Array Predicates: Difference between revisions

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== Permutation Vectors ==
== Permutation Vectors ==


In this case, index generator (<apll>⍳R</apll>) produces a Permutation Vector, as does deal (L<apll>?</apll>R) when the left and right arguments are the same &mdash; the results of these primitives are marked internally as Permutation Vectors.  Further use of such arrays maintains that property when operated on by rotate/reversal and grade up/down.  Moreover, both the grade and index of (<apll>L⍳R</apll>) primitives use a much faster (linear) algorithm than they would normally use.
In this case, index generator (<apll>⍳R</apll>) produces a Permutation Vector, as does deal (<apll>L?R</apll>) when the left and right arguments are the same &mdash; the results of these primitives are marked internally as Permutation Vectors.  Subsequent use of such arrays maintains that property when operated on by rotate/reversal and grade up/down.  Moreover, the two grade (<apll>⍋PV</apll> and <apll>⍒PV</apll>) and the index of (<apll>PV⍳R</apll>) primitives use a much faster (linear) algorithm than they would normally use when the appropriate argument is a Permutation Vector.

Revision as of 14:43, 18 August 2008

This clever idea of Bob Bernecky's [1] provides a performance improvement for certain expressions by marking certain arrays with special properties. For example, a permutation vector [2] has the property that it is invariant under various APL primitives such as rotate/reversal (L⌽R and ⌽R) and grade up/down (⍋R and ⍒R).

Bernecky has defined several array predicate properties, one of which has been implemented in NARS so far.

Permutation Vectors

In this case, index generator (⍳R) produces a Permutation Vector, as does deal (L?R) when the left and right arguments are the same — the results of these primitives are marked internally as Permutation Vectors. Subsequent use of such arrays maintains that property when operated on by rotate/reversal and grade up/down. Moreover, the two grade (⍋PV and ⍒PV) and the index of (PV⍳R) primitives use a much faster (linear) algorithm than they would normally use when the appropriate argument is a Permutation Vector.