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The polynomial x 2 + cx + d, where a + b = c and ab = d, can be factorized into (x + a)(x + b).. In mathematics, factorization (or factorisation, see English spelling differences) or factoring consists of writing a number or another mathematical object as a product of several factors, usually smaller or simpler objects of the same kind.
Factoring (finance), a form of commercial finance; Factorization, the mathematical concept of splitting an object into multiple parts multiplied together; Integer factorization, splitting a whole number into the product of smaller whole numbers; Decomposition (computer science) A rule in resolution theorem proving, see Resolution (logic)#Factoring
A general-purpose factoring algorithm, also known as a Category 2, Second Category, or Kraitchik family algorithm, [10] has a running time which depends solely on the size of the integer to be factored. This is the type of algorithm used to factor RSA numbers. Most general-purpose factoring algorithms are based on the congruence of squares method.
Factor (Unix), a utility for factoring an integer into its prime factors; Factor, a substring, a subsequence of consecutive symbols in a string; Authentication factor, a piece of information used to verify a person's identity for security purposes; Decomposition (computer science), also known as factoring, the organization of computer code
Fermat's factorization method, named after Pierre de Fermat, is based on the representation of an odd integer as the difference of two squares: =. That difference is algebraically factorable as (+) (); if neither factor equals one, it is a proper factorization of N.
Modern algorithms and computers can quickly factor univariate polynomials of degree more than 1000 having coefficients with thousands of digits. [3] For this purpose, even for factoring over the rational numbers and number fields, a fundamental step is a factorization of a polynomial over a finite field.
Integer factorization is the process of determining which prime numbers divide a given positive integer.Doing this quickly has applications in cryptography.The difficulty depends on both the size and form of the number and its prime factors; it is currently very difficult to factorize large semiprimes (and, indeed, most numbers that have no small factors).
It is a general-purpose algorithm, meaning that it is suitable for factoring any integer n, not depending on special form or properties. It was described by D. H. Lehmer and R. E. Powers in 1931, [1] and developed as a computer algorithm by Michael A. Morrison and John Brillhart in 1975. [2]