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Shiftless Decomposition and Polynomial

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... The discriminant can be positive, zero, or negative, and this determines how many solutions there are to the given quadratic equation. A positive discriminant indicates that the quadratic has two distinct real number solutions. ...
Repeated binomial coefficients and Fibonacci numbers
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... double precision real form. N was found to lie about halfway between two consecutive triangular numbers. These results for N were independently checked by Cecil Kaplinsky using multiprecision arithmetic on an IBM 360. In a personal letter, D. H. Lehmer pointed out that one could determine that N was ...
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... A really clever algorithm, due to Euclid, uses the fact that any common factor of a and b also divides b-a, b-2a, b-3a, and so on. Divide the larger of the two numbers by the smaller and take the remainder. If the remainder is 0 the smaller number is the GCF. If not, the remainder and the smaller n ...
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... answers will also be found on a graph (called a parabola) as x-intercepts. Note: A quadratic equation can have two solutions, one solution (a double root-touches the xaxis and turns around) or no real solutions (graph does not cross the x-axis). Solving by Factoring: 1) Get the equation equal to zer ...
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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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