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Difference between revisions of "Multiplication"

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*[[Long multiplication]]: very fast for small factors, but slower than the other methods when the factors are large.
 
*[[Long multiplication]]: very fast for small factors, but slower than the other methods when the factors are large.
 
*[[Karatsuba multiplication]]: useful for numbers in the range of about 1000-10000 digits.
 
*[[Karatsuba multiplication]]: useful for numbers in the range of about 1000-10000 digits.
*[[Fourier transform multiplication]]: uses [[Fast Fourier Transform|FFT]] to multiply extremely large numbers faster than the previous methods.
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*[[Fourier transform multiplication]]: uses [[Fast Fourier transform|FFT]] to multiply extremely large numbers faster than the previous methods.
 
**[[Schöhage-Strassen]]: useful for numbers in the range of about 10000-40000+ digits.
 
**[[Schöhage-Strassen]]: useful for numbers in the range of about 10000-40000+ digits.
 
**[[Färer]]: currently of theoretical interest only.
 
**[[Färer]]: currently of theoretical interest only.
 
[[Category:Math]]
 
[[Category:Math]]

Revision as of 12:21, 21 January 2019

Multiplication is the process of calculating the result when a number a is added to itself b times. The result of a multiplication is called the product of a and b, and each of the numbers is called a factor of the product ab.

Multiplication is denoted a×b,(a)(b), or simply ab. The symbol '×' is known as the multiplication sign.

The result of multiplying no numbers (empty product) is always 1 (the multiplicative identity, see below). The most common occurences are in exponentiation (a0=1) and factorial (0!=1).

Multiplication properties

Associative property

(xy)z=x(yz)

Commutative property

xy=yx

Distributive property

x(y+z)=xy+xz

Identity element

1x=x

Multiplication by zero

0x=0

Multiplication algorithms

When the product fits in a variable supported by the programming language, or in a register when programming in assembler, the multiplication is trivial. However if the largest available register is n bits wide the factors can only be n/2 bits wide each.

Otherwise there are several algorithms used to calculate products, depending on the size of the factors: