Hardness of Learning Problems over Burnside Groups of Exponent 3
Hardness of Learning Problems over Burnside Groups of Exponent 3

Homework # 7 Solutions
Homework # 7 Solutions

6.037, IAP 2016—Streams 1 MASSACHVSETTS INSTITVTE OF TECHNOLOGY
6.037, IAP 2016—Streams 1 MASSACHVSETTS INSTITVTE OF TECHNOLOGY

The Field of Complex Numbers
The Field of Complex Numbers

Algebra 7_1 study guide Factors and Greatest Common Factors
Algebra 7_1 study guide Factors and Greatest Common Factors

Orders of Growth - UConn Math
Orders of Growth - UConn Math

HEIGHTS OF VARIETIES IN MULTIPROJECTIVE SPACES AND
HEIGHTS OF VARIETIES IN MULTIPROJECTIVE SPACES AND

Fault Tolerant Reachability for Directed Graphs
Fault Tolerant Reachability for Directed Graphs

A Simulation Approach to Optimal Stopping Under Partial Information
A Simulation Approach to Optimal Stopping Under Partial Information

On Some Aspects of the Differential Operator
On Some Aspects of the Differential Operator

Section 7 – 3: Factoring Trinomials of the Form
Section 7 – 3: Factoring Trinomials of the Form

Coprime (r,k)-Residue Sets In Z
Coprime (r,k)-Residue Sets In Z

Section 4.3 - TopCatMath
Section 4.3 - TopCatMath

Gal(Qp/Qp) as a geometric fundamental group
Gal(Qp/Qp) as a geometric fundamental group

< 1 ... 44 45 46 47 48 49 50 51 52 ... 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