A
Alexander Schmolck
I have recently uploaded mlabwrap v0.9b3, a high-level python to matlab(tm)
bridge, you can get it from
<http://mlabwrap.sourceforge.net/>
It should work with recent python >=2.3 and matlab(tm) >=6.0; I've used it
extensively myself but this is the first announcement to a wider public -- so
I'd very much like to hear some feedback (even if it's just "works fine").
Here is a short demo snippet:
GSVD Generalized Singular Value Decompostion.
SVD Singular value decomposition.
[...] mlab_command(*args, **kwargs)
SVD Singular value decomposition.
[U,S,V] = SVD(X) produces a diagonal matrix S, of the same
dimension as X and with nonnegative diagonal elements in
[...]
[ 0.25877718]])
'as
bridge, you can get it from
<http://mlabwrap.sourceforge.net/>
It should work with recent python >=2.3 and matlab(tm) >=6.0; I've used it
extensively myself but this is the first announcement to a wider public -- so
I'd very much like to hear some feedback (even if it's just "works fine").
Here is a short demo snippet:
GSVD Generalized Singular Value Decompostion.
SVD Singular value decomposition.
[...] mlab_command(*args, **kwargs)
SVD Singular value decomposition.
[U,S,V] = SVD(X) produces a diagonal matrix S, of the same
dimension as X and with nonnegative diagonal elements in
[...]
array([[ 3.86432845],>>> mlab.svd(array([[1,2], [1,3]]))
[ 0.25877718]])
'as