[Numpy-discussion] How to solve homogeneous linear equations with NumPy?
Charles R Harris
charlesr.harris@gmail....
Thu Dec 3 11:17:42 CST 2009
On Thu, Dec 3, 2009 at 7:59 AM, Peter Cai <newptcai@gmail.com> wrote:
> Thanks, I've read some explanations on wikipedia and finally found out
> how to solve homogeneous equations by singular value decomposition.
>
>
Note that the numpy svd doesn't quite conform to what you will see in those
sources and the documentation is confusing. Numpy returns
u,s,v and a = u*diag(s)*v, whereas the decomposition is normally written as
u*diag(s)*v^T, i.e., the numpy v is the transpose (Hermitean conjugate) of
the conventional v.
Chuck
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