Re: [ojAlgo-user] How to compute the (Moore-Penrose) pseudo-inverse of a matrix.

[Anders P. <an...@op...>]

It should return the pseudoinverse. How are the results different?

Please verify these basic properties on both the ojAlgo and numpy results.

https://en.wikipedia.org/wiki/Moore–Penrose_pseudoinverse#Basic_properties

If both fulfil those then check which has the smallest frobeninius norm.


Let me know what you learn.


/Anders



> On 19 apr. 2016, at 04:56, 常 超 <cha...@ho...> wrote:
> 
> Hi,everyone.
> 
> Is there a way to calculate the  (Moore-Penrose) pseudo-inverse of a matrix  just as numpy.linalg.pinv() does in python?
> I used SingularValue.makePrimitive().invert(matrix),but the result does not  equals to the pinv result.
> 
> Reference:
> http://docs.scipy.org/doc/numpy-1.10.0/reference/generated/numpy.linalg.pinv.html
> 
> Thanks in advance.
> Chao.
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