Hi! I’m trying to use Julia to make a curve fit with the functional form: model = ( p[1] / x ) * exp( -p[2] / x ) to a data-set I have. I tried LsqFit, however, if I’m not making really good initial guesses for the parameters p[1] and p[2], the algorithm can’t find a good fit (or even remotely c…

[image] PeX: Second, you are all probably right, my data falls at the very initial section of the functional form Ah, I see. If I plot the sum-of-squares error (SSE) that you are minimizing, computed by sse(model, xdata, ydata, p) = sum(((x,y),) -> abs2(y - model(x, p)), zip(xdata,ydata)) t…

Alternatives to LsqFit for nonlinear curve fitting?

General Usage

RomeoV December 21, 2023, 4:48pm 14

I’ve found the pretty new NonlinearSolve.jl to be by far the best and easiest to use. Nonlinear Least Squares Solvers · NonlinearSolve.jl

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Is `LsqFit.jl` abandoned?

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Alternatives to LsqFit for nonlinear curve fitting?

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