[SciPy-user] solving linear equations ?
Wed Nov 5 13:46:59 CST 2008
(forgive my math is a bit rusty, so I don't know the right terms anymore)
If I want to solve a set of linear equations,
I use in MatLab:
a \ b
this works also if I have too many equations, so more columns than rows.
In Numpy for Matlab users
I read this:
linalg.solve(a,b) if a is square
I find the name already suspicious, sound like least square,
which is confirmed by the help.
So I guess the translation from MatLab to Numpy is not correct.
Is there a function to reduce the number of columns / remove the
redundancy, so I end up with a square matrix ?
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