[SciPy-User] scipy.interpolate.rbf sensitive to input noise ?

[Robert Kern]

On Tue, Feb 23, 2010 at 11:43, denis <denis-bz-gg at t-online.de> wrote:
> Robert, Josef,
>  thanks much for taking the time to look at RBF some more.
> Summary, correct me:
>    A - smooth*I in rbf.py is a sign error (ticket ?)

Not necessarily. It seems to work well in at least some cases. Find a
reference that says otherwise if you want it changed.

>    for gauss, start with A + 1e-6*I  to move eigenvalues away from 0
>    others have pos/neg eigenvalues, don't need smooth.

No. If you need a smoothed approximation to noisy data rather than
exact interpolation than you use the smooth keyword. Otherwise, you
don't.

-- 
Robert Kern

"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
  -- Umberto Eco