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3.1. Polynomial rings and ideals The main object of study in
3.1. Polynomial rings and ideals The main object of study in

Galois Field in Cryptography
Galois Field in Cryptography

New algorithm for the discrete logarithm problem on elliptic curves
New algorithm for the discrete logarithm problem on elliptic curves

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9.3 Lower and Upper Bounds for Real Roots of Polynomial Equations

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aa2.pdf
aa2.pdf

... An element a ∈ Endk V that satisfies the equivalent properties of Problem 3, resp. Problem 4, is called semisimple, resp. regular. 5. Let s, u ∈ Mm (k) be a pair of commuting matrices such that s is a diagonal matrix and u is a strictly upper triangular matrix (with zeros at the diagonal). Put a = s ...
Kadison–Singer conjecture for strongly Rayleigh measures
Kadison–Singer conjecture for strongly Rayleigh measures

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12 How to Compute the SVD

... An improvement over the Golub-Kahan algorithm is given by the Lawson-HansonChan algorithm. Its operations count is approximately 2mn2 + 2n3 which is more efficient if m > 35 n. The main idea for the Lawson-Hanson-Chan algorithm is to first compute a QR factorization of A, i.e., A = QR. Then one appl ...
Groebner([f1,...,fm], [x1,...,xn], ord)
Groebner([f1,...,fm], [x1,...,xn], ord)

... computes the Row Reduced Echelon Form of the augmented matrix [a,b] depending on parameters k1,...,ks. The second argument b can be a vector or a matrix. Any null row is deleted. If the parameters are omitted, then the internal function ROW_REDUCE is called for a more efficient computation. In this ...
A short elementary proof of the Ruffini
A short elementary proof of the Ruffini

1. Introduction Definition 1. Newton`s method is an iterative
1. Introduction Definition 1. Newton`s method is an iterative

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3.1 15. Let S denote the set of all the infinite sequences

... c) The set of all polynomials p(x) in P4 such that p(0) = 0 is a subspace of P4 becuase it satisfies both conditions of a subspace. To see this first note that all elements of the set described by (c) can be written in the form p(x) = ax3 + bx2 + cx where a, b, c are real numbers. The first conditio ...
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Problem Score 1 2 3 4 or 5 Total - Mathematics

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Notes on the Natural Numbers

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§3.1 Introduction / Newton-Cotes / The Trapezium Rule

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Leinartas`s Partial Fraction Decomposition
Leinartas`s Partial Fraction Decomposition

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Solutions to Homework 7 27. (Dummit

... clearly non-zero. Since K is a field it has no non-zero ideals and thus our map is injective. Since it is obviously surjective, we are done. (Dummit-Foote 13.2 #22) Let {αi } be a basis for K1 over F , and let {βj } be a basis for K2 over F . Then {αi ⊗ βj } is a basis for K1 ⊗F K2 over F . Define a ...
Chapter 13 Summary
Chapter 13 Summary

Simplifying, Multiplying, and Dividing Rational Expressions  Rational Expression
Simplifying, Multiplying, and Dividing Rational Expressions Rational Expression

Whole Numbers Extending The Natural Numbers Integer Number
Whole Numbers Extending The Natural Numbers Integer Number

Polynomial Functions
Polynomial Functions

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Polynomial greatest common divisor

In algebra, the greatest common divisor (frequently abbreviated as GCD) of two polynomials is a polynomial, of the highest possible degree, that is a factor of both the two original polynomials. This concept is analogous to the greatest common divisor of two integers.In the important case of univariate polynomials over a field the polynomial GCD may be computed, like for the integer GCD, by Euclid's algorithm using long division. The polynomial GCD is defined only up to the multiplication by an invertible constant.The similarity between the integer GCD and the polynomial GCD allows us to extend to univariate polynomials all the properties that may be deduced from Euclid's algorithm and Euclidean division. Moreover, the polynomial GCD has specific properties that make it a fundamental notion in various areas of algebra. Typically, the roots of the GCD of two polynomials are the common roots of the two polynomials, and this allows to get information on the roots without computing them. For example, the multiple roots of a polynomial are the roots of the GCD of the polynomial and its derivative, and further GCD computations allow to compute the square-free factorization of the polynomial, which provides polynomials whose roots are the roots of a given multiplicity.The greatest common divisor may be defined and exists, more generally, for multivariate polynomials over a field or the ring of integers, and also over a unique factorization domain. There exist algorithms to compute them as soon as one has a GCD algorithm in the ring of coefficients. These algorithms proceed by a recursion on the number of variables to reduce the problem to a variant of Euclid's algorithm. They are a fundamental tool in computer algebra, because computer algebra systems use them systematically to simplify fractions. Conversely, most of the modern theory of polynomial GCD has been developed to satisfy the need of efficiency of computer algebra systems.
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