On Tue, Mar 26, 2024 at 3:39 PM Luca Bertolotti
wrote:
> Thanks for your reply yes it seems more appropriate a cubic spline but how
> can i get what they call SC
>
I don't think any of us has enough context to know what "SC" is. It's not a
standard term that I'm aware of.
--
Robert Kern
hello
i'm not sire of what they do and I don't have the source I see just that
they wrote y= f(x) 3rd order
[image: image.png]
using p = cheb.Chebyshev.fit(x, y, 3 , window=[...])
I see that if I change the upper value of the window I can reach similar
solution but I don't understand the
On Mon, 25 Mar 2024 at 20:09, Charles R Harris
wrote:
>
>
> On Mon, Mar 25, 2024 at 11:28 AM Luca Bertolotti <
> luca72.bertolo...@gmail.com> wrote:
>
>> Hello
>> in a vb program they use 3rd degree approx and get this value including
>> displacement:(SC)
>> [image: image.png]
>>
>> Ii think
On Mon, Mar 25, 2024 at 11:28 AM Luca Bertolotti <
luca72.bertolo...@gmail.com> wrote:
> Hello
> in a vb program they use 3rd degree approx and get this value including
> displacement:(SC)
> [image: image.png]
>
> Ii think that i'm doing the same with numpy but I get different value does
> anyone
Hello Luca,
I am a bit confused by the output of VB script.
Equation is: y = f(x), where
x is in the order of 0-2K
y is in the order of 5-10K
The output of fitted polynomial is in y-space, thus I would expect fitted
values to be similar to those of Y.
Now, sc values are very small and
