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(January 14, 2009) [08.1] Let R be a principal ideal domain. Let I be
(January 14, 2009) [08.1] Let R be a principal ideal domain. Let I be

Improved Factoring of RSA Modulus
Improved Factoring of RSA Modulus

Univariate polynomial real root isolation: Continued Fractions revisited
Univariate polynomial real root isolation: Continued Fractions revisited

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Task - Illustrative Mathematics

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B2B

... It can navigate a maze relatively reliably following the RHR. Occasionally it does slip up due to semi known bugs in implemented algorithm. It can measure any distance traveled in a straight line and report how many blocks it has moved audibly. It can also enter a debug mode based on the current al ...
RSA cryptosystem with large key length
RSA cryptosystem with large key length

What is a polynomial? Motivating the university
What is a polynomial? Motivating the university

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Polynomials and Taylor`s Approximations

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Section 5.1

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Homework2-F14-LinearAlgebra.pdf

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Mathematics 3201 Unit 5: Polynomial Functions and 4.5 Solving

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On the Relation between Polynomial Identity Testing and Finding

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Warm Up - bishopa-ALG3

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Chapter 2: Fundamentals of the Analysis of Algorithm Efficiency

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Chapter 8 Parent Description

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CHAPTER 2 POLYNOMIAL & RATIONAL FUNCTIONS

MA.912.A.4.2: Add, subtract, and multiply polynomials.
MA.912.A.4.2: Add, subtract, and multiply polynomials.

Section X.56. Insolvability of the Quintic
Section X.56. Insolvability of the Quintic

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Some field theory

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Maple Lecture 4. Algebraic and Complex Numbers

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Number Theory Week 9

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Polynomials with integer values.

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lecture2-planning-p

Reverse Factorization and Comparison of Factorization Al
Reverse Factorization and Comparison of Factorization Al

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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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