Matrix: Difference between revisions
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Rank 2 is the smallest rank for which multidimensional array theory offers an advantage over one-dimensional lists. Unlike [[vector]]s, [[Transpose]] on matrices changes the order of data, although there is only one possible transpose so dyadic Transpose is never needed. The [[ravel order]] of a matrix has two possible definitions; APLs choose to keep the rows together (row major order) rather than the columns (column major). | Rank 2 is the smallest rank for which multidimensional array theory offers an advantage over one-dimensional lists. Unlike [[vector]]s, [[Transpose]] on matrices changes the order of data, although there is only one possible transpose so dyadic Transpose is never needed. The [[ravel order]] of a matrix has two possible definitions; APLs choose to keep the rows together (row major order) rather than the columns (column major). | ||
{{APL features}} | {{APL features}}[[Category:Kinds of array]] | ||