Also found in: Thesaurus, Wikipedia.


tr.v. fac·tor·ized, fac·tor·iz·ing, fac·tor·iz·es Mathematics
To factor.

fac′tor·i·za′tion (-tər-ĭ-zā′shən) n.
American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.
ThesaurusAntonymsRelated WordsSynonymsLegend:
Noun1.factorization - (mathematics) the resolution of an entity into factors such that when multiplied together they give the original entity
resolving, resolution - analysis into clear-cut components
math, mathematics, maths - a science (or group of related sciences) dealing with the logic of quantity and shape and arrangement
Based on WordNet 3.0, Farlex clipart collection. © 2003-2012 Princeton University, Farlex Inc.
References in periodicals archive ?
It's also equipped with a repeating decimal display, random integer generator, prime factorization, and more.
The leader of the Alliance for the Albanians, Ziadin Sela, assesses that the incapability for factorization of the Albanians, derives from lack of organization of the Albanian parties in power.
In this paper, we present improved CDA on Grain v1 based on a factorization simplification method.
This first volume covers basic concepts, lattices, unary and binary operations, fundamental algebraic results, and unique factorization. They include chapter-end exercises and an additional biography with recent references.
In this paper, an A-EFIE-based hierarchical (H-) matrix factorization algorithm is developed to yield a fast direct solver as well as a good preconditioner of iterative solvers.
(2) Compute the QR factorization of [R.sub.0] : [R.sub.0] = [Y.sub.1][[rho].sub.0].
Recently, nonnegative matrix factorization (NMF) [1] incorporates nonnegativity constraint to obtain parts-based representation of data, and thus it has been widely applied in many applications, such as document clustering [2, 3], image recognition [4, 5], audio processing [6], and video processing [7].
Factorization machines (FMs) [12] are a supervised learning approach that embed features into a latent space and model the interactions between features via inner product of their embedding vectors.
The concept of the Markowitz algorithm [9] is choosing the element with minimum Markowitz factor as the pivot at each step of the factorization. If the number of nonzero elements in row i is r and the number of nonzero elements in column j is c, the Markowitz factor of element (i, j) is as follows:
Let QR = (iI - T) be a QR factorization of (iI - T) such that the diagonal entries of R are real.
In the direct method, when focusing on factorization algorithms, we have LU decomposition, QR decomposition, and Cholesky decomposition [1].