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Algorithms and Data Structures
Algorithms and Data Structures

CH 7 - FACTORING NUMBERS
CH 7 - FACTORING NUMBERS

Intermediate Algebra - Seminole State College
Intermediate Algebra - Seminole State College

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... To decipher k, how many values do we need to try ? Why ? i mod n = (i + kn) mod n for all integers k. ...
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On the Sum of a Prime and a Square

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Unit III - Solving Polynomial Equations
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Non-standard number representation: computer arithmetic, beta

... We refer the reader to [17] and to [42]. An alphabet A is a finite set. A finite sequence of elements of A is called a word, and the set of words on A is the free monoid A∗ . The empty word is denoted by ε. The set of infinite sequences or infinite words on A is denoted by AN . Let v be a word of A∗ ...
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Chapter 2 - Oregon Institute of Technology

Family Letter 3
Family Letter 3

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Unit Overview - Orange Public Schools

Strong isomorphism reductions in complexity theory
Strong isomorphism reductions in complexity theory

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Full text

... disjoint coverings generated by linear recurrences of every order n. In the case of the Fibonacci recurrence un+2 =un+i + urn they constructed a regular covering which is not disjoint and asked whether a disjoint covering in this case exists as well. The following theorem answers this ...
Lecture06
Lecture06

< 1 ... 93 94 95 96 97 98 99 100 101 ... 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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