How can I obtain the parameters estimated in every iteration of lsqcurvefit?
11 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
x = lsqcurvefit(fun,x0,xdata,ydata)
Lsqcurvefit starts at x0 (initial guess) and finds coefficients x to best fit the nonlinear function fun(x,xdata) to the data ydata (in the least-squares sense). Then, it returns the final value(s) of x0 after all iterations are completed. Is it possible to get all the different values, from all iterations, of the initial guess until the solution is found?
Thanks in advance!
0 comentarios
Respuestas (2)
the cyclist
el 3 de Feb. de 2017
In the Input Arguments section, under options, the documentation explains how to display iteration-level details. That seems promising.
2 comentarios
the cyclist
el 4 de Feb. de 2017
Hm. x0 is an input, so I am not sure what you are asking for. (Granted, I don't have experience using this particular function.)
If there are no output options that suit your needs, you could always copy the function to your own version (e.g. mylsqcurvefit), and edit it so that it outputs the things you need while it is executing.
Ver también
Categorías
Más información sobre Least Squares en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!