[Scilab-users] Analytic models for empirical 3D data

[Claus Futtrup]

Hi Federico

 >It is 1) the difficult part.

Is it allowed to give answer outside of Scilab? I have successfully used 
Curve Expert for finding the most suitable analytical function.

https://www.curveexpert.net/

... highly recommended.

Best regards,
Claus

On 24.09.2019 02:50, Federico Miyara wrote:
>
> Dear all,
>
> This is a tough one, and I'm aware it may not be directly related to 
> Scilab, so sorry if it is off-topic. I post it anyway because it could 
> lead in a future to a toolbox.
>
> I'm looking for general methods for obtaining analytic models for 
> empirical data such as a variable which depends on two independent 
> variables (i.e., a double entry table). The aim isn't just to 
> interpolate but to find a sort of analytical law that approximates the 
> data. This has two steps:
>
> 1) Finding an analytic function, of two independent variables with as 
> few parameters as possible that can likely approximate the data.
>
> 2) Optimizing the parameters for the best approximation to the data
>
> 2) Is relatively easy by least-squares or other optimization 
> techniques. It is 1) the difficult part.
>
> Any help as to literature or known mehods will be welcome
>
> Federico Miyara
>
>
>
>
>
>
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