• 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
Pade Approximations and the Transcendence of pi
Pade Approximations and the Transcendence of pi

Least Common Multiple and Greatest common factor
Least Common Multiple and Greatest common factor

Euclidean Algebra - Rosshall Academy
Euclidean Algebra - Rosshall Academy

7 Sorting Algorithms
7 Sorting Algorithms

Exponents and Square Numbers
Exponents and Square Numbers

Chapter 8: Dynamic Programming
Chapter 8: Dynamic Programming

Solutions to coursework 6 File
Solutions to coursework 6 File

CryptoComputing with rationals
CryptoComputing with rationals

... recover rationals using the Paillier cryptosystem. In this section, we prove the unicity of the recovered solution (r, s) if the conditions of Theorem 1 are respected. Theorem 1. If t0 = rs−1 mod N , −R ≤ r ≤ R and 0 < s ≤ S, then the algorithm of Gauss uniquely recovers r and s provided 2RS < N . P ...
C for Mathematicians
C for Mathematicians

Algebraic Geometry I - Problem Set 3
Algebraic Geometry I - Problem Set 3

Eigenvalues, eigenvectors, and eigenspaces of linear operators
Eigenvalues, eigenvectors, and eigenspaces of linear operators

CPSC 490 Number Theory Primes, Factoring and Euler's Phi
CPSC 490 Number Theory Primes, Factoring and Euler's Phi

Math 161 Notes 1.2
Math 161 Notes 1.2

A practical Differential Power Analysis Attack against the Miller
A practical Differential Power Analysis Attack against the Miller

... and Joye have shown in [4]. Let l ∈ N∗ , and G1 ⊂ E(Fq ), G2 ⊂ E(Fqk ), G3 ⊂ F∗qk be three groups of order l, and k be the smallest integer such that l divides (q k − 1), k is called the embedding degree. The most useful property in pairing based cryptography is bilinearity: e([n]P, [m]Q) = e(P, Q)n ...
Humans, Computer, and Computational Complexity
Humans, Computer, and Computational Complexity

arXiv:math/9802122v1 [math.CO] 27 Feb 1998
arXiv:math/9802122v1 [math.CO] 27 Feb 1998

Factoring Polynomials (Quadratics when a > 1)
Factoring Polynomials (Quadratics when a > 1)

Introduction to Algorithms Dynamic Programming
Introduction to Algorithms Dynamic Programming

slides
slides

Completeness and Model
Completeness and Model

Geometry and Statistics: Problems at the Interface
Geometry and Statistics: Problems at the Interface

3.3 Factor Rings
3.3 Factor Rings

... In the next section we will look at conditions on I under which R/I is an integral domain or a field, for a commutative ring R. Our final goal in this section is to prove the Fundamental Homomorphism Theorem for rings, which states that if φ : R −→ S is a ring homomorphism, then the image of φ is b ...
ppt,2.4Mb - ITEP Lattice Group
ppt,2.4Mb - ITEP Lattice Group

Math 216A Homework 8 “...the usual definition of a scheme is not
Math 216A Homework 8 “...the usual definition of a scheme is not

Chapter 1: Basic Arithmetic
Chapter 1: Basic Arithmetic

< 1 ... 106 107 108 109 110 111 112 113 114 ... 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