factorization

As nouns the difference between racecar and factorization

is that racecar is while factorization is (mathematics): the process of creating a list of factors.

As a noun factorization

is : The process of creating a list of factors.

As a verb disassemble is

to take to pieces; to reverse the process of assembly.

In mathematics terms the difference between factorable and factorization

is that factorable is capable of being factored. For integers synonyms are composite, non-prime while factorization is : An expression listing items that, when multiplied together, will produce a desired quantity.

As an adjective factorable

is capable of being factored. For integers synonyms are composite, non-prime.

As a noun factorization is

: The process of creating a list of factors.

As nouns the difference between factors and factorization

is that factors is while factorization is (mathematics): the process of creating a list of factors.

As a verb factors

is (factor).

is likely misspelled.

has no English definition.

As a noun factorization

is : The process of creating a list of factors.

As nouns the difference between factorization and factoring

is that factorization is (mathematics): the process of creating a list of factors while factoring is a financial transaction whereby a business sells its accounts receivable to a third party (called a factor) at a discount.

As a verb factoring is

.

As nouns the difference between taxonomy and factorization

is that taxonomy is the science or the technique used to make a classification while factorization is (mathematics): the process of creating a list of factors.

In mathematics terms the difference between factorization and refactorization

is that factorization is : An expression listing items that, when multiplied together, will produce a desired quantity while refactorization is a second or subsequent factorization.

As nouns the difference between factorization and eigendecomposition

is that factorization is : The process of creating a list of factors while eigendecomposition is the factorization of a matrix into a canonical form, whereby the matrix is represented in terms of its eigenvalues and eigenvectors.