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Dynamic Programming
Dynamic Programming

... Application domain of DP • Optimization problem: find a solution with optimal (maximum or minimum) value. • An optimal solution, not the optimal solution, since may more than one optimal solution, any one is OK. ...
3. The players: rings, fields, etc.
3. The players: rings, fields, etc.

... homomorphisms is not sufficient to assure that there is an inverse map of the same sort. The easiest example of such failure may be among continuous maps among topological spaces. For example, let X = {0, 1} with the indiscrete topology, in which only the whole set and the empty set are open. Let Y ...
Hecke algebras and characters of parabolic type of finite
Hecke algebras and characters of parabolic type of finite

the farrell-jones isomorphism conjecture for finite covolume
the farrell-jones isomorphism conjecture for finite covolume

"On Best Rational Approximations Using Large Integers", Ashley
"On Best Rational Approximations Using Large Integers", Ashley

... non-negative real numbers, non-negative integers, and positive integers, respectively. 2 The algorithms presented are based on the properties of the Farey series and the apparatus of continued fractions—because these are topics from number theory that seldom find application in practical computer ari ...
Pretty Good Privacy - New Mexico State University
Pretty Good Privacy - New Mexico State University

On smooth integers in short intervals under the Riemann Hypothesis
On smooth integers in short intervals under the Riemann Hypothesis

S-parts of terms of integer linear recurrence sequences Yann
S-parts of terms of integer linear recurrence sequences Yann

Algebraic Number Theory - School of Mathematics, TIFR
Algebraic Number Theory - School of Mathematics, TIFR

ON CUBIC RINGS AND QUATERNION RINGS In this paper, we
ON CUBIC RINGS AND QUATERNION RINGS In this paper, we

(pdf)
(pdf)

... The group structure of Up gives rise to a useful identity in modular exponentiation we will later refer back to called Fermat’s Little Theorem. In order to prove Fermat’s Little Theorem we first prove Lagrange’s Theorem. Definition 2.7. The order of an element x in a group is defined as the smallest ...
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Full-Text PDF

STP A Decision Procedure for Bit
STP A Decision Procedure for Bit

Using Prime Factors GCF and LCM
Using Prime Factors GCF and LCM

MONTE CARLO NUMERICAL METHOD
MONTE CARLO NUMERICAL METHOD

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SINGULARITIES ON COMPLETE ALGEBRAIC VARIETIES 1

PRIME NUMBERS We denote by N the set of natural numbers: 1,2
PRIME NUMBERS We denote by N the set of natural numbers: 1,2

THE INSOLUBILITY OF CLASSES OF DIOPHANTINE EQUATIONS
THE INSOLUBILITY OF CLASSES OF DIOPHANTINE EQUATIONS

lecture12-orig - School of Computer Science
lecture12-orig - School of Computer Science

... A Continued Fraction can have a finite or infinite number of terms. ...
Lecture 2
Lecture 2

A Word About Primitive Roots
A Word About Primitive Roots

Tamagawa Numbers of elliptic curves with $ C_ {13} $ torsion over
Tamagawa Numbers of elliptic curves with $ C_ {13} $ torsion over

Tamagawa Numbers of elliptic curves with C_{13}
Tamagawa Numbers of elliptic curves with C_{13}

... Lorenzini [9] for elliptic curves over Q and quadratic fields and by Krumm in his PhD thesis [8, Chapter 5] for number fields of degree up to 4. Let us give a short explanation of how cE can depend on E(K)tors . Suppose for simplicity that N = #E(K)tors is prime. Let E1 (Kv ) be the subgroup of E(Kv ...
THE BRAUER GROUP: A SURVEY Introduction Notation
THE BRAUER GROUP: A SURVEY Introduction Notation

slides
slides

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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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