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Name______________________________________ Block __
Name______________________________________ Block __

CS342 Data Structures - William Paterson University
CS342 Data Structures - William Paterson University

Partial Fractions
Partial Fractions

Problem set 6
Problem set 6

CHAPTER 07 - Prime recognition and factorization
CHAPTER 07 - Prime recognition and factorization

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Algorithms for Factoring Square-Free Polynomials over

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Complex Roots - dysoncentralne

CHAP12 Polynomial Codes
CHAP12 Polynomial Codes

... corrupt the text. Of course we could simply repeat the message. Wherever the two copies differ, the receiver will know that an error has occurred. But the receiver won't know, for each error, which version is correct. We’d need to transmit the message three times for the receiver to be able to corre ...
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Deployment of Sensing Devices on Critical Infrastructure

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Guided Notes 5_6

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Intermediate Algebra Chapter 6

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CSIS 5857: Encoding and Encryption

1 Name: Pre-Calculus Notes: Chapter 4
1 Name: Pre-Calculus Notes: Chapter 4

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Les. 6.7 Roots and Zeros.notebook

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Complex Factorizations of the Fibonacci and Lucas Numbers

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Lehmer`s problem for polynomials with odd coefficients

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leapYear.java 5 - Seton Hall University

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x -3 - Standards Aligned System

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Solution #13

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4.2

Numerical Computations in Linear Algebra
Numerical Computations in Linear Algebra

... As for the fractional part of a floating-point number it is important to realize that computing machines do not generally perform a proper round on representing numbers after floating-point ...
Faster Polynomial Multiplication via Discrete
Faster Polynomial Multiplication via Discrete

Factorization in Integral Domains II
Factorization in Integral Domains II

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Notes on generating Sobol sequences

Chapter Nine: Polynomials and Factoring
Chapter Nine: Polynomials and Factoring

< 1 ... 176 177 178 179 180 181 182 183 184 ... 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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