Matrix Inverse/Divide
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Revision as of 20:07, 7 May 2008 by Sudleyplace (talk  contribs) (New page: <table border="1" cellpadding="5" cellspacing="0" rules="none" summary=""> <tr> <td> <table border="0" cellpadding="5" cellspacing="0" summary=""> <tr> <td><apll>Z←⌹R</...)


R is a numeric scalar, vector or matrix. If R is a matrix, ≥/⍴R must be true.  
Z is a numeric array of rank ⍴⍴R, and shape ⌽⍴R. 
This feature implements matrix inversion using Singular Value Decomposition. In particular, this means that any numeric array meeting the rank and shape requirements above is invertible.
For example,
⌹3 3⍴0
0 0 0
0 0 0
0 0 0