Array Predicates: Difference between revisions
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This clever idea of Bob Bernecky's [http://www.snakeisland.com/predicat.pdf] provides a performance improvement for certain expressions by marking certain arrays with special properties. For example, a | This clever idea of Bob Bernecky's [http://www.snakeisland.com/predicat.pdf] provides a performance improvement for certain expressions by marking certain arrays with special properties. For example, the property of being a Permutation Vector [http://mathworld.wolfram.com/Permutation.html] is invariant (is still a Permutation Vector, albeit a different one) under various APL primitives such as rotate/reversal (<apll>L⌽PV</apll> and <apll>⌽PV</apll>) and grade up/down (<apll>⍋PV</apll> and <apll>⍒PV</apll>). | ||
Bernecky has defined several array predicate properties, one of which has been implemented in NARS so far. | Bernecky has defined several array predicate properties, one of which has been implemented in NARS so far. | ||
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== Permutation Vectors == | == Permutation Vectors == | ||
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 — 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 | 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 — 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, given that the appropriate argument is a Permutation Vector. | ||
Revision as of 14:51, 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, the property of being a Permutation Vector [2] is invariant (is still a Permutation Vector, albeit a different one) under various APL primitives such as rotate/reversal (L⌽PV and ⌽PV) and grade up/down (⍋PV and ⍒PV).
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, given that the appropriate argument is a Permutation Vector.
