Samuel:
Oh, this is embarrasing... I did a web search on non-linear fit and
somehow the top results always point at an outdated version (5.5.2) of
Scilab's documentation. I wonder why
Thanks, the new documentation is much better!
Regerds,
Federico Miyara
On 04/04/2020 06:58, Samuel
Dear friends, I'm still a layman at SCILAB, but I'm using SCILAB this week
to be able to plot an efficiency map through a routine I created on it.
Basically the efficiency map is summarized in* annex 1_0 and annex 1_1*(I
took it from the internet to exemplify the problem), where through a TORQUE
I apologize,
it worked !
Thank you Stéphane !
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Hello Stéphane,
thank you.
I introduced
u0 = [0,0,13,0]';
but it had no effect.
Cédric
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Hello,
Try to transpose u0.
S.
Le 06/04/2020 à 11:41, Cruz a écrit :
Hello everybody,
I have a system of 2 differential equations (Eq.1 and Eq.2) coupled of order
2 as shown in the attached image. Normally, I can easily find the solution
by transforming this system onto a system of order 1
Hello everybody,
I have a system of 2 differential equations (Eq.1 and Eq.2) coupled of order
2 as shown in the attached image. Normally, I can easily find the solution
by transforming this system onto a system of order 1 by changing variables.
Hi all,
I would appreciate comments/corrections from you guys as I am far
from a specialist in this field!
If some of you find this example useful, I can try to work a bit to improve it
and push it as an atom module.
In fact, I have a bunch of other fit functions (like gaussian, diode-like
Hi Scilabers
Good examples are worth a lot. Maybe this one could be part of the
Scilab documentation?
Best regards,
Claus
On 06.04.2020 08:17, Antoine Monmayrant wrote:
Hello Heinz,
See below the small example I built and I refer to whenever I need to do some
data fitting with confidence
Hello Heinz,
See below the small example I built and I refer to whenever I need to do some
data fitting with confidence intervals for the parameters of the model.
It is far from perfect but it might help you untangle the Jacobian and
covariance matrix thingy.
Just two words of caution: (1) I am
