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Math Homework Helper 5th
Math Homework Helper 5th

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... 1) If we divide P(x) by x  b (with b  0 ) using synthetic division, and if the row that contains the quotient and remainder has no negative entry, then b is an upper bound for the real zeros of P. 2) If we divide P(x) by x  a (with a  0 ) using synthetic division, and if the row that contains th ...
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... 3/4/16. Find, with proof, a polynomial f (x, y, z) in three variables, with integer coefficients, such that for all integers a, b,√ c, the √ sign of f (a, b, c) (that is, positive, negative, or zero) is the same as the sign of a + b 3 2 + c 3 4. Credit This problem was devised by Dr. Erin Schram of ...
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... If you have a polynomial and the first term ( x 2 term) and the last term (the constant term) are both perfect squares figure out what a and b are and see if they produce the 2ab term. Note about variables that are perfect squares: if you have even powers then you can break them down into perfect sq ...
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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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