
Cards HS Number and Quantity
... number i such that i2 = –1, and every complex number has the form a + bi with a and b real. ...
... number i such that i2 = –1, and every complex number has the form a + bi with a and b real. ...
MATH 0305
... a) One fourth of the difference of two numbers increased by five ____________________ b) Five less that the product of a number and two ________________________________ c) The ratio of a number cubed to negative nine __________________________________ d) The sum of a number and three, all raised to ...
... a) One fourth of the difference of two numbers increased by five ____________________ b) Five less that the product of a number and two ________________________________ c) The ratio of a number cubed to negative nine __________________________________ d) The sum of a number and three, all raised to ...
Flip Book EE.2
... Write, read, and evaluate expressions in which letters stand for numbers. a. Write expressions that record operations with numbers and with letters standing for numbers. For example, express the calculation “Subtract y from 5” as 5 – y. b. Identify parts of an expression using mathematical terms (su ...
... Write, read, and evaluate expressions in which letters stand for numbers. a. Write expressions that record operations with numbers and with letters standing for numbers. For example, express the calculation “Subtract y from 5” as 5 – y. b. Identify parts of an expression using mathematical terms (su ...
Polynomials over finite fields
... 1 dimensional affine subspaces = lines Lx,y = { x+λy | λ Є F } 2 dimensional affine subspaces = planes Px,y,z = { x+λy+μz | λ,μ Є F } n-1 dimensional affine subspaces = hyperplanes ...
... 1 dimensional affine subspaces = lines Lx,y = { x+λy | λ Є F } 2 dimensional affine subspaces = planes Px,y,z = { x+λy+μz | λ,μ Є F } n-1 dimensional affine subspaces = hyperplanes ...
Unit 5 Home Work Packet ~ Polynomial Functions
... zeros. (Remember, imaginary and irrational solutions always come in pairs! You may have to find the other half of the ...
... zeros. (Remember, imaginary and irrational solutions always come in pairs! You may have to find the other half of the ...
Definition of the Quadratic Formula
... Often, the simplest way to solve for the value of x when you are given an equation similar to is to factor the quadratic, set each factor equal to zero, and then solve each factor. But sometimes the quadratic is too messy, or it doesn't factor at all, or you just don't feel like factoring. While fac ...
... Often, the simplest way to solve for the value of x when you are given an equation similar to is to factor the quadratic, set each factor equal to zero, and then solve each factor. But sometimes the quadratic is too messy, or it doesn't factor at all, or you just don't feel like factoring. While fac ...
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.