[SciPy-User] Linear algebra problem

[federico vaggi]

Hi,

I have a standard system, of type:

AX = B

Where:

X is a nxm matrix.

B is a mxn matrix.

A is a nxn matrix.

I have B and X, and I am trying to calculate A - however, B, is null matrix.

Using the default numpy solvers (
http://docs.scipy.org/doc/numpy/reference/generated/numpy.linalg.lstsq.html#numpy.linalg.lstsq)
I obtain the trivial correct solution of A being a null matrix.

What's the most robust way to search for the solution which minimizes the
residuals, while still not returning a null matrix of A?  X, is usually
rank deficient, so I know I won't have an exact solution.

Thanks for all the help,

Federico
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