[Numpy-discussion] linear algebra help

josef.pktd@gmai... josef.pktd@gmai...
Sat May 16 08:34:15 CDT 2009

On Sat, May 16, 2009 at 9:01 AM, Quilby <quilby@gmail.com> wrote:
> Hi-
> This is what I need to do-
> I have this equation-
> Ax = y
> Where A is a rational m*n matrix (m<=n), and x and y are vectors of
> the right size. I know A and y, I don't know what x is equal to. I
> also know that there is no x where Ax equals exactly y. I want to find
> the vector x' such that Ax' is as close as possible to y. Meaning that
> (Ax' - y) is as close as possible to (0,0,0,...0).
> I know that I need to use either the lstsq function:
> http://www.scipy.org/doc/numpy_api_docs/numpy.linalg.linalg.html#lstsq
> or the svd function:
> http://www.scipy.org/doc/numpy_api_docs/numpy.linalg.linalg.html#svd
> I don't understand the documentation at all. Can someone please show
> me how to use these functions to solve my problem.


The new docs are more informative and are being improved in the online editor


any comments and improvement to the docs are very welcome.


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