Outer Product: Difference between revisions
m (→Documentation) 

Line 90:  Line 90:  
* [https://help.dyalog.com/latest/#Language/Primitive Operators/Outer Product.htm Dyalog]  * [https://help.dyalog.com/latest/#Language/Primitive Operators/Outer Product.htm Dyalog]  
* [https://microapl.com/apl_help/ch_020_020_890.htm APLX]  * [https://microapl.com/apl_help/ch_020_020_890.htm APLX]  
* J [https://www.jsoftware.com/help/dictionary/d420.htm Dictionary], https://code.jsoftware.com/wiki/Vocabulary/slash#dyadic NuVoc]  * J [https://www.jsoftware.com/help/dictionary/d420.htm Dictionary], [https://code.jsoftware.com/wiki/Vocabulary/slash#dyadic NuVoc]  
{{APL builtins}}[[Category:Primitive operators]]  {{APL builtins}}[[Category:Primitive operators]] 
Revision as of 13:07, 5 September 2021
∘.

Outer Product (∘.
), or Table is a monadic operator, which will produce a dyadic function when applied with a dyadic function. In APL, the outer product is a generalisation of the matrix product, which allows not only multiplication, but any dyadic function given. In short, outer product allows you to apply a given function on each element of the left array with each element of the right array. Basically, a shortcut for constructing nested for loops.
Syntax
By right, a monadic operator should be a single glyph, and the operand should be on the left. However, for historical reasons, the outer product operator is not only a biglyph denoted as ∘.
, the operand also appears on the right instead.
Notably, this syntactical inconsistency is resolved in J and BQN, where the outer product operator, called Table, and denoted /
and ⌜
respectively, abide by the usual operator syntax.
Examples
x ← 1 2 3 y ← 4 5 6 x ∘., y ⍝ visualizing outer product ┌───┬───┬───┐ │1 4│1 5│1 6│ ├───┼───┼───┤ │2 4│2 5│2 6│ ├───┼───┼───┤ │3 4│3 5│3 6│ └───┴───┴───┘ x ∘.× y ⍝ matrix multiplication 4 5 6 8 10 12 12 15 18 ⍝ works for multidimensional arrays as well y←2 3 ⍴ 'abcdef' x←2 2 ⍴ ⍳4 x∘.,y ┌───┬───┬───┐ │1 a│1 b│1 c│ ├───┼───┼───┤ │1 d│1 e│1 f│ └───┴───┴───┘ ┌───┬───┬───┐ │2 a│2 b│2 c│ ├───┼───┼───┤ │2 d│2 e│2 f│ └───┴───┴───┘ ┌───┬───┬───┐ │3 a│3 b│3 c│ ├───┼───┼───┤ │3 d│3 e│3 f│ └───┴───┴───┘ ┌───┬───┬───┐ │4 a│4 b│4 c│ ├───┼───┼───┤ │4 d│4 e│4 f│ └───┴───┴───┘
Applications
Outer product is useful for solving problems that intuitively requires a polynomial time algorithm. However, this also indicates that such an algorithm might not be the fastest solution.
For example, suppose we want to find duplicated elements in an nonnested array. Intuitively speaking, the easiest way to solve this problem is to compare each element of the array with all other elements, which is exactly what an outer product does.
x ← 1 2 3 2 ⎕ ← matrix ← x∘.=x ⍝ compare elements with each other using equal 1 0 0 0 0 1 0 1 0 0 1 0 0 1 0 1 ⎕ ← count ← +/matrix ⍝ get the number of occurence of each element 1 2 1 2 ⎕ ← indices ← count ≥ 2 ⍝ get the indices of elements which occured more than once 0 1 0 1 ⎕ ← duplicated ← ∪ indices/x 2 ∪((+/x∘.=x)≥2)/x ⍝ everything above in one line 2 (⊢∪⍤/⍨2≤(+/∘.=⍨)) x ⍝ pointfree/tacit version 2
Using similar techniques, we can define a function that generates prime numbers by using an outer product of Residue.
primes ← {x←1↓⍳⍵ ⋄ (2>+⌿0=x∘.x)/x} primes 10 2 3 5 7 primes 20 2 3 5 7 11 13 17 19
Again, using outer product might not yield the fastest solution. There are faster solutions such as Sieve of Eratosthenes.
External links
Documentation