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Number Theory Learning Module 3 — The Greatest Common
Number Theory Learning Module 3 — The Greatest Common

Algorithms for Factoring Integers of the Form n = p * q
Algorithms for Factoring Integers of the Form n = p * q

Introduction to finite fields
Introduction to finite fields

Exam 2 Solutions
Exam 2 Solutions

On simultaneous rational approximation to a real
On simultaneous rational approximation to a real

File
File

Comparing Integers
Comparing Integers

The Hasse–Minkowski Theorem Lee Dicker University of Minnesota, REU Summer 2001
The Hasse–Minkowski Theorem Lee Dicker University of Minnesota, REU Summer 2001

... To prove the theorem for n = 4, we show that there exists a rational number a, such that both g and h represent a in Q. Let p1 , . . . , ps be all the distinct odd primes that divide a1 , a2 , a3 , a4 . For each of these primes and the prime p = 2 choose a representation of zero in Qp : a1 ξ12 + a2 ...
Problem Set #1 - Harvard Math Department
Problem Set #1 - Harvard Math Department

U7D2 Notes Rational Exponents
U7D2 Notes Rational Exponents

... N.RN.2 – Rewrite expressions involving radicals and rational exponents using properties of exponents. N.RN.3 – Explain why the sum or product of two rational numbers is rational; that the sum of a rational number and an irrational number is irrational; and that the product of a nonzero rational numb ...
Congruence Properties of the Function that Counts Compositions
Congruence Properties of the Function that Counts Compositions

Key Concepts. Rational Exponents
Key Concepts. Rational Exponents

LSU College Readiness Program COURSE
LSU College Readiness Program COURSE

Determine whether the given quadratic function has a minimum
Determine whether the given quadratic function has a minimum

LSU College Readiness Program COURSE
LSU College Readiness Program COURSE

LSU College Readiness Program COURSE
LSU College Readiness Program COURSE

Note
Note

...  A function f is a rule that assigns to each element x from some set D exactly one element, ( ), in a set E.  D is a set of real numbers, called the domain of the function.  E is a set of real numbers, called the range of the function, it is the set of all possible values of ( ) defined for every ...
- Triumph Learning
- Triumph Learning

MATH TIPS - Project Goodwill Africa
MATH TIPS - Project Goodwill Africa

NT5
NT5

Quadratic Equations
Quadratic Equations

For each of the following sets, determine whether {2}
For each of the following sets, determine whether {2}

Intro/Example How to complete the square
Intro/Example How to complete the square

Set 2 - ICTP
Set 2 - ICTP

HW 2 Solutions
HW 2 Solutions

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Factorization



In mathematics, factorization (also factorisation in some forms of British English) or factoring is the decomposition of an object (for example, a number, a polynomial, or a matrix) into a product of other objects, or factors, which when multiplied together give the original. For example, the number 15 factors into primes as 3 × 5, and the polynomial x2 − 4 factors as (x − 2)(x + 2). In all cases, a product of simpler objects is obtained.The aim of factoring is usually to reduce something to “basic building blocks”, such as numbers to prime numbers, or polynomials to irreducible polynomials. Factoring integers is covered by the fundamental theorem of arithmetic and factoring polynomials by the fundamental theorem of algebra. Viète's formulas relate the coefficients of a polynomial to its roots.The opposite of polynomial factorization is expansion, the multiplying together of polynomial factors to an “expanded” polynomial, written as just a sum of terms.Integer factorization for large integers appears to be a difficult problem. There is no known method to carry it out quickly. Its complexity is the basis of the assumed security of some public key cryptography algorithms, such as RSA.A matrix can also be factorized into a product of matrices of special types, for an application in which that form is convenient. One major example of this uses an orthogonal or unitary matrix, and a triangular matrix. There are different types: QR decomposition, LQ, QL, RQ, RZ.Another example is the factorization of a function as the composition of other functions having certain properties; for example, every function can be viewed as the composition of a surjective function with an injective function. This situation is generalized by factorization systems.
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