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Recall Worksheet R 6.7 Grouping like terms Like terms: • have the
Recall Worksheet R 6.7 Grouping like terms Like terms: • have the

... • can have different coefficients; 2x and 5x are like terms • can have pronumerals in a different order; ab and ba are like terms • can have pronumerals raised to exactly the same power; 7x3 and 4x3 are like terms. Unlike terms: • have different pronumeral parts; 2x and 2y are unlike terms • can hav ...
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... Big Idea: It is customary with rational expressions to not have radicals in the denominator. To “get rid of” a sum of square roots in the denominator, multiply top and bottom by the conjugate of the denominator. Criteria for a Simplified Radical Expression: ...
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... This paper presents properties of polynomials Pn defined recursively by Pn+1 = (Pn + c − a)2 − c, especially in the case that c = a. Following methods in [1], we prove that for many of these polynomials, the zeros of Pn+1 interlace the set of zeros of all the polynomials P0 , P1 , . . . , Pn , in a ...
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... You can only combine terms that are like terms. You think of it as the reverse of the distributive property. It is like counting apples and oranges. You just count up how many variables you have the same and write the number in front of the common variable part. ...
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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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