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If two or more factors of a polynomial are identical, then the polynomial is a multiple of the square of this factor. The multiple factor is also a factor of the polynomial's derivative (with respect to any of the variables, if several). For univariate polynomials, multiple factors are equivalent to multiple roots (over a suitable extension field).
For more factorization algorithms see e.g. Knuth's book The Art of Computer Programming volume 2. Algorithm Cantor–Zassenhaus algorithm. Input: A finite field F q of odd order q. A monic square free polynomial f in F q [x] of degree n = rd, which has r ≥ 2 irreducible factors each of degree d Output: The set of monic irreducible factors of f.
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.
The continued fraction method is based on Dixon's factorization method. It uses convergents in the regular continued fraction expansion of , +. Since this is a quadratic irrational, the continued fraction must be periodic (unless n is square, in which case the factorization is obvious).
Instead, sparse matrix solving algorithms such as Block Lanczos or Block Wiedemann are used. Since m is a root of both f and g mod n , there are homomorphisms from the rings Z [ r 1 ] and Z [ r 2 ] to the ring Z / n Z (the integers modulo n ), which map r 1 and r 2 to m , and these homomorphisms will map each "square root" (typically not ...
The SNFS works as follows. Let n be the integer we want to factor. As in the rational sieve, the SNFS can be broken into two steps: First, find a large number of multiplicative relations among a factor base of elements of Z/nZ, such that the number of multiplicative relations is larger than the number of elements in the factor base.
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.
Applicable to: square, hermitian, positive definite matrix Decomposition: =, where is upper triangular with real positive diagonal entries Comment: if the matrix is Hermitian and positive semi-definite, then it has a decomposition of the form = if the diagonal entries of are allowed to be zero