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Lecture Notes (pptx)
Lecture Notes (pptx)

... Ignore multiplicative constants and small inputs (order-of, big-O) Determine number of steps for either ...
Alg 3 PPT Notes 1.8
Alg 3 PPT Notes 1.8

ARITHMETIC OF CURVES OVER TWO DIMENSIONAL LOCAL
ARITHMETIC OF CURVES OVER TWO DIMENSIONAL LOCAL

O(M(N)) - Princeton CS
O(M(N)) - Princeton CS

Scheuermann G., Visualizing non linear vector field topology
Scheuermann G., Visualizing non linear vector field topology

... This section shows a way for the visualization of nonlinear vector field topology. Our central point is that in conventional approaches each grid cell contains a linear or bilinear vector field and can not model a non-linear local behavior. This can be seen in an unstructured grid consisting of tria ...
orthogonal arrays application to pseudorandom numbers generation
orthogonal arrays application to pseudorandom numbers generation

Elementary Properties of the Integers
Elementary Properties of the Integers

MIDTERM EXAM Exercise 1 (6 pts)
MIDTERM EXAM Exercise 1 (6 pts)

... Explain in few lines how to implement two stacks using only one array. The stack routines should not declare an overflow unless every slot in the array is used. ...
Recall that the zeros of a function f are the solutions or roots of the
Recall that the zeros of a function f are the solutions or roots of the

Modular Arithmetic
Modular Arithmetic

Selected Applications of LLL in Number Theory
Selected Applications of LLL in Number Theory

... euclidean norm such that x1 s1 + · · · + xm sm = gcd(s1 , . . . , sm ). The method is generalized to the problem of producing small unimodular transformation matrices for computing the Hermite Normal Form of an integer matrix (in [HavMajMat98]) and for computing the Smith Normal Form (in [Matwww] an ...
A LOWER BOUND FOR AVERAGE VALUES OF DYNAMICAL
A LOWER BOUND FOR AVERAGE VALUES OF DYNAMICAL

Polynomials - Multiplying Polynomials
Polynomials - Multiplying Polynomials

Substitution method
Substitution method

3.1 Quadratic Functions
3.1 Quadratic Functions

prime factorization
prime factorization

Full text
Full text

... Qk , one is negative, one is positive, and all the others are nonreal. Then the zeros of Qk+1 , obtained by applying the functions `(x) and u(x) in (2) to the zeros of Qk , have the same distribution: one negative, one positive, and all others nonreal. Therefore, this distribution holds for every n ...
5.3 Finding the GCF
5.3 Finding the GCF

Smooth numbers and the quadratic sieve
Smooth numbers and the quadratic sieve

Chapter Three {Word doc}
Chapter Three {Word doc}

Talk on Euler`s function - Dartmouth Math Home
Talk on Euler`s function - Dartmouth Math Home

Parallel Prefix
Parallel Prefix

Exact MAP Estimates by (Hyper)tree Agreement
Exact MAP Estimates by (Hyper)tree Agreement

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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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