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Lesson 2: Introduction to Variables
Lesson 2: Introduction to Variables

Non-coding RNA Identification Using Heuristic Methods
Non-coding RNA Identification Using Heuristic Methods

Final with solutions
Final with solutions

The expected number of random elements to generate a finite
The expected number of random elements to generate a finite

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Notes - Cornell Computer Science

a, b
a, b

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A Generalization of Wilson`s Theorem

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Final Exam CMPE-553 06.01.2010 (120 min, 40 points) St. Name

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4 slides/page

... • Subset: A ⊂ B if every element of A is an element of B ◦ Note: Lots of people (including me, but not the authors of the text) usually write A ⊂ B only if A is a strict or proper subset of B (i.e., A 6= B). I write A ⊆ B if A = B is possible. ...
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english, pdf

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- Ignacio School District

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Polynomials - hancockhighmath

Algorithmentheorie 03
Algorithmentheorie 03

... Each odd prime number p divides 2p-1 – 1. Examples: p = 17, 216 – 1 = 65535 = 17 * 3855 p = 23, 222 – 1 = 4194303 = 23 * 182361 Simple primality test: 1 Calculate z = 2n-1 mod n 2 if z = 1 3 then n is possibly prime 4 else n is definitely not prime Advantage: This only takes polynomial time ...
Algorithms with numbers
Algorithms with numbers

SPRINGER’S REGULAR ELEMENTS OVER ARBITRARY FIELDS
SPRINGER’S REGULAR ELEMENTS OVER ARBITRARY FIELDS

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Chapter 9 Public Key Cryptography and RSA

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Cryptography Midterm Solutions

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(pdf)

... Q[x] with 1 ≤ deg g(x), deg h(x) < m such that mα (x) = g(x)h(x). Since α is a root of mα (x), then 0 = mα (α) = g(α)h(α). This implies that either g(α) = 0 or h(α) = 0. However, both g(x) and h(x) have smaller degrees than mα (x), which contradicts the fact that mα is the smallest degree polynomial ...
Slides Set 1 - faculty.cs.tamu.edu
Slides Set 1 - faculty.cs.tamu.edu

... The second question concerning the testing of primality is simpler. If a number x is not prime, then it has a divisor d in the range 2<= d <= sqrt(x). Trial divisions are fast enough here! Simply check whether any number d in the range 2 <= d < 100 000 divides a 10-digit chunk of e. ...
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aa5.pdf

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PowerPoint Presentation - Computer Science University of Victoria

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Mutually Orthogonal Latin Squares and Finite Fields

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External Memory Value Iteration

< 1 ... 114 115 116 117 118 119 120 121 122 ... 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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