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Miraheze>Marshall (Created page with "In the APL array model, a matrix (sometimes "table") is an array with rank 2. While matrices are named after the objects in [https://en.wikipedia.org/wiki/Linear_algeb...") |
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In the APL [[array model]], a matrix (sometimes | In the APL [[array model]], a '''matrix''' (sometimes '''table''') is an array with [[rank]] 2. While matrices are named after the objects in [[wikipedia:linear algebra|linear algebra]], which are multiplied using the [[matrix product]], APL matrices do not have to be used in this way: they can store arbitrary data like any other array. | ||
Rank 2 is the smallest rank for which multidimensional array theory offers an advantage over one-dimensional lists. Unlike [[ | 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 programming language}} |