drife wrote:
> Thanks John. Those are the steps I followed, and to no avail.
>
> Interestingly, I downloaded and installed SciPy, and ran the
> same eigenvector problem. SciPy greatly speeds up the
> calculation...was 1.5 hours using Numeric, now only 15 min
> with SciPy.
>
> Unfortunately, SciPy only solves ordinary and generalized
> eigenvalue problems of a square matrix. They do not test
> to see if the matrix is symmetric, then call the appropriate
> routine from LAPACK.
Note that scipy exposes most of lapack, so you could make the call you need
directly:
In [3]: scipy.linalg.lapack.get_lapack_funcs?
Type: function
Base Class: <type 'function'>
String Form: <function get_lapack_funcs at 0x40402c6c>
Namespace: Interactive
File: /usr/lib/python2.3/site-packages/scipy/linalg/lapack.py
Definition: scipy.linalg.lapack.get_lapack_funcs(names, arrays=(), debug=0,
force_clapack=1)
Docstring:
Return available LAPACK function objects with names.
arrays are used to determine the optimal prefix of
LAPACK routines.
If force_clapack is True then available Atlas routine
is returned for column major storaged arrays with
rowmajor argument set to False.
Cheers,
f
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