Hello,

It seems to me that the SVD implementation from
~system\packages\math\svd.ijs is inefficient for large matrices (i.e.
calculating the SVD of the color matrices of an 640x500 image never
ends..).

You may even try: $ svd i. 200 200
(in NumPy it takes less than a second)

Before I reinvent the wheel, is there an efficient implementation of
SVD available?

Yoel
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